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ORCIDIEEE Journal of Biomedical and Health Informatics, Volume 28
Volume 28, Number 1, January 2024
- Wenjian Qin
, Tianming Liu, Fa Zhang:
Guest Editorial Computational Mathematics Modeling in Cancer Analysis. 4-6 - Rui Yan, Zhilong Lv, Zhidong Yang, Senlin Lin, Chun-Hou Zheng, Fa Zhang:
Sparse and Hierarchical Transformer for Survival Analysis on Whole Slide Images. 7-18 - Ziqi Zhao, Wentao Li, Ping Liu, Aili Zhang, Jianqi Sun, Lisa X. Xu:
Survival Analysis for Multimode Ablation Using Self-Adapted Deep Learning Network Based on Multisource Features. 19-30 - Fan Song, Jiaxin Tian, Peng Zhang, Chenbin Ma, Yangyang Sun, Youdan Feng, Tianyi Zhang, Yanli Lei, Yufang He, Zhongyu Cai, Yuanzhi Cheng, Guanglei Zhang:
A Novel Feature Engineering Method Based on Latent Representation Learning for Radiomics: Application in NSCLC Subtype Classification. 31-41 - Jiawei Zhang, Jianyun Cao, Fan Tang, Tao Xie, Qianjin Feng, Meiyan Huang:
Multi-Level Feature Exploration and Fusion Network for Prediction of IDH Status in Gliomas From MRI. 42-53 - Shijie Zhao, Wenyuan Li, Zhuoyan Liu, Tianji Pang, Yang Yang, Ning Qiang, Jingyi Zhao, Bangguo Li, Baiying Lei, Junwei Han:
End-to-End Prediction of EGFR Mutation Status With Denseformer. 54-65 - Yilong Li, Linyan Wang, Xingru Huang, Yaqi Wang, Le Dong, Ruiquan Ge, Huiyu Zhou, Juan Ye, Qianni Zhang:
Sketch-Supervised Histopathology Tumour Segmentation: Dual CNN-Transformer With Global Normalised CAM. 66-77 - Zhi Wang, Kai Fan, Xiaoya Zhu, Honglei Liu, Gang Meng, Minghui Wang, Ao Li:
Cross-Domain Nuclei Detection in Histopathology Images Using Graph-Based Nuclei Feature Alignment. 78-88 - Hsienchih Ting, Manhua Liu:
Multimodal Transformer of Incomplete MRI Data for Brain Tumor Segmentation. 89-99 - Wen Li, Saikit Lam, Yinghui Wang, Chenyang Liu, Tian Li, Jens Kleesiek, Andy Lai-Yin Cheung, Ying Sun, Francis Kar-ho Lee, Kwok-hung Au, Victor Ho-fun Lee, Jing Cai:
Model Generalizability Investigation for GFCE-MRI Synthesis in NPC Radiotherapy Using Multi-Institutional Patient-Based Data Normalization. 100-109 - Liangliang Liu, Ying Wang, Pei Zhang, Hongbo Qiao, Tong Sun, Hui Zhang, Xue Xu, Hongcai Shang:
Collaborative Transfer Network for Multi-Classification of Breast Cancer Histopathological Images. 110-121 - Xiaoyi Lin, Mingyu Wang, Fei Li, Ziyue Xu, Jia Chen, Xin Chen, Chenglang Yuan, Songxiong Wu, Yanji Luo, Jingxian Shen, Shi-Ting Feng, Bingsheng Huang:
Improving Tumor Classification by Reusing Self-Predicted Segmentation of Medical Images as Guiding Knowledge. 122-133 - Feiyang Yu, Xi Wang, Rasoul Sali, Ruijiang Li:
Single-Cell Heterogeneity-Aware Transformer-Guided Multiple Instance Learning for Cancer Aneuploidy Prediction From Whole Slide Histopathology Images. 134-144 - Yongxian Fan, Hao Gong:
An Improved COVID-19 Classification Model on Chest Radiography by Dual-Ended Multiple Attention Learning. 145-156 - Zheng Zeng, Linkai Tao, Ruizhi Su, Yunfeng Zhu, Long Meng, Adili Tuheti, Hao Huang, Feng Shu, Wei Chen, Chen Chen:
Unsupervised Transfer Learning Approach With Adaptive Reweighting and Resampling Strategy for Inter-Subject EOG-Based Gaze Angle Estimation. 157-168 - Zhale Nowroozilarki, Bobak J. Mortazavi, Roozbeh Jafari:
Variational Autoencoders for Biomedical Signal Morphology Clustering and Noise Detection. 169-180 - Mustapha Deji Dere, Boreom Lee:
A Novel Approach to Surface EMG-Based Gesture Classification Using a Vision Transformer Integrated With Convolutive Blind Source Separation. 181-192 - Roneel V. Sharan, Kun Qian, Yoshiharu Yamamoto:
Automated Cough Sound Analysis for Detecting Childhood Pneumonia. 193-203 - Xiangcun Wang, Ran Shi, Xia Wu, Jiacai Zhang:
Decoding Human Interaction Type From Inter-Brain Synchronization by Using EEG Brain Network. 204-215 - Huaicheng Zhang, Wenhan Liu, Sheng Chang, Hao Wang, Jin He, Qijun Huang:
ST-ReGE: A Novel Spatial-Temporal Residual Graph Convolutional Network for CVD. 216-227 - Diego Cajal, Eduardo Gil, Pablo Laguna, Carolina Varon, Dries Testelmans, Bertien Buyse, Chris Jensen, Rohan Hoare, Raquel Bailón, Jesús Lázaro:
Obstructive Sleep Apnea Screening by Joint Saturation Signal Analysis and PPG-Derived Pulse Rate Oscillations. 228-238 - Huaiyu Zhu, Yisheng Zhao, Xiaofei Chen, Feixiang Luo, Lingli Mei, Shuohui Chen, Yun Pan:
Video-Based Neonatal Pain Assessment in Uncontrolled Conditions. 239-250 - Xiangyu Zhao, Zengxin Qi, Sheng Wang, Qian Wang, Xuehai Wu, Ying Mao, Lichi Zhang:
RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation. 251-261 - Ziyu Li, Qing Li, Zhiyuan Zhu, Zhongyi Hu, Xia Wu:
Multi-Scale Spatio-Temporal Fusion With Adaptive Brain Topology Learning for fMRI Based Neural Decoding. 262-272 - Fei Lyu, Mang Ye, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, Pong C. Yuen:
Local Style Transfer via Latent Space Manipulation for Cross-Disease Lesion Segmentation. 273-284 - Lei Zhao, Guanghua Tan, Bin Pu, Qianghui Wu, Hongliang Ren, Kenli Li:
TransFSM: Fetal Anatomy Segmentation and Biometric Measurement in Ultrasound Images Using a Hybrid Transformer. 285-296 - Sheng-Kai Huang, Yu-Ting Yu, Chun-Rong Huang, Hsiu-Chi Cheng:
Cross-Scale Fusion Transformer for Histopathological Image Classification. 297-308 - Sirui Wu, Wenxuan Chen, Zhongsen Li, Shuai Wang, Haozhong Sun, Xiaolei Song:
COMET: Cross-Space Optimization-Based Mutual Learning Network for Super-Resolution of CEST-MRI. 309-320 - Minghui Zhang, Yun Gu:
Towards Connectivity-Aware Pulmonary Airway Segmentation. 321-332 - Asma Alzaid, Beth Lineham, Sanja Dogramadzi, Hemant Pandit, Alejandro F. Frangi, Sheng Quan Xie:
Simultaneous Hip Implant Segmentation and Gruen Landmarks Detection. 333-342 - Jasper Linmans, Emiel Hoogeboom, Jeroen van der Laak, Geert Litjens:
The Latent Doctor Model for Modeling Inter-Observer Variability. 343-354 - Chengyang Zhang, Jie Chen, Bo Li, Min Feng, Yongquan Yang, Qikui Zhu, Hong Bu:
Difference-Deformable Convolution With Pseudo Scale Instance Map for Cell Localization. 355-366 - Shuzhe Chen, Li Li, Zhichao Lin, Ke Zhang, Ying Gong, Lu Wang, Xu Wu, Maokun Li, Yuanlin Song, Fan Yang, Shenheng Xu:
Spatio-Temporal Classification of Lung Ventilation Patterns Using 3D EIT Images: A General Approach for Individualized Lung Function Evaluation. 367-378 - Junjie Shi, Li Yu, Qimin Cheng, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan:
MFTrans: Modality-Masked Fusion Transformer for Incomplete Multi-Modality Brain Tumor Segmentation. 379-390 - Luyue Yu, Ju Liu, Qiang Wu, Jing Wang, Aixi Qu:
A Siamese-Transport Domain Adaptation Framework for 3D MRI Classification of Gliomas and Alzheimer's Diseases. 391-402 - Dong Miao, Jielang Li, Meng Dou, Linjie Fu, Yu Yao, Xin Wang, Feng Wen, Yali Shen:
A SwinTransformer-Based Segmentation Framework With Self-Supervised Strategy for Post-Operative Prostate Cancer Radiotherapy. 403-414 - Dingkun Liu, Danni Ai, Tianyu Fu, Yuanjin Gao, Jingfan Fan, Hong Song, Deqiang Xiao, Ping Liang, Jian Yang:
Local Contractive Registration With Biomechanical Model: Assessing Microwave Ablation After Compensation for Tissue Shrinkage. 415-426 - Runshi Zhang, Bimeng Jie, Yang He, Liang Zhu, Zefeng Xie, Zhan Liu, Hao Mo, Junchen Wang:
Craniomaxillofacial Bone Segmentation and Landmark Detection Using Semantic Segmentation Networks and an Unbiased Heatmap. 427-437 - Xin Yuan, Zhen Cui, Dingfan Xu, Shuai Zhang, Cancan Zhao, Xinbao Wu, Tongyu Jia, Bo Ouyang:
Occluded Facial Pain Assessment in the ICU Using Action Units Guided Network. 438-449 - Pavel Blinov, Vladimir Kokh:
Medical Profile Model: Scientific and Practical Applications in Healthcare. 450-458 - Xiuding Cai, Jiao Chen, Yaoyao Zhu, Beiming Wang, Yu Yao:
Towards Real-World Applications of Personalized Anesthesia Using Policy Constraint Q Learning for Propofol Infusion Control. 459-469 - Hangyu Zhu, Yonglin Wu, Yao Guo, Cong Fu, Feng Shu, Huan Yu, Wei Chen, Chen Chen:
Towards Real-Time Sleep Stage Prediction and Online Calibration Based on Architecturally Switchable Deep Learning Models. 470-481 - Bor-Shyh Lin, Kai-Jui Liu, Wan-Hsuan Tseng, Aqsa Muzaffar Ahmed, Hsiao-Ching Wang, Bor-Shing Lin:
A Deep Learning-Based Chair System That Detects Sitting Posture. 482-490 - Marco Viceconti, Maarten De Vos, Sabato Mellone, Liesbet Geris:
Position Paper From the Digital Twins in Healthcare to the Virtual Human Twin: A Moon-Shot Project for Digital Health Research. 491-501 - Kyunghoon Hur, Jungwoo Oh, Junu Kim, Jiyoun Kim, Min Jae Lee, Eunbyeol Cho, Seong-Eun Moon, Young-Hak Kim, Louis Atallah, Edward Choi:
GenHPF: General Healthcare Predictive Framework for Multi-Task Multi-Source Learning. 502-513 - Saeed Iqbal, Adnan N. Qureshi, Musaed A. Alhussein, Khursheed Aurangzeb, Muhammad Shahid Anwar:
AD-CAM: Enhancing Interpretability of Convolutional Neural Networks With a Lightweight Framework - From Black Box to Glass Box. 514-525 - Sijia Yang, Shunjie Chen, Pei Wang, Aimin Chen, Tianhai Tian:
TSPLASSO: A Two-Stage Prior LASSO Algorithm for Gene Selection Using Omics Data. 526-537 - Haibin Liu, Dianguo Li, Hao Wu:
lncLocator-imb: An Imbalance-Tolerant Ensemble Deep Learning Framework for Predicting Long Non-Coding RNA Subcellular Localization. 538-547 - Pan Zhang, Xiaowen Hu, Guangdi Li, Lei Deng:
AntiViralDL: Computational Antiviral Drug Repurposing Using Graph Neural Network and Self-Supervised Learning. 548-556 - Peng Zhao, Xian Song, Xiaoming Xi, Xiushan Nie, Xianjing Meng, Yi Qu, Yilong Yin:
Biomarkers-Aware Asymmetric Bibranch GAN With Adaptive Memory Batch Normalization for Prediction of Anti-VEGF Treatment Response in Neovascular Age-Related Macular Degeneration. 557-568 - Xiangzhen Shen, Zimeng Li, Yuansheng Liu, Bosheng Song, Xiangxiang Zeng:
PEB-DDI: A Task-Specific Dual-View Substructural Learning Framework for Drug-Drug Interaction Prediction. 569-579 - Lihong Peng, Wei Xiong, Chendi Han, Zejun Li, Xing Chen:
CellDialog: A Computational Framework for Ligand-Receptor-Mediated Cell-Cell Communication Analysis. 580-591
Volume 28, Number 2, February 2024
- Wenjin Wang, Caifeng Shan, Steffen Leonhardt, Ramakrishna Mukkamala, Ewa Nowara:
Guest Editorial Camera-Based Health Monitoring in Real-World Scenarios. 595-597 - Ze Yang, Haofei Wang, Bo Liu, Feng Lu:
cbPPGGAN: A Generic Enhancement Framework for Unpaired Pulse Waveforms in Camera-Based Photoplethysmography. 598-608 - Changchen Zhao, Menghao Zhou, Zheng Zhao, Bin Huang, Bing Rao:
Learning Spatio-Temporal Pulse Representation With Global-Local Interaction and Supervision for Remote Prediction of Heart Rate. 609-620 - Bing-Fei Wu, Li-Wen Chiu, Yi-Chiao Wu, Chun-Chih Lai, Hao-Min Cheng, Pao-Hsien Chu:
Contactless Blood Pressure Measurement Via Remote Photoplethysmography With Synthetic Data Generation Using Generative Adversarial Networks. 621-632 - Le Zhou, Nate Lannan, Guoliang Fan:
A Review of Depth-Based Human Motion Enhancement: Past and Present. 633-644 - Mehdy Dousty, David J. Fleet, José Zariffa:
Hand Grasp Classification in Egocentric Video After Cervical Spinal Cord Injury. 645-654 - Mohamed Abul Hassan, Xuwang Yin, Yan Zhuang, Chad M. Aldridge, Timothy McMurry, Andrew M. Southerland, Gustavo K. Rohde:
A Digital Camera-Based Eye Movement Assessment Method for NeuroEye Examination. 655-665 - Rishabh Gupta, Lucas Goldstone, Shira Eisen, Dhanesh Ramachandram, Amy Cassata, Robert D. J. Fraser, Jose L. Ramirez-Garcialuna, Robert Bartlett, Justin Allport:
Towards an AI-Based Objective Prognostic Model for Quantifying Wound Healing. 666-677 - Janet Pigueiras-del-Real, Lionel C. Gontard, Isabel Benavente-Fernández, Simón Pedro Lubián-López, Enrique Gallero-Rebollo, Ángel Ruiz-Zafra:
NRP: A Multi-Source, Heterogeneous, Automatic Data Collection System for Infants in Neonatal Intensive Care Units. 678-689 - Shengjie Ji, Dan Ma, Lunxin Pan, Wenan Wang, Xiaohang Peng, Joan Toluwani Amos, Honorine Niyigena Ingabire, Min Li, Ying Wang, Dezhong Yao, Peng Ren:
Automated Prediction of Infant Cognitive Development Risk by Video: A Pilot Study. 690-701 - Habib Hamam:
Guest Editorial Achieving Health Equity Through AI for Diagnosis and Treatment and Patient Monitoring. 702-706 - Qianghua Liu, Yu Tian, Tianshu Zhou, Kewei Lyu, Zhixiao Wang, Yixiao Zheng, Ying Liu, Jingjing Ren, Jingsong Li:
An Explainable and Personalized Cognitive Reasoning Model Based on Knowledge Graph: Toward Decision Making for General Practice. 707-718 - Wei Dai, Rui Liu, Tianyi Wu, Min Wang, Jianqin Yin, Jun Liu:
Deeply Supervised Skin Lesions Diagnosis With Stage and Branch Attention. 719-729 - Zhijiang Wan, Manyu Li, Zihan Wang, Hai Tan, Wei Li, Lisu Yu, Dinesh Jackson Samuel:
CellT-Net: A Composite Transformer Method for 2-D Cell Instance Segmentation. 730-741 - I-Jung Lee, Yu Hen Hu, Pei-Chi Hsiao, Shu-Yu Yang, Hsin-Te Lin, Yu-Chung Chen, Bor-Shing Lin:
AI-Based Automatic System for Assessing Upper-Limb Spasticity of Patients With Stroke Through Voluntary Movement. 742-752 - Shengchao Chen, Sufen Ren, Guanjun Wang, Mengxing Huang, Chenyang Xue:
Interpretable CNN-Multilevel Attention Transformer for Rapid Recognition of Pneumonia From Chest X-Ray Images. 753-764 - Jinpei Han, Xiao Gu, Guang-Zhong Yang, Benny Lo:
Noise-Factorized Disentangled Representation Learning for Generalizable Motor Imagery EEG Classification. 765-776 - Jiahui Pan, Rongming Liang, Zhipeng He, Jingcong Li, Yan Liang, Xinjie Zhou, Yanbin He, Yuanqing Li:
ST-SCGNN: A Spatio-Temporal Self-Constructing Graph Neural Network for Cross-Subject EEG-Based Emotion Recognition and Consciousness Detection. 777-788 - Sahar Soltanieh, Javad Hashemi, Ali Etemad:
In-Distribution and Out-of-Distribution Self-Supervised ECG Representation Learning for Arrhythmia Detection. 789-800 - Yu Wei, Yongpeng Zhu, Yihan Zhou, Xiaokang Yu, Yuxi Luo:
Automatic Sleep Staging Based on Contextual Scalograms and Attention Convolution Neural Network Using Single-Channel EEG. 801-811 - Jingyao Sun, Tianyu Jia, Ping-Ju Lin, Zhibin Li, Linhong Ji, Chong Li:
Multiscale Canonical Coherence for Functional Corticomuscular Coupling Analysis. 812-822 - Jian Chen, Ranlin Lu, Shilin Ye, Mengting Guang, Tewodros Megabiaw Tassew, Bin Jing, Guofu Zhang, Geng Chen, Dinggang Shen:
Image Recovery Matters: A Recovery-Extraction Framework for Robust Fetal Brain Extraction From MR Images. 823-834 - Dong Yan, Qiang Li, Chia-Wei Lin, Jeng-Yi Shieh, Wen-Chin Weng, Po-Hsiang Tsui:
Hybrid QUS Radiomics: A Multimodal-Integrated Quantitative Ultrasound Radiomics for Assessing Ambulatory Function in Duchenne Muscular Dystrophy. 835-845 - Yunchu Zhang, Jianfei Dong:
MAEF-Net: MLP Attention for Feature Enhancement in U-Net based Medical Image Segmentation Networks. 846-857 - Feiyang Yang, Xiongfei Li, Haoran Duan, Feilong Xu, Yawen Huang, Xiaoli Zhang, Yang Long, Yefeng Zheng:
MRL-Seg: Overcoming Imbalance in Medical Image Segmentation With Multi-Step Reinforcement Learning. 858-869 - Jules Bonnard, Arnaud Dapogny, Richard Zsamboki, Lucrezia De Braud, Davor Jurkovic, Kévin Bailly, Ferdinand Dhombres:
Prior-Guided Attribution of Deep Neural Networks for Obstetrics and Gynecology. 870-880 - Xiaoming Qi, Yuting He, Yaolei Qi, Youyong Kong, Guanyu Yang, Shuo Li:
STANet: Spatio-Temporal Adaptive Network and Clinical Prior Embedding Learning for 3D+T CMR Segmentation. 881-892 - Yifan Zhang, Yonghui Wang, Lisheng Xu, Yudong Yao, Wei Qian, Lin Qi:
ST-GAN: A Swin Transformer-Based Generative Adversarial Network for Unsupervised Domain Adaptation of Cross-Modality Cardiac Segmentation. 893-904 - Lian Xinsen, Kunping Yang, Chen Bingzhi, Cai Xiuhong, Lu Xinling, Xu Xinyao, Chen Jinlin, Tian Ming, Pengtao Lin, Xi Zheng, Chen Linying:
Vague-Segment Technique: Automatic Computation of Tumor Stroma Ratio for Breast Cancer on Whole Slides. 905-916 - Ying Yang, Tao Xiang, Xiao Lv, Lihua Li, Lok Ming Lui, Tieyong Zeng:
Double Transformer Super-Resolution for Breast Cancer ADC Images. 917-928 - Chunna Tian, Zhenxi Zhang, Xinbo Gao, Heng Zhou, Ran Ran, Zhicheng Jiao:
An Implicit-Explicit Prototypical Alignment Framework for Semi-Supervised Medical Image Segmentation. 929-940 - Wenchao Jiang, Kang Chen, Zhipeng Liang, Tianchun Luo, Guanghui Yue, Zhiming Zhao, Wei Song, Ling Zhao, Jianxuan Wen:
HT-RCM: Hashimoto's Thyroiditis Ultrasound Image Classification Model Based on Res-FCT and Res-CAM. 941-951 - Taslim Mahbub, Ahmad Obeid, Sajid Javed, Jorge Dias, Taimur Hassan, Naoufel Werghi:
Center-Focused Affinity Loss for Class Imbalance Histology Image Classification. 952-963 - Xiaoyuan Luo, Linhao Qu, Qinhao Guo, Zhijian Song, Manning Wang:
Negative Instance Guided Self-Distillation Framework for Whole Slide Image Analysis. 964-975 - Yuhu Shi, Zhibin Jin, Jin Deng, Weiming Zeng, Lili Zhou:
A Novel High-Dimensional Kernel Joint Non-Negative Matrix Factorization With Multimodal Information for Lung Cancer Study. 976-987 - Bingxue Wang, Liwen Zou, Jun Chen, Yingying Cao, Zhenghua Cai, Yudong Qiu, Liang Mao, Zhongqiu Wang, Jingya Chen, Luying Gui, Xiaoping Yang:
A Weakly Supervised Segmentation Network Embedding Cross-Scale Attention Guidance and Noise-Sensitive Constraint for Detecting Tertiary Lymphoid Structures of Pancreatic Tumors. 988-999 - Chunzhuo Wang, T. Sunil Kumar, Walter De Raedt, Guido Camps, Hans Hallez, Bart Vanrumste:
Eat-Radar: Continuous Fine-Grained Intake Gesture Detection Using FMCW Radar and 3D Temporal Convolutional Network With Attention. 1000-1011 - Mingxing Chen, Yiqing Wang, Yuting Shi, Jie Feng, Ruimin Feng, Xiaojun Guan, Xiaojun Xu, Yuyao Zhang, Cheng Jin, Hongjiang Wei:
Brain Age Prediction Based on Quantitative Susceptibility Mapping Using the Segmentation Transformer. 1012-1021 - Brandon Oubre, Sunghoon Ivan Lee:
Detection and Assessment of Point-to-Point Movements During Functional Activities Using Deep Learning and Kinematic Analyses of the Stroke-Affected Wrist. 1022-1030 - Ritika Jain, A. G. Ramakrishnan:
Modality-Specific Feature Selection, Data Augmentation and Temporal Context for Improved Performance in Sleep Staging. 1031-1042 - Zhiqiang Chen, Xue Pan, Zhifei Xu, Ke Li, Yudan Lv, Yuan Zhang, Hongqiang Sun:
A Semi-Supervised Multi-Scale Arbitrary Dilated Convolution Neural Network for Pediatric Sleep Staging. 1043-1053 - Zeyu Tang, Adam Patyk, James Jolly, Stephanie P. Goldstein, John Graham Thomas, Adam W. Hoover:
Detecting Eating Episodes From Wrist Motion Using Daily Pattern Analysis. 1054-1065 - Ming-Yang Ho, Ming-Che Kuo, Ciao-Sin Chen, Ruey-Meei Wu, Ching-Chi Chuang, Chi-Sheng Shih, Yufeng Jane Tseng:
Pathological Gait Analysis With an Open-Source Cloud-Enabled Platform Empowered by Semi-Supervised Learning-PathoOpenGait. 1066-1077 - Jian Liu, Shuaicong Hu, Ya'nan Wang, Qihan Hu, Daomiao Wang, Cuiwei Yang:
A Lightweight Hybrid Model Using Multiscale Markov Transition Field for Real-Time Quality Assessment of Photoplethysmography Signals. 1078-1088 - Abdallah Alsammani, William C. Stacey, Stephen V. Gliske:
Estimation of Circular Statistics in the Presence of Measurement Bias. 1089-1100 - Zhiyuan Xu, Xiao Xu, Xuemei Zhu, Kai Niu, Jie Dong, Zhiqiang He:
Attention-Based Deep Learning Model for Prediction of Major Adverse Cardiovascular Events in Peritoneal Dialysis Patients. 1101-1109 - Cui-Na Jiao, Feng Zhou, Bao-Min Liu, Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao:
Multi-Kernel Graph Attention Deep Autoencoder for MiRNA-Disease Association Prediction. 1110-1121 - Zhouyang Lou, Mingyang Li, Nan Kong, Noll L. Campbell, Wanzhu Tu:
An Improved Statistical Modeling Approach to Individual Anticholinergic Drug Use Trend Analysis. 1122-1133 - Hongmin Cai, Yi Liao, Lei Zhu, Zhikang Wang, Jiangning Song:
Improving Cancer Survival Prediction via Graph Convolutional Neural Network Learning on Protein-Protein Interaction Networks. 1134-1143 - Na Cheng, Chuanmei Bi, Yong Shi, Mengya Liu, Anqi Cao, Mengkun Ren, Junfeng Xia, Zhen Liang:
Effect Predictor of Driver Synonymous Mutations Based on Multi-Feature Fusion and Iterative Feature Representation Learning. 1144-1151 - Yafei Ou, Prasoon Ambalathankandy, Ryunosuke Furuya, Seiya Kawada, Tianyu Zeng, Yujie An, Tamotsu Kamishima, Kenichi Tamura, Masayuki Ikebe:
Corrections to "A Sub-Pixel Accurate Quantification of Joint Space Narrowing Progression in Rheumatoid Arthritis". 1152-1154
Volume 28, Number 3, March 2024
- Vijay Kumar, Amit Kumar Singh, Robertas Damasevicius:
Guest Editorial Artificial Intelligence-Driven Biomedical Imaging Systems for Precision Diagnostic Applications. 1158-1160 - Yiping Jiao, Jeroen van der Laak, Shadi Albarqouni, Zhang Li, Tao Tan, Abhir Bhalerao, Shenghua Cheng, Jiabo Ma, John Pocock, Josien P. W. Pluim, Navid Alemi Koohbanani, Raja Muhammad Saad Bashir, Shan-E-Ahmed Raza, Sibo Liu, Simon Graham, Suzanne C. Wetstein, Syed Ali Khurram, Xiuli Liu, Nasir M. Rajpoot, Mitko Veta, Francesco Ciompi:
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. 1161-1172 - Nehal Ahmad, Kuan-Ting Lai, Muhammad Tanveer:
Retinal Blood Vessel Tracking and Diameter Estimation via Gaussian Process With Rider Optimization Algorithm. 1173-1184 - Abdul Qayyum, Abdesslam Benzinou, Imran Razzak, Moona Mazher, Thanh Thi Nguyen, Domenec Puig, Fatemeh Vafaee:
3D-IncNet: Head and Neck (H&N) Primary Tumors Segmentation and Survival Prediction. 1185-1194 - Young Seok Jeon, Hongfei Yang, Mengling Feng:
FCSN: Global Context Aware Segmentation by Learning the Fourier Coefficients of Objects in Medical Images. 1195-1206 - Amin Ul Haq, Jianping Li, Inayat Khan, Bless Lord Y. Agbley, Sultan Ahmad, Muhammad Irfan Uddin, Wang Zhou, Shakir Khan, Iftikhar Alam:
DEBCM: Deep Learning-Based Enhanced Breast Invasive Ductal Carcinoma Classification Model in IoMT Healthcare Systems. 1207-1217 - Tanmay Kumar Behera, Muhammad Attique Khan, Sambit Bakshi:
Brain MR Image Classification Using Superpixel-Based Deep Transfer Learning. 1218-1227 - Miao Wang, Xingwei An, Zhengcun Pei, Ning Li, Li Zhang, Gang Liu, Dong Ming:
An Efficient Multi-Task Synergetic Network for Polyp Segmentation and Classification. 1228-1239 - Vandana Bharti, Bhaskar Biswas, Kaushal Kumar Shukla:
QEMCGAN: Quantized Evolutionary Gradient Aware Multiobjective Cyclic GAN for Medical Image Translation. 1240-1251 - Raffaele Berzoini, Eleonora D'Arnese, Davide Conficconi, Marco D. Santambrogio:
NERONE: The Fast Way to Efficiently Execute Your Deep Learning Algorithm at the Edge. 1252-1260 - Shahriar Hossain, Amitabha Chakrabarty, Thippa Reddy Gadekallu, Mamoun Alazab, Md. Jalil Piran:
Vision Transformers, Ensemble Model, and Transfer Learning Leveraging Explainable AI for Brain Tumor Detection and Classification. 1261-1272 - Idil Aytekin, Onat Dalmaz, Kaan Gonc, Haydar Ankishan, Emine Ulku Saritas, Ulas Bagci, Haydar Celik, Tolga Çukur:
COVID-19 Detection From Respiratory Sounds With Hierarchical Spectrogram Transformers. 1273-1284 - Long Chen, Chenghu Tang, Zhongpeng Wang, Lei Zhang, Bin Gu, Xiuyun Liu, Dong Ming:
Enhancing Motor Sequence Learning via Transcutaneous Auricular Vagus Nerve Stimulation (taVNS): An EEG Study. 1285-1296 - Panagiota Kontou, Souheil Ben Smida, Dimitris E. Anagnostou:
Contactless Respiration Monitoring Using Wi-Fi and Artificial Neural Network Detection Method. 1297-1308 - Yue Shi, Shuhao Ma, Yihui Zhao, Chaoyang Shi, Zhiqiang Zhang:
A Physics-Informed Low-Shot Adversarial Learning for sEMG-Based Estimation of Muscle Force and Joint Kinematics. 1309-1320 - Zhangdaihong Liu, Tingting Zhu, Lei Lu, Yuan-Ting Zhang, David A. Clifton:
Intelligent Electrocardiogram Acquisition Via Ubiquitous Photoplethysmography Monitoring. 1321-1330 - Lang Zou, Guanzheng Liu:
Multiscale Bidirectional Temporal Convolutional Network for Sleep Apnea Detection Based on Wearable Photoplethysmography Bracelet. 1331-1340 - Riaz Minhas, Semih Arbatli, Yeliz Celik, Yuksel Peker, Beren Semiz:
A Novel Approach to Quantify Microsleep in Drivers With Obstructive Sleep Apnea by Concurrent Analysis of EEG Patterns and Driving Attributes. 1341-1352 - Chongbo Yin, Yineng Zheng, Xiaorong Ding, Yan Shi, Jian Qin, Xingming Guo:
Detection of Coronary Artery Disease Based on Clinical Phonocardiogram and Multiscale Attention Convolutional Compression Network. 1353-1362 - Jiayan Liu, Yangyang Yuan, Xinyu Jiang, Yao Guo, Fumin Jia, Chenyun Dai:
A Robust and Real-Time Framework of Cross-Subject Myoelectric Control Model Calibration via Multi-Source Domain Adaptation. 1363-1373 - Long Chen, Jiatong He, Jiasheng Zhang, Zhongpeng Wang, Lei Zhang, Bin Gu, Xiuyun Liu, Dong Ming:
Influence of Transcutaneous Vagus Nerve Stimulation on Motor Planning: A Resting-State and Task-State EEG Study. 1374-1385 - Haobo Zhang, Peng Zhang, Zhiwei Wang, Lianying Chao, Yuting Chen, Qiang Li:
Multi-Feature Decision Fusion Network for Heart Sound Abnormality Detection and Classification. 1386-1397 - Giorgos Papanastasiou, Nikolaos Dikaios, Jiahao Huang, Chengjia Wang, Guang Yang:
Is Attention all You Need in Medical Image Analysis? A Review. 1398-1411 - Junyang Chen, Guoheng Huang, Xiaochen Yuan, Guo Zhong, Zewen Zheng, Chi-Man Pun, Jian Zhu, Zhixin Huang:
Quaternion Cross-Modality Spatial Learning for Multi-Modal Medical Image Segmentation. 1412-1423 - Jianwei Zheng, Yidong Yan, Liang Zhao, Xiang Pan:
CGMA-Net: Cross-Level Guidance and Multi-Scale Aggregation Network for Polyp Segmentation. 1424-1435 - Bangjun Li, Weifeng Hu, Chun-Mei Feng, Yujun Li, Zhi Liu, Yong Xu:
Multi-Contrast Complementary Learning for Accelerated MR Imaging. 1436-1447 - Renjie Pan, Ruisheng Ran, Wei Hu, Wenfeng Zhang, Qibing Qin, Shaoguo Cui:
S3-Net: A Self-Supervised Dual-Stream Network for Radiology Report Generation. 1448-1459 - Yusuke Akamatsu, Terumi Umematsu, Hitoshi Imaoka:
CalibrationPhys: Self-Supervised Video-Based Heart and Respiratory Rate Measurements by Calibrating Between Multiple Cameras. 1460-1471 - Weijin Xu, Huihua Yang, Yinghuan Shi, Tao Tan, Wentao Liu, Xipeng Pan, Yiming Deng, Feng Gao, Ruisheng Su:
ERNet: Edge Regularization Network for Cerebral Vessel Segmentation in Digital Subtraction Angiography Images. 1472-1483 - Huabing Liu, Dong Nie, Jian Yang, Jinda Wang, Zhenyu Tang:
A New Multi-Atlas Based Deep Learning Segmentation Framework With Differentiable Atlas Feature Warping. 1484-1493 - Yameng Zhang, Yufei Gao, Jing Xu, Guohua Zhao, Lei Shi, Lingfei Kong:
Unsupervised Joint Domain Adaptation for Decoding Brain Cognitive States From tfMRI Images. 1494-1503 - Ji-Hye Oh, Deok-Joong Lee, Chang-Hoon Ji, Dong-Hee Shin, Ji-Wung Han, Young-Han Son, Tae-Eui Kam:
Graph-Based Conditional Generative Adversarial Networks for Major Depressive Disorder Diagnosis With Synthetic Functional Brain Network Generation. 1504-1515 - Jinting Wang, Jiafei Liang, Yang Xiao, Joey Tianyi Zhou, Zhiwen Fang, Feng Yang:
TaiChiNet: Negative-Positive Cross-Attention Network for Breast Lesion Segmentation in Ultrasound Images. 1516-1527 - Lingzhi Tang, Zitian Zhang, Jinzhu Yang, Yong Feng, Song Sun, Baoxin Liu, Junting Ma, Jiaxi Liu, Haibo Shao:
A New Automated Prognostic Prediction Method Based on Multi-Sequence Magnetic Resonance Imaging for Hepatic Resection of Colorectal Cancer Liver Metastases. 1528-1539 - Wujun Jiang, Lijia Zhi, Shaomin Zhang, Tao Zhou:
A Dual-Branch Framework With Prior Knowledge for Precise Segmentation of Lung Nodules in Challenging CT Scans. 1540-1551 - Xueyu Zhang, Qingxiang Li, Wei Li, Yuxing Guo, Jianyun Zhang, Chuanbin Guo, Kan Chang, Nigel H. Lovell:
FD-Net: Feature Distillation Network for Oral Squamous Cell Carcinoma Lymph Node Segmentation in Hyperspectral Imagery. 1552-1563 - Xiang Zhang, Hongxin Xiang, Xixi Yang, Jingxin Dong, Xiangzheng Fu, Xiangxiang Zeng, Haowen Chen, Keqin Li:
Dual-View Learning Based on Images and Sequences for Molecular Property Prediction. 1564-1574 - Yan Zhang, Chun Li, Zhaoxia Liu, Ming Li:
Semi-Supervised Disease Classification Based on Limited Medical Image Data. 1575-1586 - Wenqing Li, Wenhui Huang, Yuanjie Zheng:
CorrDiff: Corrective Diffusion Model for Accurate MRI Brain Tumor Segmentation. 1587-1598 - Kai Chen, Zhengyuan Zhou, Yuchen Li, Xu Ji, Jiasong Wu, Jean-Louis Coatrieux, Yang Chen, Gouenou Coatrieux:
RED-Net: Residual and Enhanced Discriminative Network for Image Steganalysis in the Internet of Medical Things and Telemedicine. 1611-1622 - Yanling Li, Steven Tien Guan Thng, Adams Wai-Kin Kong:
Bridging the Gap Between Vitiligo Segmentation and Clinical Scores. 1623-1634 - Jiyao Wang, Hao Lu, Ange Wang, Yingcong Chen, Dengbo He:
Hierarchical Style-Aware Domain Generalization for Remote Physiological Measurement. 1635-1643 - Fuad Noman, Chee-Ming Ting, Hakmook Kang, Raphaël C.-W. Phan, Hernando C. Ombao:
Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification. 1644-1655 - Dan Wu, Yingxue Mei, Zhaohong Sun, Huilong Duan, Ning Deng:
Multi-Feature Map Integrated Attention Model for Early Prediction of Type 2 Diabetes Using Irregular Health Examination Records. 1656-1667 - Guishen Wang, Xiaoxue Lou, Fang Guo, Devin Kwok, Chen Cao:
EHR-HGCN: An Enhanced Hybrid Approach for Text Classification Using Heterogeneous Graph Convolutional Networks in Electronic Health Records. 1668-1679 - Zifan Jiang, Salman Seyedi, Emily Griner, Ahmed Abbasi, Ali Bahrami Rad, Hyeokhyen Kwon, Robert O. Cotes, Gari D. Clifford:
Multimodal Mental Health Digital Biomarker Analysis From Remote Interviews Using Facial, Vocal, Linguistic, and Cardiovascular Patterns. 1680-1691 - Jaeyoung Huh, Sangjoon Park, Jeong Eun Lee, Jong Chul Ye:
Improving Medical Speech-to-Text Accuracy using Vision-Language Pre-training Models. 1692-1703 - Zekai Wang, Suhao Chen, Tieming Liu, Bing Yao:
Multi-Branching Temporal Convolutional Network With Tensor Data Completion for Diabetic Retinopathy Prediction. 1704-1715 - David Pinto-Fernandez, David Rodriguez-Cianca, Juan C. Moreno, Diego Torricelli:
Human Locomotion Databases: A Systematic Review. 1716-1729 - Lijuan Duan, Yan Zhang, Zhaoyang Huang, Bian Ma, Wenjian Wang, Yuanhua Qiao:
Dual-Teacher Feature Distillation: A Transfer Learning Method for Insomniac PSG Staging. 1730-1741 - Lei Wang, Zheng-Wei Li, Zhu-Hong You, De-Shuang Huang, Leon Wong:
GSLCDA: An Unsupervised Deep Graph Structure Learning Method for Predicting CircRNA-Disease Association. 1742-1751 - Lei Wang, Zheng-Wei Li, Zhu-Hong You, De-Shuang Huang, Leon Wong:
MAGCDA: A Multi-Hop Attention Graph Neural Networks Method for CircRNA-Disease Association Prediction. 1752-1761 - Liwei Liu, Yuxiao Wei, Qi Zhang, Qi Zhao:
SSCRB: Predicting circRNA-RBP Interaction Sites Using a Sequence and Structural Feature-Based Attention Model. 1762-1772 - Jianliang Gao, Zhenpeng Wu, Raeed Al-Sabri, Babatounde Moctard Oloulade, Jiamin Chen:
AutoDDI: Drug-Drug Interaction Prediction With Automated Graph Neural Network. 1773-1784 - Herty Liany, Aishwarya Jayagopal, Dachuan Huang, Jing Quan Lim, Nur Izzah NBH, Anand Jeyasekharan, Choon Kiat Ong, Vaibhav Rajan:
ASTER: A Method to Predict Clinically Relevant Synthetic Lethal Genetic Interactions. 1785-1796 - Binh Duong Giap, Karthik Srinivasan, Ossama Mahmoud, Shahzad Ihsan Mian, Bradford Laurence Tannen, Nambi Nallasamy:
Adaptive Tensor-Based Feature Extraction for Pupil Segmentation in Cataract Surgery. 1599-1610
Volume 28, Number 4, April 2024
- Ghulam Muhammad, Farook Sattar, Zulfiqar Ali:
Guest Editorial Insights of Machine Learning into Medical Decision Making Systems: From Research to Practice. 1801-1802 - Mohanad Alkhodari, Leontios J. Hadjileontiadis, Ahsan H. Khandoker:
Identification of Congenital Valvular Murmurs in Young Patients Using Deep Learning-Based Attention Transformers and Phonocardiograms. 1803-1814 - Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu:
Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During Pandemic. 1815-1823 - Rosanna Turrisi, Margherita Squillario, Giulia Abate, Daniela Letizia Uberti, Annalisa Barla:
An Overview of Data Integration in Neuroscience With Focus on Alzheimer's Disease. 1824-1835 - Qianqian Xie, Prayag Tiwari, Sophia Ananiadou:
Knowledge-Enhanced Graph Topic Transformer for Explainable Biomedical Text Summarization. 1836-1847 - Theresa Bender, Jacqueline Michelle Beinecke, Dagmar Krefting, Carolin Müller, Henning Dathe, Tim Seidler, Nicolai Spicher, Anne-Christin Hauschild:
Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria. 1848-1859 - Sefki Kolozali, Sara L. White, Shane Norris, Maria Fasli, Alastair van Heerden:
Explainable Early Prediction of Gestational Diabetes Biomarkers by Combining Medical Background and Wearable Devices: A Pilot Study With a Cohort Group in South Africa. 1860-1871 - Le Sun, Mingyang Zhang, Benyou Wang, Prayag Tiwari:
Few-Shot Class-Incremental Learning for Medical Time Series Classification. 1872-1882 - Fahmi Khalifa, Imran Razzak, Mohammad Amjad Kamal, Ahmed Soliman:
Guest Editorial Advanced Machine Learning and Artificial Intelligence Tools for Computational Biology: Methodologies and Challenges. 1883-1885 - Usman Naseem, Matloob Khushi, Adam G. Dunn, Jinman Kim:
K-PathVQA: Knowledge-Aware Multimodal Representation for Pathology Visual Question Answering. 1886-1895 - Ritesh Sharma, Sameer Shrivastava, Sanjay Kumar Singh, Abhinav Kumar, Amit Kumar Singh, Sonal Saxena:
EnDL-HemoLyt: Ensemble Deep Learning-Based Tool for Identifying Therapeutic Peptides With Low Hemolytic Activity. 1896-1905 - Aleksandr Talitckii, Joslyn L. Mangal, Brendon K. Colbert, Abhinav P. Acharya, Matthew M. Peet:
Employing Feature Selection Algorithms to Determine the Immune State of a Mouse Model of Rheumatoid Arthritis. 1906-1916 - Ling-Yan Gu, Ting-Bo Chen, Jianqiang Li, Yu-An Huang, Zhihua Du, Victor C. M. Leung, Jie Chen:
Hybrid Bayesian Optimization-Based Graphical Discovery for Methylation Sites Prediction. 1917-1926 - Yiqun Lin, Liang Pan, Yi Li, Ziwei Liu, Xiaomeng Li:
Exploiting Hierarchical Interactions for Protein Surface Learning. 1927-1936 - Cong Shen, Dongdong Mao, Jijun Tang, Zhijun Liao, Shengyong Chen:
Prediction of LncRNA-Protein Interactions Based on Kernel Combinations and Graph Convolutional Networks. 1937-1948 - Ritesh Sharma, Sameer Shrivastava, Sanjay Kumar Singh, Abhinav Kumar, Amit Kumar Singh, Sonal Saxena:
Artificial Intelligence-Based Model for Predicting the Minimum Inhibitory Concentration of Antibacterial Peptides Against ESKAPEE Pathogens. 1949-1958 - Dewei Yi, Petar Baltov, Yining Hua, Sam Philip, Pradip Kumar Sharma:
Compound Scaling Encoder-Decoder (CoSED) Network for Diabetic Retinopathy Related Bio-Marker Detection. 1959-1970 - Guoqing Cai, Fenghui Zhang, Bolun Yang, Shoulin Huang, Ting Ma:
Manifold Learning-Based Common Spatial Pattern for EEG Signal Classification. 1971-1981 - Shisen Chen, Fen Qin, Xuesheng Ma, Jie Wei, Yuan-Ting Zhang, Yuan Zhang, Emil Jovanov:
Multi-View Cross-Fusion Transformer Based on Kinetic Features for Non-Invasive Blood Glucose Measurement Using PPG Signal. 1982-1992 - Meng Chen, Yongjian Li, Liting Zhang, Lei Liu, Baokun Han, Wenzhuo Shi, Shoushui Wei:
Elimination of Random Mixed Noise in ECG Using Convolutional Denoising Autoencoder With Transformer Encoder. 1993-2004 - Md Toki Tahmid, Muhammad Ehsanul Kader, Tanvir Mahmud, Shaikh Anowarul Fattah:
MD-CardioNet: A Multi-Dimensional Deep Neural Network for Cardiovascular Disease Diagnosis From Electrocardiogram. 2005-2013 - Temesgen Mehari, Ashish Sundar, Alen Bosnjakovic, Peter M. Harris, Steven E. Williams, Axel Loewe, Olaf Dössel, Claudia Nagel, Nils Strodthoff, Philip J. Aston:
ECG Feature Importance Rankings: Cardiologists Vs. Algorithms. 2014-2024 - Jiang Chang, Zhixin Zhang, Zelin Wang, Jiacheng Li, Linsheng Meng, Pan Lin:
Generative Listener EEG for Speech Emotion Recognition Using Generative Adversarial Networks With Compressed Sensing. 2025-2036 - Jie Xu, Shasha Yuan, Junliang Shang, Juan Wang, Kuiting Yan, Yankai Yang:
Spatiotemporal Network Based on GCN and BiGRU for Seizure Detection. 2037-2046 - Raissa Souza, Anthony J. Winder, Emma A. M. Stanley, Vibujithan Vigneshwaran, Milton Camacho, Richard Camicioli, Oury Monchi, Matthias Wilms, Nils D. Forkert:
Identifying Biases in a Multicenter MRI Database for Parkinson's Disease Classification: Is the Disease Classifier a Secret Site Classifier? 2047-2054 - Yuning Yang, Xiaohong Liu, Tianrun Gao, Xiaodong Xu, Ping Zhang, Guangyu Wang:
Dense Contrastive-Based Federated Learning for Dense Prediction Tasks on Medical Images. 2055-2066 - Minjoo Lim, Keun-Soo Heo, Jun-Mo Kim, Bogyeong Kang, Weili Lin, Han Zhang, Dinggang Shen, Tae-Eui Kam:
A Unified Multi-Modality Fusion Framework for Deep Spatio-Spectral-Temporal Feature Learning in Resting-State fMRI Denoising. 2067-2078 - Mohamed El-Sharkawy, Ahmed Sharafeldeen, Fahmi Khalifa, Ahmed Soliman, Ahmed Elnakib, Mohammed Ghazal, Ashraf Sewelam, Aristomenis Thanos, Harpal Singh Sandhu, Ayman El-Baz:
A Clinically Explainable AI-Based Grading System for Age-Related Macular Degeneration Using Optical Coherence Tomography. 2079-2090 - Jia Wu, Tian Luo, Jiachen Zeng, Fangfang Gou:
Continuous Refinement-Based Digital Pathology Image Assistance Scheme in Medical Decision-Making Systems. 2091-2102 - Xiaoyang Xie, Lin Wu, Zhiming Su, Zhipeng Sun, Xin Cao, Yuqing Hou, Xiaowei He, Fengjun Zhao:
CORONet: A Cross-Sequence Joint Representation and Hypergraph Convolutional Network for Classifying Molecular Subtypes of Breast Cancer Using Incomplete DCE-MRI. 2103-2114 - Zhaohu Xing, Lei Zhu, Lequan Yu, Zhiheng Xing, Liang Wan:
Hybrid Masked Image Modeling for 3D Medical Image Segmentation. 2115-2125 - Zi Wang, Haoming Fang, Chen Qian, Boxuan Shi, Lijun Bao, Liuhong Zhu, Jianjun Zhou, Wenping Wei, Jianzhong Lin, Di Guo, Xiaobo Qu:
A Faithful Deep Sensitivity Estimation for Accelerated Magnetic Resonance Imaging. 2126-2137 - Zuyu Zhang, Yan Li, Byeong-Seok Shin:
Generalizable Polyp Segmentation via Randomized Global Illumination Augmentation. 2138-2151 - Xiu-Long Yi, You Fu, Ruiqing Liu, Hao Zhang, Rong Hua:
TSGET: Two-Stage Global Enhanced Transformer for Automatic Radiology Report Generation. 2152-2162 - Peng Xue, Jingyang Zhang, Lei Ma, Mianxin Liu, Yuning Gu, Jiawei Huang, Feihong Liu, Yongsheng Pan, Xiaohuan Cao, Dinggang Shen:
Structure-Aware Registration Network for Liver DCE-CT Images. 2163-2174 - Feng Zhan, Wenwu Wang, Qian Chen, Yina Guo, Lidan He, Lili Wang:
Three-Direction Fusion for Accurate Volumetric Liver and Tumor Segmentation. 2175-2186 - Aixi Qu, Qiang Wu, Jing Wang, Luyue Yu, Jing Li, Ju Liu:
TNCB: Tri-Net With Cross-Balanced Pseudo Supervision for Class Imbalanced Medical Image Classification. 2187-2198 - Jun Wang, Abhir Bhalerao, Terry Yin, Simon See, Yulan He:
CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation. 2199-2210 - Hongye Zeng, Kang Zhou, Songhan Ge, Yuchong Gao, Jianhao Zhao, Shenghua Gao, Rui Zheng:
Anatomical Prior and Inter-Slice Consistency for Semi-Supervised Vertebral Structure Detection in 3D Ultrasound Volume. 2211-2222 - Wei Mao, Yuzhong Chen, Zhibin He, Zifan Wang, Zhenxiang Xiao, Yusong Sun, Liang He, Jingchao Zhou, Weitong Guo, Chong Ma, Lin Zhao, Keith M. Kendrick, Bo Zhou, Benjamin Becker, Tianming Liu, Tuo Zhang, Xi Jiang:
Brain Structural Connectivity Guided Vision Transformers for Identification of Functional Connectivity Characteristics in Preterm Neonates. 2223-2234 - José Morano, Guilherme Aresta, Christoph Grechenig, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Deep Multimodal Fusion of Data With Heterogeneous Dimensionality via Projective Networks. 2235-2246 - Christoph S. Metzner, Shang Gao, Drahomira Herrmannova, Elia Lima-Walton, Heidi A. Hanson:
Attention Mechanisms in Clinical Text Classification: A Comparative Evaluation. 2247-2258 - Wei Zhang, Weihan Cheng, Koichi Fujiwara, Richard Evans, Chengyan Zhu:
Predictive Modeling for Hospital Readmissions for Patients With Heart Disease: An Updated Review From 2012-2023. 2259-2269 - Ganjun Liu, Tao Zhang, Xiaonan Liu, Xiaohui Hou, Biyun Ding, Dehui Fu, Zhibo Pang:
PVR-Vocoder: A Pathological Voice Repair Vocoder for Voice Disorders. 2270-2281 - Ji-Hoon Jeong, In-Gyu Lee, Sung-Kyung Kim, Tae-Eui Kam, Seong-Whan Lee, Euijong Lee:
DeepHealthNet: Adolescent Obesity Prediction System Based on a Deep Learning Framework. 2282-2293 - Fanglin Zhu, Xu Zhang, Batuo Zhang, Yonghui Xu, Lizhen Cui:
Medicine Package Recommendation via Dual-Level Interaction Aware Heterogeneous Graph. 2294-2303 - Bryn C. Loftness, Julia Halvorson-Phelan, Aisling O'Leary, Carter Bradshaw, Shania Prytherch, Isabel Berman, John B. Torous, William E. Copeland, Nick Cheney, Ryan S. McGinnis, Ellen W. McGinnis:
The ChAMP App: A Scalable mHealth Technology for Detecting Digital Phenotypes of Early Childhood Mental Health. 2304-2313 - Xueyang Zhou, Qiming Fu, Youbing Xia, Yunzhe Wang, You Lu, Yanming Chen, Jianping Chen:
LoGo-GR: A Local to Global Graphical Reasoning Framework for Extracting Structured Information From Biomedical Literature. 2314-2325 - Siddhartha Kapuria, Patrick Minot, Ariel Kapusta, Naruhiko Ikoma, Farshid Alambeigi:
A Novel Dual Layer Cascade Reliability Framework for an Informed and Intuitive Clinician-AI Interaction in Diagnosis of Colorectal Cancer Polyps. 2326-2337 - Liang Wu, Shunbo Hu, Duanwei Wang, Changchun Liu, Li Wang:
RClaNet: An Explainable Alzheimer's Disease Diagnosis Framework by Joint Registration and Classification. 2338-2349 - Marcos Lupión, Federico Cruciani, Ian Cleland, Chris D. Nugent, Pilar M. Ortigosa:
Data Augmentation for Human Activity Recognition With Generative Adversarial Networks. 2350-2361 - Guodong Li, Bowei Zhao, Xiaorui Su, Yue Yang, Pengwei Hu, Xi Zhou, Lun Hu:
Discovering Consensus Regions for Interpretable Identification of RNA N6-Methyladenosine Modification Sites via Graph Contrastive Clustering. 2362-2372 - Chuan-Yuan Wang, Zhi-Ping Liu:
Network Activity Evaluation Reveals Significant Gene Regulatory Architectures During SARS-CoV-2 Viral Infection From Dynamic scRNA-seq Data. 2373-2384 - Sathyanarayanan N. Aakur, Vishalini R. Laguduva, Priyadharsini Ramamurthy, Akhilesh Ramachandran:
TEPI: Taxonomy-Aware Embedding and Pseudo-Imaging for Scarcely-Labeled Zero-Shot Genome Classification. 2385-2396 - Xun Wang, Lian Qiao, Peng Qu, Qing Yang:
TBCA: Prediction of Transcription Factor Binding Sites Using a Deep Neural Network With Lightweight Attention Mechanism. 2397-2407 - Yingwen Zhao, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
Predicting Protein Functions Based on Heterogeneous Graph Attention Technique. 2408-2415 - Shuhan Huang, Minhui Wang, Xiao Zheng, Jiajia Chen, Chang Tang:
Hierarchical and Dynamic Graph Attention Network for Drug-Disease Association Prediction. 2416-2427 - Hai-Hui Huang, Jun Shu, Yong Liang:
MUMA: A Multi-Omics Meta-Learning Algorithm for Data Interpretation and Classification. 2428-2436 - Rahele Mohammadi, Peyman Neamatollahi, Morteza Moradi, Mahmoud Naghibzadeh, Abdorreza Savadi:
Efficient Motif Discovery in Protein Sequences Using a Branch and Bound Algorithm. 2437-2444 - Cong Wang, Zhijie He, Runchang Jia, Shirui Pan, Lachlan J. M. Coin, Jiangning Song, Fuyi Li:
PLANNER: A Multi-Scale Deep Language Model for the Origins of Replication Site Prediction. 2445-2454
Volume 28, Number 5, May 2024
- Athanasios Tsanas, Andreas Triantafyllidis, Manolis Tsiknakis:
Guest Editorial Pervasive Computing in Healthcare. 2459-2460 - Muhammad Zubair, Sungpil Woo, Sunhwan Lim, Daeyoung Kim:
Deep Representation Learning With Sample Generation and Augmented Attention Module for Imbalanced ECG Classification. 2461-2472 - Xiaomao Fan, Xianhui Chen, Wenjun Ma, Weidong Gao:
BAFNet: Bottleneck Attention Based Fusion Network for Sleep Apnea Detection. 2473-2484 - Yujie Li, Jingrui Chen, Wenjun Ma, Gansen Zhao, Xiaomao Fan:
MVF-SleepNet: Multi-View Fusion Network for Sleep Stage Classification. 2485-2495 - Kai Fang, Wei Wang, Marcin Wozniak, Qingchen Zhang, Keping Yu, Junxin Chen, Amr Tolba, Leo Yu Zhang:
Guest Editorial AI-Empowered Internet of Things for Data-Driven Psychophysiological Computing and Patient Monitoring. 2496-2499 - Wenbiao Hu, Gui-Bin Bian, Linfei Huang, Yao Pi, Xianbin Zhang, Xiaoyun Zhang, Victor Hugo C. de Albuquerque, Wan-Qing Wu:
Constructing Bodily Emotion Maps Based on High-Density Body Surface Potentials for Psychophysiological Computing. 2500-2511 - Hao Jin, Ying Gao, Tingting Wang, Ping Gao:
DAST: A Domain-Adaptive Learning Combining Spatio-Temporal Dynamic Attention for Electroencephalography Emotion Recognition. 2512-2523 - Peng He, Shaoming Meng, Yaping Cui, Dapeng Wu, Ruyan Wang:
Compression and Encryption of Heterogeneous Signals for Internet of Medical Things. 2524-2535 - Shiliang Shao, Guangjie Han, Ting Wang, Chuan Lin, Chunhe Song, Chen Yao:
EEG-Based Mental Workload Classification Method Based on Hybrid Deep Learning Model Under IoT. 2536-2546 - Wei Huang, Wenqiang Xu, Renjie Wan, Peng Zhang, Yufei Zha, Meng Pang:
Auto Diagnosis of Parkinson's Disease Via a Deep Learning Model Based on Mixed Emotional Facial Expressions. 2547-2557 - Dongrui Gao, Pengrui Li, Manqing Wang, Yujie Liang, Shihong Liu, Jiliu Zhou, Lutao Wang, Yongqing Zhang:
CSF-GTNet: A Novel Multi-Dimensional Feature Fusion Network Based on Convnext-GeLU- BiLSTM for EEG-Signals-Enabled Fatigue Driving Detection. 2558-2568 - Feifei Shi, Huansheng Ning, Ruoxiu Xiao, Tao Zhu, Nannan Li:
Skin Conductance-Based Acupoint and Non-Acupoint Recognition Using Machine Learning. 2569-2580 - Usman Ahmed, Jerry Chun-Wei Lin, Gautam Srivastava:
Graph Attention-Based Curriculum Learning for Mental Healthcare Classification. 2581-2591 - Haifeng Lu, Shihao Xu, Shipeng Zhao, Xiping Hu, Rong Ma, Bin Hu:
EPIC: Emotion Perception by Spatio-Temporal Interaction Context of Gait. 2592-2601 - Yuzhu Hu, Jian Chen, Junxin Chen, Wei Wang, Shen Zhao, Xiping Hu:
An Ensemble Classification Model for Depression Based on Wearable Device Sleep Data. 2602-2612 - Fernando García-García, Dae-Jin Lee, Pedro Pablo España Yandiola, Isabel Urrutia Landa, Joaquín Martínez-Minaya, Miren Hayet-Otero, Mónica Nieves Ermecheo, José María Quintana, Rosario Menéndez, Antoni Torres, Rafael Zalacain Jorge:
Cost-Sensitive Ordinal Classification Methods to Predict SARS-CoV-2 Pneumonia Severity. 2613-2623 - Shiang Hu, Zhihao Zhang, Xiaochu Zhang, Xiaopei Wu, Pedro A. Valdés-Sosa:
$\bm{\xi}$-$\bm{\pi}$: A Nonparametric Model for Neural Power Spectra Decomposition. 2624-2635 - Bin Lin, Chuanzheng Jia, Huicheng Yang, Yi Zhang, Xianhe Xie, Zhihao Chen, Xianzeng Zhang:
Vital Sign Monitoring for Cancer Patients Based on Dual-Path Sensor and Divided-Frequency-CNN Model. 2636-2649 - Cheng Ding, Zhicheng Guo, Cynthia Rudin, Ran Xiao, Amit J. Shah, Duc H. Do, Randall J. Lee, Gari D. Clifford, Fadi B. Nahab, Xiao Hu:
Learning From Alarms: A Robust Learning Approach for Accurate Photoplethysmography-Based Atrial Fibrillation Detection Using Eight Million Samples Labeled With Imprecise Arrhythmia Alarms. 2650-2661 - Yan Pei, Jiahui Xu, Qianhao Chen, Chenhao Wang, Feng Yu, Lisan Zhang, Wei Luo:
DTP-Net: Learning to Reconstruct EEG Signals in Time-Frequency Domain by Multi-Scale Feature Reuse. 2662-2673 - Lei Liu, Huiqi Y. Lu, Maxine Whelan, Yifan Chen, Xiaorong Ding:
CiGNN: A Causality-Informed and Graph Neural Network Based Framework for Cuffless Continuous Blood Pressure Estimation. 2674-2686 - Dongzhou Cheng, Lei Zhang, Lutong Qin, Shuoyuan Wang, Hao Wu, Aiguo Song:
MaskCAE: Masked Convolutional AutoEncoder via Sensor Data Reconstruction for Self-Supervised Human Activity Recognition. 2687-2698 - Arash Shokouhmand, Xinyu Jiang, Farrokh Ayazi, Negar Ebadi:
MEMS Fingertip Strain Plethysmography for Cuffless Estimation of Blood Pressure. 2699-2712 - Manikandan Shenbagam, Anne Tryphosa Kamatham, Priyanka Vijay, Suman Salimath, Shriniwas Patwardhan, Siddhartha Sikdar, Chitra Kataria, Biswarup Mukherjee:
A Sonomyography-Based Muscle Computer Interface for Individuals With Spinal Cord Injury. 2713-2722 - Dongxuan Li, Peiqi Kang, Yang Yu, Peter B. Shull:
Graph-Driven Simultaneous and Proportional Estimation of Wrist Angle and Grasp Force via High-Density EMG. 2723-2732 - Hongsen Pang, Li Zheng, Hongbin Fang:
Cross-Attention Enhanced Pyramid Multi-Scale Networks for Sensor-Based Human Activity Recognition. 2733-2744 - Pei-Hua Lin, Ping-Huan Kuo, Kuan-Lin Chen:
Developmental Prediction of Poststroke Patients in Activities of Daily Living by Using Tree-Structured Parzen Estimator-Optimized Stacking Ensemble Approaches. 2745-2758 - Benjamin Strandli Fermann, John Nyberg, Espen W. Remme, Jahn Frederik Grue, Helén Grue, Roger Håland, Lasse Løvstakken, Håvard Dalen, Bjørnar Leangen Grenne, Svein Arne Aase, Sten Roar Snare, Andreas Østvik:
Cardiac Valve Event Timing in Echocardiography Using Deep Learning and Triplane Recordings. 2759-2768 - En Lai, Ximing Mai, Minghao Ji, Songwei Li, Jianjun Meng:
High-Frequency Discrete-Interval Binary Sequence in Asynchronous C-VEP-Based BCI for Visual Fatigue Reduction. 2769-2780 - Fangyu Zuo, Peiguang Jing, Jinglin Sun, Jizhong Duan, Yong Ji, Yu Liu:
Deep Learning-Based Eye-Tracking Analysis for Diagnosis of Alzheimer's Disease Using 3D Comprehensive Visual Stimuli. 2781-2793 - Lin Liu, Dongfang Yu, Hongzhou Lu, Caifeng Shan, Wenjin Wang:
Camera-Based Seismocardiogram for Heart Rate Variability Monitoring. 2794-2805 - Yijin Huang, Junyan Lyu, Pujin Cheng, Roger C. Tam, Xiaoying Tang:
SSiT: Saliency-Guided Self-Supervised Image Transformer for Diabetic Retinopathy Grading. 2806-2817 - Yongdong Fan, Qiong Li, Haokun Mao, Feng Jiang:
Magnetoencephalography Decoding Transfer Approach: From Deep Learning Models to Intrinsically Interpretable Models. 2818-2829 - Qingting Jiang, Hailiang Ye, Bing Yang, Feilong Cao:
Label-Decoupled Medical Image Segmentation With Spatial-Channel Graph Convolution and Dual Attention Enhancement. 2830-2841 - Jiachen Zhao, Tianshu Jiang, Yi Lin, Lok-Chun Chan, Ping-Keung Chan, Chun-Yi Wen, Hao Chen:
Adaptive Fusion of Deep Learning With Statistical Anatomical Knowledge for Robust Patella Segmentation From CT Images. 2842-2853 - Kai-Ni Wang, Shengxiao Li, Zhenyu Bu, Fuxing Zhao, Guang-Quan Zhou, Shoujun Zhou, Yang Chen:
SBCNet: Scale and Boundary Context Attention Dual-Branch Network for Liver Tumor Segmentation. 2854-2865 - Luolin Chen, Yusong Zhou, Shengzhou Xu:
ERetinaNet: An Efficient Neural Network Based on RetinaNet for Mammographic Breast Mass Detection. 2866-2878 - Jingjun Zhou, Xiangjiang Dong, Qian Liu:
Clustering-Guided Twin Contrastive Learning for Endomicroscopy Image Classification. 2879-2890 - Xu Ji, Xu Zhuo, Yuchen Lu, Weilong Mao, Shiyu Zhu, Guotao Quan, Yan Xi, Tianling Lyu, Yang Chen:
Image Domain Multi-Material Decomposition Noise Suppression Through Basis Transformation and Selective Filtering. 2891-2903 - Jion Kim, Yan Li, Byeong-Seok Shin:
3D-DGGAN: A Data-Guided Generative Adversarial Network for High Fidelity in Medical Image Generation. 2904-2915 - Jingshu Li, Tianyu Fu, Hong Song, Jingfan Fan, Deqiang Xiao, Yucong Lin, Ying Gu, Jian Yang:
Embedding-Alignment Fusion-Based Graph Convolution Network With Mixed Learning Strategy for 4D Medical Image Reconstruction. 2916-2929 - Hui Che, Jiaxin Qin, Yao Chen, Zihan Ji, Yibo Yan, Jing Yang, Qi Wang, Chaofeng Liang, Jian Wu:
Improving Needle Tip Tracking and Detection in Ultrasound-Based Navigation System Using Deep Learning-Enabled Approach. 2930-2942 - Bin Pu, Kenli Li, Jianguo Chen, Yuhuan Lu, Qing Zeng, Jiewen Yang, Shengli Li:
HFSCCD: A Hybrid Neural Network for Fetal Standard Cardiac Cycle Detection in Ultrasound Videos. 2943-2954 - Xuenan Liu, Xuezhi Yang, Xiaobai Li:
HRUNet: Assessing Uncertainty in Heart Rates Measured From Facial Videos. 2955-2966 - Deok-Joong Lee, Dong-Hee Shin, Young-Han Son, Ji-Wung Han, Ji-Hye Oh, Da-Hyun Kim, Ji-Hoon Jeong, Tae-Eui Kam:
Spectral Graph Neural Network-Based Multi-Atlas Brain Network Fusion for Major Depressive Disorder Diagnosis. 2967-2978 - Diwei Su, Jianxu Luo, Cheng Fei:
An Efficient and Rapid Medical Image Segmentation Network. 2979-2990 - Tao Wei, Yiqi Wang, Yuqiang Zhang, Yunfu Wang, Liang Zhao:
Boundary-Sensitive Segmentation of Small Liver Lesions. 2991-3002 - Huaqi Zhang, Jie Liu, Weifan Liu, Huang Chen, Zekuan Yu, Yixuan Yuan, Pengyu Wang, Jing Qin:
MHD-Net: Memory-Aware Hetero-Modal Distillation Network for Thymic Epithelial Tumor Typing With Missing Pathology Modality. 3003-3014 - Dongmin Huang, Dongfang Yu, Yongshen Zeng, Xiaoyan Song, Liping Pan, Junli He, Lirong Ren, Jie Yang, Hongzhou Lu, Wenjin Wang:
Generalized Camera-Based Infant Sleep-Wake Monitoring in NICUs: A Multi-Center Clinical Trial. 3015-3028 - Cui-Na Jiao, Junliang Shang, Feng Li, Xinchun Cui, Yan-Li Wang, Ying-Lian Gao, Jin-Xing Liu:
Diagnosis-Guided Deep Subspace Clustering Association Study for Pathogenetic Markers Identification of Alzheimer's Disease Based on Comparative Atlases. 3029-3041 - Nuo Tong, Shuiping Gou, Yulin Yang, Bo Liu, Yufeng Bai, Jingzhong Liu, Tan Ding:
Fully Automatic Fine-Grained Grading of Lumbar Intervertebral Disc Degeneration Using Regional Feature Recalibration Network. 3042-3054 - Meiling Wang, Xiaohai He, Luping Liu, Qingmao Fang, Mei Zhang, Honggang Chen, Yan Liu:
HCT: Chinese Medical Machine Reading Comprehension Question-Answering via Hierarchically Collaborative Transformer. 3055-3066 - Daniel Parra, David Joedicke, J. Manuel Velasco, Gabriel Kronberger, José Ignacio Hidalgo:
Learning Difference Equations With Structured Grammatical Evolution for Postprandial Glycaemia Prediction. 3067-3078 - Peketi Divya, Sravani Yenduri, Chalavadi Vishnu, C. Krishna Mohan, Yen-Wei Chen:
Memory Guided Transformer With Spatio-Semantic Visual Extractor for Medical Report Generation. 3079-3089 - Chang Cui, Yongqiang Tang, Wensheng Zhang:
Deep Survival Analysis With Latent Clustering and Contrastive Learning. 3090-3101 - Jiaxi Li, Zhelong Wang, Lina Wu, Sen Qiu, Hongyu Zhao, Fang Lin, Ke Zhang:
Method for Incomplete and Imbalanced Data Based on Multivariate Imputation by Chained Equations and Ensemble Learning. 3102-3113 - Dipesh Tamboli, Jiayu Chen, Kiran Pranesh Jotheeswaran, Denny Yu, Vaneet Aggarwal:
Reinforced Sequential Decision-Making for Sepsis Treatment: The PosNegDM Framework With Mortality Classifier and Transformer. 3114-3122 - Giovanni Annuzzi, Andrea Apicella, Pasquale Arpaia, Lutgarda Bozzetto, Sabatina Criscuolo, Egidio De Benedetto, Marisa Pesola, Roberto Prevete:
Exploring Nutritional Influence on Blood Glucose Forecasting for Type 1 Diabetes Using Explainable AI. 3123-3133 - Haiyue Wang, Zaiyi Liu, Xiaoke Ma:
Learning Consistency and Specificity of Cells From Single-Cell Multi-Omic Data. 3134-3145 - Yuanxu Wang, Jinmiao Song, Qiguo Dai, Xiaodong Duan:
Hierarchical Negative Sampling Based Graph Contrastive Learning Approach for Drug-Disease Association Prediction. 3146-3157 - Fan Hu, Weihong Zhang, Huazhen Huang, Wang Li, Yang Li, Peng Yin:
A Transferability-Based Method for Evaluating the Protein Representation Learning. 3158-3166 - Wenjian Ma, Xiangpeng Bi, Huasen Jiang, Shugang Zhang, Zhiqiang Wei:
CollaPPI: A Collaborative Learning Framework for Predicting Protein-Protein Interactions. 3167-3177 - Wen-Yue Kang, Ying-Lian Gao, Ying Wang, Feng Li, Jin-Xing Liu:
KFDAE: CircRNA-Disease Associations Prediction Based on Kernel Fusion and Deep Auto-Encoder. 3178-3185 - Zichao Lin, Xialv Lin, Xu Yang:
An Automated Analysis Framework for Epidemiological Survey on COVID-19. 3186-3199
Volume 28, Number 6, June 2024
- Jiachen Yang, Houbing Song, Muhammad Khurram Khan:
Guest Editorial XAI Based Biomedical Big Data Privacy and Security. 3203-3205 - Junsheng Mu, Michel Kadoch, Tongtong Yuan, Wenzhe Lv, Qiang Liu, Bohan Li:
Explainable Federated Medical Image Analysis Through Causal Learning and Blockchain. 3206-3218 - Zhiri Tang, Hau-San Wong, Zekuan Yu:
Privacy-Preserving Federated Learning With Domain Adaptation for Multi-Disease Ocular Disease Recognition. 3219-3227 - Izhar Ahmed Khan, Imran Razzak, Dechang Pi, Umar Zia, Shaharyar Kamal, Yasir Hussain:
A Novel Collaborative SRU Network With Dynamic Behaviour Aggregation, Reduced Communication Overhead and Explainable Features. 3228-3235 - Ijaz Ahmad, Mingxing Zhu, Guanglin Li, Danish Javeed, Prabhat Kumar, Shixiong Chen:
A Secure and Interpretable AI for Smart Healthcare System: A Case Study on Epilepsy Diagnosis Using EEG Signals. 3236-3247 - Ziqi Chen, Jun Du, Xiangwang Hou, Keping Yu, Jintao Wang, Zhu Han:
Channel Adaptive and Sparsity Personalized Federated Learning for Privacy Protection in Smart Healthcare Systems. 3248-3257 - Swagatika Devi, Manmath Narayan Sahoo, Sambit Bakshi:
Explainable Reverse Verification of Goodness of Classification of MRI Images by Clinical Experts. 3258-3268 - Xiyu Liang, Yali Liu, Jianting Ning:
An Access Control Scheme With Privacy-Preserving Authentication and Flexible Revocation for Smart Healthcare. 3269-3278 - Sidheswar Routray, Uttam Ghosh, Xingwang Li, Khaled M. Rabie:
Editorial AI Driven Internet of Medical Things for Smart Healthcare Applications: Challenges and Future Trends. 3279-3281 - Jingwei Liu, Jin Zhang, Mian Ahmad Jan, Rong Sun, Lei Liu, Sahil Verma, Pushpita Chatterjee:
A Comprehensive Privacy-Preserving Federated Learning Scheme With Secure Authentication and Aggregation for Internet of Medical Things. 3282-3292 - Farhan Ullah, Gautam Srivastava, Heng Xiao, Shamsher Ullah, Jerry Chun-Wei Lin, Yue Zhao:
A Scalable Federated Learning Approach for Collaborative Smart Healthcare Systems With Intermittent Clients Using Medical Imaging. 3293-3304 - Yixiao Wang, Huaming Wu, Rutvij H. Jhaveri, Youcef Djenouri:
DRL-Based URLLC-Constraint and Energy-Efficient Task Offloading for Internet of Health Things. 3305-3316 - Zhiguo Qu, Wenke Shi, Bo Liu, Deepak Gupta, Prayag Tiwari:
IoMT-Based Smart Healthcare Detection System Driven by Quantum Blockchain and Quantum Neural Network. 3317-3328 - Eric Appiah Mantey, Conghua Zhou, Joseph Henry Anajemba, John Kingsley Arthur, Yasir Hamid, Atif Chowhan, Otuu Obinna Ogbonnia:
Federated Learning Approach for Secured Medical Recommendation in Internet of Medical Things Using Homomorphic Encryption. 3329-3340 - Lianhong Zhang, Yuxin Wu, Lunyuan Chen, Lisheng Fan, Arumugam Nallanathan:
Scoring Aided Federated Learning on Long-Tailed Data for Wireless IoMT Based Healthcare System. 3341-3348 - Li Zhang, Jianbo Xu, Audithan Sivaraman, Lazarus Jegatha Deborah, Pradip Kumar Sharma, Pandi Vijayakumar:
A Two-Stage Differential Privacy Scheme for Federated Learning Based on Edge Intelligence. 3349-3360 - Muhammad Umair Ali, Amad Zafar, Karam Dad Kallu, Haris Masood, Malik Muhammad Naeem Mannan, Malik Muhammad Ibrahim, Sangil Kim, Muhammad Attique Khan:
Correlation-Filter-Based Channel and Feature Selection Framework for Hybrid EEG-fNIRS BCI Applications. 3361-3370 - Hirak Mazumdar, Chinmay Chakraborty, Satheesh Bojja Venkatakrishnan, Ajeet Kaushik, Hardik A. Gohel:
Quantum-Inspired Heuristic Algorithm for Secure Healthcare Prediction Using Blockchain Technology. 3371-3378 - Sumit Singh, Mohammad Hossein Anisi, Anish Jindal, Delaram Jarchi:
Smart Multimodal In-Bed Pose Estimation Framework Incorporating Generative Adversarial Neural Network. 3379-3388 - Bless Lord Y. Agbley, Jianping Li, Amin Ul Haq, Edem Kwedzo Bankas, Cobbinah Bernard Mawuli, Sultan Ahmad, Shakir Khan, Ahmad Raza Khan:
Federated Fusion of Magnified Histopathological Images for Breast Tumor Classification in the Internet of Medical Things. 3389-3400 - Santos Bringas, Rafael Duque, Carmen Lage, José Luis Montaña:
CLADSI: Deep Continual Learning for Alzheimer's Disease Stage Identification Using Accelerometer Data. 3401-3410 - Vu Phan, Ke Song, Rodrigo Scattone Silva, Karin Gravare Silbernagel, Josh R. Baxter, Eni Halilaj:
Seven Things to Know About Exercise Classification With Inertial Sensing Wearables. 3411-3421 - Elena Sibilano, Domenico Buongiorno, Michael Lassi, Antonello Grippo, Valentina Bessi, Sandro Sorbi, Alberto Mazzoni, Vitoantonio Bevilacqua, Antonio Brunetti:
Understanding the Role of Self-Attention in a Transformer Model for the Discrimination of SCD From MCI Using Resting-State EEG. 3422-3433 - Xu Niu, Na Lu, Ruofan Yan, Huan Luo:
Model and Data Dual-Driven Double-Point Observation Network for Ultra-Short MI EEG Classification. 3434-3445 - Junfeng Lu, Anyu Li, Kaijie Li, Renping Yu, Yuxia Hu, Rui Zhang, Lipeng Zhang, Hong Wan, Mingming Chen:
An EEG Study on $\boldsymbol{\upbeta\!\!-\!\!\upgamma}$ Phase-Amplitude Coupling-Based Functional Brain Network in Epilepsy Patients. 3446-3456 - Jesús Lázaro, Natasa Reljin, Raquel Bailón, Eduardo Gil, Yeonsik Noh, Pablo Laguna, Ki H. Chon:
Tracking Tidal Volume From Holter and Wearable Armband Electrocardiogram Monitoring. 3457-3465 - Wuxiang Shi, Yurong Li, Naiqing Cai, Rukai Chen, Wei Cao, Jixiang Li:
Removal of Ocular and Muscular Artifacts From Multi-Channel EEG Using Improved Spatial-Frequency Filtering. 3466-3477 - Liqiang Yuan, Ruilin Li, Jian Cui, Mohammed Yakoob Siyal:
SPARK: A High-Efficiency Black-Box Domain Adaptation Framework for Source Privacy-Preserving Drowsiness Detection. 3478-3488 - Chenou Liu, Kangjian He, Dan Xu, Hongzhen Shi, Hao Zhang, Kunyuan Zhao:
RegFSC-Net: Medical Image Registration via Fourier Transform With Spatial Reorganization and Channel Refinement Network. 3489-3500 - Zheng Zhang, Peng Yao, Mingxiao Chen, Liang Zeng, Pengfei Shao, Shuwei Shen, Ronald X. Xu:
SCAC: A Semi-Supervised Learning Approach for Cervical Abnormal Cell Detection. 3501-3512 - Tian-Ru Wu, Cui-Na Jiao, Xinchun Cui, Yan-Li Wang, Chun-Hou Zheng, Jin-Xing Liu:
Deep Self-Reconstruction Fusion Similarity Hashing for the Diagnosis of Alzheimer's Disease on Multi-Modal Data. 3513-3522 - Zhenhuan Zhou, Yuzhu Chen, Along He, Xitao Que, Kai Wang, Rui Yao, Tao Li:
NKUT: Dataset and Benchmark for Pediatric Mandibular Wisdom Teeth Segmentation. 3523-3533 - Wenxin Wang, Zhuo-Xu Cui, Guanxun Cheng, Chentao Cao, Xi Xu, Ziwei Liu, Haifeng Wang, Yulong Qi, Dong Liang, Yanjie Zhu:
A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor Detection. 3534-3544 - Shun Xiang, Nana Li, Yuanquan Wang, Shoujun Zhou, Jin Wei, Shuo Li:
Automatic Delineation of the 3D Left Atrium From LGE-MRI: Actor-Critic Based Detection and Semi-Supervised Segmentation. 3545-3556 - Pan Huang, Hualiang Xiao, Peng He, Chentao Li, Xiaodong Guo, Sukun Tian, Peng Feng, Hu Chen, Yuchun Sun, Francesco Mercaldo, Antonella Santone, Jing Qin:
LA-ViT: A Network With Transformers Constrained by Learned-Parameter-Free Attention for Interpretable Grading in a New Laryngeal Histopathology Image Dataset. 3557-3570 - Zhengliang Wu, Xuesong Li:
Adaptive Knowledge Distillation for High-Quality Unsupervised MRI Reconstruction With Model-Driven Priors. 3571-3582 - Zhaotong Li, Sha Li, Zeru Zhang, Fei Wang, Fengliang Wu, Song Gao:
Radial Undersampled MRI Reconstruction Using Deep Learning With Mutual Constraints Between Real and Imaginary Components of K-Space. 3583-3596 - Bulat Ibragimov, Claudia Mello-Thoms:
The Use of Machine Learning in Eye Tracking Studies in Medical Imaging: A Review. 3597-3612 - Mingqiang Meng, Yongbo Wang, Manman Zhu, Xi Tao, Zerui Mao, Jingyi Liao, Zhaoying Bian, Dong Zeng, Jianhua Ma:
DDT-Net: Dose-Agnostic Dual-Task Transfer Network for Simultaneous Low-Dose CT Denoising and Simulation. 3613-3625 - Mohammad Zunaed, Md. Aynal Haque, Taufiq Hasan:
Learning to Generalize Towards Unseen Domains via a Content-Aware Style Invariant Model for Disease Detection From Chest X-Rays. 3626-3636 - Jiayu Ye, An Zeng, Dan Pan, Yiqun Zhang, Jingliang Zhao, Qiuping Chen, Yang Liu:
MAD-Former: A Traceable Interpretability Model for Alzheimer's Disease Recognition Based on Multi-Patch Attention. 3637-3648 - Kaichao Wu, Beth Jelfs, Katrina Neville, Seedahmed S. Mahmoud, Wenzhen He, Qiang Fang:
Dynamic Reconfiguration of Brain Functional Network in Stroke. 3649-3659 - Chong Wang, Shuxin Li, Jing Ke, Chen Zhang, Yiqing Shen:
RandStainNA++: Enhance Random Stain Augmentation and Normalization Through Foreground and Background Differentiation. 3660-3671 - Sibo Qiao, Shanchen Pang, Yi Sun, Gang Luo, Wenjing Yin, Yawu Zhao, Silin Pan, Zhihan Lv:
SPReCHD: Four-Chamber Semantic Parsing Network for Recognizing Fetal Congenital Heart Disease in Medical Metaverse. 3672-3682 - Wei Nie, Bingrui Zhou, Zhiyong Wang, Bowen Chen, Xinming Wang, Chunchun Hu, Huiping Li, Qiong Xu, Xiu Xu, Honghai Liu:
Computational Interpersonal Communication Model for Screening Autistic Toddlers: A Case Study of Response-to-Name. 3683-3694 - Lutong Wang, Wei Gai, Nan Jiang, Gongxiang Chen, Yulong Bian, Hongqiu Luan, Li Huang, Chenglei Yang:
Effective Motion Self-Learning Genre Using 360° Virtual Reality Content on Mobile Device: A Study Based on Taichi Training Platform. 3695-3708 - Zhen Xu, Jinjin Guo, Lang Qin, Yuntao Xie, Yao Xiao, Xinran Lin, Qiming Li, Xinyang Li:
Predicting ICU Interventions: A Transparent Decision Support Model Based on Multivariate Time Series Graph Convolutional Neural Network. 3709-3720 - Jingwei Zhang, Lauren Swinnen, Christos Chatzichristos, Wim Van Paesschen, Maarten De Vos:
Learning Robust Representations of Tonic-Clonic Seizures With Cyclic Transformer. 3721-3731 - Zhusi Zhong, Jie Li, Shreyas Kulkarni, Helen Zhang, Fayez H. Fayad, Yang Li, Scott Collins, Harrison Bai, Sun Ho Ahn, Michael K. Atalay, Xinbo Gao, Zhicheng Jiao:
De-Biased Disentanglement Learning for Pulmonary Embolism Survival Prediction on Multimodal Data. 3732-3741 - Yujia Mi, Aijing Lin:
Spectral Time-Varying Pattern Causality and Its Application. 3742-3749 - Inci M. Baytas:
Predicting Progression From Mild Cognitive Impairment to Alzheimer's Dementia With Adversarial Attacks. 3750-3761 - Ziyang Xu, Haitian Zhong, Bingrui He, Xueying Wang, Tianchi Lu:
PTransIPs: Identification of Phosphorylation Sites Enhanced by Protein PLM Embeddings. 3762-3771 - Wei Liu, Youze Pan, Zhijie Teng, Junlin Xu:
scDMAE: A Generative Denoising Model Adopted Mask Strategy for scRNA-Seq Data Recovery. 3772-3780 - Eirini Papagiannopoulou, Matías Nicolás Bossa, Nikos Deligiannis, Hichem Sahli:
Long-Term Regional Influenza-Like-Illness Forecasting Using Exogenous Data. 3781-3792
Volume 28, Number 7, July 2024
- Yaoqi Yang, Weizheng Wang, Kapal Dev, Thippa Reddy Gadekallu, Chih-Lin I:
Guest Editorial Real-Time Healthcare Monitoring With IoT Networks. 3796-3797 - Ahsan Habib, Shruthi Narayanan Vaniya, Ahsan Khandoker, Chandan K. Karmakar:
MDDBranchNet: A Deep Learning Model for Detecting Major Depressive Disorder Using ECG Signal. 3798-3809 - Kiran Kumar Patro, Allam Jaya Prakash, Jaya Prakash Sahoo, Sidheswar Routray, Abdullah Baihan, Nagwan M. Abdel Samee, Gaojian Huang:
SMARTSeiz: Deep Learning With Attention Mechanism for Accurate Seizure Recognition in IoT Healthcare Devices. 3810-3818 - Minxi Yang, Dahua Gao, Jiaxuan Li, Wenlong Xu, Guangming Shi:
Superimposed Semantic Communication for IoT-Based Real-Time ECG Monitoring. 3819-3830 - Zhengyu Zhu, Jiaxue Li, Zheng Chu, Jing J. Liang, Hehao Niu, De Mi, Cheng Yin, Peijia Liu:
Active Reconfigurable Intelligent Surface Enhanced Internet of Medical Things. 3831-3840 - Denghui Zhang, Muhammad Shafiq, Keke Tang, Usman Naseem:
Multi-Resolution Wavelet Fractal Analysis and Subtask Training for Enhancing Few-Shot Noisy Brainwave Recognition. 3841-3850 - Fangpeng Jin, Mi Zou, Xiaoyun Peng, Hua Lei, Yongjun Ren:
Deep Learning-Enhanced Internet of Things for Activity Recognition in Post-Stroke Rehabilitation. 3851-3859 - Shahzaib Iqbal, Tariq Mahmood Khan, Syed Saud Naqvi, Asim Naveed, Muhammad Usman, Haroon Ahmed Khan, Imran Razzak:
LDMRes-Net: A Lightweight Neural Network for Efficient Medical Image Segmentation on IoT and Edge Devices. 3860-3871 - Hanzhong Zhang, Tienyu Zuo, Zhiyang Chen, Xin Wang, Poly Z. H. Sun:
Evolutionary Ensemble Learning for EEG-Based Cross-Subject Emotion Recognition. 3872-3881 - Zeng-Ding Liu, Ye Li, Yuan-Ting Zhang, Jia Zeng, Zu-Xian Chen, Jikui Liu, Fen Miao:
HGCTNet: Handcrafted Feature-Guided CNN and Transformer Network for Wearable Cuffless Blood Pressure Measurement. 3882-3894 - Pedro Fonseca, Marco Ross, Andreas Cerny, Peter Anderer, Fons Schipper, Angela Grassi, Merel van Gilst, Sebastiaan Overeem:
Estimating the Severity of Obstructive Sleep Apnea Using ECG, Respiratory Effort and Neural Networks. 3895-3906 - Jiahao Fan, Xiaogang Hu:
Decomposing Task-Relevant Information From Surface Electromyogram for User-Generic Dexterous Finger Force Decoding. 3907-3917 - Haidong Gu, Sheng-Che Yen, Eric Folmar, Chun-An Chou:
GaitNet+ARL: A Deep Learning Algorithm for Interpretable Gait Analysis of Chronic Ankle Instability. 3918-3927 - Yawei Chen, Xuezhi Yang, Rencheng Song, Xuenan Liu, Jie Zhang:
Predicting Arterial Stiffness From Single-Channel Photoplethysmography Signal: A Feature Interaction-Based Approach. 3928-3941 - Mohammad Nikbakht, Michael Chan, David Jimmy Lin, Asim Hossain Gazi, Omer T. Inan:
A Residual U-Net Neural Network for Seismocardiogram Denoising and Analysis During Physical Activity. 3942-3952 - Yi Ding, Su Zhang, Chuangao Tang, Cuntai Guan:
MASA-TCN: Multi-Anchor Space-Aware Temporal Convolutional Neural Networks for Continuous and Discrete EEG Emotion Recognition. 3953-3964 - Joaquin J. Gonzalez-Vazquez, Lluis Bernat, José L. Ramon, Vicente Morell, Andrés Úbeda:
A Deep Learning Approach to Estimate Multi-Level Mental Stress From EEG Using Serious Games. 3965-3972 - Junjiao Sun, Jorge Portilla, Andrés Otero:
A Deep Learning Approach for Fear Recognition on the Edge Based on Two-Dimensional Feature Maps. 3973-3984 - Bolun Zeng, Li Chen, Yuanyi Zheng, Xiaojun Chen:
Adaptive Multi-Dimensional Weighted Network With Category-Aware Contrastive Learning for Fine-Grained Hand Bone Segmentation. 3985-3996 - Lei Hu, Dawei Zhou, Jiahua Xu, Cheng Lu, Chu Han, Zhenwei Shi, Qikui Zhu, Xinbo Gao, Nannan Wang, Zaiyi Liu:
Protecting Prostate Cancer Classification From Rectal Artifacts via Targeted Adversarial Training. 3997-4009 - Chunjun Qian, Chong Jiang, Kai Xie, Chongyang Ding, Yue Teng, Jiawei Sun, Liugang Gao, Zhengyang Zhou, Xinye Ni:
Prognosis Prediction of Diffuse Large B-Cell Lymphoma in $^{18}$F-FDG PET Images Based on Multi-Deep-Learning Models. 4010-4023 - Minwoo Shin, Minjee Seo, Seung-Schik Yoo, Kyungho Yoon:
tFUSFormer: Physics-Guided Super-Resolution Transformer for Simulation of Transcranial Focused Ultrasound Propagation in Brain Stimulation. 4024-4035 - Shan Ling, Laifa Yan, Rongsong Mao, Jizhou Li, Haoran Xi, Fei Wang, Xiaolin Li, Min He:
A Coarse-Fine Collaborative Learning Model for Three Vessel Segmentation in Fetal Cardiac Ultrasound Images. 4036-4047 - Xiaofei Huang, Hongfang Gong, Jin Zhang:
HST-MRF: Heterogeneous Swin Transformer With Multi-Receptive Field for Medical Image Segmentation. 4048-4061 - Yimin Luo, Qinyu Yang, Ziyi Liu, Zenglin Shi, Weimin Huang, Guoyan Zheng, Jun Cheng:
Target-Guided Diffusion Models for Unpaired Cross-Modality Medical Image Translation. 4062-4071 - Lei Yang, Yuge Gu, Gui-Bin Bian, Yanhong Liu:
MSDE-Net: A Multi-Scale Dual-Encoding Network for Surgical Instrument Segmentation. 4072-4083 - Zolnamar Dorjsembe, Hsing-Kuo Pao, Sodtavilan Odonchimed, Furen Xiao:
Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis. 4084-4093 - Moritz Fuchs, Mirko Konstantin, Nicolas Schrade, Leonille Schweizer, Yuri Tolkach, Anirban Mukhopadhyay:
Sliding Window Optimal Transport for Open World Artifact Detection in Histopathology. 4094-4104 - Qin Wan, Zengqiang Yan, Li Yu:
FedIOD: Federated Multi-Organ Segmentation From Partial Labels by Exploring Inter-Organ Dependency. 4105-4117 - Jie Cao, Xin Wang, Zhiwei Qu, Li Zhuo, Xiaoguang Li, Hui Zhang, Yang Yang, Wei Wei:
WDFF-Net: Weighted Dual-Branch Feature Fusion Network for Polyp Segmentation With Object-Aware Attention Mechanism. 4118-4131 - Hao Quan, Xinjia Li, Dayu Hu, Tianhang Nan, Xiaoyu Cui:
Dual-Channel Prototype Network for Few-Shot Pathology Image Classification. 4132-4144 - Yitian Tao, Liyan Ma, Jing Yu, Han Zhang:
Memory-Based Cross-Modal Semantic Alignment Network for Radiology Report Generation. 4145-4156 - Benlian Xu, Di Wu, Jian Shi, Jinliang Cong, Mingli Lu, Feng Yang, Brett Nener:
Isolated Random Forest Assisted Spatio-Temporal Ant Colony Evolutionary Algorithm for Cell Tracking in Time-Lapse Sequences. 4157-4169 - Xingqun Qi, Zhuojie Wu, Wenxuan Zou, Min Ren, Yifan Gao, Muyi Sun, Shanghang Zhang, Caifeng Shan, Zhenan Sun:
Exploring Generalizable Distillation for Efficient Medical Image Segmentation. 4170-4183 - Km Poonam, Rajlakshmi Guha, Partha Pratim Chakraborty:
Predicting Alzheimer's Disease Progression Using a Versatile Sequence-Length-Adaptive Encoder-Decoder LSTM Architecture. 4184-4193 - Ruoqing Zhang, Shanshan Feng, Nan Hu, Shunkang Low, Meng Li, Xiaogang Chen, Hongyan Cui:
Hybrid Brain-Computer Interface Controlled Soft Robotic Glove for Stroke Rehabilitation. 4194-4203 - Jiaxin Cai, Yang Li, Baichen Liu, Zhixi Wu, Shengjun Zhu, Qiliang Chen, Qing Lei, Hongyan Hou, Zhibin Guo, Hewei Jiang, Shujuan Guo, Feng Wang, Shengjing Huang, Shunzhi Zhu, Xionglin Fan, Sheng-ce Tao:
Developing Deep LSTMs With Later Temporal Attention for Predicting COVID-19 Severity, Clinical Outcome, and Antibody Level by Screening Serological Indicators Over Time. 4204-4215 - David Azriel, Yosef Rinott, Orna Tal, Benyamine Abbou, Nadav Rappoport:
Surgery Duration Prediction Using Multi-Task Feature Selection. 4216-4223 - Jianxuan Huang, Baoyao Yang, Kejing Yin, Jingwen Xu:
DNA-T: Deformable Neighborhood Attention Transformer for Irregular Medical Time Series. 4224-4237 - Marco Postiglione, Daniel Bean, Zeljko Kraljevic, Richard J. B. Dobson, Vincenzo Moscato:
Predicting Future Disorders via Temporal Knowledge Graphs and Medical Ontologies. 4238-4248 - Seungwon Oh, Young-Seok Kweon, Gi-Hwan Shin, Seong-Whan Lee:
MEDi-SOL: Multi Ensemble Distribution Model for Estimating Sleep Onset Latency. 4249-4259 - Fayang Xiang, Li Zhang, Yidan Ye, Chuyue Xiong, Yanjie Zhang, Yan Hu, Jiang Du, Yi Zhou, Qiyue Deng, Xinke Li:
Using Pupil Diameter for Psychological Resilience Assessment in Medical Students Based on SVM and SHAP Model. 4260-4268 - Suparna Ghanvatkar, Vaibhav Rajan:
Evaluating Explanations From AI Algorithms for Clinical Decision-Making: A Social Science-Based Approach. 4269-4280 - Bo-Wei Zhao, Yi-Zhou He, Xiao-Rui Su, Yue Yang, Guo-Dong Li, Yu-An Huang, Peng-Wei Hu, Zhu-Hong You, Lun Hu:
Motif-Aware miRNA-Disease Association Prediction via Hierarchical Attention Network. 4281-4294 - Zitong Zhang, Lingling Zhao, Junjie Wang, Chunyu Wang:
A Hierarchical Graph Neural Network Framework for Predicting Protein-Protein Interaction Modulators With Functional Group Information and Hypergraph Structure. 4295-4305 - Ping Xuan, Xiuju Wang, Hui Cui, Xiangfeng Meng, Toshiya Nakaguchi, Tiangang Zhang:
Meta-Path Semantic and Global-Local Representation Learning Enhanced Graph Convolutional Model for Disease-Related miRNA Prediction. 4306-4316 - Liang-Yong Xia, Yu Wu, Longfei Zhao, Leying Chen, Shiyi Zhang, Mengdi Wang, Jie Luo:
Redefining the Game: MVAE-DFDPnet's Low-Dimensional Embeddings for Superior Drug-Protein Interaction Predictions. 4317-4324 - Yuanyi Tian, Quan Zou, Chun-yu Wang, Cangzhi Jia:
MAMLCDA: A Meta-Learning Model for Predicting circRNA-Disease Association Based on MAML Combined With CNN. 4325-4335 - Yiqiang Yi, Xu Wan, Kangfei Zhao, Le Ou-Yang, Peilin Zhao:
Equivariant Line Graph Neural Network for Protein-Ligand Binding Affinity Prediction. 4336-4347 - Weizhong Zhao, Junze Wu, Shujie Luo, Xingpeng Jiang, Tingting He, Xiaohua Hu:
Subtask-Aware Representation Learning for Predicting Antibiotic Resistance Gene Properties via Gating-Controlled Mechanism. 4348-4360 - Young-Han Son, Dong-Hee Shin, Tae-Eui Kam:
FTMMR: Fusion Transformer for Integrating Multiple Molecular Representations. 4361-4372 - Menglu Li, Zhiwei Wang, Luotao Liu, Xuan Liu, Wen Zhang:
Subgraph-Aware Graph Kernel Neural Network for Link Prediction in Biological Networks. 4373-4381 - Jia Zhai, Hui Liu:
Cross-Domain Feature Disentanglement for Interpretable Modeling of Tumor Microenvironment Impact on Drug Response. 4382-4392 - Huili Zhang, Lehang Guo, Jun Wang, Shihui Ying, Jun Shi:
Correction to: Multi-View Feature Transformation Based SVM+ for Computer-Aided Diagnosis of Liver Cancers With Ultrasound Image. 4393-4394
Volume 28, Number 8, August 2024
- Syed Hassan Ahmed, Wei Wei, Wei Wang:
Guest Editorial Special Issue on Data-driven Cognitive Computing for Smart Healthcare Systems. 4398-4399 - Qinyong Lin, Xiongbo Guo, Wenlong Zhang, Lijing Cai, Rongqian Yang, Huazhou Chen, Ken Cai:
A Novel Approach of Surface Texture Mapping for Cone-Beam Computed Tomography in Image-Guided Surgical Navigation. 4400-4409 - Lina Wang, Yan Mao, Jinfeng Xu, Jianan Wu, Kunxiu Wu, Keji Mao, Kai Fang:
A ROI Extraction Method for Wrist Imaging Applied in Smart Bone-Age Assessment System. 4410-4420 - Wenjing Yin, Shudong Wang, Sibo Qiao, Yawu Zhao, Wenhao Wu, Shanchen Pang, Zhihan Lv:
DETHACDA: A Dual-View Edge and Topology Hybrid Attention Model for CircRNA-Disease Associations Prediction. 4421-4431 - Gongfa Li, Cejing Zou, Guozhang Jiang, Du Jiang, Juntong Yun, Guojun Zhao, Yangwei Cheng:
Multi-View Fusion Network-Based Gesture Recognition Using sEMG Data. 4432-4443 - Dongrui Gao, Kejie Wang, Manqing Wang, Jiliu Zhou, Yongqing Zhang:
SFT-Net: A Network for Detecting Fatigue From EEG Signals by Combining 4D Feature Flow and Attention Mechanism. 4444-4455 - Zeshen Tang, Shiyu Tang, Haoran Wang, Renren Li, Xiaochen Zhang, Wei Zhang, Xiao Yuan, Yaning Zang, Yanping Li, Tian Zhou, Yunxia Li:
S2VQ-VAE: Semi-Supervised Vector Quantised-Variational AutoEncoder for Automatic Evaluation of Trail Making Test. 4456-4470 - Dongyuan Wu, Junyi Tao, Zhen Qin, Rao Asad Mumtaz, Jing Qin, Linfang Yu, Jane Courtney:
LightNet: A Novel Lightweight Convolutional Network for Brain Tumor Segmentation in Healthcare. 4471-4482 - Leilei Zhao, Dalin Zhu, Xiaomin Wang, Xia Liu, Tongtong Li, Boyang Wang, Zhijun Yao, Weihao Zheng, Bin Hu:
An Attention-Based Hemispheric Relation Inference Network for Perinatal Brain Age Prediction. 4483-4493 - Yiyang Zhang, Le Sun, Deepak Gupta, Xin Ning, Prayag Tiwari:
DCNet: A Self-Supervised EEG Classification Framework for Improving Cognitive Computing-Enabled Smart Healthcare. 4494-4502 - Yuxun Luo, Wenyu Shan, Li Peng, Lingyun Luo, Pingjian Ding, Wei Liang:
A Computational Framework for Predicting Novel Drug Indications Using Graph Convolutional Network With Contrastive Learning. 4503-4511 - Qiankun Li, Xiaolong Huang, Bo Fang, Huabao Chen, Siyuan Ding, Xu Liu:
Embracing Large Natural Data: Enhancing Medical Image Analysis via Cross-Domain Fine-Tuning. 4512-4521 - Wenhao Zheng, Jintai Chen, Kai Zhang, Jiahuan Yan, Jinhong Wang, Yi Cheng, Bang Du, Danny Z. Chen, Honghao Gao, Jian Wu, Hongxia Xu:
Polygonal Approximation Learning for Convex Object Segmentation in Biomedical Images With Bounding Box Supervision. 4522-4533 - Junjun Huang, Shier Nee Saw, Tianran He, Ruohan Yang, Yesheng Qin, Yanlin Chen, Chu Kiong Loo:
DCNNLFS: A Dilated Convolutional Neural Network With Late Fusion Strategy for Intelligent Classification of Gastric Histopathology Images. 4534-4543 - Xinxing Yang, Genke Yang, Jian Chu:
GraphCL-DTA: A Graph Contrastive Learning With Molecular Semantics for Drug-Target Binding Affinity Prediction. 4544-4552 - Ye Qiu, Xinjie Ma, Xinglong Li, Shaocan Fan, Zhenmiao Deng, Xiaohong Huang:
Non-Contact Blood Pressure Estimation From Radar Signals by a Stacked Deformable Convolution Network. 4553-4564 - Guiying Xu, Zhenyu Wang, Honglin Hu, Xi Zhao, Ruxue Li, Ting Zhou, Tianheng Xu:
Riemannian Locality Preserving Method for Transfer Learning With Applications on Brain-Computer Interface. 4565-4576 - Haoran Sun, Xiangyu Peng, Junlang Wang, Jie Liu, Tingting Fu, Chaoming He:
Wearable Surface Deformation Myography (sDMG) System for Recognition of Locomotion Modes. 4577-4587 - Kun Yang, Zhenning Yao, Keze Zhang, Jing Xu, Li Zhu, Shichao Cheng, Jianhai Zhang:
Automatically Extracting and Utilizing EEG Channel Importance Based on Graph Convolutional Network for Emotion Recognition. 4588-4598 - Luis Mercado-Diaz, Yedukondala Rao Veeranki, Fernando Marmolejo-Ramos, Hugo F. Posada-Quintero:
EDA-Graph: Graph Signal Processing of Electrodermal Activity for Emotional States Detection. 4599-4612 - Mingyue Cao, Xu Cheng, Xingyu Liu, Yan Jiang, Hao Yu, Jingang Shi:
ST-Phys: Unsupervised Spatio-Temporal Contrastive Remote Physiological Measurement. 4613-4624 - Kun Yang, Ruochen Li, Jing Xu, Li Zhu, Wanzeng Kong, Jianhai Zhang:
DSFE: Decoding EEG-Based Finger Motor Imagery Using Feature-Dependent Frequency, Feature Fusion and Ensemble Learning. 4625-4635 - Zhikai Yang, Dinggang Shen, Kannie W. Y. Chan, Jianpan Huang:
Attention-Based MultiOffset Deep Learning Reconstruction of Chemical Exchange Saturation Transfer (AMO-CEST) MRI. 4636-4647 - Zhensen Chen, Yaosheng Lu, Shun Long, Víctor M. Campello, Jieyun Bai, Karim Lekadir:
Fetal Head and Pubic Symphysis Segmentation in Intrapartum Ultrasound Image Using a Dual-Path Boundary-Guided Residual Network. 4648-4659 - Yingen Zhu, Hong Hong, Wenjin Wang:
Privacy-Protected Contactless Sleep Parameters Measurement Using a Defocused Camera. 4660-4673 - Chiu-Han Hsiao, Frank Yeong-Sung Lin, Tzu-Lung Sun, Yen-Yen Liao, Chih-Horng Wu, Yu-Chun Lai, Hung-Pei Wu, Pin-Ruei Liu, Bo-Ren Xiao, Chien-Hung Chen, Yennun Huang:
Precision and Robust Models on Healthcare Institution Federated Learning for Predicting HCC on Portal Venous CT Images. 4674-4687 - Yuchen Wu, Siqi Qiu, Marie Louise Groot, Zhiqing Zhang:
Self-Supervised Image Denoising of Third Harmonic Generation Microscopic Images of Human Glioma Tissue by Transformer-Based Blind Spot (TBS) Network. 4688-4700 - Tianyi Zhao, Gaoyan Zhang:
Enhancing Major Depressive Disorder Diagnosis With Dynamic-Static Fusion Graph Neural Networks. 4701-4710 - Li Yu, Wenwen Min, Shunfang Wang:
Boundary-Aware Gradient Operator Network for Medical Image Segmentation. 4711-4723 - Khaled ELKarazle, Valliappan Raman, Caslon Chua, Patrick H. H. Then:
A Hessian-Based Technique for Specular Reflection Detection and Inpainting in Colonoscopy Images. 4724-4736 - Yulin Yang, Qingqing Chen, Yinhao Li, Fang Wang, Xian-Hua Han, Yutaro Iwamoto, Jing Liu, Lanfen Lin, Hongjie Hu, Yen-Wei Chen:
Segmentation Guided Crossing Dual Decoding Generative Adversarial Network for Synthesizing Contrast-Enhanced Computed Tomography Images. 4737-4750 - Tianzhong Lan, Fanxin Zeng, Zhang Yi, Xiuyuan Xu, Min Zhu:
ICNoduleNet: Enhancing Pulmonary Nodule Detection Performance on Sharp Kernel CT Imaging. 4751-4760 - Weiwei Cao, Jianfeng Guo, Xiaohui You, Yuxin Liu, Lei Li, Wenju Cui, Yuzhu Cao, Xinjian Chen, Jian Zheng:
NeighborNet: Learning Intra- and Inter-Image Pixel Neighbor Representation for Breast Lesion Segmentation. 4761-4771 - Xiang Li, Jian Wang, Haifeng Wei, Jinyu Cong, Hongfu Sun, Pingping Wang, Benzheng Wei:
MH2AFormer: An Efficient Multiscale Hierarchical Hybrid Attention With a Transformer for Bladder Wall and Tumor Segmentation. 4772-4784 - Yuncheng Jiang, Zixun Zhang, Yiwen Hu, Guanbin Li, Xiang Wan, Song Wu, Shuguang Cui, Silin Huang, Zhen Li:
ECC-PolypDet: Enhanced CenterNet With Contrastive Learning for Automatic Polyp Detection. 4785-4796 - Tianxiang Huang, Jing Shi, Juncheng Li, Jun Wang, Jun Du, Jun Shi:
Involution Transformer Based U-Net for Landmark Detection in Ultrasound Images for Diagnosis of Infantile DDH. 4797-4809 - Marcel Beetz, Abhirup Banerjee, Vicente Grau:
Modeling 3D Cardiac Contraction and Relaxation With Point Cloud Deformation Networks. 4810-4819 - Ruiquan Ge, Zhaojie Fang, Pengxue Wei, Zhanghao Chen, Hongyang Jiang, Ahmed Elazab, Wangting Li, Xiang Wan, Shaochong Zhang, Changmiao Wang:
UWAFA-GAN: Ultra-Wide-Angle Fluorescein Angiography Transformation via Multi-Scale Generation and Registration Enhancement. 4820-4829 - Qinlan Xie, Yong Chen, Shenglin Liu, Xuesong Lu:
SSCFormer: Revisiting ConvNet-Transformer Hybrid Framework From Scale-Wise and Spatial-Channel-Aware Perspectives for Volumetric Medical Image Segmentation. 4830-4841 - Chang-Hoon Ji, Dong-Hee Shin, Young-Han Son, Tae-Eui Kam:
Sparse Graph Representation Learning Based on Reinforcement Learning for Personalized Mild Cognitive Impairment (MCI) Diagnosis. 4842-4853 - Qunxi Dong, Hongxin Cai, Zhigang Li, Jingyu Liu, Bin Hu:
A Multiview Brain Network Transformer Fusing Individualized Information for Autism Spectrum Disorder Diagnosis. 4854-4865 - Lei Zhao, Guanghua Tan, Qianghui Wu, Bin Pu, Hongliang Ren, Shengli Li, Kenli Li:
FARN: Fetal Anatomy Reasoning Network for Detection With Global Context Semantic and Local Topology Relationship. 4866-4877 - Hieu X. Nguyen, Duong V. Nguyen, Hieu H. Pham, Cuong D. Do:
MPCNN: A Novel Matrix Profile Approach for CNN-based Single Lead Sleep Apnea in Classification Problem. 4878-4890 - Lu Ling, Washim Uddin Mondal, Satish V. Ukkusuri:
Cooperating Graph Neural Networks With Deep Reinforcement Learning for Vaccine Prioritization. 4891-4902 - Ramzi Halabi, Christina Gonzalez-Torres, Stephane MacLean, M. Ishrat Husain, Abhishek Pratap, Martin Alda, Benoit H. Mulsant, Abigail Ortiz:
A Novel Unsupervised Machine Learning Approach to Assess Postural Dynamics in Euthymic Bipolar Disorder. 4903-4911 - Asim Hossain Gazi, Jesus Antonio Sanchez-Perez, Georgia L. Saks, Erick Andres Perez-Alday, Ammer Haffar, Hashir Ahmed, Duaa Herraka, Nitya Tarlapally, Nicholas L. Smith, J. Douglas Bremner, Amit J. Shah, Omer T. Inan, Viola Vaccarino:
Quantifying Posttraumatic Stress Disorder Symptoms During Traumatic Memories Using Interpretable Markers of Respiratory Variability. 4912-4924 - Zhenyu Liu, Yang Wu, Haibo Zhang, Gang Li, Zhijie Ding, Bin Hu:
Stimulus-Response Patterns: The Key to Giving Generalizability to Text-Based Depression Detection Models. 4925-4936 - Huamei Qi, Yuxuan Hu, Ruohao Fan, Lei Deng:
Tab-Cox: An Interpretable Deep Survival Analysis Model for Patients With Nasopharyngeal Carcinoma Based on TabNet. 4937-4950 - Farhad Javanmardi, Sudarsana Reddy Kadiri, Paavo Alku:
Exploring the Impact of Fine-Tuning the Wav2vec2 Model in Database-Independent Detection of Dysarthric Speech. 4951-4962 - Deepjyoti Kalita, Hrishita Sharma, Khalid B. Mirza:
Continuous Glucose, Insulin and Lifestyle Data Augmentation in Artificial Pancreas Using Adaptive Generative and Discriminative Models. 4963-4974 - Junkai Cheng, Yi-Jia Zhang, Hengyi Zhang, Shaoxiong Ji, Mingyu Lu:
TransFOL: A Logical Query Model for Complex Relational Reasoning in Drug-Drug Interaction. 4975-4985 - Hanjing Jiang, Mei-Neng Wang, Yu-An Huang, Yabing Huang:
Graph-Regularized Non-Negative Matrix Factorization for Single-Cell Clustering in scRNA-Seq Data. 4986-4994 - Junkai Wang, Lijun Quan, Zhi Jin, Hongjie Wu, Xuhao Ma, Xuejiao Wang, Jingxin Xie, Deng Pan, Taoning Chen, Tingfang Wu, Qiang Lyu:
MultiModRLBP: A Deep Learning Approach for Multi-Modal RNA-Small Molecule Ligand Binding Sites Prediction. 4995-5006 - Fei He, Kai Liu, Zhiyuan Yang, Yibo Chen, Richard D. Hammer, Dong Xu, Mihail Popescu:
pathCLIP: Detection of Genes and Gene Relations From Biological Pathway Figures Through Image-Text Contrastive Learning. 5007-5019
Volume 28, Number 9, September 2024
- Chi Lin, Chang Wu Yu, Ning Wang, Syed Hassan Ahmed:
Guest Editorial: Special Issue on Recent Technologies in IoT for E-Health Applications. 5023-5024 - Mikail Mohammed Salim, Laurence Tianruo Yang, Jong Hyuk Park:
Lightweight Authentication Scheme for IoT Based E-Healthcare Service Communication. 5025-5032 - Zheng Qu, Saru Kumari, Mohammad S. Obaidat, Bander A. Alzahrani, Hu Xiong:
Traceable Attribute-Based Encryption With Equality Test for Cloud Enabled E-Health System. 5033-5042 - Subramaniam Subramanian Murugesan, Sasidharan Velu, Muhammed Golec, Huaming Wu, Sukhpal Singh Gill:
Neural Networks Based Smart E-Health Application for the Prediction of Tuberculosis Using Serverless Computing. 5043-5054 - Wanyong Qiu, Yifan Feng, Yuying Li, Yi Chang, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller:
Fed-MStacking: Heterogeneous Federated Learning With Stacking Misaligned Labels for Abnormal Heart Sound Detection. 5055-5066 - Kelvin K. L. Wong, Wenjun Chris Zhang, Zhili Sun:
Guest Editorial: Special Issue on Smart Sensing for Cardiac Health Monitoring and Heart Attack Prevention and Patient Monitoring. 5067-5069 - Wan-Hua Lin, Dingchang Zheng, Guanglin Li, Fei Chen:
Age-Related Changes in Blood Volume Pulse Wave at Fingers and Ears. 5070-5080 - Huayu Li, Gregory Ditzler, Janet Roveda, Ao Li:
DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal. 5081-5091 - André G. C. Pacheco, Frank A. C. Cabello, Paula G. Rodrigues, Desiree C. Miraldo, Vanessa B. O. Fioravanti, Rafael G. De Lima, Paula R. Pinto, Adriana M. O. Fonoff, Otávio A. B. Penatti:
Learning to Estimate Heart Rate From Accelerometer and User's Demographics During Physical Exercises. 5092-5102 - Mingfeng Jiang, Feibiao Bian, Jucheng Zhang, Zhaoxia Pu, Huajun Li, Yuxuan Zhang, Yonghua Chu, Youqi Fan, Jun Jiang:
An Automatic Coronary Microvascular Dysfunction Classification Method Based on Hybrid ECG Features and Expert Features. 5103-5112 - Chengyao Tang, Tian Jin, Yongpeng Dai, Zhi Li:
3M: Measuring Vital Signs With Markov-Gauss Model. 5113-5123 - Yi-Chiao Wu, Chun-Hsien Lin, Li-Wen Chiu, Bing-Fei Wu, Meng-Liang Chung, Sung-Chun Tang, Yu Sun:
Contact-Free Atrial Fibrillation Screening With Attention Network. 5124-5135 - Zhaoyang Song, Defu Qiu, Xiaoqiang Zhao, Ruijuan Liu, Yongyong Hui, Hongmei Jiang:
Parallel Alternating Iterative Optimization for Cardiac Magnetic Resonance Image Blind Super-Resolution. 5136-5146 - Pierre G. Aublin, Jacques Felblinger, Julien Oster:
A Generalisable Heartbeat Classifier Leveraging Self-Supervised Learning for ECG Analysis During Magnetic Resonance Imaging. 5147-5155 - Haomeng Qiu, Zhitao Chen, Yan Chen, Chaojie Yang, Sihan Wu, Fanglin Li, Longhan Xie:
A Real-Time Hand Gesture Recognition System for Low-Latency HMI via Transient HD-SEMG and In-Sensor Computing. 5156-5167 - Mustufa Haider Abidi, Khaja Moiduddin, Rashid Ayub, Muneer Khan Mohammed, Achyut Shankar, Stavros Shiaeles:
EEGDepressionNet: A Novel Self Attention-Based Gated DenseNet With Hybrid Heuristic Adopted Mental Depression Detection Model Using EEG Signals. 5168-5179 - Noam Ben-Moshe, Kenta Tsutsui, Shany Biton Brimer, Eran Zvuloni, Leif Sörnmo, Joachim A. Behar:
RawECGNet: Deep Learning Generalization for Atrial Fibrillation Detection From the Raw ECG. 5180-5188 - Wei Zhou, Ning Shen, Ligang Zhou, Minghui Liu, Yiyuan Zhang, Cong Fu, Huan Yu, Feng Shu, Wei Chen, Chen Chen:
PSEENet: A Pseudo-Siamese Neural Network Incorporating Electroencephalography and Electrooculography Characteristics for Heterogeneous Sleep Staging. 5189-5200 - Ya Li, Runxi Tan, Tianxin Lin, Qing Liu, Chang-Dong Wang, Min Chen:
ER-GET: Emotion Recognition Based on Global ECG Trajectory. 5201-5213 - Jiancai Leng, Han Li, Weiyou Shi, Licai Gao, Chengyan Lv, Chen Wang, Fangzhou Xu, Yang Zhang, Tzyy-Ping Jung:
Time-Frequency-Space EEG Decoding Model Based on Dense Graph Convolutional Network for Stroke. 5214-5226 - Hao Tang, Songyun Xie, Xinzhou Xie, Yujie Cui, Bohan Li, Dalu Zheng, Yu Hao, Xiangming Wang, Yiye Jiang, Zhongyu Tian:
Multi-Domain Based Dynamic Graph Representation Learning for EEG Emotion Recognition. 5227-5238 - Ramin Fathian, Aminreza Khandan, Nasim Rahmanifar, Chester Ho, Hossein Rouhani:
Feasibility and Validity of Wearable Sensors for Monitoring Temporal Parameters in Manual Wheelchair Propulsion. 5239-5246 - Jian Shen, Kunlin Li, Huajian Liang, Zeguang Zhao, Yu Ma, Jinwen Wu, Jieshuo Zhang, Yanan Zhang, Bin Hu:
HEMAsNet: A Hemisphere Asymmetry Network Inspired by the Brain for Depression Recognition From Electroencephalogram Signals. 5247-5259 - Sangkyu Kim, Jiwoo Lim, Jaeseong Jang:
SeqAFNet: A Beat-Wise Sequential Neural Network for Atrial Fibrillation Classification in Adhesive Patch-Type Electrocardiographs. 5260-5269 - Zhian Liu, Lichengxi Si, Shaoxian Shi, Jing Li, Jing Zhu, Won Hee Lee, Sio-Long Lo, Xiangguo Yan, Badong Chen, Feng Fu, Yang Zheng, Gang Wang:
Classification of Three Anesthesia Stages Based on Near-Infrared Spectroscopy Signals. 5270-5279 - Zhenxing Huang, Wenbo Li, Yaping Wu, Lin Yang, Yun Dong, Yongfeng Yang, Hairong Zheng, Dong Liang, Meiyun Wang, Zhanli Hu:
Accurate Whole-Brain Image Enhancement for Low-Dose Integrated PET/MR Imaging Through Spatial Brain Transformation. 5280-5289 - Raktim Kumar Mondol, Ewan K. A. Millar, Arcot Sowmya, Erik Meijering:
BioFusionNet: Deep Learning-Based Survival Risk Stratification in ER+ Breast Cancer Through Multifeature and Multimodal Data Fusion. 5290-5302 - Francesco Pistolesi, Michele Baldassini, Beatrice Lazzerini:
A LiDAR-Based Recommendation System to Improve Sitting Posture Respecting Privacy. 5303-5311 - Nikos Tsiknakis, Georgios C. Manikis, Evangelos Tzoras, Dimitrios Salgkamis, Joan Martinez Vidal, Kang Wang, Dimitris Zaridis, Emmanouil G. Sifakis, Ioannis Zerdes, Jonas Bergh, Johan Hartman, Balazs Acs, Kostas Marias, Theodoros Foukakis:
Unveiling the Power of Model-Agnostic Multiscale Analysis for Enhancing Artificial Intelligence Models in Breast Cancer Histopathology Images. 5312-5322 - Irmak Sivgin, Hasan Atakan Bedel, Saban Öztürk, Tolga Çukur:
A Plug-In Graph Neural Network to Boost Temporal Sensitivity in fMRI Analysis. 5323-5334 - Juncong Xu, Cheng Song, Zijie Yue, Shuai Ding:
Facial Video-Based Non-Contact Stress Recognition Utilizing Multi-Task Learning With Peak Attention. 5335-5346 - Yishuo Zhang, Albert C. S. Chung:
Retinal Vessel Segmentation by a Transformer-U-Net Hybrid Model With Dual-Path Decoder. 5347-5359 - Wenchao Jiang, Tianchun Luo, Zhipeng Liang, Kang Chen, Ji He, Zhiming Zhao, Jianxuan Wen, Ling Zhao, Wei Song:
FBENet: Feature-Level Boosting Ensemble Network for Hashimoto's Thyroiditis Ultrasound Image Classification. 5360-5369 - Xuebin Sun, Yanwei Pang, Yiming Liu, Caifeng Shan, Shing Shin Cheng:
Multi-Modal Multi-Slice Cooperative Dual-Domain Cascaded De-Aliasing Network for MR Imaging Reconstruction. 5370-5382 - Ching-Hsun Tseng, Shao-Ju Chien, Po-Shen Wang, Shin-Jye Lee, Bin Pu, Xiao-Jun Zeng:
Real-Time Automatic M-Mode Echocardiography Measurement With Panel Attention. 5383-5395 - Dayu Tan, Rui Hao, Xiaoping Zhou, Junfeng Xia, Yansen Su, Chun-Hou Zheng:
A Novel Skip-Connection Strategy by Fusing Spatial and Channel Wise Features for Multi-Region Medical Image Segmentation. 5396-5409 - Huai Chen, Xiuying Wang, Hui Li, Lisheng Wang:
3D Vessel Segmentation With Limited Guidance of 2D Structure-Agnostic Vessel Annotations. 5410-5421 - Danyal F. Bhutto, Bo Zhu, Jeremiah Z. Liu, Neha Koonjoo, Hongwei Bran Li, Bruce R. Rosen, Matthew S. Rosen:
Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction Using the Local Lipschitz. 5422-5434 - Susu Kang, Yixiong Kang, Shan Tan:
Exploring and Exploiting Multi-Modality Uncertainty for Tumor Segmentation on PET/CT. 5435-5446 - Wenjie Zhao, Zhenxing Huang, Si Tang, Wenbo Li, Yunlong Gao, Yingying Hu, Wei Fan, Chuanli Cheng, Yongfeng Yang, Hairong Zheng, Dong Liang, Zhanli Hu:
MMCA-NET: A Multimodal Cross Attention Transformer Network for Nasopharyngeal Carcinoma Tumor Segmentation Based on a Total-Body PET/CT System. 5447-5458 - Li Wang, Lihui Wang, Zi-Xiang Kuai, Lei Tang, Yingfeng Ou, Min Wu, Tianliang Shi, Chen Ye, Yuemin Zhu:
Progressive Dual Priori Network for Generalized Breast Tumor Segmentation. 5459-5472 - Jiesi Hu, Yanwu Yang, Xutao Guo, Ting Ma, Jinghua Wang:
A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation. 5473-5486 - Jing Liu, Coskun Bilgi, Alda Bregasi, Gary F. Mitchell, Niema M. Pahlevan:
Noninvasive Left Ventricle Pressure-Volume Loop Determination Method With Cardiac Magnetic Resonance Imaging and Carotid Tonometry Using a Physics-Informed Approach. 5487-5496 - Ziyang Chen, Yongsheng Pan, Yiwen Ye, Zhiyong Wang, Yong Xia:
TriLA: Triple-Level Alignment Based Unsupervised Domain Adaptation for Joint Segmentation of Optic Disc and Optic Cup. 5497-5508 - Liangliang Liu, Jinpu Xie, Jing Chang, Zhihong Liu, Tong Sun, Hongbo Qiao, Gongbo Liang, Wei Guo:
H-Net: Heterogeneous Neural Network for Multi-Classification of Neuropsychiatric Disorders. 5509-5518 - Rudy Gunawan, Yvonne Tran, Jinchuan Zheng, Hung T. Nguyen, Ann J. Carrigan, Megan Mills, Rifai Chai:
Combining Multistaged Filters and Modified Segmentation Network for Improving Lung Nodules Classification. 5519-5527 - Ning Jiang, Gongshu Wang, Chuyang Ye, Tiantian Liu, Tianyi Yan:
Multi-Task Collaborative Pre-Training and Adaptive Token Selection: A Unified Framework for Brain Representation Learning. 5528-5539 - Matthew Lee, Ricardo Sanchez-Matilla, Danail Stoyanov, Imanol Luengo:
DIPO: Differentiable Parallel Operation Blocks for Surgical Neural Architecture Search. 5540-5550 - Fei Huang, Anqi Qiu:
Ensemble Vision Transformer for Dementia Diagnosis. 5551-5561 - Bilel Guetarni, Féryal Windal, Halim Benhabiles, Marianne Petit, Romain Dubois, Emmanuelle Leteurtre, Dominique Collard:
A Vision Transformer-Based Framework for Knowledge Transfer From Multi-Modal to Mono-Modal Lymphoma Subtyping Models. 5562-5572 - Sohaib Asif, Ming Zhao, Yangfan Li, Fengxiao Tang, Yusen Zhu:
CFI-Net: A Choquet Fuzzy Integral Based Ensemble Network With PSO-Optimized Fuzzy Measures for Diagnosing Multiple Skin Diseases Including Mpox. 5573-5586 - Shaodong Wang, Yiqun Jiang, Qing Li, Wenli Zhang:
Timely ICU Outcome Prediction Utilizing Stochastic Signal Analysis and Machine Learning Techniques with Readily Available Vital Sign Data. 5587-5599 - Liming Xu, Quan Tang, Bochuan Zheng, Jiancheng Lv, Weisheng Li, Xianhua Zeng:
CGFTrans: Cross-Modal Global Feature Fusion Transformer for Medical Report Generation. 5600-5612 - Shuo Gao, Jianan Chen, Xuhang Chen, Julie Uchitel, Chenyu Tang, Cong Li, Yu Pan, Hubin Zhao:
Temporal Dynamics and Physical Priori Multimodal Network for Rehabilitation Physical Training Evaluation. 5613-5623 - Wenhao Wu, Shudong Wang, Yuanyuan Zhang, Wenjing Yin, Yawu Zhao, Shanchen Pang:
MOSGAT: Uniting Specificity-Aware GATs and Cross Modal-Attention to Integrate Multi-Omics Data for Disease Diagnosis. 5624-5637 - Qi Zhong, Junliang Shang, Qianqian Ren, Feng Li, Cui-Na Jiao, Jin-Xing Liu:
FSCME: A Feature Selection Method Combining Copula Correlation and Maximal Information Coefficient by Entropy Weights. 5638-5648 - Zixu Ran, Cong Wang, Heyun Sun, Shirui Pan, Fuyi Li:
Characterizing Secretion System Effector Proteins With Structure-Aware Graph Neural Networks and Pre-Trained Language Models. 5649-5657
Volume 28, Number 10, October 2024
- Aceng Sambas, Sundarapandian Vaidyanathan, Azwa Abdul Aziz:
Guest Editorial Machine Learning Technology for Biomedical Signal Processing. 5661-5666 - Sazid Hasan, Ali Zamani, Aida Brankovic, Konstanty S. Bialkowski, Amin M. Abbosh:
Stroke Classification With Microwave Signals Using Explainable Wavelet Convolutional Neural Network. 5667-5675 - Pradeep Kumar Das, Abinash Dash, Sukadev Meher:
ACDSSNet: Atrous Convolution-Based Deep Semantic Segmentation Network for Efficient Detection of Sickle Cell Anemia. 5676-5684 - Md. Shibly Sadique, Walia Farzana, Ahmed G. Temtam, E. Lappinen, Arastoo Vossough, Khan M. Iftekharuddin:
Brain Tumor Recurrence vs. Radiation Necrosis Classification and Patient Survivability Prediction. 5685-5695 - Milad Esmaeil-Zadeh, Morteza Fattahi, Mohammad Soltani-Gol, Reza Rostami, Hamid Soltanian-Zadeh:
Effective Connectivity Estimation by a Hybrid Neural Network, Empirical Wavelet Transform, and Bayesian Optimization. 5696-5707 - Farnaz Rahimi, Mohammad Ali Badamchizadeh, Sehraneh Ghaemi, Alessandro Del Vecchio:
Simultaneous Estimation of Digit Tip Forces and Hand Postures in a Simulated Real-Life Condition With High-Density Electromyography and Deep Learning. 5708-5717 - Jeong-Hyeon Moon, Garam Lee, Seung Mi Lee, Jiho Ryu, Dokyoon Kim, Kyung-Ah Sohn:
Frequency Domain Deep Learning With Non-Invasive Features for Intraoperative Hypotension Prediction. 5718-5728 - Jingxue Huang, Xiaosong Li, Haishu Tan, Xiaoqi Cheng:
Generative Adversarial Network for Trimodal Medical Image Fusion Using Primitive Relationship Reasoning. 5729-5741 - Ijaz Ahmad, Zhenzhen Liu, Lin Li, Inam Ullah, Sunday Timothy Aboyeji, Xin Wang, Oluwarotimi Williams Samuel, Guanglin Li, Yuan Tao, Yan Chen, Shixiong Chen:
Robust Epileptic Seizure Detection Based on Biomedical Signals Using an Advanced Multi-View Deep Feature Learning Approach. 5742-5754 - Chao Li, Feng Wang, Ziping Zhao, Haishuai Wang, Björn W. Schuller:
Attention-Based Temporal Graph Representation Learning for EEG-Based Emotion Recognition. 5755-5767 - Ana Cisnal, Yanke Li, Bertram Fuchs, Mehdi Ejtehadi, Robert Riener, Diego Paez-Granados:
Robust Feature Selection for BP Estimation in Multiple Populations: Towards Cuffless Ambulatory BP Monitoring. 5768-5779 - Yinzhe Wu, Sharon Jewell, Xiaodan Xing, Yang Nan, Anthony J. Strong, Guang Yang, Martyn G. Boutelle:
Real-Time Non-Invasive Imaging and Detection of Spreading Depolarizations through EEG: An Ultra-Light Explainable Deep Learning Approach. 5780-5791 - Wei Zhou, Jianhang Ji, Wei Cui, Yingyuan Wang, Yugen Yi:
Unsupervised Domain Adaptation Fundus Image Segmentation via Multi-Scale Adaptive Adversarial Learning. 5792-5803 - Kristian P. Lorenzen, Elisabeth R. M. Heremans, Maarten De Vos, Kaare B. Mikkelsen:
Personalization of Automatic Sleep Scoring: How Best to Adapt Models to Personal Domains in Wearable EEG. 5804-5815 - Chunzhuo Wang, Talluri Sunil Kumar, Walter De Raedt, Guido Camps, Hans Hallez, Bart Vanrumste:
Eating Speed Measurement Using Wrist-Worn IMU Sensors Towards Free-Living Environments. 5816-5828 - Yuhui Cen, Jingchun Luo, Hongbo Wang, Li Chen, Xing Zhu, Shijie Guo, Jingjing Luo:
OVAR-BPnet: A General Pulse Wave Deep Learning Approach for Cuffless Blood Pressure Measurement. 5829-5841 - Shiva Maleki Varnosfaderani, Ian McNulty, Nabil J. Sarhan, Waleed Abood, Mohammad Alhawari:
An Efficient Epilepsy Prediction Model on European Dataset With Model Evaluation Considering Seizure Types. 5842-5854 - Zhiyuan Lou, Xue Min, Guanhan Li, James Avery, Rebecca Stewart:
Advancing Sensing Resolution of Impedance Hand Gesture Recognition Devices. 5855-5864 - Baole Fu, Wenhao Chu, Chunrui Gu, Yinhua Liu:
Cross-Modal Guiding Neural Network for Multimodal Emotion Recognition From EEG and Eye Movement Signals. 5865-5876 - Kleanthis Avramidis, Dominika Kunc, Bartosz Perz, Kranti Adsul, Tiantian Feng, Przemyslaw Kazienko, Stanislaw Saganowski, Shrikanth Narayanan:
Scaling Representation Learning From Ubiquitous ECG With State-Space Models. 5877-5889 - Linlin Gong, Wanzhong Chen, Dingguo Zhang:
An Attention-Based Multi-Domain Bi-Hemisphere Discrepancy Feature Fusion Model for EEG Emotion Recognition. 5890-5903 - Qunli Yao, Heng Gu, Shaodi Wang, Xiaoli Li:
Spatial-Frequency Characteristics of EEG Associated With the Mental Stress in Human-Machine Systems. 5904-5916 - Hongxiang Gao, Xingyao Wang, Zhenghua Chen, Min Wu, Zhipeng Cai, Lulu Zhao, Jianqing Li, Chengyu Liu:
Graph Convolutional Network With Connectivity Uncertainty for EEG-Based Emotion Recognition. 5917-5928 - Wei Wang, Yinghu Peng, Yilun Sun, Jun Wang, Guanglin Li:
Towards Wearable and Portable Spine Motion Analysis Through Dynamic Optimization of Smartphone Videos and IMU Data. 5929-5940 - Andreas Tzavelis, John Palla, Radhika Mathur, Brittany Bedford, Yung-Hsuan Wu, Jacob Trueb, Hee-Sup Shin, Hany M. Arafa, Hyoyoung Jeong, Wei Ouyang, Jay Young Kwak, Jennifer Chiang, Sydney Schulz, Tina M. Carter, Vittobai Rangaraj, Aggelos K. Katsaggelos, Susanna A. McColley, John A. Rogers:
Development of a Miniaturized Mechanoacoustic Sensor for Continuous, Objective Cough Detection, Characterization and Physiologic Monitoring in Children With Cystic Fibrosis. 5941-5952 - Wei Xu, Jiabei Tang, Hongzhi Qi:
Using the Cocktail Party Effect to Add the Coding Dimension of Auditory Event Related Potential Brain-Computer Interface. 5953-5961 - Yujiao Zhang, Pan Lin, Ruimin Wang, Jiang Zhou, Xiaoquan Xu, Wenhao Jiang, Xiongying Pu, Sheng Ge:
Insula-Medial Prefrontal Cortex Functional Connectivity Modulated by Transcutaneous Auricular Vagus Nerve Stimulation: An fMRI Study. 5962-5970 - Chen Pang, Xuequan Lu, Xiang Liu, Renfeng Zhang, Lei Lyu:
IIAM: Intra and Inter Attention With Mutual Consistency Learning Network for Medical Image Segmentation. 5971-5983 - Jianfei Zhu, Baichun Wei, Jiaru Tian, Feng Jiang, Chunzhi Yi:
An Adaptively Weighted Averaging Method for Regional Time Series Extraction of fMRI-Based Brain Decoding. 5984-5995 - Zhu Meng, Junhao Dong, Binyu Zhang, Shichao Li, Ruixiao Wu, Fei Su, Guangxi Wang, Limei Guo, Zhicheng Zhao:
NuSEA: Nuclei Segmentation With Ellipse Annotations. 5996-6007 - Rongtao Xu, Changwei Wang, Jiguang Zhang, Shibiao Xu, Weiliang Meng, Xiaopeng Zhang:
SkinFormer: Learning Statistical Texture Representation With Transformer for Skin Lesion Segmentation. 6008-6018 - Xiaoxiao Li, Zhengxiong Li, Taobo Hu, Mengping Long, Xiao Ma, Jin Huang, Yiqiang Liu, Yaxiaer Yalikun, Sheng Liu, Du Wang, Jianghua Wu, Liye Mei, Cheng Lei:
MSGM: An Advanced Deep Multi-Size Guiding Matching Network for Whole Slide Histopathology Images Addressing Staining Variation and Low Visibility Challenges. 6019-6030 - Yunbo Gu, Qianyu Wu, Hui Tang, Xiaoli Mai, Huazhong Shu, Baosheng Li, Yang Chen:
LeSAM: Adapt Segment Anything Model for Medical Lesion Segmentation. 6031-6041 - Wenhao Xu, Rongtao Xu, Changwei Wang, Xiuli Li, Shibiao Xu, Li Guo:
PSTNet: Enhanced Polyp Segmentation With Multi-Scale Alignment and Frequency Domain Integration. 6042-6053 - Jixiang Li, Jianxin Peng:
End-to-End Multimodal Emotion Recognition Based on Facial Expressions and Remote Photoplethysmography Signals. 6054-6063 - Tao Han, Danni Ai, Jingfan Fan, Hong Song, Deqiang Xiao, Yining Wang, Jian Yang:
Cross-Anatomy Transfer Learning via Shape-Aware Adaptive Fine-Tuning for 3D Vessel Segmentation. 6064-6077 - Qi He, Guang Feng, Sophia Bano, Danail Stoyanov, Siyang Zuo:
MonoLoT: Self-Supervised Monocular Depth Estimation in Low-Texture Scenes for Automatic Robotic Endoscopy. 6078-6091 - Rui Liu, Wei Dai, Cong Wu, Tianyi Wu, Min Wang, Junxian Zhou, Xiaozhen Zhang, Wen Jung Li, Jun Liu:
Deep Learning-Based Microscopic Cell Detection Using Inverse Distance Transform and Auxiliary Counting. 6092-6104 - Yuhuan Lu, Guanghua Tan, Bin Pu, Hang Wang, Bocheng Liang, Kenli Li, Jagath C. Rajapakse:
SKGC: A General Semantic-Level Knowledge Guided Classification Framework for Fetal Congenital Heart Disease. 6105-6116 - Xiaoyu Bai, Geng Chen, Benteng Ma, Changyang Li, Jingfeng Zhang, Yong Xia:
Exploratory Training for Universal Lesion Detection: Enhancing Lesion Mining Quality Through Temporal Verification. 6117-6129 - Xuyun Wen, Qumei Cao, Yunxi Zhao, Xia Wu, Daoqiang Zhang:
D-MHGCN: An End-to-End Individual Behavioral Prediction Model Using Dual Multi-Hop Graph Convolutional Network. 6130-6140 - Lian Yan, Yi Guan, Haotian Wang, Yi Lin, Yang Yang, Boran Wang, Jingchi Jiang:
EIRAD: An Evidence-Based Dialogue System With Highly Interpretable Reasoning Path for Automatic Diagnosis. 6141-6154 - Mantas Rinkevicius, Jesús Lázaro, Eduardo Gil, Pablo Laguna, Peter H. Charlton, Raquel Bailón, Vaidotas Marozas:
Obstructive Sleep Apnea Characterization: A Multimodal Cross-Recurrence-Based Approach for Investigating Atrial Fibrillation. 6155-6167 - Mustafa Shuqair, Joohi Jimenez-Shahed, Behnaz Ghoraani:
Reinforcement Learning-Based Adaptive Classification for Medication State Monitoring in Parkinson's Disease. 6168-6179 - Sangjoon Park, Ik-Jae Lee, Jun Won Kim, Jong Chul Ye:
MS-DINO: Masked Self-Supervised Distributed Learning Using Vision Transformer. 6180-6192 - Iara B. Santelices, Cederick Landry, Arash Arami, Sean D. Peterson:
Employing Deep Reinforcement Learning to Maximize Lower Limb Blood Flow Using Intermittent Pneumatic Compression. 6193-6200 - Xin Zou, Xiao He, Xiao Zheng, Wei Zhang, Jiajia Chen, Chang Tang:
DAI-Net: Dual Adaptive Interaction Network for Coordinated Medication Recommendation. 6201-6211 - Chuanze Kang, Han Zhang, Yanbin Yin:
A Dual-Modality Complex-Valued Fusion Method for Predicting Side Effects of Drug-Drug Interactions Based on Graph Neural Network. 6212-6224 - Lei Li, Haitao Li, Tseren-Onolt Ishdorj, Chun-Hou Zheng, Yansen Su:
MDNNSyn: A Multi-Modal Deep Learning Framework for Drug Synergy Prediction. 6225-6236 - Changli Feng, Haiyan Wei, Chugui Xu, Bin Feng, Xiaorong Zhu, Jing Liu, Quan Zou:
iProps: A Comprehensive Software Tool for Protein Classification and Analysis With Automatic Machine Learning Capabilities and Model Interpretation Capabilities. 6237-6247 - Xiaowen Hu, Pan Zhang, Jiaxuan Zhang, Lei Deng:
DeepFusionCDR: Employing Multi-Omics Integration and Molecule-Specific Transformers for Enhanced Prediction of Cancer Drug Responses. 6248-6258 - Shuang Wang, Jin-Xing Liu, Feng Li, Juan Wang, Ying-Lian Gao:
M3HOGAT: A Multi-View Multi-Modal Multi-Scale High-Order Graph Attention Network for Microbe-Disease Association Prediction. 6259-6267 - Ali Shirali, Alexander Schubert, Ahmed Alaa:
Pruning the Way to Reliable Policies: A Multi-Objective Deep Q-Learning Approach to Critical Care. 6268-6279 - Lorena Pujante-Otalora, Manuel Campos, Jose M. Juarez, Bernardo Cánovas-Segura:
Spatiotemporal Data Modelling for Epidemiological Research in Hospitals. 6280-6291
Volume 28, Number 11, November 2024
- Weizheng Wang, Zhuotao Lian, Kapal Dev, Shan Jiang:
Guest Editorial: Metaverse for Healthcare Trends, Challenges, and Solutions. 6296-6297 - Guowei Fang, Yi Sun, Mutiq Almutiq, Wei Zhou, Yekang Zhao, Yongjun Ren:
Distributed Medical Data Storage Mechanism Based on Proof of Retrievability and Vector Commitment for Metaverse Services. 6298-6307 - Xiaotong Wu, Yihong Yang, Muhammad Bilal, Lianyong Qi, Xiaolong Xu:
6G-Enabled Anomaly Detection for Metaverse Healthcare Analytics in Internet of Things. 6308-6317 - Shizhuo Deng, Jiaqi Chen, Da Teng, Chuangui Yang, Dongyue Chen, Tong Jia, Hao Wang:
LHAR: Lightweight Human Activity Recognition on Knowledge Distillation. 6318-6328 - Huakun Huang, Chaoran Zhang, Lingjun Zhao, Shuxue Ding, Hanpin Wang, Huijun Wu:
Self-Supervised Medical Image Denoising Based on WISTA-Net for Human Healthcare in Metaverse. 6329-6337 - Liang Wang, Wei Su, Fei Song, Ilsun You:
Integrating Smart Computility for Subflow Orchestration in Remote Virtual Services. 6338-6347 - Hai Liu, Dequan Xu, Youliang Tian, Changgen Peng, Zhenqiang Wu, Ziyue Wang:
Wasserstein Generative Adversarial Networks Based Differential Privacy Metaverse Data Sharing. 6348-6359 - Baoru Han, Han Wang, Dawei Qiao, Jia Xu, Tianyu Yan:
Application of Zero-Watermarking Scheme Based on Swin Transformer for Securing the Metaverse Healthcare Data. 6360-6369 - Luyang Luo, Daguang Xu, Jing Qin, Yueming Jin, Hao Chen:
Guest Editorial: Trustworthy Machine Learning for Health Informatics. 6370-6372 - Guanghui Yue, Peishan Wei, Tianwei Zhou, Youyi Song, Cheng Zhao, Tianfu Wang, Baiying Lei:
Specificity-Aware Federated Learning With Dynamic Feature Fusion Network for Imbalanced Medical Image Classification. 6373-6383 - Yunlu Yan, Hong Wang, Yawen Huang, Nanjun He, Lei Zhu, Yong Xu, Yuexiang Li, Yefeng Zheng:
Cross-Modal Vertical Federated Learning for MRI Reconstruction. 6384-6394 - Peilun Song, Xiuxia Yuan, Xue Li, Xueqin Song, Yaping Wang:
Multi-Loss Disentangled Generative-Discriminative Learning for Multimodal Representation in Schizophrenia. 6395-6404 - Qing Wang, Xinghong Chen, Weiping Liu, Guannan Chen, Harry Qin:
SFWN: A Novel Semi-Supervised Feature Weighted Neural Network for Gene Data Feature Learning and Mining With Graph Modeling. 6405-6416 - Tong Xia, Ting Dang, Jing Han, Lorena Qendro, Cecilia Mascolo:
Uncertainty-Aware Health Diagnostics via Class-Balanced Evidential Deep Learning. 6417-6428 - Chenhui Wang, Yiming Lei, Tao Chen, Junping Zhang, Yuxin Li, Hongming Shan:
HOPE: Hybrid-Granularity Ordinal Prototype Learning for Progression Prediction of Mild Cognitive Impairment. 6429-6440 - Jinxin Zhang, Wei Li, Mingfeng Ge, Ruoqian Gao, Wenfei Dong:
Locality Cross-domain Discriminant Analysis for Membranous Nephropathy Recognition Using Microscopic Hyperspectral Imaging. 6441-6453 - Katarzyna Kobylinska, Mateusz Krzyzinski, Rafal Machowicz, Mariusz Adamek, Przemyslaw Biecek:
Exploration of the Rashomon Set Assists Trustworthy Explanations for Medical Data. 6454-6465 - Ahmed M. A. Salih, Ilaria Boscolo Galazzo, Zahra Raisi-Estabragh, Steffen E. Petersen, Gloria Menegaz, Petia Radeva:
Characterizing the Contribution of Dependent Features in XAI Methods. 6466-6473 - Jinpeng Lyu, Yuankui Yang, Yuan Zong, Yue Leng, Wenming Zheng, Sheng Ge:
Novel Sinusoidal Signal Assisted Multivariate Variational Mode Decomposition Combined With Task-Related Component Analysis for Enhancing SSVEP-Based BCI Performance. 6474-6485 - Zanhao Fu, Huaiyu Zhu, Yisheng Zhao, Ruohong Huan, Yi Zhang, Shuohui Chen, Yun Pan:
GMAEEG: A Self-Supervised Graph Masked Autoencoder for EEG Representation Learning. 6486-6497 - Hong Zeng, Yue Zhao, Fabio Babiloni, Ming Tao, Wanzeng Kong, Guojun Dai:
A General DNA-Like Hybrid Symbiosis Framework: An EEG Cognitive Recognition Method. 6498-6511 - Kezhe Zhu, Dongxuan Li, Jinxuan Li, Peter B. Shull:
Real-Time IMU-Based Kinematics in the Presence of Wireless Data Drop. 6512-6524 - Ruijing Wang, Sagar Chakravarthy Mathada Veera, Onur Asan, Ting Liao:
A Systematic Review on the Use of Consumer-Based ECG Wearables on Cardiac Health Monitoring. 6525-6537 - Pedro Matias, Ricardo Araújo, Ricardo Graça, Ana Rita Henriques, David Belo, Maria Valada, Nasim Nakhost Lotfi, Elsa Frazão Mateus, Helga Radner, Ana Maria Rodrigues, Paul Studenic, Francisco Nunes:
COTIDIANA Dataset - Smartphone-Collected Data on the Mobility, Finger Dexterity, and Mental Health of People With Rheumatic and Musculoskeletal Diseases. 6538-6547 - Mingyu Du, Bowen Lv, Bingfei Fan, Xiaoling Li, Junze Yu, Fugang Yi, Tao Liu, Shibo Cai:
Ankle Moment Estimation Based on A Novel Distributed Plantar Pressure Sensing System. 6548-6556 - Xiaoshuang Wang, Ziheng Gao, Meiyan Zhang, Ying Wang, Lin Yang, Jianwen Lin, Tommi Kärkkäinen, Fengyu Cong:
Combination of Channel Reordering Strategy and Dual CNN-LSTM for Epileptic Seizure Prediction Using Three iEEG Datasets. 6557-6567 - Zequan Lian, Tao Xu, Zhen Yuan, Junhua Li, Nitish V. Thakor, Hongtao Wang:
Driving Fatigue Detection Based on Hybrid Electroencephalography and Eye Tracking. 6568-6580 - Jiawei Liu, Ruimin Wang, Yuankui Yang, Yuan Zong, Yue Leng, Wenming Zheng, Sheng Ge:
Convolutional Transformer-Based Cross Subject Model for SSVEP-Based BCI Classification. 6581-6593 - Miguel Matey-Sanz, Alberto González-Pérez, Sven Casteleyn, Carlos Granell:
Implementing and Evaluating the Timed Up and Go Test Automation Using Smartphones and Smartwatches. 6594-6605 - Guoxin Wang, Shreejith Shanker, Avishek Nag, Yong Lian, Deepu John:
ECG Biometric Authentication Using Self-Supervised Learning for IoT Edge Sensors. 6606-6618 - Ann-Kristin Seifer, Arne Küderle, Eva Dorschky, Hamid Moradi, Ronny Hannemann, Bjoern M. Eskofier:
Step Length and Gait Speed Estimation Using a Hearing Aid Integrated Accelerometer: A Comparison of Different Algorithms. 6619-6628 - Peiwen Fu, Wenjuan Zhong, Yuyang Zhang, Wenxuan Xiong, Yuzhou Lin, Yanlong Tai, Lin Meng, Mingming Zhang:
Predicting Continuous Locomotion Modes via Multidimensional Feature Learning From sEMG. 6629-6640 - Jiameng Bao, Guangming Wang, Tianyu Wang, Ning Wu, Shimin Hu, Won Hee Lee, Sio-Long Lo, Xiangguo Yan, Yang Zheng, Gang Wang:
A Feature Fusion Model Based on Temporal Convolutional Network for Automatic Sleep Staging Using Single-Channel EEG. 6641-6652 - Mahsa Alidadi, Maryam Mohebbi, Mohamad Forouzanfar:
Blood Pressure Estimation Based on the Timing of the Arterial Reflected Waves by Oscillometric Pulse Wave Decomposition. 6653-6660 - Xuan Wang, Lisha Yu, Hailiang Wang, Kwok Leung Tsui, Yang Zhao:
Sensor-Based Multifaceted Feature Extraction and Ensemble Elastic Net Approach for Assessing Fall Risk in Community-Dwelling Older Adults. 6661-6673 - Jlenia Toppi, Ilaria Quattrociocchi, Angela Riccio, Mariagrazia D'Ippolito, Marta Aloisi, Emma Colamarino, Floriana Pichiorri, Febo Cincotti, Rita Formisano, Donatella Mattia:
EEG-Derived Markers to Improve Prognostic Evaluation of Disorders of Consciousness. 6674-6684 - Yunbo Tang, Weirong Huang, Rongchang Liu, Yuanlong Yu:
Learning Interpretable Brain Functional Connectivity via Self-Supervised Triplet Network With Depth-Wise Attention. 6685-6698 - Ryan A. L. Schoop, Lotte M. de Roode, Lisanne L. de Boer, Behdad Dashtbozorg:
Framework for Deep Learning Based Multi-Modality Image Registration of Snapshot and Pathology Images. 6699-6711 - Tianxiao Cai, Xiang Li, Chenglan Zhong, Wei Tang, Jixiang Guo:
DiffMAR: A Generalized Diffusion Model for Metal Artifact Reduction in CT Images. 6712-6724 - Yunlong Qiu, Haifeng Zhang, Chonghui Song, Xiaolong Zhao, Hao Li, Xianbo Wang:
GKE-TUNet: Geometry-Knowledge Embedded TransUNet Model for Retinal Vessel Segmentation Considering Anatomical Topology. 6725-6737 - Zhiyu Wang, Chuchu Liao, Liping Pan, Hongzhou Lu, Caifeng Shan, Wenjin Wang:
Living-Skin Detection Based on Spatio-Temporal Analysis of Structured Light Pattern. 6738-6750 - Xuanmin Chen, Liyan Ma, Shihui Ying, Dinggang Shen, Tieyong Zeng:
FEFA: Frequency Enhanced Multi-Modal MRI Reconstruction With Deep Feature Alignment. 6751-6763 - Michela Gravina, Massimo Maddaluno, Stefano Marrone, Mario Sansone, Roberta Fusco, Vincenza Granata, Antonella Petrillo, Carlo Sansone:
A Physiological-Informed Generative Model for Improving Breast Lesion Classification in Small DCE-MRI Datasets. 6764-6777 - Zhongzhou Zhang, Hui Yu, Zhongxian Wang, Zhiwen Wang, Jingfeng Lu, Yan Liu, Yi Zhang:
Gradient-Guided Network With Fourier Enhancement for Glioma Segmentation in Multimodal 3D MRI. 6778-6790 - Boah Kim, Tejas Sudharshan Mathai, Kimberly Helm, Peter A. Pinto, Ronald M. Summers:
Classification of Multi-Parametric Body MRI Series Using Deep Learning. 6791-6802 - Zheng Li, Jinhui Zhang, Siyi Wei, Yueyang Gao, Chengwei Cao, Zhiwei Wu:
TPAFNet: Transformer-Driven Pyramid Attention Fusion Network for 3D Medical Image Segmentation. 6803-6814 - Dayang Wang, Shuo Han, Yongshun Xu, Zhan Wu, Li Zhou, Bahareh Morovati, Hengyong Yu:
LoMAE: Simple Streamlined Low-Level Masked Autoencoders for Robust, Generalized, and Interpretable Low-Dose CT Denoising. 6815-6827 - Rahimi Zahari, Julie Cox, Boguslaw Obara:
Mitigating Diagnostic Errors in Lung Cancer Classification: A Multi-Eyes Principle to Uncertainty Quantification. 6828-6839 - Yi Zhang, Bolun Zeng, Jia Li, Yuanyi Zheng, Xiaojun Chen:
A Multi-Task Transformer With Local-Global Feature Interaction and Multiple Tumoral Region Guidance for Breast Cancer Diagnosis. 6840-6853 - Gai Li, Chunhong Cao, Huawei Fu, Xingxing Li, Xieping Gao:
Modeling Functional Brain Networks for ADHD via Spatial Preservation-Based Neural Architecture Search. 6854-6864 - Mingzhe Jiang, Yufei Li, Jiangshan He, Yuqiang Yang, Hui Xie, Xueli Chen:
Physiological Time-Series Fusion With Hybrid Attention for Adaptive Recognition of Pain. 6865-6873 - David Susic, Anton Gradisek, Matjaz Gams:
PCGmix: A Data-Augmentation Method for Heart-Sound Classification. 6874-6885 - Yashar Kiarashi, Pradyumna B. Suresha, Ali Bahrami Rad, Matthew A. Reyna, Conor Anderson, Jenny Foster, Johanna Lantz, Tania Villavicencio, Theresa Hamlin, Gari D. Clifford:
Off-Body Sleep Analysis for Predicting Adverse Behavior in Individuals With Autism Spectrum Disorder. 6886-6896 - Huiwei Zhou, Lanlan Wang, Weihong Yao, Wenchu Li, Hao Zhou, Hongyun Zeng:
Generating Biomedical Hypothesis With Spatiotemporal Transformers. 6897-6905 - Claudio Crema, Federico Verde, Pietro Tiraboschi, Camillo Marra, Andrea Arighi, Silvia Fostinelli, Guido Maria Giuffrè, Vera Pacoova Dal Maschio, Federica L'Abbate, Federica Solca, Barbara Poletti, Vincenzo Silani, Emanuela Rotondo, Vittoria Borracci, Roberto Vimercati, Valeria Crepaldi, Emanuela Inguscio, Massimo Filippi, Francesca Caso, Alessandra Maria Rosati, Davide Quaranta, Giuliano Binetti, Ilaria Pagnoni, Manuela Morreale, Francesca Burgio, Michelangelo Stanzani-Maserati, Sabina Capellari, Matteo Pardini, Nicola Girtler, Federica Piras, Fabrizio Piras, Stefania Lalli, Elena Perdixi, Gemma Lombardi, Sonia Di Tella, Alfredo Costa, Marco Capelli, Cira Fundarò, Marina Manera, Cristina Muscio, Elisa Pellencin, Raffaele Lodi, Fabrizio Tagliavini, Alberto Redolfi:
Medical Information Extraction With NLP-Powered QABots: A Real-World Scenario. 6906-6917 - Hsinhan Tsai, Ta-Wei Yang, Kai-Hao Ou, Tung-Hung Su, Che Lin, Cheng-Fu Chou:
Multimodal Attention Network for Dementia Prediction. 6918-6930 - Kuba Weimann, Tim O. F. Conrad:
Federated Learning With Deep Neural Networks: A Privacy-Preserving Approach to Enhanced ECG Classification. 6931-6943 - Sara Campanella, Giovanni Paragliola, Valentino Cherubini, Paola Pierleoni, Lorenzo Palma:
Towards Personalized AI-Based Diabetes Therapy: A Review. 6944-6957 - Saeed Shurrab, Alejandro Guerra-Manzanares, Amani Magid, Bartlomiej Piechowski-Jozwiak, Seyed Farokh Atashzar, Farah E. Shamout:
Multimodal Machine Learning for Stroke Prognosis and Diagnosis: A Systematic Review. 6958-6973 - Prem Singh Bist, Hilal Tayara, Kil To Chong:
Generative AI in the Advancement of Viral Therapeutics for Predicting and Targeting Immune-Evasive SARS-CoV-2 Mutations. 6974-6982 - Hong Liang, Haoran Luo, Zhiling Sang, Miao Jia, Xiaohan Jiang, Zheng Wang, Shan Cong, Xiaohui Yao:
GREMI: An Explainable Multi-Omics Integration Framework for Enhanced Disease Prediction and Module Identification. 6983-6996 - Peng Xu, Zhitao Wei, Chuchu Li, Jiaqi Yuan, Zaiyi Liu, Wenbin Liu:
Drug-Target Prediction Based on Dynamic Heterogeneous Graph Convolutional Network. 6997-7005 - Junliang Shang, Linqian Zhao, Xin He, Xianghan Meng, Limin Zhang, Daohui Ge, Feng Li, Jin-Xing Liu:
SGFCCDA: Scale Graph Convolutional Networks and Feature Convolution for circRNA-Disease Association Prediction. 7006-7014 - Qiaoming Liu, Dandan Zhang, Dong Wang, Guohua Wang, Yadong Wang:
Automatically Detecting Anchor Cells and Clustering for scRNA-Seq Data Using scTSNN. 7015-7027
Volume 28, Number 12, December 2024
- Tao Wang, Yufeng Ke, Yichao Huang, Feng He, Wenxiao Zhong, Shuang Liu, Dong Ming:
Using Semi-Supervised Domain Adaptation to Enhance EEG-Based Cross-Task Mental Workload Classification Performance. 7032-7039 - Shreyam Mishra, Debasish Chatterjee, Neeta Kanekar:
Topological Gait Analysis: A New Framework and Its Application to the Study of Human Gait. 7040-7053 - Yiwen Dong, Sung Eun Kim, Kornel Schadl, Peide Huang, Wenhao Ding, Jessica Rose, Hae Young Noh:
In-Home Gait Abnormality Detection Through Footstep-Induced Floor Vibration Sensing and Person-Invariant Contrastive Learning. 7054-7067 - Chen Zhao, Wei Wu, Haoyi Zhang, Ruiyan Zhang, Xinyue Zheng, Xiangzeng Kong:
Sleep Stage Classification Via Multi-View Based Self-Supervised Contrastive Learning of EEG. 7068-7077 - Zhuang Wang, Yuan Liu, Shuaifei Huang, Shiyin Qiu, Yujian Zhang, Huimin Huang, Xingwei An, Dong Ming:
EEG Characteristic Comparison of Motor Imagery Between Supernumerary and Inherent Limb: Sixth-Finger MI Enhances the ERD Pattern and Classification Performance. 7078-7089 - Jiyao Wang, Ximeng Wei, Hao Lu, Yingcong Chen, Dengbo He:
ConDiff-rPPG: Robust Remote Physiological Measurement to Heterogeneous Occlusions. 7090-7102 - Weinan Wang, Pedram Mohseni, Kevin L. Kilgore, Laleh Najafizadeh:
$\Delta$BP-Net: Monitoring "Changes" in Blood Pressure Using PPG With Self-Contrastive Masking. 7103-7115 - Yonggang Tong, Zhipei Huang, Feng Qiu, Tao Wang, Yiquan Wang, Fei Qin, Ming Yin:
An Accurate Non-Contact Photoplethysmography via Active Cancellation of Reflective Interference. 7116-7125 - Ke Liu, Tao Yang, Zhuliang Yu, Weibo Yi, Hong Yu, Guoyin Wang, Wei Wu:
MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding. 7126-7137 - Meng Shang, Lenore Dedeyne, Jolan Dupont, Laura Vercauteren, Nadjia Amini, Laurence Lapauw, Evelien Gielen, Sabine M. P. Verschueren, Carolina Varon, Walter De Raedt, Bart Vanrumste:
DS-MS-TCN: Otago Exercises Recognition With a Dual-Scale Multi-Stage Temporal Convolutional Network. 7138-7150 - Yeonggul Jang, Juyeong Jung, Youngtaek Hong, Jina Lee, Hyunseok Jeong, Hackjoon Shim, Hyuk-Jae Chang:
Fully Convolutional Hybrid Fusion Network With Heterogeneous Representations for Identification of S1 and S2 From Phonocardiogram. 7151-7163 - Michael Houston, Gang Seo, Feng Fang, Jeong-Ho Park, Hyung-Soon Park, Jinsook Roh, Yingchun Zhang:
Modulating Inter-Muscular Coordination Patterns in the Upper Extremity Induces Changes to Inter-Muscular, Cortico-Muscular, and Cortico-Cortical Connectivity. 7164-7174 - Wei Huang, Lei Zhang, Xin Shu, Zizhou Wang, Zhang Yi:
Adaptive Annotation Correlation Based Multi-Annotation Learning for Calibrated Medical Image Segmentation. 7175-7183 - Can Wang, Ruimin Wang, Yue Leng, Keiji Iramina, Yuankui Yang, Sheng Ge:
An Eye Movement Classification Method Based on Cascade Forest. 7184-7194 - Rohit Agarwal, Arindam Chowdhury, Rajib Kumar Chatterjee, Haradhan Chel, Chiranjib Murmu, Narayan Murmu, Debashis Nandi:
Deep Quasi-Recurrent Self-Attention With Dual Encoder-Decoder in Biomedical CT Image Segmentation. 7195-7205 - Ziyu Su, Mostafa Rezapour, Usama Sajjad, Shuo Niu, Metin Nafi Gürcan, Muhammad Khalid Khan Niazi:
Cross-Attention-Based Saliency Inference for Predicting Cancer Metastasis on Whole Slide Images. 7206-7216 - Sifan Song, Jinfeng Wang, Zilong Wang, Hongxing Wang, Jionglong Su, Xiaowei Ding, Kang Dang:
DualStreamFoveaNet: A Dual Stream Fusion Architecture With Anatomical Awareness for Robust Fovea Localization. 7217-7229 - Jinhyo Shin, Wonzoo Chung:
Multiband Convolutional Riemannian Network With Band-Wise Riemannian Triplet Loss for Motor Imagery Classification. 7230-7238 - Leon Ericsson, Adam Hjalmarsson, Muhammad Usman Akbar, Edward Ferdian, Mia Bonini, Brandon Hardy, Jonas Schollenberger, Maria Aristova, Patrick Winter, Nicholas S. Burris, Alexander Fyrdahl, Andreas Sigfridsson, Susanne Schnell, C. Alberto Figueroa, David Nordsletten, Alistair A. Young, David Marlevi:
Generalized Super-Resolution 4D Flow MRI - Using Ensemble Learning to Extend Across the Cardiovascular System. 7239-7250 - Ziwei Hu, Jianchao Wang, Qinquan Gao, Zhida Wu, Hanchuan Xu, Zhechen Guo, Jiawei Quan, Lihua Zhong, Min Du, Tong Tong, Gang Chen:
Weakly Supervised Classification for Nasopharyngeal Carcinoma With Transformer in Whole Slide Images. 7251-7262 - Wenfeng Xu, Cong Lai, Zefeng Mo, Cheng Liu, Maoyuan Li, Gansen Zhao, Kewei Xu:
Clinical-Inspired Framework for Automatic Kidney Stone Recognition and Analysis on Transverse CT Images. 7263-7274 - Sehui Kim, Hyungjin Chung, Se Hie Park, Eui-Sang Chung, Kayoung Yi, Jong Chul Ye:
Fundus Image Enhancement Through Direct Diffusion Bridges. 7275-7286 - Helena R. Torres, Bruno Oliveira, Anne Fritze, Cahit Birdir, Mario Rüdiger, Jaime C. Fonseca, Pedro Morais, João L. Vilaça:
Deep-DM: Deep-Driven Deformable Model for 3D Image Segmentation Using Limited Data. 7287-7299 - Tianshu Zheng, Ruicheng Ba, Yongquan Huang, Dan Wu:
tDKI-Net: A Joint q-t Space Learning Network for Diffusion-Time-Dependent Kurtosis Imaging. 7300-7310 - Yi Wang, Bing Luo, Yuan Zhang, Zhenting Xiao, Miaomiao Wang, Yilong Niu, Asoke K. Nandi:
DPFNet: Fast Reconstruction of Multi-Coil MRI Based on Dual Domain Parallel Fusion Network. 7311-7321 - Wei Li, Tianyu Liu, Feiyan Feng, Shengpeng Yu, Hong Wang, Yanshen Sun:
BTSSPro: Prompt-Guided Multimodal Co-Learning for Breast Cancer Tumor Segmentation and Survival Prediction. 7322-7331 - Zhiqiang Wang, Yanbin Lin, Xingquan Zhu:
Transfer Contrastive Learning for Raman Spectroscopy Skin Cancer Tissue Classification. 7332-7344 - Jisen Guo, Peng Xu, Yuankui Wu, Yunyun Tao, Chu Han, Jiatai Lin, Ke Zhao, Zaiyi Liu, Wenbin Liu, Cheng Lu:
CroMAM: A Cross-Magnification Attention Feature Fusion Model for Predicting Genetic Status and Survival of Gliomas Using Histological Images. 7345-7356 - Cole Baker, Isabel Suárez-Méndez, Grace Smith, Elisabeth B. Marsh, Michael Funke, John C. Mosher, Fernando Maestú, Mengjia Xu, Dimitrios Pantazis:
Hyperbolic Graph Embedding of MEG Brain Networks to Study Brain Alterations in Individuals With Subjective Cognitive Decline. 7357-7368 - Renkai Wu, Pengchen Liang, Yiqi Huang, Qing Chang, Huiping Yao:
Automatic Segmentation of Hemorrhages in the Ultra-Wide Field Retina: Multi-Scale Attention Subtraction Networks and an Ultra-Wide Field Retinal Hemorrhage Dataset. 7369-7381 - Susmita Palmal, Sriparna Saha, Nikhilanad Arya, Somanath Tripathy:
CAGCL: Predicting Short- and Long-Term Breast Cancer Survival With Cross-Modal Attention and Graph Contrastive Learning. 7382-7391 - Jiquan Wang, Sha Zhao, Haiteng Jiang, Yangxuan Zhou, Zhenghe Yu, Tao Li, Shijian Li, Gang Pan:
CareSleepNet: A Hybrid Deep Learning Network for Automatic Sleep Staging. 7392-7405 - Peixi Peng, Wanshu Fan, Yue Shen, Wenfei Liu, Xin Yang, Qiang Zhang, Xiaopeng Wei, Dongsheng Zhou:
Eye Gaze Guided Cross-Modal Alignment Network for Radiology Report Generation. 7406-7419 - Qian Yang, Caizi Li, Chubin Ou, Kang Li, Xiangyun Liao, Chuanzhi Duan, Lequan Yu, Weixin Si:
Synthesizing Feature-Aligned and Category-Aware Electronic Medical Records for Intracranial Aneurysm Rupture Prediction. 7420-7433 - Ming Xia, Dongmin Huang, Wenjin Wang:
Multi-Task Learning for Audio-Based Infant Cry Detection and Reasoning. 7434-7446 - Yongliang Chen, Yudan Lv, Xinyu Sun, Mikhail Poluektov, Yuan Zhang, Thomas Penzel:
ESSN: An Efficient Sleep Sequence Network for Automatic Sleep Staging. 7447-7456 - Trung-Hieu Hoang, Christopher M. Zallek, Minh N. Do:
Smartphone-Based Digitized Neurological Examination Toolbox for Multi-Test Neurological Abnormality Detection and Documentation. 7457-7468 - Jianguo Ju, Dandan Qiu, Hao Lei, Shumin Ren, Wei Zhao, Pengfei Xu, Xuesong Zhao, Ziyu Guan:
CDI-NSTSEG: A Clinical Diagnosis-Inspired Effective and Efficient Framework for Non-Salient Small Tumor Segmentation. 7469-7479 - Azad Singh, Vandan Gorade, Deepak Mishra:
MLVICX: Multi-Level Variance-Covariance Exploration for Chest X-Ray Self-Supervised Representation Learning. 7480-7490 - Jingming Li, Zhengyuan Lyu, Hu Yu, Si Fu, Ke Li, Li Yao, Xiaojuan Guo:
Signed Curvature Graph Representation Learning of Brain Networks for Brain Age Estimation. 7491-7502 - Wei Bo, Suzanne S. Sullivan, Xiaoyu Zhang, Mingchen Gao, Wenyao Xu:
A Telemedicine Analytic Framework for Fully and Semi-Automatic Alzheimer's Disease Screening Using Clock Drawing Test. 7503-7516 - Iván González-Díaz, Miguel Molina-Moreno, Jenny Benois-Pineau, Aymar de Rugy:
Asymmetric Multi-Task Learning for Interpretable Gaze-Driven Grasping Action Forecasting. 7517-7530 - Yuqi Wu, Kaining Mao, Yanbo Zhang, Jie Chen:
CALLM: Enhancing Clinical Interview Analysis Through Data Augmentation With Large Language Models. 7531-7542 - Muhammad Sajid, Ali Hassan, Dilshad Ahmed Khan, Shoab Ahmed Khan, Asim Dilawar Bakhshi, Muhammad Usman Akram, Mishal Babar, Farhan Hussain, Wadood Abdul:
AI-CADR: Artificial Intelligence Based Risk Stratification of Coronary Artery Disease Using Novel Non-Invasive Biomarkers. 7543-7552 - Isotta Trescato, Erica Tavazzi, Martina Vettoretti, Roberto Gatta, Rosario Vasta, Adriano Chiò, Barbara Di Camillo:
DYNAMITE: Integrating Archetypal Analysis and Process Mining for Interpretable Disease Progression Modelling. 7553-7564 - Bukhoree Sahoh, Mallika Kliangkhlao, Kanjana Haruehansapong, Kirttayoth Yeranee, Yunyong Punsawad:
A Personal Thermal Comfort Model Based on Causal Artificial Intelligence: A Physiological Sensor-Enabled Causal Identifiability. 7565-7576 - Frank P.-W. Lo, Jianing Qiu, Zeyu Wang, Junhong Chen, Bo Xiao, Wu Yuan, Stamatia Giannarou, Gary S. Frost, Benny Lo:
Dietary Assessment With Multimodal ChatGPT: A Systematic Analysis. 7577-7587 - Beiyuan Yang, Yule Liu, Junfeng Wu, Fang Bai, Mingyue Zheng, Jie Zheng:
GENNDTI: Drug-Target Interaction Prediction Using Graph Neural Network Enhanced by Router Nodes. 7588-7598 - Yueming Yin, Hilbert Yuen In Lam, Yuguang Mu, Hoi-Yeung Li, Adams Wai-Kin Kong:
Advancing Bioactivity Prediction Through Molecular Docking and Self-Attention. 7599-7610 - Zhengwei Li, Xu Bai, Ru Nie, Yanyan Liu, Lei Zhang, Zhuhong You:
Predicting miRNA-Disease Associations Based on Spectral Graph Transformer With Dynamic Attention and Regularization. 7611-7622 - Zhenyu Jiang, Pingjian Ding, Cong Shen, Xiaopeng Dai:
Geometric Molecular Graph Representation Learning Model for Drug-Drug Interactions Prediction. 7623-7632 - Xiaoqing Lian, Jie Zhu, Tianxu Lv, Xiaoyan Hong, Longzhen Ding, Wei Chu, Jianming Ni, Xiang Pan:
Advancing the Boundary of Pre-Trained Models for Drug Discovery: Interpretable Fine-Tuning Empowered by Molecular Physicochemical Properties. 7633-7646 - Shuchen Liu, Wen Zhu, Peng Wang, Shaoyou Yu, Fang-Xiang Wu:
Identifying Associations Between Small Nucleolar RNAs and Diseases via Graph Convolutional Network and Attention Mechanism. 7647-7658 - Xuan Zang, Junjie Zhang, Buzhou Tang:
Self-Supervised Pre-Training via Multi-View Graph Information Bottleneck for Molecular Property Prediction. 7659-7669 - Ning Ai, Haoliang Yuan, Yong Liang, Shanghui Lu, Dong Ouyang, Qi Hong Lai, Loi Lei Lai:
Multi-View Multiattention Graph Learning With Stack Deep Matrix Factorization for circRNA-Drug Sensitivity Association Identification. 7670-7682 - M. L. Tlachac, Michael V. Heinz:
Mental Health and Mobile Communication Profiles of Crowdsourced Participants. 7683-7692
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