Table of Contents

• Biophysics Informed Pathological Regularisation for Brain Tumour SegmentationLipei Zhang, Yanqi Cheng, Lihao Liu, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero. 3-13 [doi]
• Class-Balancing Deep Active Learning with Auto-Feature Mixing and Minority Push-Pull SamplingHongxin Lin, Chu Zhang, Mingyu Wang, Bin Huang, Jingjing Shao, Jinxiang Zhang, Zhenhua Gao, Xianfen Diao, Bingsheng Huang. 14-22 [doi]
• CoBooM: Codebook Guided Bootstrapping for Medical Image Representation LearningAzad Singh, Deepak Mishra 0003. 23-33 [doi]
• Continual Domain Incremental Learning for Privacy-Aware Digital PathologyPratibha Kumari 0001, Daniel Reisenbüchler, Lucas Luttner, Nadine S. Schaadt, Friedrich Feuerhake, Dorit Merhof. 34-44 [doi]
• Decoupled Training for Semi-supervised Medical Image Segmentation with Worst-Case-Aware LearningAnkit Das, Chandan Gautam, Hisham Cholakkal, Pritee Agrawal, Feng Yang, Ramasamy Savitha, Yong Liu. 45-55 [doi]
• DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image SegmentationXinyu Liu 0001, Wuyang Li, Yixuan Yuan. 56-66 [doi]
• Disentangled Hybrid Transformer for Identification of Infants with Prenatal Drug ExposureJiale Cheng, Zhengwang Wu, Xinrui Yuan, Li Wang 0026, Weili Lin, Karen Grewen, Gang Li. 67-76 [doi]
• Diversified and Structure-Realistic Fundus Image Synthesis for Diabetic Retinopathy Lesion SegmentationXiaoyi Feng, Minqing Zhang, Mengxian He, Mengdi Gao, Hao Wei, Wu Yuan 0001. 77-86 [doi]
• Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving TrendMcKell Woodland, Austin Castelo, Mais Al Taie, Jessica Albuquerque Marques Silva, Mohamed Eltaher, Frank Mohn, Alexander Shieh, Suprateek Kundu, Joshua P. Yung, Ankit B. Patel, Kristy K. Brock. 87-97 [doi]
• Few-Shot Domain Adaptive Object Detection for Microscopic ImagesSumayya Inayat, Nimra Dilawar, Waqas Sultani, Mohsen Ali. 98-108 [doi]
• Few-Shot Lymph Node Metastasis Classification Meets High Performance on Whole Slide Images via the Informative Non-parametric ClassifierYi Li, Qixiang Zhang, Tianqi Xiang 0001, Yiqun Lin, Qingling Zhang 0006, Xiaomeng Li 0001. 109-119 [doi]
• Fine-Grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-Resolution Medical Image ClassificationYijin Huang, Pujin Cheng, Roger C. Tam, Xiaoying Tang 0001. 120-130 [doi]
• FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image AnalysisSantosh Sanjeev, Nuren Zhaksylyk, Ibrahim Almakky, Anees Ur Rehman Hashmi, Mohammad Areeb Qazi, Mohammad Yaqub. 131-141 [doi]
• GBT: Geometric-Oriented Brain Transformer for Autism DiagnosisZhihao Peng 0002, Zhibin He, Yu Jiang, Pengyu Wang 0005, Yixuan Yuan. 142-152 [doi]
• Gradient Guided Co-Retention Feature Pyramid Network for LDCT Image DenoisingLi Zhou, Dayang Wang, Yongshun Xu, Shuo Han 0009, Bahareh Morovati, Shuyi Fan, Hengyong Yu. 153-163 [doi]
• Gyri vs. Sulci: Core-Periphery Organization in Functional Brain NetworksXiaowei Yu, Lu Zhang 0050, Chao Cao, Tong Chen, Yanjun Lyu, Jing Zhang 0010, Tianming Liu 0001, Dajiang Zhu. 164-174 [doi]
• Is This Hard for You? Personalized Human Difficulty Estimation for Skin Lesion DiagnosisPeter Johannes Tejlgaard Kampen, Anders Nymark Christensen, Morten Rieger Hannemose. 175-184 [doi]
• LaB-GATr: Geometric Algebra Transformers for Large Biomedical Surface and Volume MeshesJulian Suk, Baris Imre, Jelmer M. Wolterink. 185-195 [doi]
• Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future RepresentationsTaha Emre, Arunava Chakravarty, Dmitry A. Lachinov, Antoine Rivail, Ursula Schmidt-Erfurth, Hrvoje Bogunovic. 196-206 [doi]
• Leveraging Image Captions for Selective Whole Slide Image AnnotationJingna Qiu, Marc Aubreville, Frauke Wilm, Mathias Öttl, Jonas Utz, Maja Schlereth, Katharina Breininger. 207-217 [doi]
• MEDBind: Unifying Language and Multimodal Medical Data EmbeddingsYuan Gao, Sangwook Kim, David E. Austin, Chris McIntosh. 218-228 [doi]
• MedContext: Learning Contextual Cues for Efficient Volumetric Medical SegmentationHanan Gani, Muzammal Naseer, Fahad Shahbaz Khan, Salman H. Khan 0001. 229-239 [doi]
• Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology PromptingWenting Chen, Pengyu Wang 0005, Hui Ren 0001, Lichao Sun 0001, Quanzheng Li, Yixuan Yuan, Xiang Li 0001. 240-250 [doi]
• Multi-Dataset Multi-Task Learning for COVID-19 PrognosisFilippo Ruffini, Lorenzo Tronchin, Zhuoru Wu, Wenting Chen, Paolo Soda, LinLin Shen, Valerio Guarrasi. 251-261 [doi]
• PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image SegmentationNada Saadi, Numan Saeed, Mohammad Yaqub, Karthik Nandakumar. 262-271 [doi]
• Reducing Annotation Burden: Exploiting Image Knowledge for Few-Shot Medical Video Object Segmentation via Spatiotemporal Consistency RelearningZixuan Zheng, Yilei Shi, Chunlei Li, Jingliang Hu, Xiaoxiang Zhu 0001, Lichao Mou. 272-282 [doi]
• SBC-AL: Structure and Boundary Consistency-Based Active Learning for Medical Image SegmentationTaimin Zhou, Jin Yang, Lingguo Cui, Nan Zhang, Senchun Chai. 283-293 [doi]
• Semi-Supervised Learning for Deep Causal Generative ModelsYasin Ibrahim, Hermione Warr, Konstantinos Kamnitsas. 294-303 [doi]
• SynCellFactory: Generative Data Augmentation for Cell TrackingMoritz Sturm, Lorenzo Cerrone, Fred A. Hamprecht. 304-313 [doi]
• TAPoseNet: Teeth Alignment Based on Pose Estimation via Multi-scale Graph Convolutional NetworkQingxin Deng, Xunyu Yang, Minghan Huang, Landu Jiang, Dian Zhang. 314-323 [doi]
• TE-SSL: Time and Event-Aware Self Supervised Learning for Alzheimer's Disease Progression AnalysisJacob Thrasher, Alina Devkota, Ahmad P. Tafti, Binod Bhattarai, Prashnna K. Gyawali. 324-333 [doi]
• Training ViT with Limited Data for Alzheimer's Disease Classification: An Empirical StudyKassymzhomart Kunanbayev, Vyacheslav Shen, Dae-Shik Kim. 334-343 [doi]
• TrIND: Representing Anatomical Trees by Denoising Diffusion of Implicit Neural FieldsAshish Sinha, Ghassan Hamarneh. 344-354 [doi]
• Universal Semi-supervised Learning for Medical Image ClassificationLie Ju, Yicheng Wu 0001, Wei Feng, Zhen Yu, Lin Wang 0027, Zhuoting Zhu, ZongYuan Ge. 355-365 [doi]
• Vertex Proportion Loss for Multi-class Cell Detection from Label ProportionsCarolina Pacheco, Florence Yellin, René Vidal, Benjamin D. Haeffele. 366-376 [doi]
• A Foundation Model for Brain Lesion Segmentation with Mixture of Modality ExpertsXinru Zhang, Ni Ou, Berke Doga Basaran, Marco Visentin, Mengyun Qiao, Renyang Gu, Cheng Ouyang, Yaou Liu, Paul M. Matthews, Chuyang Ye, Wenjia Bai. 379-389 [doi]
• A New Non-invasive AI-Based Diagnostic System for Automated Diagnosis of Acute Renal Rejection in Kidney Transplantation: Analysis of ADC Maps Extracted from Matched 3D Iso-Regions of the Transplanted KidneyIbrahim Abdelhalim, Mohamed Abou El-Ghar, Amy C. Dwyer, Rosemary Ouseph, Sohail Contractor, Ayman El-Baz. 390-398 [doi]
• A Refer-and-Ground Multimodal Large Language Model for BiomedicineXiaoshuang Huang, Haifeng Huang, Lingdong Shen, Yehui Yang, Fangxin Shang, Junwei Liu, Jia Liu. 399-409 [doi]
• A Unified Model for Longitudinal Multi-Modal Multi-View Prediction with MissingnessBoqi Chen, Junier Oliva, Marc Niethammer. 410-420 [doi]
• An Approach to Building Foundation Models for Brain Image AnalysisDavood Karimi. 421-431 [doi]
• An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image SegmentationQing Li 0001, Yizhe Zhang 0001, Yan Li 0064, Jun Lyu, Meng Liu, Longyu Sun, Mengting Sun, Qirong Li, Wenyue Mao, Xinran Wu, Yajing Zhang, Yinghua Chu, Shuo Wang 0011, Chengyan Wang. 432-442 [doi]
• BAPLe: Backdoor Attacks on Medical Foundational Models Using Prompt LearningAsif Hanif, Fahad Shamshad, Muhammad Awais, Muzammal Naseer, Fahad Shahbaz Khan, Karthik Nandakumar, Salman H. Khan 0001, Rao Muhammad Anwer. 443-453 [doi]
• Black-Box Adaptation for Medical Image SegmentationJay N. Paranjape, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel. 454-464 [doi]
• CLEFT: Language-Image Contrastive Learning with Efficient Large Language Model and Prompt Fine-TuningYuexi Du, Brian Chang, Nicha C. Dvornek. 465-475 [doi]
• CT2Rep: Automated Radiology Report Generation for 3D Medical ImagingIbrahim Ethem Hamamci, Sezgin Er, Bjoern H. Menze. 476-486 [doi]
• Curriculum Prompting Foundation Models for Medical Image SegmentationXiuqi Zheng, Yuhang Zhang, Haoran Zhang, Hongrui Liang, Xueqi Bao, Zhuqing Jiang, Qicheng Lao. 487-497 [doi]
• DB-SAM: Delving into High Quality Universal Medical Image SegmentationChao Qin, Jiale Cao, Huazhu Fu, Fahad Shahbaz Khan, Rao Muhammad Anwer. 498-508 [doi]
• DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image SegmentationYiFan Gao, Wei Xia, Dingdu Hu, Wenkui Wang, Xin Gao 0003. 509-519 [doi]
• DinoBloom: A Foundation Model for Generalizable Cell Embeddings in HematologyValentin Koch, Sophia J. Wagner, Salome Kazeminia, Ece Sancar, Matthias Hehr, Julia A. Schnabel, Tingying Peng, Carsten Marr. 520-530 [doi]
• FACMIC: Federated Adaptative CLIP Model for Medical Image ClassificationYihang Wu, Christian Desrosiers, Ahmad Chaddad. 531-541 [doi]
• FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical ImagesYiqing Shen 0003, Jingxing Li, Xinyuan Shao, Blanca Inigo Romillo, Ankush Jindal, David Dreizin, Mathias Unberath. 542-552 [doi]
• Few-Shot Adaptation of Medical Vision-Language ModelsFereshteh Shakeri, Yunshi Huang, Julio Silva-Rodríguez, Houda Bahig, An Tang, Jose Dolz, Ismail Ben Ayed. 553-563 [doi]
• fTSPL: Enhancing Brain Analysis with FMRI-Text Synergistic Prompt LearningPengyu Wang 0005, Huaqi Zhang, Zhibin He, Zhihao Peng 0002, Yixuan Yuan. 564-574 [doi]
• HiA: Towards Chinese Multimodal LLMs for Comparative High-Resolution Joint DiagnosisXinpeng Ding, Yongqiang Chu, Renjie Pi, Hualiang Wang, Xiaomeng Li 0001. 575-586 [doi]
• Knowledge-Grounded Adaptation Strategy for Vision-Language Models: Building a Unique Case-Set for Screening Mammograms for Residents TrainingAisha Urooj Khan, John W. Garrett, Tyler J. Bradshaw, Lonie Salkowski, Jiwoong Jason Jeong, Amara Tariq, Imon Banerjee. 587-598 [doi]
• Learnable Skeleton-Based Medical Landmark Estimation with Graph Sparsity and Fiedler RegularizationsYao Wang, Jiahao Chen, Wenjian Huang, Pei-Dong, Zhen Qian. 599-609 [doi]
• LGA: A Language Guide Adapter for Advancing the SAM Model's Capabilities in Medical Image SegmentationJihong Hu, Yinhao Li, Hao Sun 0013, Yu Song, Chujie Zhang, Lanfen Lin, Yen-Wei Chen 0001. 610-620 [doi]
• 4oE: A Foundation Model for Medical Multimodal Image Segmentation with Mixture of ExpertsYufeng Jiang, Yiqing Shen 0003. 621-631 [doi]
• Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in MammographyShantanu Ghosh, Clare B. Poynton, Shyam Visweswaran, Kayhan Batmanghelich. 632-642 [doi]
• MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image SegmentationTaha Koleilat, Hojat Asgariandehkordi, Hassan Rivaz, Yiming Xiao. 643-653 [doi]
• MedSynth: Leveraging Generative Model for Healthcare Data SharingRenuga Kanagavelu, Madhav Walia, Yuan Wang 0008, Huazhu Fu, Qingsong Wei, Yong Liu 0026, Rick Siow Mong Goh. 654-664 [doi]
• One Registration is Worth Two SegmentationsShiqi Huang, Tingfa Xu, Ziyi Shen, Shaheer Ullah Saeed, Wen Yan, Dean C. Barratt, Yipeng Hu. 665-675 [doi]
• PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRIPeirong Liu, Oula Puonti, Annabel Sorby-Adams, W. Taylor Kimberly, Juan Eugenio Iglesias. 676-686 [doi]
• Prompting Vision-Language Models for Dental Notation Aware Abnormality DetectionChenlin Du, Xiaoxuan Chen, Jingyi Wang, Junjie Wang, Zhongsen Li, Zongjiu Zhang, Qicheng Lao. 687-697 [doi]
• PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt LearningNoor Hussein, Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar. 698-708 [doi]
• RET-CLIP: A Retinal Image Foundation Model Pre-trained with Clinical Diagnostic ReportsJiawei Du, Jia Guo, Weihang Zhang, Shengzhu Yang, Hanruo Liu, Huiqi Li, Ningli Wang. 709-719 [doi]
• S-SAM: SVD-Based Fine-Tuning of Segment Anything Model for Medical Image SegmentationJay N. Paranjape, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel. 720-730 [doi]
• ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image SegmentationRuohua Shi, Qiufan Pang, Lei Ma 0008, Lingyu Duan, Tie-Jun Huang 0001, Tingting Jiang 0001. 731-741 [doi]
• Symmetry Awareness Encoded Deep Learning Framework for Brain Imaging AnalysisYang Ma, Dongang Wang, Peilin Liu, Lynette Masters, Michael Barnett 0006, Tom Weidong Cai, Chenyu Wang 0001. 742-752 [doi]
• UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked ModelingKai Yu 0009, Yang Zhou, Yang Bai, Zhi Da Soh, Xinxing Xu, Rick Siow Mong Goh, Ching Yu Cheng, Yong Liu 0026. 753-762 [doi]
• VertFound: Synergizing Semantic and Spatial Understanding for Fine-Grained Vertebrae Classification via Foundation ModelsYinhao Wu, Jinzhou Tang, Zequan Yao, Mingjie Li, Yuan Hong, Dongdong Yu, Zhifan Gao, Bin Chen, Shen Zhao. 763-772 [doi]
• XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-Guided Context OptimizationYequan Bie, Luyang Luo, Zhixuan Chen, Hao Chen 0011. 773-783 [doi]