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2020 – today
- 2025
[j143]Zhuo Xiang
, Xiaoyu Tian, Yiyao Liu, Minsi Chen, Cheng Zhao, Li-Na Tang, En-Sheng Xue, Qi Zhou, Bin Shen, Fang Li, Qin Chen, Hong-Yuan Xue, Qing Tang, Ying-Jia Li, Lei Liang, Bin Wang, Quan-Shui Li, Chang-Jun Wu, Tian-Tian Ren, Jin-Yu Wu, Tianfu Wang, Wen-Ying Liu, Kun Yan, Bo-Ji Liu, Li-Ping Sun, Chong-Ke Zhao, Hui-Xiong Xu, Baiying Lei:
Federated learning via multi-attention guided UNet for thyroid nodule segmentation of ultrasound images. Neural Networks 181: 106754 (2025)- 2024
- [j142]Xieling Chen, Haoran Xie, Xiaohui Tao, Fu Lee Wang, Mingming Leng, Baiying Lei:
Artificial intelligence and multimodal data fusion for smart healthcare: topic modeling and bibliometrics. Artif. Intell. Rev. 57(4): 91 (2024) - [j141]Xiaoting Zeng, Weilin Chen, Baiying Lei:
CAT-DTI: cross-attention and Transformer network with domain adaptation for drug-target interaction prediction. BMC Bioinform. 25(1): 141 (2024) - [j140]Yunlong Sun, Jingge Lian, Ze Teng, Ziyi Wei, Yi Tang, Liu Yang, Yajuan Gao, Tianfu Wang, Hongfeng Li, Meng Xu, Baiying Lei:
COVID-19 diagnosis based on swin transformer model with demographic information fusion and enhanced multi-head attention mechanism. Expert Syst. Appl. 243: 122805 (2024) - [j139]Lihong Qiao, Rui Wang, Yucheng Shu, Bin Xiao, Xidong Xu, Baobin Li, Le Yang, Weisheng Li, Xinbo Gao, Baiying Lei:
CMRVAE: Contrastive margin-restrained variational auto-encoder for class-separated domain adaptation in cardiac segmentation. Knowl. Based Syst. 304: 112412 (2024) - [j138]Youyi Song, Jing Zou, Kup-Sze Choi, Baiying Lei, Jing Qin:
Cell classification with worse-case boosting for intelligent cervical cancer screening. Medical Image Anal. 91: 103014 (2024) - [j137]Baiying Lei, Yafeng Li, Wanyi Fu, Peng Yang, Shaobin Chen, Tianfu Wang, Xiaohua Xiao, Tianye Niu, Yu Fu, Shuqiang Wang, Hongbin Han, Jing Qin:
Alzheimer's disease diagnosis from multi-modal data via feature inductive learning and dual multilevel graph neural network. Medical Image Anal. 97: 103213 (2024) - [j136]Jiajun Liang, Huijuan Pan, Zhuo Xiang, Jing Qin, Yali Qiu, Libao Guo, Tianfu Wang, Wei Jiang, Baiying Lei:
Echocardiographic segmentation based on semi-supervised deep learning with attention mechanism. Multim. Tools Appl. 83(12): 36953-36973 (2024) - [j135]Jing Zhang, Yingpeng Xie, Dandan Sun, Ruidong Huang, Tianfu Wang, Baiying Lei, Kuntao Chen:
Multi-national CT image-label pairs synthesis for COVID-19 diagnosis via few-shot generative adversarial networks adaptation. Neural Comput. Appl. 36(9): 5007-5019 (2024) - [j134]Jie Du, Wei Li, Peng Liu, Chi-Man Vong, Yongke You, Baiying Lei, Tianfu Wang:
Federated learning using model projection for multi-center disease diagnosis with non-IID data. Neural Networks 178: 106409 (2024) - [j133]Yongcheng Zong, Qiankun Zuo, Michael Kwok-Po Ng, Baiying Lei, Shuqiang Wang:
A New Brain Network Construction Paradigm for Brain Disorder via Diffusion-Based Graph Contrastive Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10389-10403 (2024) - [j132]Baiying Lei, Yu Liang, Jiayi Xie, You Wu, Enmin Liang, Yong Liu, Peng Yang, Tianfu Wang, Chuan-Ming Liu, Jichen Du, Xiaohua Xiao, Shuqiang Wang:
Hybrid federated learning with brain-region attention network for multi-center Alzheimer's disease detection. Pattern Recognit. 153: 110423 (2024) - [j131]Junren Pan, Qiankun Zuo, Bing-Chuan Wang, C. L. Philip Chen, Baiying Lei, Shuqiang Wang:
DecGAN: Decoupling Generative Adversarial Network for Detecting Abnormal Neural Circuits in Alzheimer's Disease. IEEE Trans. Artif. Intell. 5(10): 5050-5063 (2024) - [j130]Senrong You, Bin Yuan, Zhihan Lyu, Charles K. Chui, C. L. Philip Chen, Baiying Lei, Shuqiang Wang:
Generative AI Enables Synthesizing Cross-Modality Brain Image via Multi-Level-Latent Representation Learning. IEEE Trans. Computational Imaging 10: 1152-1164 (2024) - [j129]Boxiang Yun, Baiying Lei, Jieneng Chen, Huiyu Wang, Song Qiu, Wei Shen, Qingli Li, Yan Wang:
SpecTr: Spectral Transformer for Microscopic Hyperspectral Pathology Image Segmentation. IEEE Trans. Circuits Syst. Video Technol. 34(6): 4610-4624 (2024) - [j128]Qiankun Zuo, Huisi Wu, C. L. Philip Chen, Baiying Lei, Shuqiang Wang:
Prior-Guided Adversarial Learning With Hypergraph for Predicting Abnormal Connections in Alzheimer's Disease. IEEE Trans. Cybern. 54(6): 3652-3665 (2024) - [j127]Changhong Jing, Yanyan Shen, Shen Zhao, Yi Pan, C. L. Philip Chen, Baiying Lei, Shuqiang Wang:
Estimating Addiction-Related Brain Connectivity by Prior-Embedding Graph Generative Adversarial Networks. IEEE Trans. Cybern. 54(9): 5026-5039 (2024) - [j126]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. IEEE J. Biomed. Health Informatics 28(1): 54-65 (2024) - [j125]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. IEEE J. Biomed. Health Informatics 28(11): 6373-6383 (2024) - [j124]Zifeng Qiu, Peng Yang, Chunlun Xiao, Shuqiang Wang, Xiaohua Xiao, Jing Qin, Chuan-Ming Liu, Tianfu Wang, Baiying Lei:
3D Multimodal Fusion Network With Disease-Induced Joint Learning for Early Alzheimer's Disease Diagnosis. IEEE Trans. Medical Imaging 43(9): 3161-3175 (2024) - [j123]Shuang Liang, Wenlong Hang, Baiying Lei, Jun Wang, Jing Qin, Kup-Sze Choi, Yu Zhang:
Adaptive Multimodel Knowledge Transfer Matrix Machine for EEG Classification. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7726-7739 (2024) - [j122]Bowen Hu, Choujun Zhan, Buzhou Tang, Bingchuan Wang, Baiying Lei, Shuqiang Wang:
3-D Brain Reconstruction by Hierarchical Shape-Perception Network From a Single Incomplete Image. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13271-13283 (2024) - [j121]Cheng Zhao, Peng Yang, Feng Zhou, Guanghui Yue, Shuigen Wang, Huisi Wu, Guoliang Chen, Tianfu Wang, Baiying Lei:
MHW-GAN: Multidiscriminator Hierarchical Wavelet Generative Adversarial Network for Multimodal Image Fusion. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13713-13727 (2024) - [c160]Xiangwen Cai, Haijun Lei, Zhenquan Wu, Hai Xie, Guoming Zhang, Baiying Lei:
DCI-FQA: Dual-Branch Cross Interaction Network for Fundus Quality Assessment. ISBI 2024: 1-4 - [c159]Zhenghua Guan, Xuegang Song, Peng Yang, Jiaqiang Li, Bao Yang, Xiaohua Xiao, Chuanming Liu, Tianfu Wang, Baiying Lei:
Multi-scale 3D Convolutional LSTM for Longitudinal Alzheimer's Disease Identification. ISBI 2024: 1-5 - [c158]Xupeng Wang, Zhuo Xiang, Weiling Chen, Chuan-Ming Liu, Xiaoyu Tian, Cheng Zhao, Shumin Fan, Wei Yu, Xunyi Chen, Tianfu Wang, Bei Xia, Baiying Lei:
Key Point Guide Network for Infant Echocardiographic Segmentation. ISBI 2024: 1-4 - [c157]Yingpeng Xie, Junlong Qu, Hai Xie, Tianfu Wang, Baiying Lei:
DiffDGSS: Generalizable Retinal Image Segmentation with Deterministic Representation from Diffusion Models. MICCAI (8) 2024: 166-176 - [c156]Haijun Lei, Guanjie Tong, Huaqiang Su, Baiying Lei:
Weak-Supervised Attention Fusion Network for Carotid Artery Vessel Wall Segmentation. MICCAI (1) 2024: 349-358 - [c155]Huaqiang Su, Haijun Lei, Guoliang Chen, Baiying Lei:
Cross-Graph Interaction and Diffusion Probability Models for Lung Nodule Segmentation. MICCAI (1) 2024: 482-492 - [c154]Xiang Dong, Hai Xie, Li Li, Bao Yang, Tianfu Wang, Baiying Lei:
A Novel Diffusion Model with Wavelet Transform for Optic Disc and Cup Segmentation in Fundus Images. PRCV (15) 2024: 63-76 - [c153]Li Li, Youyi Song, Xiang Dong, Peng Yang, Tianfu Wang, Baiying Lei:
Misclassification Detection via Counterexample Learning for Trustworthy Cervical Cancer Screening. PRCV (11) 2024: 187-200 - [c152]Feifei Jin, Cheng Zhao, Zhuo Xiang, Xunyi Chen, Yu Zhang, Shumin Fan, Luyao Zhou, Weiling Chen, Tianfu Wang, Baiying Lei:
Multi-modality Correlation Learning Network for Pediatric Ventricular Septal Defects Identification. PRCV (15) 2024: 270-286 - 2023
- [j120]Shuang Liang, Zengguang Li, Wenlong Hang, Yuanpeng Zhang, Baiying Lei, Jing Qin, Yu Zhang, Kup-Sze Choi:
Structure invariance-driven collaborative contrastive network for EEG decoding. Biomed. Signal Process. Control. 86(Part B): 105214 (2023) - [j119]Jing Zhang, Yiyao Liu, Baiying Lei, Dandan Sun, Siqi Wang, Changning Zhou, Xing Ding, Yang Chen, Fen Chen, Tianfu Wang, Ruidong Huang, Kuntao Chen:
GIONet: Global information optimized network for multi-center COVID-19 diagnosis via COVID-GAN and domain adversarial strategy. Comput. Biol. Medicine 163: 107113 (2023) - [j118]Peng Yang, Wei Zheng, Qiong Yang, Xiaohua Xiao, Tianfu Wang, Baiying Lei, Ziwen Peng:
OCD diagnosis via smooth sparse network and fused sparse auto-encoder learning. Expert Syst. Appl. 216: 119389 (2023) - [j117]Hai Xie, Yaling Liu, Haijun Lei, Tiancheng Song, Guanghui Yue, Yueshanyi Du, Tianfu Wang, Guoming Zhang, Baiying Lei:
Adversarial learning-based multi-level dense-transmission knowledge distillation for AP-ROP detection. Medical Image Anal. 84: 102725 (2023) - [j116]Changhong Jing, Changwei Gong, Zuxin Chen, Baiying Lei, Shuqiang Wang:
TA-GAN: transformer-driven addiction-perception generative adversarial network. Neural Comput. Appl. 35(13): 9579-9591 (2023) - [j115]Haijun Lei, Yukang Lei, Zihao Chen, Shiqi Li, Zhongwei Huang, Feng Zhou, Ee-Leng Tan, Xiaohua Xiao, Yi Lei, Huoyou Hu, Yaohui Huang, Chien-Hung Liu, Baiying Lei:
Early diagnosis and clinical score prediction of Parkinson's disease based on longitudinal neuroimaging data. Neural Comput. Appl. 35(22): 16429-16455 (2023) - [j114]Haijun Lei, Zhihui Tian, Hai Xie, Benjian Zhao, Xianlu Zeng, Jiuwen Cao, Weixin Liu, Jiantao Wang, Guoming Zhang, Shuqiang Wang, Baiying Lei:
LAC-GAN: Lesion attention conditional GAN for Ultra-widefield image synthesis. Neural Networks 158: 89-98 (2023) - [j113]Baiying Lei, Yun Zhu, Shuangzhi Yu, Huoyou Hu, Yanwu Xu, Guanghui Yue, Tianfu Wang, Cheng Zhao, Shaobin Chen, Peng Yang, Xuegang Song, Xiaohua Xiao, Shuqiang Wang:
Multi-scale enhanced graph convolutional network for mild cognitive impairment detection. Pattern Recognit. 134: 109106 (2023) - [j112]Guanghui Yue, Siying Li, Runmin Cong, Tianwei Zhou, Baiying Lei, Tianfu Wang:
Attention-Guided Pyramid Context Network for Polyp Segmentation in Colonoscopy Images. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [j111]Xuegang Song, Feng Zhou, Alejandro F. Frangi, Jiuwen Cao, Xiaohua Xiao, Yi Lei, Tianfu Wang, Baiying Lei:
Multicenter and Multichannel Pooling GCN for Early AD Diagnosis Based on Dual-Modality Fused Brain Network. IEEE Trans. Medical Imaging 42(2): 354-367 (2023) - [j110]Youyi Song, Lequan Yu, Baiying Lei, Kup-Sze Choi, Jing Qin:
Data Discernment for Affordable Training in Medical Image Segmentation. IEEE Trans. Medical Imaging 42(5): 1431-1445 (2023) - [j109]Shaobin Chen, Zhenquan Wu, Mingzhu Li, Yun Zhu, Hai Xie, Peng Yang, Cheng Zhao, Yongtao Zhang, Shaochong Zhang, Xinyu Zhao, Lin Lu, Guoming Zhang, Baiying Lei:
FIT-Net: Feature Interaction Transformer Network for Pathologic Myopia Diagnosis. IEEE Trans. Medical Imaging 42(9): 2524-2538 (2023) - [j108]Yingpeng Xie, Qiwei Wan, Hai Xie, Yanwu Xu, Tianfu Wang, Shuqiang Wang, Baiying Lei:
Fundus Image-Label Pairs Synthesis and Retinopathy Screening via GANs With Class-Imbalanced Semi-Supervised Learning. IEEE Trans. Medical Imaging 42(9): 2714-2725 (2023) - [j107]Baiying Lei, Yun Zhu, Enmin Liang, Peng Yang, Shaobin Chen, Huoyou Hu, Haoran Xie, Ziyi Wei, Fei Hao, Xuegang Song, Tianfu Wang, Xiaohua Xiao, Shuqiang Wang, Hongbin Han:
Federated Domain Adaptation via Transformer for Multi-Site Alzheimer's Disease Diagnosis. IEEE Trans. Medical Imaging 42(12): 3651-3664 (2023) - [j106]Wen Yu, Baiying Lei, Shuqiang Wang, Yong Liu, Zhiguang Feng, Yong Hu, Yanyan Shen, Michael K. Ng:
Morphological Feature Visualization of Alzheimer's Disease via Multidirectional Perception GAN. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4401-4415 (2023) - [j105]Senrong You, Baiying Lei, Shuqiang Wang, Charles K. Chui, Albert C. Cheung, Yong Liu, Min Gan, Guo-Cheng Wu, Yanyan Shen:
Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8802-8814 (2023) - [c151]Jialan Tang, Weilin Chen, Xiaoting Zeng, Chuan-Ming Liu, Pingkang Li, Baiying Lei:
GTDDA: Graph Convolutional Network and Graph Transformer Structure for Drug Repositioning. BIBM 2023: 436-439 - [c150]Haijun Lei, Hai Xie, Jia Zhao, Danrui Zhao, Limin Huang, Baiying Lei:
Prior Information Guided Coarse-to-fine Dual-branch Encoding Network for Fovea Localization and Optic Disc/Cup Segmentation. BIBM 2023: 1218-1223 - [c149]Haijun Lei, Jia Zhao, Guanjie Tong, Xinyun Qiu, Huaqiang Su, Baiying Lei:
Weakly Supervised Myeloma Cells Segmentation based on Point Annotation. BIBM 2023: 1224-1229 - [c148]Haijun Lei, Jia Zhao, Hai Xie, Yaling Liu, Guoming Zhang, Baiying Lei:
Dual-branch Feature Interaction Network with Structure Information Learning for Retinopathy of Prematurity Classification. BIBM 2023: 1230-1235 - [c147]Haijun Lei, Shuyuan Lei, Chengjia Liang, Baiying Lei, Yuchen Zhang:
Self-supervised Distillation and Multi-scale Network for Parkinson's Disease Classification. BIBM 2023: 2003-2006 - [c146]Haijun Lei, Jia Zhao, Guanjie Tong, Longjiang Zhang, Huaqiang Su, Baiying Lei:
Dual Branch CNN and Transformer for Cardiac Atherosclerotic Plaque Classification. BIBM 2023: 2007-2010 - [c145]Huaqiang Su, Haijun Lei, Guoliang Chen, Xin Chen, Baiying Lei:
Mutual Graph Learning Network and Diffusion Probabilistic Model-based Medical Image Segmentation. BIBM 2023: 2245-2248 - [c144]Namu Baima, Tianfu Wang, Chong-Ke Zhao, Siping Chen, Chen Zhao, Baiying Lei:
Dense Swin Transformer for Classification of Thyroid Nodules. EMBC 2023: 1-4 - [c143]Yu Liang, Meijuan Long, Peng Yang, Tianfu Wang, Juan Jiao, Baiying Lei:
Fused Brain Functional Connectivity Network and Edge-attention Graph Convolution Network for Fibromyalgia Syndrome Diagnosis. EMBC 2023: 1-5 - [c142]Yuanlin Liu, Haiying Li, Jie Lin, Hairui Li, Haijun Lei, Chunmei Xia, Chunlun Xiao, Baiying Lei:
Gated CNN-Transformer Network for Automatic Cardiovascular Diagnosis using 12-lead Electrocardiogram. EMBC 2023: 1-4 - [c141]Xiaoyu Tian, Simin Ruan, Zhuo Xiang, Mingde Li, Cheng Zhao, Minsi Chen, Danni He, Namu Baima, Wei Wang, Siping Chen, Tianfu Wang, Baiying Lei:
A Two-stage Diagnostic Framework for Post-ablation Treatment Response Assessment in Patients with Hepatocellular Carcinoma. EMBC 2023: 1-4 - [c140]Jing Zhang, Yiyao Liu, Baiying Lei, Dandan Sun, Ruidong Huang, Tianfu Wang, Siping Chen, Kuntao Chen:
Graph Convolution and Self-attention Enhanced CNN with Domain Adaptation for Multi-site COVID-19 Diagnosis. EMBC 2023: 1-4 - [c139]Yongtao Zhang, Ning Yuan, Bing Liu, Aocai Yang, Hongwei Yu, Kuan Lv, Jixin Luan, Pianpian Hu, Haijun Lei, Tianfu Wang, Guolin Ma, Baiying Lei:
USBDAN: Unsupervised Scale-aware and Boundary-aware Domain Adaptive Network for Gastric Tumor Segmentation. EMBC 2023: 1-4 - [c138]Wenlong Hang, Jiaxing Li, Shuang Liang, Yuan Wu, Baiying Lei, Jing Qin, Yu Zhang, Kup-Sze Choi:
FedEEG: Federated EEG Decoding Via inter-Subject Structure Matching. ICASSP 2023: 1-5 - [c137]Pingkang Li, Haijun Lei, Xuegang Song, Jia Zhao, Jialan Tang, Yukang Lei, Baiying Lei:
Diagnosis of Covid-19 Via Multi-Layer Multi-Center Graph Attention Network. ISBI 2023: 1-4 - [c136]Chunlun Xiao, Anqi Zhu, Chunmei Xia, Yuanlin Liu, Zifeng Qiu, Qiao Wang, Weiwei Ren, Dandan Shan, Tianfu Wang, Lehang Guo, Baiying Lei:
Dual-Branch Multimodal Fusion Network for Skin Lesions Diagnosis using Clinical and Ultrasound Image. ISBI 2023: 1-4 - [c135]Jing Zhang, Yingpeng Xie, Dandan Sun, Ruidong Huang, Tianfu Wang, Baiying Lei, Kuntao Chen:
Multi-national COVID-19 CT Image-label Pairs Synthesis via Few-Shot GANs Adaptation. ISBI 2023: 1-4 - [c134]Jia Zhao, Haijun Lei, Hai Xie, Pingkang Li, Yaling Liu, Guoming Zhang, Baiying Lei:
Dual-Branch Attention Network and Swin Spatial Pyramid Pooling for Retinopathy of Prematurity Classification. ISBI 2023: 1-4 - [c133]Junlong Qu, Hai Xie, Yingpeng Xie, Huiling Hu, Jiaqiang Li, Yunlong Sun, Guoming Zhang, Baiying Lei:
Multi-relational Graph Convolutional Neural Networks for Carotid Artery Stenosis Diagnosis via Fundus Images. OMIA@MICCAI 2023: 122-131 - [c132]Peng Yang, Yuchen Zhang, Haijun Lei, Yueyan Bian, Qi Yang, Baiying Lei:
Acute Ischemic Stroke Onset Time Classification with Dynamic Convolution and Perfusion Maps Fusion. MICCAI (5) 2023: 558-568 - [c131]Wei Xiong, Kaiwei Yu, Liang Yang, Baiying Lei:
PAS-Net: Rapid Prediction of Antibiotic Susceptibility from Fluorescence Images of Bacterial Cells Using Parallel Dual-Branch Network. MICCAI (8) 2023: 580-591 - [c130]Yunlong Sun, Yiyao Liu, Junlong Qu, Xiang Dong, Xuegang Song, Baiying Lei:
COVID-19 Diagnosis Based on Swin Transformer Model with Demographic Information Fusion and Enhanced Multi-head Attention Mechanism. MLMI@MICCAI (2) 2023: 194-204 - [c129]Xiang Dong, Hai Xie, Yunlong Sun, Zhenquan Wu, Bao Yang, Junlong Qu, Guoming Zhang, Baiying Lei:
A Super Token Vision Transformer and CNN Parallel Branch Network for mCNV Lesion Segmentation in OCT Images. MLMI@MICCAI (1) 2023: 267-276 - [c128]Xuhang Chen, Baiying Lei, Chi-Man Pun, Shuqiang Wang:
Brain Diffuser: An End-to-End Brain Image to Brain Network Pipeline. PRCV (13) 2023: 16-26 - [i29]Xuhang Chen, Baiying Lei, Chi-Man Pun, Shuqiang Wang:
Brain Diffuser: An End-to-End Brain Image to Brain Network Pipeline. CoRR abs/2303.06410 (2023) - [i28]Bowen Hu, Baiying Lei, Shuqiang Wang:
SG-GAN: Fine Stereoscopic-Aware Generation for 3D Brain Point Cloud Up-sampling from a Single Image. CoRR abs/2305.12646 (2023) - [i27]Qiankun Zuo, Baiying Lei, Ning Zhong, Yi Pan, Shuqiang Wang:
Brain Structure-Function Fusing Representation Learning using Adversarial Decomposed-VAE for Analyzing MCI. CoRR abs/2305.14404 (2023) - 2022
- [j104]Hai Xie, Yejun He, Dong Xu, Jong Yih Kuo, Haijun Lei, Baiying Lei:
Joint segmentation and classification task via adversarial network: Application to HEp-2 cell images. Appl. Soft Comput. 114: 108156 (2022) - [j103]Zhongwei Huang, Haijun Lei, Guoliang Chen, Haimei Li, Chuandong Li, Wenwen Gao, Yue Chen, Yaofa Wang, Haibo Xu, Guolin Ma, Baiying Lei:
Multi-center sparse learning and decision fusion for automatic COVID-19 diagnosis. Appl. Soft Comput. 115: 108088 (2022) - [j102]Yujian Liu, Jie Du, Chi-Man Vong, Guanghui Yue, Juan Yu, Yuli Wang, Baiying Lei, Tianfu Wang:
Scale-adaptive super-feature based MetricUNet for brain tumor segmentation. Biomed. Signal Process. Control. 73: 103442 (2022) - [j101]Haijun Lei, Yuchen Zhang, Hancong Li, Zhongwei Huang, Chien-Hung Liu, Feng Zhou, Ee-Leng Tan, Xiaohua Xiao, Yi Lei, Huoyou Hu, Yaohui Huang, Baiying Lei:
Gene-related Parkinson's disease diagnosis via feature-based multi-branch octave convolution network. Comput. Biol. Medicine 148: 105859 (2022) - [j100]Zhuo Xiang, Qiuluan Zhuo, Cheng Zhao, Xiaofei Deng, Ting Zhu, Tianfu Wang, Wei Jiang, Baiying Lei:
Self-supervised multi-modal fusion network for multi-modal thyroid ultrasound image diagnosis. Comput. Biol. Medicine 150: 106164 (2022) - [j99]Rugang Zhang, Jinfeng Zhao, Hai Xie, Tianfu Wang, Guozhen Chen, Guoming Zhang, Baiying Lei:
Automatic diagnosis for aggressive posterior retinopathy of prematurity via deep attentive convolutional neural network. Expert Syst. Appl. 187: 115843 (2022) - [j98]Baiying Lei, Enmin Liang, Mengya Yang, Peng Yang, Feng Zhou, Ee-Leng Tan, Yi Lei, Chuan-Ming Liu, Tianfu Wang, Xiaohua Xiao, Shuqiang Wang:
Predicting clinical scores for Alzheimer's disease based on joint and deep learning. Expert Syst. Appl. 187: 115966 (2022) - [j97]Tianlei Wang, Jiuwen Cao, Haozhen Dai, Baiying Lei, Huanqiang Zeng:
Robust Maximum Mixture Correntropy Criterion Based One-Class Classification Algorithm. IEEE Intell. Syst. 37(2): 69-78 (2022) - [j96]Baiying Lei, Yuwen Zhang, Dongdong Liu, Yanwu Xu, Guanghui Yue, Jiuwen Cao, Huoyou Hu, Shuangzhi Yu, Peng Yang, Tianfu Wang, Yali Qiu, Xiaohua Xiao, Shuqiang Wang:
Longitudinal study of early mild cognitive impairment via similarity-constrained group learning and self-attention based SBi-LSTM. Knowl. Based Syst. 254: 109466 (2022) - [j95]Peng Yang, Cheng Zhao, Qiong Yang, Wei Zheng, Xiaohua Xiao, Li Shen, Tianfu Wang, Baiying Lei, Ziwen Peng:
Diagnosis of obsessive-compulsive disorder via spatial similarity-aware learning and fused deep polynomial network. Medical Image Anal. 75: 102244 (2022) - [j94]Huisi Wu, Shihuai Chen, Guilian Chen, Wei Wang, Baiying Lei, Zhenkun Wen:
FAT-Net: Feature adaptive transformers for automated skin lesion segmentation. Medical Image Anal. 76: 102327 (2022) - [j93]Xinzi He, Ee-Leng Tan, Hanwen Bi, Xuzhe Zhang, Shijie Zhao, Baiying Lei:
Fully transformer network for skin lesion analysis. Medical Image Anal. 77: 102357 (2022) - [j92]Yongtao Zhang, Ning Yuan, Zhiguo Zhang, Jie Du, Tianfu Wang, Bing Liu, Aocai Yang, Kuan Lv, Guolin Ma, Baiying Lei:
Unsupervised domain selective graph convolutional network for preoperative prediction of lymph node metastasis in gastric cancer. Medical Image Anal. 79: 102467 (2022) - [j91]Cheng Zhao, Weiling Chen, Jing Qin, Peng Yang, Zhuo Xiang, Alejandro F. Frangi, Minsi Chen, Shumin Fan, Wei Yu, Xunyi Chen, Bei Xia, Tianfu Wang, Baiying Lei:
IFT-Net: Interactive Fusion Transformer Network for Quantitative Analysis of Pediatric Echocardiography. Medical Image Anal. 82: 102648 (2022) - [j90]Shuqiang Wang, Zhuo Chen, Senrong You, Bingchuan Wang, Yanyan Shen, Baiying Lei:
Brain stroke lesion segmentation using consistent perception generative adversarial network. Neural Comput. Appl. 34(11): 8657-8669 (2022) - [j89]Jiuwen Cao, Dinghan Hu, Yaomin Wang, Jianzhong Wang, Baiying Lei:
Epileptic Classification With Deep-Transfer-Learning-Based Feature Fusion Algorithm. IEEE Trans. Cogn. Dev. Syst. 14(2): 684-695 (2022) - [j88]Haijun Lei, Weixin Liu, Hai Xie, Benjian Zhao, Guanghui Yue, Baiying Lei:
Unsupervised Domain Adaptation Based Image Synthesis and Feature Alignment for Joint Optic Disc and Cup Segmentation. IEEE J. Biomed. Health Informatics 26(1): 90-102 (2022) - [j87]Shengye Hu, Baiying Lei, Shuqiang Wang, Yong Wang, Zhiguang Feng, Yanyan Shen:
Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesis. IEEE Trans. Medical Imaging 41(1): 145-157 (2022) - [j86]Yang Li, Jingyu Liu, Yiqiao Jiang, Yu Liu, Baiying Lei:
Virtual Adversarial Training-Based Deep Feature Aggregation Network From Dynamic Effective Connectivity for MCI Identification. IEEE Trans. Medical Imaging 41(1): 237-251 (2022) - [j85]Yang Li, Yue Zhang, Wei-Gang Cui, Baiying Lei, Xihe Kuang, Teng Zhang:
Dual Encoder-Based Dynamic-Channel Graph Convolutional Network With Edge Enhancement for Retinal Vessel Segmentation. IEEE Trans. Medical Imaging 41(8): 1975-1989 (2022) - [j84]Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Fengbin Lin, Jaemin Son, Sunho Kim, Gwenolé Quellec, Sarah Matta, Sharath M. Shankaranarayana, Yi-Ting Chen, Chuen-heng Wang, Nisarg A. Shah, Chia-Yen Lee, Chih-Chung Hsu, Hai Xie, Baiying Lei, Ujjwal Baid, Shubham Innani, Kang Dang, Wenxiu Shi, Ravi Kamble, Nitin Singhal, Ching-Wei Wang, Shih-Chang Lo, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu:
ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images. IEEE Trans. Medical Imaging 41(10): 2828-2847 (2022) - [j83]Zhongwei Huang, Haijun Lei, Guoliang Chen, Alejandro F. Frangi, Yanwu Xu, Ahmed Elazab, Jing Qin, Baiying Lei:
Parkinson's Disease Classification and Clinical Score Regression via United Embedding and Sparse Learning From Longitudinal Data. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3357-3371 (2022) - [j82]Wen Yu, Baiying Lei, Michael K. Ng, Albert C. Cheung, Yanyan Shen, Shuqiang Wang:
Tensorizing GAN With High-Order Pooling for Alzheimer's Disease Assessment. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4945-4959 (2022) - [c127]Jialan Tang, Baiying Lei, Weilin Chen:
A Drug Repositioning Approach Using Drug and Disease Features. CBMS 2022: 193-198 - [c126]Limin Huang, Haijun Lei, Weixin Liu, Zhen Li, Hai Xie, Baiying Lei:
End-to-End Multi-task Learning Regression Network for Fovea Localization in Fundus Images. CBMS 2022: 389-393 - [c125]Xiaonan Cui, Tianlei Wang, Hao Chen, Baiying Lei, Pierre-Paul Vidal, Jiuwen Cao:
Incremental Quaternion Random Neural Networks. ICCSIP 2022: 174-191 - [c124]Yuchen Zhang, Haijun Lei, Zhongwei Huang, Zhen Li, Chuan-Ming Liu, Baiying Lei:
Parkinson's Disease Classification with Self-supervised Learning and Attention Mechanism. ICPR 2022: 4601-4607 - [c123]Menglu Zhao, Haijun Lei, Zhongwei Huang, Yuchen Zhang, Zhen Li, Chuan-Ming Liu, Baiying Lei:
Attention-based Graph Neural Network for the Classification of Parkinson's Disease. ICPR 2022: 4608-4614 - [c122]Mingzhu Li, Liangge He, Xinglie Wang, Tianfu Wang, Guanghui Yue, Guangqian Zhou, Baiying Lei:
Faster R-CNN for IPSC-Derived Mesenchymal Stromal Cells Senescent Detection from Bright-Field Microscopy. ISBI 2022: 1-4 - [c121]Xinyun Qiu, Haijun Lei, Hai Xie, Baiying Lei:
Segmentation of Multiple Myeloma Cells Using Feature Selection Pyramid Network and Semantic Cascade Mask RCNN. ISBI 2022: 1-4 - [c120]Wei Xiong, Kaiwei Yu, Yuming Cai, Liang Yang, Baiying Lei:
Coordinate Transformer Network for Prediction of Pseudomonas Aeruginosa's Drug Resistance. ISBI 2022: 1-4 - [c119]Chunmei Xia, Yue Ding, Jionglin Wu, Wenqiang Luo, Peidong Guo, Tianfu Wang, Baiying Lei:
Multi-channel Residual Neural Network Based on Squeeze-and-Excitation for Osteoporosis Diagnosis. CLIP@MICCAI 2022: 12-21 - [c118]Guanjie Tong, Haijun Lei, Limin Huang, Zhihui Tian, Hai Xie, Baiying Lei, Longjiang Zhang:
STAU-Net: A Spatial Structure Attention Network for 3D Coronary Artery Segmentation. CLIP@MICCAI 2022: 43-53 - [c117]Zifeng Qiu, Peng Yang, Tianfu Wang, Baiying Lei:
Hybrid Network Based on Cross-Modal Feature Fusion for Diagnosis of Alzheimer's Disease. EPIMI/ML-CDS@MICCAI 2022: 87-99 - [c116]Chunlun Xiao, Mingzhu Li, Liangge He, Xuegang Song, Tianfu Wang, Baiying Lei:
Swin Faster R-CNN for Senescence Detection of Mesenchymal Stem Cells in Bright-Field Images. MOVI@MICCAI 2022: 167-176 - [c115]Wenlong Hang, Yecheng Huang, Shuang Liang, Baiying Lei, Kup-Sze Choi, Jing Qin:
Reliability-Aware Contrastive Self-ensembling for Semi-supervised Medical Image Classification. MICCAI (1) 2022: 754-763 - [i26]Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Fengbin Lin, Jaemin Son, Sunho Kim, Gwenolé Quellec, Sarah Matta, Sharath M. Shankaranarayana, Yi-Ting Chen, Chuen-heng Wang, Nisarg A. Shah, Chia-Yen Lee, Chih-Chung Hsu, Hai Xie, Baiying Lei, Ujjwal Baid, Shubham Innani, Kang Dang, Wenxiu Shi, Ravi Kamble, Nitin Singhal, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu:
ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images. CoRR abs/2202.07983 (2022) - [i25]Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Jaemin Son, Shuang Yu, Menglu Zhang, Chenglang Yuan, Cheng Bian, Baiying Lei, Benjian Zhao, Xinxing Xu, Shaohua Li, Francisco Fumero, José F. Sigut, Haidar Almubarak, Yakoub Bazi, Yuanhao Guo, Yating Zhou, Ujjwal Baid, Shubham Innani, Tianjiao Guo, Jie Yang, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu:
REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment. CoRR abs/2202.08994 (2022) - [i24]Feng Zhou, Tao Chen, Baiying Lei:
Cross-Subject Emotion Recognition with Sparsely-Labeled Peripheral Physiological Data Using SHAP-Explained Tree Ensembles. CoRR abs/2211.02923 (2022) - 2021
- [j81]Cheng Zhao, Bei Xia, Weiling Chen, Libao Guo, Jie Du, Tianfu Wang, Baiying Lei:
Multi-scale wavelet network algorithm for pediatric echocardiographic segmentation via hierarchical feature guided fusion. Appl. Soft Comput. 107: 107386 (2021) - [j80]Guanghui Yue, Jinqi Liao, Yongjun Wang, Liangge He, Tianfu Wang, Guangqian Zhou, Baiying Lei:
Quality evaluation of induced pluripotent stem cell colonies by fusing multi-source features. Comput. Methods Programs Biomed. 208: 106235 (2021) - [j79]Jong Yih Kuo, Hao-Ting Chung, Ping-Feng Wang, Baiying Lei:
Building Student Course Performance Prediction Model Based on Deep Learning. J. Inf. Sci. Eng. 37(1): 243-257 (2021) - [j78]Huisi Wu, Xuheng Lu, Baiying Lei, Zhenkun Wen:
Automated left ventricular segmentation from cardiac magnetic resonance images via adversarial learning with multi-stage pose estimation network and co-discriminator. Medical Image Anal. 68: 101891 (2021) - [j77]Xuegang Song, Feng Zhou, Alejandro F. Frangi, Jiuwen Cao, Xiaohua Xiao, Yi Lei, Tianfu Wang, Baiying Lei:
Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction. Medical Image Anal. 69: 101947 (2021) - [j76]Huisi Wu, Wei Wang, Jiafu Zhong, Baiying Lei, Zhenkun Wen, Jing Qin:
SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation. Medical Image Anal. 70: 102025 (2021) - [j75]Hai Xie, Xianlu Zeng, Haijun Lei, Jie Du, Jiantao Wang, Guoming Zhang, Jiuwen Cao, Tianfu Wang, Baiying Lei:
Cross-attention multi-branch network for fundus diseases classification using SLO images. Medical Image Anal. 71: 102031 (2021) - [j74]Libao Guo, Baiying Lei, Weiling Chen, Jie Du, Alejandro F. Frangi, Jing Qin, Cheng Zhao, Pengpeng Shi, Bei Xia, Tianfu Wang:
Dual attention enhancement feature fusion network for segmentation and quantitative analysis of paediatric echocardiography. Medical Image Anal. 71: 102042 (2021) - [j73]Baiying Lei, Nina Cheng, Alejandro F. Frangi, Yichen Wei, Bihan Yu, Lingyan Liang, Wei Mai, Gaoxiong Duan, Xiucheng Nong, Chong Li, Jiahui Su, Tianfu Wang, Lihua Zhao, Demao Deng, Zhiguo Zhang:
Auto-weighted centralised multi-task learning via integrating functional and structural connectivity for subjective cognitive decline diagnosis. Medical Image Anal. 74: 102248 (2021) - [j72]Baiying Lei, Xianlu Zeng, Shan Huang, Rugang Zhang, Guozhen Chen, Jinfeng Zhao, Tianfu Wang, Jiantao Wang, Guoming Zhang:
Automated detection of retinopathy of prematurity by deep attention network. Multim. Tools Appl. 80(30): 36341-36360 (2021) - [j71]Cheng Zhao, Tianfu Wang, Baiying Lei:
Medical image fusion method based on dense block and deep convolutional generative adversarial network. Neural Comput. Appl. 33(12): 6595-6610 (2021) - [j70]Shuqiang Wang, Xiangyu Wang, Yong Hu, Yanyan Shen, Zhile Yang, Min Gan, Baiying Lei:
Diabetic Retinopathy Diagnosis Using Multichannel Generative Adversarial Network With Semisupervision. IEEE Trans Autom. Sci. Eng. 18(2): 574-585 (2021) - [j69]Peng Yang, Feng Zhou, Dong Ni, Yanwu Xu, Siping Chen, Tianfu Wang, Baiying Lei:
Fused Sparse Network Learning for Longitudinal Analysis of Mild Cognitive Impairment. IEEE Trans. Cybern. 51(1): 233-246 (2021) - [j68]Xuegang Song, Haimei Li, Wenwen Gao, Yue Chen, Tianfu Wang, Guolin Ma, Baiying Lei:
Augmented Multicenter Graph Convolutional Network for COVID-19 Diagnosis. IEEE Trans. Ind. Informatics 17(9): 6499-6509 (2021) - [j67]Haijun Lei, Shaomin Liu, Ahmed Elazab, Xuehao Gong, Baiying Lei:
Attention-Guided Multi-Branch Convolutional Neural Network for Mitosis Detection From Histopathological Images. IEEE J. Biomed. Health Informatics 25(2): 358-370 (2021) - [j66]Yongtao Zhang, Haimei Li, Jie Du, Jing Qin, Tianfu Wang, Yue Chen, Bing Liu, Wenwen Gao, Guolin Ma, Baiying Lei:
3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification. IEEE Trans. Medical Imaging 40(6): 1618-1631 (2021) - [j65]Jiuwen Cao, Haozhen Dai, Baiying Lei, Chun Yin, Huanqiang Zeng, Anton Kummert:
Maximum Correntropy Criterion-Based Hierarchical One-Class Classification. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3748-3754 (2021) - [c114]Yafeng Li, Yiyao Liu, Tianfu Wang, Baiying Lei:
Alzheimer's Disease Prediction via the Association of Single Nucleotide Polymorphism with Brain Regions. CCBR 2021: 102-111 - [c113]Zhiwei Chen, Wenqiang Luo, Qi Zhang, Baiying Lei, Tianfu Wang, Zhong Chen, Yuan Fu, Peidong Guo, Changchuan Li, Teng Ma, Yue Ding, Jiang Liu:
Osteoporosis Diagnosis Based on Ultrasound Radio Frequency Signal via Multi-channel Convolutional Neural Network. EMBC 2021: 832-835 - [c112]Zihao Chen, Haijun Lei, Zhongwei Huang, Baiying Lei:
Latent Space Learning and Feature Learning using Multi-template for Multi-classification of Alzheimer's Disease. EMBC 2021: 1844-1847 - [c111]Yiyao Liu, Yi Yang, Wei Jiang, Tianfu Wang, Baiying Lei:
3D Deep Attentive U-Net with Transformer for Breast Tumor Segmentation from Automated Breast Volume Scanner. EMBC 2021: 4011-4014 - [c110]Minsi Chen, Cheng Zhao, Xiaoxian Tian, Yujian Liu, Tianfu Wang, Baiying Lei:
Placental Super Micro-vessels Segmentation Based on ResNeXt with Convolutional Block Attention and U-Net. EMBC 2021: 4015-4018 - [c109]Yiyao Liu, Yi Yang, Wei Jiang, Tianfu Wang, Baiying Lei:
Semi-supervised Attention-Guided VNet for Breast Cancer Detection via Multi-task Learning. ICIG (2) 2021: 559-570 - [c108]Xinglie Wang, Jinqi Liao, Guanghui Yue, Liangge He, Mingzhu Li, Enmin Liang, Tianfu Wang, Guangqian Zhou, Baiying Lei:
Semi-supervised Yolo Network for Induced Pluripotent Stem Cells Detection. ICIG (2) 2021: 797-808 - [c107]Weixin Liu, Haijun Lei, Hai Xie, Benjian Zhao, Baiying Lei:
Unsupervised Domain Adaptation Based Image Synthesis and Synergistic Adversarial Learning for Optic Disc and Cup Segmentation. ICME 2021: 1-6 - [c106]Shaobin Chen, Rugang Zhang, Guozhen Chen, Jinfeng Zhao, Tianfu Wang, Guoming Zhang, Baiying Lei:
Attention-guided Deep Multi-instance Learning for Staging Retinopathy of Prematurity. ISBI 2021: 1025-1028 - [c105]Cheng Zhao, Bei Xia, Libao Guo, Jie Du, Weiling Chen, Tianfu Wang, Baiying Lei:
Multi-scale Wavelet Network Algorithm for Pediatric Echocardiographic Segmentation via Feature Fusion. ISBI 2021: 1402-1405 - [c104]Yali Qiu, Shuangzhi Yu, Yanhong Zhou, Dongdong Liu, Xuegang Song, Tianfu Wang, Baiying Lei:
Multi-channel Sparse Graph Transformer Network for Early Alzheimer's Disease Identification. ISBI 2021: 1794-1797 - [c103]Yun Zhu, Xuegang Song, Yali Qiu, Chen Zhao, Baiying Lei:
Structure and Feature Based Graph U-Net for Early Alzheimer's Disease Prediction. ML-CDS@MICCAI 2021: 93-104 - [c102]Yafeng Li, Yiyao Liu, Tianfu Wang, Baiying Lei:
A Method for Predicting Alzheimer's Disease Based on the Fusion of Single Nucleotide Polymorphisms and Magnetic Resonance Feature Extraction. ML-CDS@MICCAI 2021: 105-115 - [c101]Zhihui Tian, Haijun Lei, Hai Xie, Xianlu Zeng, Xinyu Zhao, Miaohong Chen, Guoming Zhang, Baiying Lei:
Dual-Branch Attention Network and Atrous Spatial Pyramid Pooling for Diabetic Retinopathy Classification Using Ultra-Widefield Images. OMIA@MICCAI 2021: 119-128 - [c100]Youyi Song, Lequan Yu, Baiying Lei, Kup-Sze Choi, Jing Qin:
Selective Learning from External Data for CT Image Segmentation. MICCAI (1) 2021: 420-430 - [c99]Mohammad Hamghalam, Alejandro F. Frangi, Baiying Lei, Amber L. Simpson:
Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-modal Glioma Segmentation. MICCAI (7) 2021: 442-452 - [c98]Bowen Hu, Baiying Lei, Yanyan Shen, Yong Liu, Shuqiang Wang:
A Point Cloud Generative Model via Tree-Structured Graph Convolutions for 3D Brain Shape Reconstruction. PRCV (2) 2021: 263-274 - [c97]Junren Pan, Baiying Lei, Yanyan Shen, Yong Liu, Zhiguang Feng, Shuqiang Wang:
Characterization Multimodal Connectivity of Brain Network by Hypergraph GAN for Alzheimer's Disease Analysis. PRCV (3) 2021: 467-478 - [c96]Qiankun Zuo, Baiying Lei, Yanyan Shen, Yong Liu, Zhiguang Feng, Shuqiang Wang:
Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer's Disease Prediction. PRCV (3) 2021: 479-490 - [c95]Zhuo Xiang, Cheng Zhao, Libao Guo, Yali Qiu, Yun Zhu, Peng Yang, Wei Xiong, Mingzhu Li, Minsi Chen, Tianfu Wang, Baiying Lei:
Multi-directional Attention Network for Segmentation of Pediatric Echocardiographic. PRCV (3) 2021: 502-512 - [i23]Wei Wang, Xiang-Gen Xia, Chuanjiang He, Zemin Ren, Jian Lu, Tianfu Wang, Baiying Lei:
A New Weighting Scheme for Fan-beam and Circle Cone-beam CT Reconstructions. CoRR abs/2101.01886 (2021) - [i22]Mohammad Hamghalam, Alejandro F. Frangi, Baiying Lei, Amber L. Simpson:
Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation. CoRR abs/2107.03442 (2021) - [i21]Bowen Hu, Baiying Lei, Yanyan Shen, Yong Liu, Shuqiang Wang:
A Point Cloud Generative Model via Tree-Structured Graph Convolutions for 3D Brain Shape Reconstruction. CoRR abs/2107.09923 (2021) - [i20]Qiankun Zuo, Baiying Lei, Yanyan Shen, Yong Liu, Zhiguang Feng, Shuqiang Wang:
Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer's Disease Prediction. CoRR abs/2107.09928 (2021) - [i19]Junren Pan, Baiying Lei, Yanyan Shen, Yong Liu, Zhiguang Feng, Shuqiang Wang:
Characterization Multimodal Connectivity of Brain Network by Hypergraph GAN for Alzheimer's Disease Analysis. CoRR abs/2107.09953 (2021) - [i18]Bowen Hu, Baiying Lei, Yong Liu, Min Gan, Bingchuan Wang, Shuqiang Wang:
3D Brain Reconstruction by Hierarchical Shape-Perception Network from a Single Incomplete Image. CoRR abs/2107.11010 (2021) - [i17]Junren Pan, Baiying Lei, Shuqiang Wang, Bingchuan Wang, Yong Liu, Yanyan Shen:
DecGAN: Decoupling Generative Adversarial Network detecting abnormal neural circuits for Alzheimer's disease. CoRR abs/2110.05712 (2021) - [i16]Qiankun Zuo, Baiying Lei, Shuqiang Wang, Yong Liu, Bingchuan Wang, Yanyan Shen:
A Prior Guided Adversarial Representation Learning and Hypergraph Perceptual Network for Predicting Abnormal Connections of Alzheimer's Disease. CoRR abs/2110.09302 (2021) - [i15]Wen Yu, Baiying Lei, Yanyan Shen, Shuqiang Wang, Yong Liu, Zhiguang Feng, Yong Hu, Michael K. Ng:
Morphological feature visualization of Alzheimer's disease via Multidirectional Perception GAN. CoRR abs/2111.12886 (2021) - 2020
- [j64]Yongjun Wang, Baiying Lei, Ahmed Elazab, Ee-Leng Tan, Wei Wang, Fanglin Huang, Xuehao Gong, Tianfu Wang:
Breast Cancer Image Classification via Multi-Network Features and Dual-Network Orthogonal Low-Rank Learning. IEEE Access 8: 27779-27792 (2020) - [j63]Yujin Hu, Bei Xia, Muyi Mao, Zelong Jin, Jie Du, Libao Guo, Alejandro F. Frangi, Baiying Lei, Tianfu Wang:
AIDAN: An Attention-Guided Dual-Path Network for Pediatric Echocardiography Segmentation. IEEE Access 8: 29176-29187 (2020) - [j62]Zhen Yu, Feng Jiang, Feng Zhou, Xinzi He, Dong Ni, Siping Chen, Tianfu Wang, Baiying Lei:
Convolutional descriptors aggregation via cross-net for skin lesion recognition. Appl. Soft Comput. 92: 106281 (2020) - [j61]Feng Zhou, Areen Alsaid, Mike Blommer, Reates Curry, Radhakrishnan Swaminathan, Dev S. Kochhar, Walter Talamonti, Louis Tijerina, Baiying Lei:
Driver fatigue transition prediction in highly automated driving using physiological features. Expert Syst. Appl. 147: 113204 (2020) - [j60]Feng Zhou, Shu Kong, Charless C. Fowlkes, Tao Chen, Baiying Lei:
Fine-grained facial expression analysis using dimensional emotion model. Neurocomputing 392: 38-49 (2020) - [j59]Baiying Lei, Yujia Zhao, Zhongwei Huang, Xiaoke Hao, Feng Zhou, Ahmed Elazab, Jing Qin, Haijun Lei:
Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis. Medical Image Anal. 61: 101632 (2020) - [j58]Baiying Lei, Nina Cheng, Alejandro F. Frangi, Ee-Leng Tan, Jiuwen Cao, Peng Yang, Ahmed Elazab, Jie Du, Yanwu Xu, Tianfu Wang:
Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease. Medical Image Anal. 61: 101652 (2020) - [j57]Fanglin Huang, Ee-Leng Tan, Peng Yang, Shan Huang, Le Ou-Yang, Jiuwen Cao, Tianfu Wang, Baiying Lei:
Self-weighted adaptive structure learning for ASD diagnosis via multi-template multi-center representation. Medical Image Anal. 63: 101662 (2020) - [j56]Baiying Lei, Zaimin Xia, Feng Jiang, Xudong Jiang, Zongyuan Ge, Yanwu Xu, Jie Du, Siping Chen, Tianfu Wang, Shuqiang Wang:
Skin lesion segmentation via generative adversarial networks with dual discriminators. Medical Image Anal. 64: 101716 (2020) - [j55]Baiying Lei, Shan Huang, Hang Li, Ran Li, Cheng Bian, Yi-Hong Chou, Jie Du, Peng Zhou, Xuehao Gong, Jie-Zhi Cheng:
Self-co-attention neural network for anatomy segmentation in whole breast ultrasound. Medical Image Anal. 64: 101753 (2020) - [j54]Baiying Lei, Feng Jiang, Feng Zhou, Dong Ni, Yuan Yao, Siping Chen, Tianfu Wang:
Hybrid descriptor for placental maturity grading. Multim. Tools Appl. 79(29-30): 21223-21239 (2020) - [j53]Mohammad Hamghalam, Tianfu Wang, Baiying Lei:
High tissue contrast image synthesis via multistage attention-GAN: Application to segmenting brain MR scans. Neural Networks 132: 43-52 (2020) - [j52]Ahmed Elazab, Changmiao Wang, Syed Jamal Safdar Gardezi, Hongmin Bai, Qingmao Hu, Tianfu Wang, Chunqi Chang, Baiying Lei:
GP-GAN: Brain tumor growth prediction using stacked 3D generative adversarial networks from longitudinal MR Images. Neural Networks 132: 321-332 (2020) - [j51]Hai Xie, Haijun Lei, Xianlu Zeng, Yejun He, Guozhen Chen, Ahmed Elazab, Guanghui Yue, Jiantao Wang, Guoming Zhang, Baiying Lei:
AMD-GAN: Attention encoder and multi-branch structure based generative adversarial networks for fundus disease detection from scanning laser ophthalmoscopy images. Neural Networks 132: 477-490 (2020) - [j50]Baiying Lei, Mengya Yang, Peng Yang, Feng Zhou, Wen Hou, Wenbin Zou, Xia Li, Tianfu Wang, Xiaohua Xiao, Shuqiang Wang:
Deep and joint learning of longitudinal data for Alzheimer's disease prediction. Pattern Recognit. 102: 107247 (2020) - [j49]Wei Wang, Xiang-Gen Xia, Chuanjiang He, Zemin Ren, Jian Lu, Tianfu Wang, Baiying Lei:
An End-to-End Deep Network for Reconstructing CT Images Directly From Sparse Sinograms. IEEE Trans. Computational Imaging 6: 1548-1560 (2020) - [j48]Jinbao Dong, Shengfeng Liu, Yimei Liao, Huaxuan Wen, Baiying Lei, Shengli Li, Tianfu Wang:
A Generic Quality Control Framework for Fetal Ultrasound Cardiac Four-Chamber Planes. IEEE J. Biomed. Health Informatics 24(4): 931-942 (2020) - [j47]Yang Li, Jingyu Liu, Zhenyu Tang, Baiying Lei:
Deep Spatial-Temporal Feature Fusion From Adaptive Dynamic Functional Connectivity for MCI Identification. IEEE Trans. Medical Imaging 39(9): 2818-2830 (2020) - [c94]Mohammad Hamghalam, Baiying Lei, Tianfu Wang:
High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Segmentation. AAAI 2020: 4067-4074 - [c93]Ahmed Elazab, Changmiao Wang, Syed Jamal Safdar Gardezi, Hongmin Bai, Tianfu Wang, Baiying Lei, Chunqi Chang:
Glioma Growth Prediction via Generative Adversarial Learning from Multi-Time Points Magnetic Resonance Images. EMBC 2020: 1750-1753 - [c92]Yingpeng Xie, Qiwei Wan, Hai Xie, Baiying Lei, Ee-Leng Tan, Yanwu Xu:
Semi-Supervised GANs with Complementary Generator Pair for Retinopathy Screening. ICPR 2020: 4821-4828 - [c91]Zhongwei Huang, Haijun Lei, Shiqi Li, Xiaohua Xiao, Ee-Leng Tan, Baiying Lei:
Longitudinal Feature Selection and Feature Learning for Parkinson's Disease Diagnosis and Prediction. ICPR 2020: 5736-5743 - [c90]Mohammad Hamghalam, Tianfu Wang, Jie Du, Baiying Lei:
Transforming Intensity Distribution of Brain Lesions Via Conditional Gans for Segmentation. ISBI 2020: 1-4 - [c89]Dongdong Liu, Yanwu Xu, Ahmed Elazab, Peng Yang, Wei Wang, Tianfu Wang, Baiying Lei:
Longitudinal Analysis of Mild Cognitive Impairment via Sparse Smooth Network and Attention-Based Stacked Bi-Directional Long-Short Term Memory. ISBI 2020: 1-4 - [c88]Zaimin Xia, Guanghui Yue, Yanwu Xu, Chiyu Feng, Mengya Yang, Tianfu Wang, Baiying Lei:
A Novel End-to-End Hybrid Network for Alzheimer's Disease Detection Using 3D CNN and 3D CLSTM. ISBI 2020: 1-4 - [c87]Yongtao Zhang, Baiying Lei, Chao Fu, Jie Du, Xinjian Zhu, Xiaowei Han, Lei Du, Wenwen Gao, Tianfu Wang, Guolin Ma:
HBNet: Hybrid Blocks Network for Segmentation of Gastric Tumor from Ordinary CT Images. ISBI 2020: 1-4 - [c86]Youyi Song, Zhen Yu, Teng Zhou, Jeremy Yuen-Chun Teoh, Baiying Lei, Kup-Sze Choi, Jing Qin:
CNN in CT Image Segmentation: Beyond Loss Function for Exploiting Ground Truth Images. ISBI 2020: 325-328 - [c85]Enmin Liang, Ahmed Elazab, Shuang Liang, Qiong Wang, Tianfu Wang, Baiying Lei:
Walking Imagery Evaluation Based on Multi-view Features and Stacked Denoising Auto-encoder Network. ISBI 2020: 1896-1899 - [c84]Nina Cheng, Alejandro Frangi, Zhiguo Zhang, Denao Deng, Lihua Zhao, Tianfu Wang, Yichen Wei, Bihan Yu, Wei Mai, Gaoxiong Duan, Xiucheng Nong, Chong Li, Jiahui Su, Baiying Lei:
Self-weighted Multi-task Learning for Subjective Cognitive Decline Diagnosis. MICCAI (7) 2020: 104-113 - [c83]Weixin Liu, Haijun Lei, Hai Xie, Benjian Zhao, Guanghui Yue, Baiying Lei:
Multi-level Light U-Net and Atrous Spatial Pyramid Pooling for Optic Disc Segmentation on Fundus Image. OMIA@MICCAI 2020: 104-113 - [c82]Xuegang Song, Alejandro F. Frangi, Xiaohua Xiao, Jiuwen Cao, Tianfu Wang, Baiying Lei:
Integrating Similarity Awareness and Adaptive Calibration in Graph Convolution Network to Predict Disease. MICCAI (7) 2020: 124-133 - [c81]Rugang Zhang, Jinfeng Zhao, Guozhen Chen, Hai Xie, Guanghui Yue, Tianfu Wang, Guoming Zhang, Baiying Lei:
An Automated Aggressive Posterior Retinopathy of Prematurity Diagnosis System by Squeeze and Excitation Hierarchical Bilinear Pooling Network. OMIA@MICCAI 2020: 165-174 - [c80]Benjian Zhao, Haijun Lei, Xianlu Zeng, Jiuwen Cao, Hai Xie, Guanghui Yue, Jiantao Wang, Guoming Zhang, Baiying Lei:
Weakly-Supervised Lesion-Aware and Consistency Regularization for Retinitis Pigmentosa Detection from Ultra-Widefield Images. OMIA@MICCAI 2020: 175-184 - [c79]Youyi Song, Zhen Yu, Teng Zhou, Jeremy Yuen-Chun Teoh, Baiying Lei, Kup-Sze Choi, Jing Qin:
Learning 3D Features with 2D CNNs via Surface Projection for CT Volume Segmentation. MICCAI (4) 2020: 176-186 - [c78]Zihao Chen, Haijun Lei, Yujia Zhao, Zhongwei Huang, Xiaohua Xiao, Yi Lei, Ee-Leng Tan, Baiying Lei:
Template-Oriented Multi-task Sparse Low-Rank Learning for Parkinson's Diseases Diagnosis. PRIME@MICCAI 2020: 178-187 - [c77]Shuangzhi Yu, Shuqiang Wang, Xiaohua Xiao, Jiuwen Cao, Guanghui Yue, Dongdong Liu, Tianfu Wang, Yanwu Xu, Baiying Lei:
Multi-scale Enhanced Graph Convolutional Network for Early Mild Cognitive Impairment Detection. MICCAI (7) 2020: 228-237 - [c76]Peng Yang, Qiong Yang, Wei Zheng, Li Shen, Tianfu Wang, Ziwen Peng, Baiying Lei:
Spatial Similarity-Aware Learning and Fused Deep Polynomial Network for Detection of Obsessive-Compulsive Disorder. MICCAI (7) 2020: 603-612 - [c75]Youyi Song, Lei Zhu, Baiying Lei, Bin Sheng, Qi Dou, Jing Qin, Kup-Sze Choi:
Shape Mask Generator: Learning to Refine Shape Priors for Segmenting Overlapping Cervical Cytoplasms. MICCAI (4) 2020: 639-649 - [c74]Shengye Hu, Yanyan Shen, Shuqiang Wang, Baiying Lei:
Brain MR to PET Synthesis via Bidirectional Generative Adversarial Network. MICCAI (2) 2020: 698-707 - [i14]Wei Wang, Xiang-Gen Xia, Chuanjiang He, Zemin Ren, Jian Lu, Tianfu Wang, Baiying Lei:
A deep network for sinogram and CT image reconstruction. CoRR abs/2001.07150 (2020) - [i13]Youyi Song, Zhen Yu, Teng Zhou, Jeremy Yuen-Chun Teoh, Baiying Lei, Kup-Sze Choi, Jing Qin:
CNN in CT Image Segmentation: Beyound Loss Function for Expoliting Ground Truth Images. CoRR abs/2004.03882 (2020) - [i12]Youyi Song, Lei Zhu, Baiying Lei, Bin Sheng, Qi Dou, Jing Qin, Kup-Sze Choi:
Constrained Multi-shape Evolution for Overlapping Cytoplasm Segmentation. CoRR abs/2004.03892 (2020) - [i11]Mohammad Hamghalam, Baiying Lei, Tianfu Wang:
High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Glioma Segmentation. CoRR abs/2006.05030 (2020) - [i10]Feng Zhou, Tao Chen, Baiying Lei:
Do not forget interaction: Predicting fatality of COVID-19 patients using logistic regression. CoRR abs/2006.16942 (2020) - [i9]Wen Yu, Baiying Lei, Michael K. Ng, Albert C. Cheung, Yanyan Shen, Shuqiang Wang:
Tensorizing GAN with High-Order Pooling for Alzheimer's Disease Assessment. CoRR abs/2008.00748 (2020) - [i8]Shengye Hu, Baiying Lei, Yong Wang, Zhiguang Feng, Yanyan Shen, Shuqiang Wang:
Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesis. CoRR abs/2008.03483 (2020) - [i7]Wei Wang, Xiang-Gen Xia, Chuanjiang He, Zemin Ren, Jian Lu, Tianfu Wang, Baiying Lei:
A model-guided deep network for limited-angle computed tomography. CoRR abs/2008.03988 (2020) - [i6]Shuqiang Wang, Zhuo Chen, Wen Yu, Baiying Lei:
Brain Stroke Lesion Segmentation Using Consistent Perception Generative Adversarial Network. CoRR abs/2008.13109 (2020) - [i5]Mohammad Hamghalam, Baiying Lei, Tianfu Wang:
Convolutional 3D to 2D Patch Conversion for Pixel-wise Glioma Segmentation in MRI Scans. CoRR abs/2010.10612 (2020) - [i4]Senrong You, Yong Liu, Baiying Lei, Shuqiang Wang:
Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain. CoRR abs/2011.04145 (2020)
2010 – 2019
- 2019
- [j46]Chiyu Feng, Ahmed El-Azab, Peng Yang, Tianfu Wang, Feng Zhou, Huoyou Hu, Xiaohua Xiao, Baiying Lei:
Deep Learning Framework for Alzheimer's Disease Diagnosis via 3D-CNN and FSBi-LSTM. IEEE Access 7: 63605-63618 (2019) - [j45]Jinfeng Zhao, Baiying Lei, Zhenquan Wu, Yinsheng Zhang, Yafeng Li, Li Wang, Ruyin Tian, Yi Chen, Dahui Ma, Jiantao Wang, Tianfu Wang, Guozhen Chen, Jian Zeng, Guoming Zhang:
A Deep Learning Framework for Identifying Zone I in RetCam Images. IEEE Access 7: 103530-103537 (2019) - [j44]Ahmed El-Azab, Ahmed M. Anter, Hongmin Bai, Qingmao Hu, Zakir Hussain, Dong Ni, Tianfu Wang, Baiying Lei:
An optimized generic cerebral tumor growth modeling framework by coupling biomechanical and diffusive models with treatment effects. Appl. Soft Comput. 80: 617-627 (2019) - [j43]Hai Xie, Haijun Lei, Yejun He, Baiying Lei:
Deeply supervised full convolution network for HEp-2 specimen image segmentation. Neurocomputing 351: 77-86 (2019) - [j42]Zehui Lin, Shengli Li, Dong Ni, Yimei Liao, Huaxuan Wen, Jie Du, Siping Chen, Tianfu Wang, Baiying Lei:
Multi-task learning for quality assessment of fetal head ultrasound images. Medical Image Anal. 58 (2019) - [j41]Baiying Lei, Xin Zhao, Haijun Lei, Dong Ni, Siping Chen, Feng Zhou, Tianfu Wang:
Multipurpose watermarking scheme via intelligent method and chaotic map. Multim. Tools Appl. 78(19): 27085-27107 (2019) - [j40]Zhen Yu, Xudong Jiang, Feng Zhou, Jing Qin, Dong Ni, Siping Chen, Baiying Lei, Tianfu Wang:
Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features. IEEE Trans. Biomed. Eng. 66(4): 1006-1016 (2019) - [j39]Le Ou-Yang, Xiao-Fei Zhang, Xing-Ming Zhao, Debby Dan Wang, Fu Lee Wang, Baiying Lei, Hong Yan:
Joint Learning of Multiple Differential Networks With Latent Variables. IEEE Trans. Cybern. 49(9): 3494-3506 (2019) - [j38]Hang Li, Xinzi He, Feng Zhou, Zhen Yu, Dong Ni, Siping Chen, Tianfu Wang, Baiying Lei:
Dense Deconvolutional Network for Skin Lesion Segmentation. IEEE J. Biomed. Health Informatics 23(2): 527-537 (2019) - [j37]Haijun Lei, Yuting Wen, Zhuhong You, Ahmed El-Azab, Ee-Leng Tan, Yujia Zhao, Baiying Lei:
Protein-Protein Interactions Prediction via Multimodal Deep Polynomial Network and Regularized Extreme Learning Machine. IEEE J. Biomed. Health Informatics 23(3): 1290-1303 (2019) - [j36]Haijun Lei, Zhongwei Huang, Feng Zhou, Ahmed El-Azab, Ee-Leng Tan, Hancong Li, Jing Qin, Baiying Lei:
Parkinson's Disease Diagnosis via Joint Learning From Multiple Modalities and Relations. IEEE J. Biomed. Health Informatics 23(4): 1437-1449 (2019) - [j35]Baiying Lei, Peng Yang, Yinan Zhuo, Feng Zhou, Dong Ni, Siping Chen, Xiaohua Xiao, Tianfu Wang:
Neuroimaging Retrieval via Adaptive Ensemble Manifold Learning for Brain Disease Diagnosis. IEEE J. Biomed. Health Informatics 23(4): 1661-1673 (2019) - [j34]Yang Li, Hao Yang, Baiying Lei, Jingyu Liu, Chong-Yaw Wee:
Novel Effective Connectivity Inference Using Ultra-Group Constrained Orthogonal Forward Regression and Elastic Multilayer Perceptron Classifier for MCI Identification. IEEE Trans. Medical Imaging 38(5): 1227-1239 (2019) - [j33]Youyi Song, Ee-Leng Tan, Xudong Jiang, Jie-Zhi Cheng, Baiying Lei, Tianfu Wang:
Corrections to "Accurate Cervical Cell Segmentation From Overlapping Clumps in Pap Smear Images". IEEE Trans. Medical Imaging 38(6): 1543 (2019) - [j32]Youyi Song, Lei Zhu, Jing Qin, Baiying Lei, Bin Sheng, Kup-Sze Choi:
Segmentation of Overlapping Cytoplasm in Cervical Smear Images via Adaptive Shape Priors Extracted From Contour Fragments. IEEE Trans. Medical Imaging 38(12): 2849-2862 (2019) - [c73]Mohammad Hamghalam, Baiying Lei, Tianfu Wang:
Convolutional 3D to 2D Patch Conversion for Pixel-Wise Glioma Segmentation in MRI Scans. BrainLes@MICCAI (1) 2019: 3-12 - [c72]Mohammad Hamghalam, Baiying Lei, Tianfu Wang:
Brain Tumor Synthetic Segmentation in 3D Multimodal MRI Scans. BrainLes@MICCAI (1) 2019: 153-162 - [c71]Hai Xie, Yejun He, Haijun Lei, Jong Yih Kuo, Baiying Lei:
Segmentation Guided HEp-2 Cell Classification with Adversarial Networks. ComComAP 2019: 374-379 - [c70]Haijun Lei, Shaomin Liu, Hai Xie, Jong Yih Kuo, Baiying Lei:
An Improved Object Detection Method for Mitosis Detection. EMBC 2019: 130-133 - [c69]Nina Cheng, Ahmed El-Azab, Peng Yang, Dongdong Liu, Shuangzhi Yu, Tianfu Wang, Baiying Lei:
Low Rank Self-calibrated Brain Network Estimation and Autoweighted Centralized Multi-Task Learning for Early Mild Cognitive Impairment Diagnosis. EMBC 2019: 185-188 - [c68]Mengya Yang, Ahmed El-Azab, Peng Yang, Zaimin Xia, Tianfu Wang, Baiying Lei:
Joint and Long Short-Term Memory Regression of Clinical Scores for Alzheimer's Disease Using Longitudinal Data. EMBC 2019: 281-284 - [c67]Rian Huang, Jiajun Liang, Feng Jiang, Feng Zhou, Nina Cheng, Tianfu Wang, Baiying Lei:
MelanomaNet: An Effective Network for Melanoma Detection. EMBC 2019: 1613-1616 - [c66]Yujin Hu, Libao Guo, Baiying Lei, Muyi Mao, Zelong Jin, Ahmed Elazab, Bei Xia, Tianfu Wang:
Fully Automatic Pediatric Echocardiography Segmentation Using Deep Convolutional Networks Based on BiSeNet. EMBC 2019: 6561-6564 - [c65]Yongjun Wang, Fanglin Huang, Yongtao Zhang, Rugang Zhang, Baiying Lei, Tianfu Wang:
Breast Cancer Image Classification via Multi-level Dual-network Features and Sparse Multi-Relation Regularized Learning. EMBC 2019: 7023-7026 - [c64]Meng Yang, Qin Zhong, Lin Chen, Fanglin Huang, Baiying Lei:
Attention Based Semi-Supervised Dictionary Learning for Diagnosis of Autism Spectrum Disorders. ICME Workshops 2019: 7-12 - [c63]Youyi Song, Jing Qin, Baiying Lei, Shengfeng He, Kup-Sze Choi:
JOint Shape Matching for Overlapping Cytoplasm Segmentation in Cervical Smear Images. ISBI 2019: 191-194 - [c62]Shiqi Li, Haijun Lei, Feng Zhou, Jamal Gardezi, Baiying Lei:
Longitudinal and Multi-modal Data Learning for Parkinson's Disease Diagnosis via Stacked Sparse Auto-encoder. ISBI 2019: 384-387 - [c61]Feng Jiang, Feng Zhou, Jing Qin, Tianfu Wang, Baiying Lei:
Decision-Augmented Generative Adversarial Network for Skin Lesion Segmentation. ISBI 2019: 447-450 - [c60]Hang Li, Jie-Zhi Cheng, Yi-Hong Chou, Jing Qin, Shan Huang, Baiying Lei:
AttentionNet: Learning Where to Focus via Attention Mechanism for Anatomical Segmentation of Whole Breast Ultrasound Images. ISBI 2019: 1078-1081 - [c59]Fanglin Huang, Ahmed El-Azab, Le Ou-Yang, Joseph Tan, Tianfu Wang, Baiying Lei:
Sparse Low-rank Constrained Adaptive Structure Learning using Multi-template for Autism Spectrum Disorder Diagnosis. ISBI 2019: 1555-1558 - [c58]Xin Zhao, Feng Zhou, Le Ou-Yang, Tianfu Wang, Baiying Lei:
Graph Convolutional Network Analysis for Mild Cognitive Impairment Prediction. ISBI 2019: 1598-1601 - [c57]Zhongwei Huang, Haijun Lei, Guoliang Chen, Shiqi Li, Hancong Li, Ahmed El-Azab, Baiying Lei:
Unsupervised Feature Selection via Adaptive Embedding and Sparse Learning for Parkinson's Disease Diagnosis. CNI@MICCAI 2019: 1-9 - [c56]Chiyu Feng, Lili Jin, Chuangyong Xu, Peng Yang, Tianfu Wang, Baiying Lei, Ziwen Peng:
Deep Learning via Fused Bidirectional Attention Stacked Long Short-Term Memory for Obsessive-Compulsive Disorder Diagnosis and Risk Screening. PRIME@MICCAI 2019: 34-43 - [c55]Jiajun Liang, Rian Huang, Peiyao Kong, Shengli Li, Tianfu Wang, Baiying Lei:
SPRNet: Automatic Fetal Standard Plane Recognition Network for Ultrasound Images. SUSI/PIPPI@MICCAI 2019: 38-46 - [c54]Shuangzhi Yu, Guanghui Yue, Ahmed Elazab, Xuegang Song, Tianfu Wang, Baiying Lei:
Multi-scale Graph Convolutional Network for Mild Cognitive Impairment Detection. GLMI@MICCAI 2019: 79-87 - [c53]Libao Guo, Yujin Hu, Baiying Lei, Jie Du, Muyi Mao, Zelong Jin, Bei Xia, Tianfu Wang:
Dual Network Generative Adversarial Networks for Pediatric Echocardiography Segmentation. SUSI/PIPPI@MICCAI 2019: 113-122 - [c52]Haijun Lei, Yujia Zhao, Baiying Lei:
Predicting Early Stages of Neurodegenerative Diseases via Multi-task Low-Rank Feature Learning. MICCAI (4) 2019: 131-139 - [c51]Haijun Lei, Hancong Li, Ahmed Elazab, Xuegang Song, Zhongwei Huang, Baiying Lei:
Diagnosis of Parkinson's Disease in Genetic Cohort Patients via Stage-Wise Hierarchical Deep Polynomial Ensemble Learning. PRIME@MICCAI 2019: 142-150 - [c50]Peng Yang, Lili Jin, Chuangyong Xu, Tianfu Wang, Baiying Lei, Ziwen Peng:
OCD Diagnosis via Smoothing Sparse Network and Stacked Sparse Auto-Encoder Learning. GLMI@MICCAI 2019: 155-163 - [c49]Rugang Zhang, Jinfeng Zhao, Guozhen Chen, Tianfu Wang, Guoming Zhang, Baiying Lei:
Aggressive Posterior Retinopathy of Prematurity Automated Diagnosis via a Deep Convolutional Network. OMIA@MICCAI 2019: 165-172 - [c48]Guozhen Chen, Jinfeng Zhao, Rugang Zhang, Tianfu Wang, Guoming Zhang, Baiying Lei:
Automated Stage Analysis of Retinopathy of Prematurity Using Joint Segmentation and Multi-instance Learning. OMIA@MICCAI 2019: 173-181 - [c47]Yingpeng Xie, Qiwei Wan, Guozhen Chen, Yanwu Xu, Baiying Lei:
Retinopathy Diagnosis Using Semi-supervised Multi-channel Generative Adversarial Network. OMIA@MICCAI 2019: 182-190 - [c46]Fanglin Huang, Peng Yang, Shan Huang, Le Ou-Yang, Tianfu Wang, Baiying Lei:
Multi-template Based Auto-Weighted Adaptive Structural Learning for ASD Diagnosis. MLMI@MICCAI 2019: 516-524 - [i3]Mohammad Hamghalam, Baiying Lei, Tianfu Wang:
Brain Tumor Synthetic Segmentation in 3D Multimodal MRI Scans. CoRR abs/1909.13640 (2019) - [i2]Xinzi He, Baiying Lei, Tianfu Wang:
SANet: Superpixel Attention Network for Skin Lesion Attributes Detection. CoRR abs/1910.08995 (2019) - 2018
- [j31]Mohamad Mahmoud Al Rahhal, Mohamed Lamine Mekhalfi, Mawloud Guermoui, Esam Othman, Baiying Lei, Awais Mahmood:
A Dense Phase Descriptor for Human Ear Recognition. IEEE Access 6: 11883-11887 (2018) - [j30]Ahmed El-Azab, Yousry M. AbdulAzeem, Ahmed M. Anter, Qingmao Hu, Tianfu Wang, Baiying Lei:
Macroscopic Cerebral Tumor Growth Modeling From Medical Images: A Review. IEEE Access 6: 30663-30679 (2018) - [j29]Baiying Lei, Shan Huang, Ran Li, Cheng Bian, Hang Li, Yi-Hong Chou, Jie-Zhi Cheng:
Segmentation of breast anatomy for automated whole breast ultrasound images with boundary regularized convolutional encoder-decoder network. Neurocomputing 321: 178-186 (2018) - [j28]Haijun Lei, Tao Han, Feng Zhou, Zhen Yu, Jing Qin, Ahmed El-Azab, Baiying Lei:
A deeply supervised residual network for HEp-2 cell classification via cross-modal transfer learning. Pattern Recognit. 79: 290-302 (2018) - [j27]Jing Li, Yi Wang, Baiying Lei, Jie-Zhi Cheng, Jing Qin, Tianfu Wang, Shengli Li, Dong Ni:
Automatic Fetal Head Circumference Measurement in Ultrasound Using Random Forest and Fast Ellipse Fitting. IEEE J. Biomed. Health Informatics 22(1): 215-223 (2018) - [j26]Zhen Yu, Ee-Leng Tan, Dong Ni, Jing Qin, Siping Chen, Shengli Li, Baiying Lei, Tianfu Wang:
A Deep Convolutional Neural Network-Based Framework for Automatic Fetal Facial Standard Plane Recognition. IEEE J. Biomed. Health Informatics 22(3): 874-885 (2018) - [c45]Youyi Song, Jing Qin, Baiying Lei, Kup-Sze Choi:
Automated Segmentation of Overlapping Cytoplasm in Cervical Smear Images via Contour Fragments. AAAI 2018: 168-175 - [c44]Ahmed El-Azab, Hongmin Bai, Mengya Yang, Qingmao Hu, Minh Hung Le, Tianfu Wang, Baiying Lei:
A Coupled Modified Reaction Diffusion and Biomechanical Models for Cerebral Tumor Growth Modeling in Presence of Treatment. EMBC 2018: 758-761 - [c43]Mengya Yang, Peng Yang, Ahmed El-Azab, Wen Hou, Xia Li, Tianfu Wang, Wenbin Zou, Baiying Lei:
Join and Deep Ensemble Regression of Clinical Scores for Alzheimer's Disease Using Longitudinal and Incomplete Data*. EMBC 2018: 1254-1257 - [c42]Hang Li, Xinzi He, Zhen Yu, Feng Zhou, Jie-Zhi Cheng, Limin Huang, Tianfu Wang, Baiying Lei:
Skin Lesion Segmentation via Dense Connected Deconvolutional Network. ICPR 2018: 671-675 - [c41]Hai Xie, Yejun He, Haijun Lei, Tao Han, Zhen Yu, Baiying Lei:
Deeply Supervised Residual Network for HEp-2 Cell Classification. ICPR 2018: 699-703 - [c40]Haijun Lei, Yujia Zhao, Zhongwei Huang, Feng Zhou, Limin Huang, Baiying Lei:
Multi-classification of Parkinson's Disease via Sparse Low-Rank Learning. ICPR 2018: 3268-3272 - [c39]Zhongwei Huang, Haijun Lei, Yujia Zhao, Feng Zhou, Jin Yan, Ahmed El-Azab, Baiying Lei:
Longitudinal and multi-modal data learning for Parkinson's disease diagnosis. ISBI 2018: 1411-1414 - [c38]Na Wang, Yi Wang, Huifang Wang, Baiying Lei, Tianfu Wang, Dong Ni:
Auto-context fully convolutional network for levator hiatus segmentation in ultrasoudn images. ISBI 2018: 1479-1482 - [c37]Feng Jiang, Dong Ni, Siping Chen, Yuan Yao, Minh Hung Le, Tianfu Wang, Baiying Lei:
Placental maturity grading via hybrid descriptors based on fisher vector. ISBI 2018: 1517-1520 - [c36]Zehui Lin, Minh Hung Le, Dong Ni, Siping Chen, Shengli Li, Tianfu Wang, Baiying Lei:
Quality Assessment of Fetal Head Ultrasound Images Based on Faster R-CNN. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI 2018: 38-46 - [c35]Chiyu Feng, Ahmed El-Azab, Peng Yang, Tianfu Wang, Baiying Lei, Xiaohua Xiao:
3D Convolutional Neural Network and Stacked Bidirectional Recurrent Neural Network for Alzheimer's Disease Diagnosis. PRIME@MICCAI 2018: 138-146 - [c34]Peiyao Kong, Dong Ni, Siping Chen, Shengli Li, Tianfu Wang, Baiying Lei:
Automatic and Efficient Standard Plane Recognition in Fetal Ultrasound Images via Multi-scale Dense Networks. DATRA/PIPPI@MICCAI 2018: 160-168 - [c33]Haijun Lei, Zhongwei Huang, Ahmed El-Azab, Hancong Li, Baiying Lei:
Longitudinal and Multi-modal Data Learning via Joint Embedding and Sparse Regression for Parkinson's Disease Diagnosis. MLMI@MICCAI 2018: 310-318 - [c32]Haijun Lei, Yujia Zhao, Baiying Lei:
Multi-task Sparse Low-Rank Learning for Multi-classification of Parkinson's Disease. DLMIA/ML-CDS@MICCAI 2018: 361-368 - [i1]Feng Zhou, Shu Kong, Charless C. Fowlkes, Tao Chen, Baiying Lei:
Fine-Grained Facial Expression Analysis Using Dimensional Emotion Model. CoRR abs/1805.01024 (2018) - 2017
- [j25]Feng Zhou, Bai Ying Lei, Yitao Liu, Roger Jianxin Jiao:
Affective parameter shaping in user experience prospect evaluation based on hierarchical Bayesian estimation. Expert Syst. Appl. 78: 1-15 (2017) - [j24]Haijun Lei, Zhongwei Huang, Jian Zhang, Zhang Yang, Ee-Leng Tan, Feng Zhou, Bai Ying Lei:
Joint detection and clinical score prediction in Parkinson's disease via multi-modal sparse learning. Expert Syst. Appl. 80: 284-296 (2017) - [j23]Feng Zhou, Roger Jianxin Jiao, Xi Jessie Yang, Bai Ying Lei:
Augmenting feature model through customer preference mining by hybrid sentiment analysis. Expert Syst. Appl. 89: 306-317 (2017) - [j22]Bai Ying Lei, Ee-Leng Tan, Siping Chen, Wanjun Li, Dong Ni, Yuan Yao, Tianfu Wang:
Automatic placental maturity grading via hybrid learning. Neurocomputing 223: 86-102 (2017) - [j21]Bai Ying Lei, Yingxia Liu, Changfeng Dong, Xin Chen, Xinyu Zhang, Xian-Fen Diao, Guilin Yang, Jing Liu, Simin Yao, Hanying Li, Jing Yuan, Shaxi Li, Xiaohua Le, Yimin Lin, Wen Zeng:
Assessment of liver fibrosis in chronic hepatitis B via multimodal data. Neurocomputing 253: 169-176 (2017) - [j20]Bai Ying Lei, Wanjun Li, Yuan Yao, Xudong Jiang, Ee-Leng Tan, Jing Qin, Siping Chen, Dong Ni, Tianfu Wang:
Multi-modal and multi-layout discriminative learning for placental maturity staging. Pattern Recognit. 63: 719-730 (2017) - [j19]Bai Ying Lei, Peng Yang, Tianfu Wang, Siping Chen, Dong Ni:
Relational-Regularized Discriminative Sparse Learning for Alzheimer's Disease Diagnosis. IEEE Trans. Cybern. 47(4): 1102-1113 (2017) - [j18]Lingyun Wu, Jie-Zhi Cheng, Shengli Li, Bai Ying Lei, Tianfu Wang, Dong Ni:
FUIQA: Fetal Ultrasound Image Quality Assessment With Deep Convolutional Networks. IEEE Trans. Cybern. 47(5): 1336-1349 (2017) - [j17]Youyi Song, Liang He, Feng Zhou, Siping Chen, Dong Ni, Bai Ying Lei, Tianfu Wang:
Segmentation, Splitting, and Classification of Overlapping Bacteria in Microscope Images for Automatic Bacterial Vaginosis Diagnosis. IEEE J. Biomed. Health Informatics 21(4): 1095-1104 (2017) - [j16]Youyi Song, Ee-Leng Tan, Xudong Jiang, Jie-Zhi Cheng, Dong Ni, Siping Chen, Bai Ying Lei, Tianfu Wang:
Accurate Cervical Cell Segmentation from Overlapping Clumps in Pap Smear Images. IEEE Trans. Medical Imaging 36(1): 288-300 (2017) - [j15]Sihong Chen, Jing Qin, Xing Ji, Bai Ying Lei, Tianfu Wang, Dong Ni, Jie-Zhi Cheng:
Automatic Scoring of Multiple Semantic Attributes With Multi-Task Feature Leverage: A Study on Pulmonary Nodules in CT Images. IEEE Trans. Medical Imaging 36(3): 802-814 (2017) - [c31]Bai Ying Lei, Xin Zhao, Dong Ni, Siping Chen, Tianfu Wang:
Longitudinal analysis for mild cognitive impairment identification via fused group learning with smooth regularization. ISBI 2017: 85-88 - [c30]Zhen Yu, Dong Ni, Siping Chen, Jing Qin, Shengli Li, Tianfu Wang, Bai Ying Lei:
Hybrid dermoscopy image classification framework based on deep convolutional neural network and Fisher vector. ISBI 2017: 301-304 - [c29]Wen Hou, Bai Ying Lei, Wenbin Zou, Xia Li, Cishen Zhang:
Ensemble prediction of longitudinal scores of Alzheimer's disease based on ℓ2, 1-norm regularized correntropy with spatial-temporal constraint. ISBI 2017: 891-894 - [c28]Haijun Lei, Jian Zhang, Zhang Yang, Ee-Leng Tan, Bai Ying Lei, Qiuming Luo:
Joint detection and clinical score prediction in Parkinson's disease via multi-modal sparse learning. ISBI 2017: 1231-1234 - [c27]Xiaolu Liu, Shuang Liang, Wenlong Hang, Baiying Lei, Qiong Wang, Jing Qin, Kup-Sze Choi:
Performance Evaluation of Walking Imagery Training Based on Virtual Environment in Brain-Computer Interfaces. ISM 2017: 25-30 - [c26]Haijun Lei, Yujia Zhao, Yuting Wen, Baiying Lei:
Adaptive Sparse Learning for Neurodegenerative Disease Classification. ISM 2017: 292-295 - [c25]Haijun Lei, Tao Han, Weifeng Huang, Jong Yih Kuo, Zhen Yu, Xinzi He, Baiying Lei:
Cross-Modal Transfer Learning for HEp-2 Cell Classification Based on Deep Residual Network. ISM 2017: 465-468 - [c24]Jong Yih Kuo, Chia Wei Pan, Baiying Lei:
Using Stacked Denoising Autoencoder for the Student Dropout Prediction. ISM 2017: 483-488 - [c23]Zhen Yu, Xudong Jiang, Tianfu Wang, Bai Ying Lei:
Aggregating Deep Convolutional Features for Melanoma Recognition in Dermoscopy Images. MLMI@MICCAI 2017: 238-246 - [c22]Xinzi He, Zhen Yu, Tianfu Wang, Baiying Lei:
Skin Lesion Segmentation via Deep RefineNet. DLMIA/ML-CDS@MICCAI 2017: 303-311 - 2016
- [j14]Baiying Lei, Man-Wai Mak:
Robust scream sound detection via sound event partitioning. Multim. Tools Appl. 75(11): 6071-6089 (2016) - [j13]Feng Zhou, Roger J. Jiao, Bai Ying Lei:
Bilevel Game-Theoretic Optimization for Product Adoption Maximization Incorporating Social Network Effects. IEEE Trans. Syst. Man Cybern. Syst. 46(8): 1047-1060 (2016) - [c21]Zhen Yu, Dong Ni, Siping Chen, Shengli Li, Tianfu Wang, Bai Ying Lei:
Fetal facial standard plane recognition via very deep convolutional networks. EMBC 2016: 627-630 - [c20]Wanjun Li, Yuan Yao, Dong Ni, Siping Chen, Bai Ying Lei, Tianfu Wang:
Placental maturity evaluation via feature fusion and discriminative learning. ISBI 2016: 783-786 - [c19]Yinan Zhuo, Dong Ni, Siping Chen, Bai Ying Lei, Tianfu Wang:
Adaptive ensemble manifold learning for neuroimaging retrieval. ISBI 2016: 859-862 - [c18]Youyi Song, Jie-Zhi Cheng, Dong Ni, Siping Chen, Bai Ying Lei, Tianfu Wang:
Segmenting overlapping cervical cell in Pap smear images. ISBI 2016: 1159-1162 - [c17]Sihong Chen, Dong Ni, Jing Qin, Bai Ying Lei, Tianfu Wang, Jie-Zhi Cheng:
Bridging Computational Features Toward Multiple Semantic Features with Multi-task Regression: A Study of CT Pulmonary Nodules. MICCAI (2) 2016: 53-60 - [c16]Dong Ni, Xing Ji, Yaozong Gao, Jie-Zhi Cheng, Huifang Wang, Jing Qin, Bai Ying Lei, Tianfu Wang, Guorong Wu, Dinggang Shen:
Automatic Cystocele Severity Grading in Ultrasound by Spatio-Temporal Regression. MICCAI (2) 2016: 247-255 - 2015
- [j12]Feng Zhou, Roger Jianxin Jiao, Bai Ying Lei:
A linear threshold-hurdle model for product adoption prediction incorporating social network effects. Inf. Sci. 307: 95-109 (2015) - [j11]Bai Ying Lei, Ee-Leng Tan, Siping Chen, Dong Ni, Tianfu Wang:
Saliency-driven image classification method based on histogram mining and image score. Pattern Recognit. 48(8): 2567-2580 (2015) - [j10]Bai Ying Lei, Feng Zhou, Ee-Leng Tan, Dong Ni, Haijun Lei, Siping Chen, Tianfu Wang:
Optimal and secure audio watermarking scheme based on self-adaptive particle swarm optimization and quaternion wavelet transform. Signal Process. 113: 80-94 (2015) - [j9]Youyi Song, Ling Zhang, Siping Chen, Dong Ni, Bai Ying Lei, Tianfu Wang:
Accurate Segmentation of Cervical Cytoplasm and Nuclei Based on Multiscale Convolutional Network and Graph Partitioning. IEEE Trans. Biomed. Eng. 62(10): 2421-2433 (2015) - [c15]Wanjun Li, Dong Ni, Siping Chen, Bai Ying Lei, Tianfu Wang, Yuan Yao, Shengli Li:
Discriminative learning for automatic staging of placental maturity via multi-layer fisher vector. ICICS 2015: 1-5 - [c14]Yinan Zhuo, Dong Ni, Siping Chen, Bai Ying Lei, Tianfu Wang, Haijun Lei:
Multipurpose and intelligent watermarking scheme for medical data. ICICS 2015: 1-5 - [c13]Bai Ying Lei, Siping Chen, Dong Ni, Tianfu Wang:
Joint Learning of Multiple Longitudinal Prediction Models by Exploring Internal Relations. MLMI 2015: 330-337 - 2014
- [j8]Bai Ying Lei, Ee-Leng Tan, Siping Chen, Dong Ni, Tianfu Wang, Haijun Lei:
Reversible watermarking scheme for medical image based on differential evolution. Expert Syst. Appl. 41(7): 3178-3188 (2014) - [j7]Baiying Lei, Shah Atiqur Rahman, Insu Song:
Content-based classification of breath sound with enhanced features. Neurocomputing 141: 139-147 (2014) - [c12]Youyi Song, Ling Zhang, Siping Chen, Dong Ni, Baopu Li, Yongjing Zhou, Baiying Lei, Tianfu Wang:
A deep learning based framework for accurate segmentation of cervical cytoplasm and nuclei. EMBC 2014: 2903-2906 - [c11]Baiying Lei, Xinyao Li, Yuan Yao, Shengli Li, Siping Chen, Yongjin Zhou, Dong Ni, Tianfu Wang:
Automatic grading of placental maturity based on LIOP and fisher vector. EMBC 2014: 4671-4674 - [c10]Youyi Song, Dong Ni, Liang He, Siping Chen, Bai Ying Lei, Tianfu Wang:
Segmentation and Splitting of Touching Vaginal Bacteria Based on Superpixel and Effective Distance. ICDM Workshops 2014: 976-981 - [c9]Baiying Lei, Man-Wai Mak:
Sound-event partitioning and feature normalization for robust sound-event detection. DSP 2014: 389-394 - [c8]Bai Ying Lei, Liu Zhuo, Siping Chen, Shengli Li, Dong Ni, Tianfu Wang:
Automatic recognition of fetal standard plane in ultrasound image. ISBI 2014: 85-88 - 2013
- [j6]Baiying Lei, Insu Song, Shah Atiqur Rahman:
Robust and secure watermarking scheme for breath sound. J. Syst. Softw. 86(6): 1638-1649 (2013) - [j5]Bai Ying Lei, Ing Yann Soon, Ee-Leng Tan:
Robust SVD-Based Audio Watermarking Scheme With Differential Evolution Optimization. IEEE Trans. Speech Audio Process. 21(11): 2368-2378 (2013) - [c7]Bai Ying Lei, Tianfu Wang, Siping Chen, Dong Ni, Haijun Lei:
Robust watermarking scheme for medical image using optimization method. ICICS 2013: 1-4 - [c6]Bai Ying Lei, Tianfu Wang, Siping Chen, Dong Ni, Haijun Lei:
Object recognition based on adapative bag of feature and discriminative learning. ICIP 2013: 3390-3393 - 2012
- [j4]Bai Ying Lei, Ing Yann Soon:
A multipurpose audio watermarking algorithm with synchronization and encryption. J. Zhejiang Univ. Sci. C 13(1): 11-19 (2012) - [j3]Bai Ying Lei, Ing Yann Soon, Feng Zhou, Zhen Li, Haijun Lei:
A robust audio watermarking scheme based on lifting wavelet transform and singular value decomposition. Signal Process. 92(9): 1985-2001 (2012) - [c5]Baiying Lei, Insu Song, Shah Atiqur Rahman:
Optimal watermarking scheme for breath sound. IJCNN 2012: 1-6 - [c4]Bai Ying Lei, Vrizlynn L. L. Thing, Yu Chen, Wee-Yong Lim:
Logo Classification with Edge-Based DAISY Descriptor. ISM 2012: 222-228 - 2011
- [j2]Bai Ying Lei, Ing Yann Soon, Zhen Li:
Blind and robust audio watermarking scheme based on SVD-DCT. Signal Process. 91(8): 1973-1984 (2011) - [c3]Bai Ying Lei, Ing Yann Soon, Zhen Li, Peng Dai:
A particle swarm optimization based audio watermarking scheme. ICICS 2011: 1-4 - [c2]Zhen Li, Kim-Hui Yap, Bai Ying Lei:
A new blind robust image watermarking scheme in SVD-DCT composite domain. ICIP 2011: 2757-2760 - [c1]Bai Ying Lei, Ing Yann Soon, Zhen Li:
A Robust Audio Watermarking Scheme Based on Lifting Wavelet Transform and Singular Value Decomposition. IWDW 2011: 86-96
2000 – 2009
- 2007
- [j1]Baiying Lei, Wenguang Jin, Jiwei Hu, Xiaodong Zhang:
Embedded Software Optimization for AVS-P7 Decoder Real-time Implementation on RISC Core. IEEE Trans. Consumer Electron. 53(3): 1204-1210 (2007)
Coauthor Index
Ahmed El-Azab
aka: Ahmed Elazab
aka: Ahmed Elazab
Alejandro F. Frangi
aka: Alejandro Frangi
aka: Alejandro Frangi
[c160] [c156] [c155] [j117] [j115] [j114] [c150] [c149] [c148] [c147] [c146] [c145] [c142] [c139] [c137] [c134] [c132] [j104] [j103] [j101] [j88] [j83] [c126] [c124] [c123] [c121] [c118] [j75] [j67] [c112] [c107] [c101] [j59] [j51] [c91] [c83] [c80] [c78] [j43] [j41] [j37] [j36] [c71] [c70] [c62] [c57] [c52] [c51] [j28] [c41] [c40] [c39] [c33] [c32] [j24] [c28] [c26] [c25] [j10] [c14] [j8] [c7] [c6] [j3]
[j143] [j140] [j137] [j136] [j135] [j134] [j132] [j125] [j124] [j121] [c159] [c158] [c157] [c154] [c153] [c152] [j119] [j118] [j117] [j113] [j112] [j111] [j108] [j107] [c144] [c143] [c141] [c140] [c139] [c136] [c135] [j102] [j100] [j99] [j98] [j96] [j95] [j92] [j91] [c122] [c119] [c117] [c116] [j81] [j80] [j77] [j75] [j74] [j73] [j72] [j71] [j69] [j68] [j66] [c114] [c113] [c111] [c110] [c109] [c108] [c106] [c105] [c104] [c102] [c95] [i23] [j64] [j63] [j62] [j58] [j57] [j56] [j54] [j53] [j52] [j50] [j49] [j48] [c94] [c93] [c90] [c89] [c88] [c87] [c85] [c84] [c82] [c81] [c77] [c76] [i14] [i11] [i7] [i5] [j46] [j45] [j44] [j42] [j41] [j40] [j38] [j35] [j33] [c73] [c72] [c69] [c68] [c67] [c66] [c65] [c61] [c59] [c58] [c56] [c55] [c54] [c53] [c50] [c49] [c48] [c46] [i3] [i2] [j30] [j27] [j26] [c44] [c43] [c42] [c38] [c37] [c36] [c35] [c34] [j22] [j20] [j19] [j18] [j17] [j16] [j15] [c31] [c30] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [j11] [j10] [j9] [c15] [c14] [c13] [j8] [c12] [c11] [c10] [c8] [c7] [c6]
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