Abstract is missing.
- Continual-GEN: Continual Group Ensembling for Domain-agnostic Skin Lesion ClassificationNourhan Bayasi, Siyi Du, Ghassan Hamarneh, Rafeef Garbi. 3-13 [doi]
- Communication-Efficient Federated Skin Lesion Classification with Generalizable Dataset DistillationYuchen Tian, Jiacheng Wang 0002, Yueming Jin, Liansheng Wang. 14-24 [doi]
- AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation DatasetsSiyi Du, Nourhan Bayasi, Ghassan Hamarneh, Rafeef Garbi. 25-36 [doi]
- Test-Time Selection for Robust Skin Lesion AnalysisAlceu Bissoto, Catarina Barata, Eduardo Valle, Sandra Avila. 37-46 [doi]
- Global and Local Explanations for Skin Cancer Diagnosis Using PrototypesCarlos Santiago, Miguel Correia, Maria Rita Verdelho, Alceu Bissoto, Catarina Barata. 47-56 [doi]
- Evidence-Driven Differential Diagnosis of Malignant MelanomaNaren Akash R. J, Anirudh Kaushik, Jayanthi Sivaswamy. 57-66 [doi]
- An Interpretable Machine Learning Model with Deep Learning-Based Imaging Biomarkers for Diagnosis of Alzheimer's DiseaseWenjie Kang, Bo Li 0088, Janne M. Papma, Lize C. Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, Jurgen A. H. R. Claassen, Huub A. M. Middelkoop, Wiesje M. van der Flier, Inez H. G. B. Ramakers, Stefan Klein 0001, Esther E. Bron. 69-78 [doi]
- Generating Chinese Radiology Reports from X-Ray Images: A Public Dataset and an X-ray-to-Reports Generation MethodWen Tang, Chenhao Pei, Pengxin Yu, Huan Zhang, Xiangde Min, Cancan Chen, Han Kang, Weixin Xu, Rongguo Zhang. 79-88 [doi]
- Gradient Self-alignment in Private Deep LearningDavid Bani-Harouni, Tamara T. Mueller, Daniel Rueckert, Georgios Kaissis. 89-97 [doi]
- Cellular Features Based Interpretable Network for Classifying Cell-Of-Origin from Whole Slide Images for Diffuse Large B-cell Lymphoma PatientsQiangqiang Gu, Nazim Shaikh, Ping-Chang Lin, Srinath Jayachandran, Prasanna Porwal, Xiao Li, Yao Nie. 98-106 [doi]
- Multimodal Learning for Improving Performance and Explainability of Chest X-Ray ClassificationSara Ketabi, Pranav Agnihotri, Hamed Zakeri, Khashayar Namdar, Farzad Khalvati. 107-116 [doi]
- Cross-Task Attention Network: Improving Multi-task Learning for Medical Imaging ApplicationsSangwook Kim, Thomas G. Purdie, Chris McIntosh. 119-128 [doi]
- Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation ModelYizhe Zhang 0001, Tao Zhou, Shuo Wang, Peixian Liang, Yejia Zhang, Danny Z. Chen. 129-139 [doi]
- Empirical Analysis of a Segmentation Foundation Model in Prostate ImagingHeejong Kim, Victor Ion Butoi, Adrian V. Dalca, Mert R. Sabuncu. 140-150 [doi]
- GPT4MIA: Utilizing Generative Pre-trained Transformer (GPT-3) as a Plug-and-Play Transductive Model for Medical Image AnalysisYizhe Zhang, Danny Z. Chen. 151-160 [doi]
- SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital PathologyJingwei Zhang, Ke Ma 0005, Saarthak Kapse, Joel H. Saltz, Maria Vakalopoulou, Prateek Prasanna, Dimitris Samaras. 161-170 [doi]
- Multi-task Cooperative Learning via Searching for Flat MinimaFuping Wu, Le Zhang 0005, Yang Sun, Yuanhan Mo, Thomas Nichols, Bartlomiej W. Papiez. 171-181 [doi]
- MAP: Domain Generalization via Meta-Learning on Anatomy-Consistent Pseudo-ModalitiesDewei Hu, Hao Li, Han Liu, Xing Yao, Jiacheng Wang 0007, Ipek Oguz. 182-192 [doi]
- A General Computationally-Efficient 3D Reconstruction Pipeline for Multiple Images with Point CloudsQingyang Wu, Yiqing Shen 0003, Jing Ke. 193-202 [doi]
- GPC: Generative and General Pathology Image ClassifierAnh Tien Nguyen, Jin Tae Kwak. 203-212 [doi]
- Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ SegmentationJulio Silva-Rodríguez, Jose Dolz, Ismail Ben Ayed. 213-224 [doi]
- Concept Bottleneck with Visual Concept Filtering for Explainable Medical Image ClassificationInjae Kim, Jongha Kim, Joonmyung Choi, Hyunwoo J. Kim. 225-233 [doi]
- SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptationan Wang, Mobarakol Islam, Mengya Xu, Yang Zhang, Hongliang Ren 0001. 234-244 [doi]
- Evaluation and Improvement of Segment Anything Model for Interactive Histopathology Image SegmentationSeungkyu Kim, Hyun-Jic Oh, Seonghui Min, Won-Ki Jeong. 245-255 [doi]
- Task-Driven Prompt Evolution for Foundation ModelsRachana Sathish, Rahul Venkataramani, K. S. Shriram, Prasad Sudhakar. 256-264 [doi]
- Generalizing Across Domains in Diabetic Retinopathy via Variational AutoencodersSharon Chokuwa, Muhammad Haris Khan. 265-274 [doi]
- CEmb-SAM: Segment Anything Model with Condition Embedding for Joint Learning from Heterogeneous DatasetsDongik Shin, Beomsuk Kim, Seungjun Baek. 275-284 [doi]
- Histopathological Image Analysis with Style-Augmented Feature Domain Mixing for Improved GeneralizationVaibhav Khamankar, Sutanu Bera, Saumik Bhattacharya, Debashis Sen, Prabir Kumar Biswas. 285-294 [doi]
- DISBELIEVE: Distance Between Client Models Is Very Essential for Effective Local Model Poisoning AttacksIndu Joshi, Priyank Upadhya, Gaurav Kumar Nayak, Peter Schüffler, Nassir Navab. 297-310 [doi]
- ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated DataPochuan Wang, Chen Shen 0002, Weichung Wang, Masahiro Oda, Chiou-Shann Fuh, Kensaku Mori, Holger R. Roth. 311-321 [doi]
- Validation of Federated Unlearning on Collaborative Prostate SegmentationYann Fraboni, Lucia Innocenti, Michela Antonelli, Richard Vidal, Laetitia Kameni, Sébastien Ourselin, Marco Lorenzi. 322-333 [doi]
- Federated Model Aggregation via Self-supervised Priors for Highly Imbalanced Medical Image ClassificationMarawan Elbatel, Hualiang Wang, Robert Martí, Huazhu Fu, Xiaomeng Li 0001. 334-346 [doi]
- FedAutoMRI: Federated Neural Architecture Search for MR Image ReconstructionRuoyou Wu, Cheng Li, Juan Zou, Shanshan Wang. 347-356 [doi]
- Fed-CoT: Co-teachers for Federated Semi-supervised MS Lesion SegmentationGeng Zhan, Jiajun Deng, Mariano Cabezas, Wanli Ouyang, Michael Barnett 0006, Chenyu Wang 0001. 357-366 [doi]
- SplitFed Resilience to Packet Loss: Where to Split, that is the QuestionChamani Shiranthika, Zahra Hafezi Kafshgari, Parvaneh Saeedi, Ivan V. Bajic. 367-377 [doi]