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ORCID27th MICCAI 2024: Marrakesh, Morocco - Part I
- Marius George Linguraru
, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15001, Springer 2024, ISBN 978-3-031-72377-3
Clinical Applications - Abdomen
- Wenyao Xia, Victoria Fan, Terry M. Peters, Elvis C. S. Chen:
A New Benchmark In Vivo Paired Dataset for Laparoscopic Image De-smoking. 3-13 - Michelle Espranita Liman, Daniel Rueckert, Florian J. Fintelmann, Philip Müller:
Diffusion-Based Generative Image Outpainting for Recovery of FOV-Truncated CT Images. 14-23 - Yu-Cheng Chou, Zongwei Zhou, Alan L. Yuille:
Embracing Massive Medical Data. 24-35 - Yuxiang Lai, Xiaoxi Chen, Angtian Wang, Alan L. Yuille, Zongwei Zhou:
From Pixel to Cancer: Cellular Automata in Computed Tomography. 36-46 - Hao Li, Xiangyu Zhai, Jie Xue, Changming Gu, Baolong Tian, Tingxuan Hong, Bin Jin, Dengwang Li, Pu Huang:
Multi-frequency and Smoke Attention-Aware Learning Based Diffusion Model for Removing Surgical Smoke. 47-56 - Xiaogen Zhon, Yiyou Sun, Min Deng, Winnie Chiu Wing Chu, Qi Dou:
Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration. 57-67 - Peng Huang, Shu Hu, Bo Peng, Jiashu Zhang, Xi Wu, Xin Wang:
Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection. 68-78 - Jingwen Xu, Ye Zhu, Fei Lyu, Grace Lai-Hung Wong, Pong C. Yuen:
Temporal Neighboring Multi-modal Transformer with Missingness-Aware Prompt for Hepatocellular Carcinoma Prediction. 79-88
Clinical Applications - Breast
- Mingkang Wang, Tong Wang, Fengyu Cong, Cheng Lu, Hongming Xu:
Double-Tier Attention Based Multi-label Learning Network for Predicting Biomarkers from Whole Slide Images of Breast Cancer. 91-101 - Kshitiz Jain, Krithika Rangarajan, Chetan Arora:
Follow the Radiologist: Clinically Relevant Multi-view Cues for Breast Cancer Detection from Mammograms. 102-112 - Mahmoud SalahEldin Kasem, Abdelrahman Abdallah, Ibrahim Abdelhalim, Norah Saleh Alghamdi, Sohail Contractor, Ayman El-Baz:
IHRRB-DINO: Identifying High-Risk Regions of Breast Masses in Mammogram Images Using Data-Driven Instance Noise (DINO). 113-122 - Joonil Hwang, Sangjoon Park, NaHyeon Park, Seungryong Cho, Jin Sung Kim:
Improving Cone-Beam CT Image Quality with Knowledge Distillation-Enhanced Diffusion Model in Imbalanced Data Settings. 123-132 - Yuan Gao, Hong-Yu Zhou, Xin Wang, Tianyu Zhang, Luyi Han, Chunyao Lu, Xinglong Liang, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann:
Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-Guided Model. 133-143 - Kshitiz Jain, Aditya Bansal, Krithika Rangarajan, Chetan Arora:
MMBCD: Multimodal Breast Cancer Detection from Mammograms with Clinical History. 144-154 - Xin Wang, Tao Tan, Yuan Gao, Eric Marcus, Luyi Han, Antonio Portaluri, Tianyu Zhang, Chunyao Lu, Xinglong Liang, Regina Beets-Tan, Jonas Teuwen, Ritse Mann:
Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms. 155-165
Clinical Applications - Cardiac
- Jin He, Weizhou Liu, Shifeng Zhao, Yun Tian, Shuo Wang:
Algebraic Sphere Surface Fitting for Accurate and Efficient Mesh Reconstruction from Cine CMR Images. 169-178 - Yuli Wang, Wen-Chi Hsu, Victoria Shi, Gigin Lin, Cheng Ting Lin, Xue Feng, Harrison Bai:
Car-Dcros: A Dataset and Benchmark for Enhancing Cardiovascular Artery Segmentation Through Disconnected Components Repair and Open Curve Snake. 179-189 - Haojun Jiang, Zhenguo Sun, Ning Jia, Meng Li, Yu Sun, Shaqi Luo, Shiji Song, Gao Huang:
Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model. 190-199 - Ronghui Qi, Xiaohu Li, Lei Xu, Jie Zhang, Yanping Zhang, Chenchu Xu:
Cardiac Physiology Knowledge-Driven Diffusion Model for Contrast-Free Synthesis Myocardial Infarction Enhancement. 200-210 - Yiran Li, Xiaoxiao Cui, Yankun Cao, Yuezhong Zhang, Huihui Wang, Lizhen Cui, Zhi Liu, Shuo Li:
CausCLIP: Causality-Adapting Visual Scoring of Visual Language Models for Few-Shot Learning in Portable Echocardiography Quality Assessment. 211-220 - Andrés Felipe Carrera-Pinzón, Leonard Toro-Quitian, Juan Camilo Torres, Alexander Cerón, Wilsón Sarmiento, Arnold Mendez-Toro, Angel Cruz-Roa, R. E. Gutiérrez-Carvajal, Carlos Órtiz Davila, Fabio A. González, Eduardo Romero, Marcela Iregui Guerrero:
Characterizing the Left Ventricular Ultrasound Dynamics in the Frequency Domain to Estimate the Cardiac Function. 221-230 - Yige Yan, Jun Cheng, Xulei Yang, Zaiwang Gu, Shuang Leng, Ru San Tan, Liang Zhong, Jagath C. Rajapakse:
Coarse-Grained Mask Regularization for Microvascular Obstruction Identification from Non-contrast Cardiac Magnetic Resonance. 231-241 - Abhijit Das, Vandan Gorade, Komal Kumar, Snehashis Chakraborty, Dwarikanath Mahapatra, Sudipta Roy:
Confidence-Guided Semi-supervised Learning for Generalized Lesion Localization in X-Ray Images. 242-252 - Shreyas Fadnavis, Chaitanya Parmar, Nastaran Emaminejad, Alvaro Ulloa Cerna, Areez Malik, Mona Selej, Tommaso Mansi, Preston Dunnmon, Tarik Yardibi, Kristopher Standish, Pablo F. Damasceno:
EchoFM: A View-Independent Echocardiogram Model for the Detection of Pulmonary Hypertension. 253-263 - Jiancheng Yang, Ekaterina Sedykh, Jason Ken Adhinarta, Hieu Le, Pascal Fua:
Generating Anatomically Accurate Heart Structures via Neural Implicit Fields. 264-274 - K. M. Arefeen Sultan, Md. Hasibul Husain Hisham, Benjamin A. Orkild, Alan Morris, Eugene G. Kholmovski, Erik Bieging, Eugene Kwan, Ravi Ranjan, Edward V. R. DiBella, Shireen Y. Elhabian:
HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment. 275-284 - Weili Jiang, Yiming Li, Zhang Yi, Jianyong Wang, Mao Chen:
IarCAC: Instance-Aware Representation for Coronary Artery Calcification Segmentation in Cardiac CT Angiography. 285-295 - Mohammod Naimul Islam Suvon, Prasun C. Tripathi, Wenrui Fan, Shuo Zhou, Xianyuan Liu, Samer Alabed, Venet Osmani, Andrew J. Swift, Chen Chen, Haiping Lu:
Multimodal Variational Autoencoder for Low-Cost Cardiac Hemodynamics Instability Detection. 296-306 - Marta Hasny, Omer B. Demirel, Amine Amyar, Shahrooz Faghihroohi, Reza Nezafat:
Myocardial Scar Enhancement in LGE Cardiac MRI Using Localized Diffusion. 307-316 - Mingkun Bao, Yan Wang, Xinlong Wei, Bosen Jia, Xiaolin Fan, Dong Lu, Yifan Gu, Jian Cheng, Yingying Zhang, Chuanyu Wang, Haogang Zhu:
Real-World Visual Navigation for Cardiac Ultrasound View Planning. 317-326 - Ang Nan Gu, Michael Y. Tsang, Hooman Vaseli, Teresa Tsang, Purang Abolmaesumi:
Reliable Multi-view Learning with Conformal Prediction for Aortic Stenosis Classification in Echocardiography. 327-337 - Xinyi Wang, Zikang Xu, Heqin Zhu, Qingsong Yao, Yiyong Sun, S. Kevin Zhou:
SIX-Net: Spatial-Context Information miX-up for Electrode Landmark Detection. 338-348 - Haijun Lei, Guanjie Tong, Huaqiang Su, Baiying Lei:
Weak-Supervised Attention Fusion Network for Carotid Artery Vessel Wall Segmentation. 349-358 - Yundi Zhang, Chen Chen, Suprosanna Shit, Sophie Starck, Daniel Rueckert, Jiazhen Pan:
Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images. 359-369
Clinical Applications - Dermatology
- Faizanuddin Ansari, Tapabrata Chakraborti, Swagatam Das:
Algorithmic Fairness in Lesion Classification by Mitigating Class Imbalance and Skin Tone Bias. 373-382 - Zhiyuan Cai, Tianyunxi Wei, Li Lin, Hao Chen, Xiaoying Tang:
BPaCo: Balanced Parametric Contrastive Learning for Long-Tailed Medical Image Classification. 383-393 - Aayushman, Hemanth Gaddey, Vidhi Mittal, Manisha Chawla, Gagan Raj Gupta:
Fair and Accurate Skin Disease Image Classification by Alignment with Clinical Labels. 394-404 - Zhihang Ren, Yunqi Li, Xinyu Li, Xinrong Xie, Erik P. Duhaime, Kathy Fang, Tapabrata Chakraborti, Yunhui Guo, Stella X. Yu, David Whitney:
SkinCON: Towards Consensus for the Uncertainty of Skin Cancer Sub-typing Through Distribution Regularized Adaptive Predictive Sets (DRAPS). 405-415
Clinical Applications - Fetal Imaging
- Jayroop Ramesh, Nicola K. Dinsdale, Pak-Hei Yeung, Ana I. L. Namburete:
Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos. 419-429 - Manuel Birlo, Razvan Caramalau, Philip J. Edwards, Brian Dromey, Matthew J. Clarkson, Danail Stoyanov:
HUP-3D: A 3D Multi-view Synthetic Dataset for Assisted-Egocentric Hand-Ultrasound-Probe Pose Estimation. 430-436 - Vladyslav Zalevskyi, Thomas Sanchez, Margaux Roulet, Jordina Aviles Verdera, Jana Hutter, Hamza Kebiri, Meritxell Bach Cuadra:
Improving Cross-Domain Brain Tissue Segmentation in Fetal MRI with Synthetic Data. 437-447 - Jianmei Jiang, Huijin Wang, Jieyun Bai, Shun Long, Shuangping Chen, Víctor M. Campello, Karim Lekadir:
Intrapartum Ultrasound Image Segmentation of Pubic Symphysis and Fetal Head Using Dual Student-Teacher Framework with CNN-ViT Collaborative Learning. 448-458
Clinical Applications - Lung
- Naren Akash R. J, Arihanth Tadanki, Jayanthi Sivaswamy:
CheXtriev: Anatomy-Centered Representation for Case-Based Retrieval of Chest Radiographs. 461-471 - Jong Bub Lee, Jung Soo Kim, Hyun Gyu Lee:
COVID19 to Pneumonia: Multi Region Lung Severity Classification Using CNN Transformer Position-Aware Feature Encoding Network. 472-481 - Huaqiang Su, Haijun Lei, Guoliang Chen, Baiying Lei:
Cross-Graph Interaction and Diffusion Probability Models for Lung Nodule Segmentation. 482-492 - Bizhe Bai, Yan-Jie Zhou, Yujian Hu, Tony C. W. Mok, Yilang Xiang, Le Lu, Hongkun Zhang, Minfeng Xu:
Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-contrast CT Scans. 493-503 - Zihao Jin, Yingying Fang, Jiahao Huang, Caiwen Xu, Simon Walsh, Guang Yang:
Diff3Dformer: Leveraging Slice Sequence Diffusion for Enhanced 3D CT Classification with Transformer Networks. 504-513 - Shaoxuan Wu, Xiao Zhang, Bin Wang, Zhuo Jin, Hansheng Li, Jun Feng:
Gaze-Directed Vision GNN for Mitigating Shortcut Learning in Medical Image. 514-524 - Shaonan Liu, Wenting Chen, Jie Liu, Xiaoling Luo, Linlin Shen:
[inline-graphic not available: see fulltext] GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph. 525-535 - Hao Zhang, Mingyue Zhao, Mingzhu Liu, Jiejun Luo, Yu Guan, Jin Zhang, Yi Xia, Di Zhang, Xiuxiu Zhou, Li Fan, Shiyuan Liu, S. Kevin Zhou:
Hierarchical Multiple Instance Learning for COPD Grading with Relatively Specific Similarity. 536-545 - Minghui Zhang, Hanxiao Zhang, Xin You, Guang-Zhong Yang, Yun Gu:
Implicit Representation Embraces Challenging Attributes of Pulmonary Airway Tree Structures. 546-556 - Ariel Hernán Curiale, Raúl San José Estépar:
Lobar Lung Density Embeddings with a Transformer Encoder (LobTe) to Predict Emphysema Progression in COPD. 557-566 - Zhichao Sun, Yuliang Gu, Yepeng Liu, Zerui Zhang, Zhou Zhao, Yongchao Xu:
Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays. 567-577 - Mehrdad Eshraghi Dehaghani, Amirhossein Sabour, Amarachi B. Madu, Ismini Lourentzou, Mehdi Moradi:
Representation Learning with a Transformer-Based Detection Model for Localized Chest X-Ray Disease and Progression Detection. 578-587 - Yuliang Huang, Björn Eiben, Kris Thielemans, Jamie R. McClelland:
Resolving Variable Respiratory Motion From Unsorted 4D Computed Tomography. 588-597 - Ye Zhu, Jingwen Xu, Fei Lyu, Pong C. Yuen:
Symptom Disentanglement in Chest X-Ray Images for Fine-Grained Progression Learning. 598-607
Clinical Applications - Musculoskeletal
- Xin Tang, Zhi Cao, Weijing Zhang, Di Zhao, Hongen Liao, Daoqiang Zhang, Fang Chen:
Follow Sonographers' Visual Scan-Path: Adjusting CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound. 611-620 - Lingyu Chen, Yue Wang, Zhe Zhao, Hongen Liao, Daoqiang Zhang, Haojie Han, Fang Chen:
Hybrid-Structure-Oriented Transformer for Arm Musculoskeletal Ultrasound Segmentation. 621-631 - Xinrui Huang, Dongming He, Zhenming Li, Xiaofan Zhang, Xudong Wang:
IOSSAM: Label Efficient Multi-view Prompt-Driven Tooth Segmentation. 632-642
Clinical Applications - Ophthalmology
- Xingguo Wang, Yuhui Ma, Xinyu Guo, Yalin Zheng, Jiong Zhang, Yonghuai Liu, Yitian Zhao:
A Hyperreflective Foci Segmentation Network for OCT Images with Multi-dimensional Semantic Enhancement. 645-655 - Marawan Elbatel, Konstantinos Kamnitsas, Xiaomeng Li:
An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image Synthesis. 656-666 - Qinkai Yu, Jianyang Xie, Anh Nguyen, He Zhao, Jiong Zhang, Huazhu Fu, Yitian Zhao, Yalin Zheng, Yanda Meng:
CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-Aware Prompting. 667-677 - Tianfeng Zhou, Yukun Zhou:
Enhancing Model Generalisability Through Sampling Diverse and Balanced Retinal Images. 678-688 - Weiyi Zhang, Siyu Huang, Jiancheng Yang, Ruoyu Chen, Zongyuan Ge, Yingfeng Zheng, Danli Shi, Mingguang He:
Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance. 689-699 - Zipei Yan, Zhile Liang, Zhengji Liu, Shuai Wang, Rachel Ka Man Chun, Jizhou Li, Chea-su Kee, Dong Liang:
Generalized Robust Fundus Photography-Based Vision Loss Estimation for High Myopia. 700-710 - Chun-Hsiao Yeh, Jiayun Wang, Andrew D. Graham, Andrea J. Liu, Bo Tan, Yubei Chen, Yi Ma, Meng C. Lin:
Insight: A Multi-modal Diagnostic Pipeline Using LLMs for Ocular Surface Disease Diagnosis. 711-721 - Ruiqi Wu, Chenran Zhang, Jianle Zhang, Yi Zhou, Tao Zhou, Huazhu Fu:
MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise. 722-732 - Yuanyuan Li, Huaying Hao, Dan Zhang, Huazhu Fu, Mengting Liu, Caifeng Shan, Yitian Zhao, Jiong Zhang:
MPMNet: Modal Prior Mutual-Support Network for Age-Related Macular Degeneration Classification. 733-742 - Jianyang Xie, Xiuju Chen, Yitian Zhao, Yanda Meng, He Zhao, Anh Nguyen, Xiaoxin Li, Yalin Zheng:
Multi-disease Detection in Retinal Images Guided by Disease Causal Estimation. 743-753 - Qian Zhou, Hua Zou, Zhongyuan Wang, Haifeng Jiang, Yong Wang:
Refining Intraocular Lens Power Calculation: A Multi-modal Framework Using Cross-Layer Attention and Effective Channel Attention. 754-763 - Wei Dai, Yinghao Yao, Hengte Kong, Zhen Ji Chen, Sheng Wang, Qingshi Bai, Haojun Sun, Yongxin Yang, Jianzhong Su:
RIP-AV: Joint Representative Instance Pre-training with Context Aware Network for Retinal Artery/Vein Segmentation. 764-774 - Xin Tian, Nantheera Anantrasirichai, Lindsay Nicholson, Alin Achim:
TaGAT: Topology-Aware Graph Attention Network for Multi-modal Retinal Image Fusion. 775-784
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