Table of Contents

• Automatic Segmentation of Hip Osteophytes in DXA Scans Using U-NetsRaja Ebsim, Benjamin G. Faber, Fiona C. Saunders, Monika Frysz, Jennifer S. Gregory, Nicholas C. Harvey, Jonathan H. Tobias, Claudia Lindner 0001, Timothy F. Cootes. 3-12 [doi]
• CIRDataset: A Large-Scale Dataset for Clinically-Interpretable Lung Nodule Radiomics and Malignancy PredictionWookjin Choi, Navdeep Dahiya, Saad Nadeem. 13-22 [doi]
• UNeXt: MLP-Based Rapid Medical Image Segmentation NetworkJeya Maria Jose Valanarasu, Vishal M. Patel. 23-33 [doi]
• Exploring Smoothness and Class-Separation for Semi-supervised Medical Image SegmentationYicheng Wu 0001, Zhonghua Wu, Qianyi Wu, ZongYuan Ge, Jianfei Cai 0001. 34-43 [doi]
• Uncertainty-Guided Lung Nodule Segmentation with Feature-Aware AttentionHan Yang, Lu Shen, Mengke Zhang, Qiuli Wang 0001. 44-54 [doi]
• Thoracic Lymph Node Segmentation in CT Imaging via Lymph Node Station Stratification and Size EncodingDazhou Guo, Jia Ge, Ke Yan 0006, Puyang Wang, Zhuotun Zhu, Dandan Zheng, Xian-Sheng Hua 0001, Le Lu 0001, Tsung-Ying Ho, Xianghua Ye, Dakai Jin. 55-65 [doi]
• ACT: Semi-supervised Domain-Adaptive Medical Image Segmentation with Asymmetric Co-trainingXiaofeng Liu 0001, Fangxu Xing, Nadya Shusharina, Ruth Lim, C. C. Jay Kuo, Georges El Fakhri, Jonghye Woo. 66-76 [doi]
• A Sense of Direction in Biomedical Neural NetworksZewen Liu 0002, Timothy F. Cootes. 77-86 [doi]
• Stroke Lesion Segmentation from Low-Quality and Few-Shot MRIs via Similarity-Weighted Self-ensembling FrameworkDong Zhang, Raymond Confidence, Udunna Anazodo. 87-96 [doi]
• Edge-Oriented Point-Cloud Transformer for 3D Intracranial Aneurysm SegmentationYifan Liu, Jie Liu, Yixuan Yuan. 97-106 [doi]
• mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor SegmentationYao Zhang, Nanjun He, Jiawei Yang, Yuexiang Li, Dong Wei 0004, Yawen Huang, Yang Zhang 0002, Zhiqiang He, Yefeng Zheng 0001. 107-117 [doi]
• Multimodal Brain Tumor Segmentation Using Contrastive Learning Based Feature Comparison with Monomodal Normal Brain ImagesHuabing Liu, Dong Ni 0001, Dinggang Shen, Jinda Wang, Zhenyu Tang. 118-127 [doi]
• Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image SegmentationZiyuan Zhao, Fangcheng Zhou, Zeng Zeng, Cuntai Guan, S. Kevin Zhou. 128-139 [doi]
• NestedFormer: Nested Modality-Aware Transformer for Brain Tumor SegmentationZhaohu Xing, Lequan Yu, Liang Wan, Tong Han, Lei Zhu 0003. 140-150 [doi]
• MaxStyle: Adversarial Style Composition for Robust Medical Image SegmentationChen Chen 0042, Zeju Li, Cheng Ouyang, Matthew Sinclair, Wenjia Bai, Daniel Rueckert. 151-161 [doi]
• A Robust Volumetric Transformer for Accurate 3D Tumor SegmentationHimashi Peiris, Munawar Hayat, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi. 162-172 [doi]
• Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation ModelsYizhe Zhang, Suraj Mishra, Peixian Liang, Hao Zheng 0006, Danny Z. Chen. 173-182 [doi]
• Modality-Adaptive Feature Interaction for Brain Tumor Segmentation with Missing ModalitiesZechen Zhao, Heran Yang, Jian Sun 0009. 183-192 [doi]
• Position-Prior Clustering-Based Self-attention Module for Knee Cartilage SegmentationDong Liang, Jun Liu, Kuanquan Wang, Gongning Luo, Wei Wang 0169, Shuo Li 0001. 193-202 [doi]
• Attentive Symmetric Autoencoder for Brain MRI SegmentationJunjia Huang, Haofeng Li, Guanbin Li, Xiang Wan. 203-213 [doi]
• Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation Without Source DataZhe Xu, Donghuan Lu, Yixin Wang, Jie Luo 0003, Dong Wei 0004, Yefeng Zheng 0001, Raymond Kai-Yu Tong. 214-224 [doi]
• Curvature-Enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT ImagesYu Fang, Zhiming Cui, Lei Ma, Lanzhuju Mei, Bojun Zhang, Yue Zhao 0012, Zhihao Jiang, Yiqiang Zhan, Yongsheng Pan, Min Zhu, Dinggang Shen. 225-234 [doi]
• PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image SegmentationWenTao Liu, Tong Tian, Weijin Xu, Huihua Yang, Xipeng Pan, Songlin Yan, Lemeng Wang. 235-244 [doi]
• Learning Tumor-Induced Deformations to Improve Tumor-Bearing Brain MR SegmentationMeng Jia, Matthew Kyan. 245-255 [doi]
• Contrastive Re-localization and History Distillation in Federated CMR SegmentationXiaoming Qi, Guanyu Yang, Yuting He, Wangyan Liu, Ali Islam, Shuo Li 0001. 256-265 [doi]
• Contrast-Free Liver Tumor Detection Using Ternary Knowledge Transferred Teacher-Student Deep Reinforcement LearningChenchu Xu, Dong Zhang, Yuhui Song, Leonardo Kayat Bittencourt, Sree Harsha Tirumani, Shuo Li 0001. 266-275 [doi]
• DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery VideosNegin Ghamsarian, Mario Taschwer, Raphael Sznitman, Klaus Schoeffmann. 276-286 [doi]
• A Geometry-Constrained Deformable Attention Network for Aortic SegmentationWeiyuan Lin, Hui Liu, Lin Gu, Zhifan Gao. 287-296 [doi]
• ConTrans: Improving Transformer with Convolutional Attention for Medical Image SegmentationAiliang Lin, Jiayu Xu, Jinxing Li, Guangming Lu. 297-307 [doi]
• End-to-End Segmentation of Medical Images via Patch-Wise Polygons PredictionTal Shaharabany, Lior Wolf. 308-318 [doi]
• Automatic Identification of Segmentation Errors for Radiotherapy Using Geometric LearningEdward G. A. Henderson, Andrew F. Green, Marcel van Herk, Eliana M. Vasquez Osorio. 319-329 [doi]
• A Novel Knowledge Keeper Network for 7T-Free but 7T-Guided Brain Tissue SegmentationJieun Lee, Kwanseok Oh, Dinggang Shen, Heung-Il Suk. 330-339 [doi]
• OnlyCaps-Net, a Capsule only Based Neural Network for 2D and 3D Semantic SegmentationSavinien Bonheur, Franz Thaler, Michael Pienn, Horst Olschewski, Horst Bischof, Martin Urschler. 340-349 [doi]
• Identifying and Combating Bias in Segmentation Networks by Leveraging Multiple ResolutionsLeonie Henschel, David Kügler, Derek S. Andrews, Christine Wu Nordahl, Martin Reuter 0001. 350-359 [doi]
• Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image SegmentationShangqi Gao, Hangqi Zhou, Yibo Gao, Xiahai Zhuang. 360-369 [doi]
• Transformer Based Feature Fusion for Left Ventricle Segmentation in 4D Flow MRIXiaowu Sun, Li-Hsin Cheng, Sven Plein, Pankaj Garg, Rob J. van der Geest. 370-379 [doi]
• Learning Towards Synchronous Network Memorizability and Generalizability for Continual Segmentation Across Multiple SitesJingyang Zhang, Peng Xue, Ran Gu, Yuning Gu, Mianxin Liu, Yongsheng Pan, Zhiming Cui, Jiawei Huang, Lei Ma, Dinggang Shen. 380-390 [doi]
• Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology LearningXiao Zhang, Jingyang Zhang, Lei Ma, Peng Xue, Yan Hu, Dijia Wu, Yiqiang Zhan, Jun Feng, Dinggang Shen. 391-400 [doi]
• Evidence Fusion with Contextual Discounting for Multi-modality Medical Image SegmentationLing Huang, Thierry Denoeux, Pierre Vera, Su Ruan. 401-411 [doi]
• Orientation-Guided Graph Convolutional Network for Bone Surface SegmentationAimon Rahman, Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M. Patel. 412-421 [doi]
• Weakly Supervised Volumetric Image Segmentation with Deformed TemplatesUdaranga Wickramasinghe, Patrick M. Jensen, Mian Shah, Jiancheng Yang, Pascal Fua. 422-432 [doi]
• Implicit Neural Representations for Medical Imaging SegmentationMuhammad Osama Khan, Yi Fang. 433-443 [doi]
• ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing ModalitiesHan Liu, Yubo Fan, Hao Li, Jiacheng Wang, Dewei Hu, Can Cui, Ho Hin Lee, Huahong Zhang, Ipek Oguz. 444-453 [doi]
• DOMINO: Domain-Aware Model Calibration in Medical Image SegmentationSkylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew Hale, Ruogu Fang. 454-463 [doi]
• iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR ImagesQin Liu, Zhenlin Xu, Yining Jiao, Marc Niethammer. 464-474 [doi]
• Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image SegmentationYanglan Ou, Ye Yuan, Xiaolei Huang, Stephen T. C. Wong, John Volpi, James Z. Wang 0001, Kelvin K. Wong. 475-484 [doi]
• TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with TransformersDi Liu, Yunhe Gao, Qilong Zhangli, Ligong Han, Xiaoxiao He, Zhaoyang Xia, Song Wen, Qi Chang, Zhennan Yan, Mu Zhou, Dimitris N. Metaxas. 485-495 [doi]
• ++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and InteroperabilityRodrigo Santa Cruz, Léo Lebrat, Darren Fu, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado. 496-505 [doi]
• Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image AnalysisRaghavendra Selvan, Nikhil Bhagwat, Lasse F. Wolff Anthony, Benjamin Kanding, Erik B. Dam. 506-516 [doi]
• SMESwin Unet: Merging CNN and Transformer for Medical Image SegmentationZiheng Wang, Xiongkuo Min, Fangyu Shi, Ruinian Jin, Saida S. Nawrin, Ichen Yu, Ryoichi Nagatomi. 517-526 [doi]
• Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and No RetrainingBenjamin Billot, Colin G. Magdamo, Steven E. Arnold, Sudeshna Das 0001, Juan Eugenio Iglesias. 538-548 [doi]
• Deep Reinforcement Learning for Small Bowel Path Tracking Using Different Types of AnnotationsSeung Yeon Shin, Ronald M. Summers. 549-559 [doi]
• Efficient Population Based Hyperparameter Scheduling for Medical Image SegmentationYufan He, Dong Yang 0005, Andriy Myronenko, Daguang Xu. 560-569 [doi]
• Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-supervised SegmentationMou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob. 580-590 [doi]
• Enforcing Connectivity of 3D Linear Structures Using Their 2D ProjectionsDoruk Öner, Hussein Osman, Mateusz Kozinski, Pascal Fua. 591-601 [doi]
• RT-DNAS: Real-Time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI SegmentationQing Lu, Xiaowei Xu 0004, Shunjie Dong, Cong Hao, Lei Yang, Cheng Zhuo, Yiyu Shi. 602-612 [doi]
• Lesion Guided Explainable Few Weak-Shot Medical Report GenerationJinghan Sun, Dong Wei 0004, Liansheng Wang, Yefeng Zheng 0001. 615-625 [doi]
• Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic DataCan Cui, Han Liu, Quan Liu, Ruining Deng, Zuhayr Asad, Yaohong Wang, Shilin Zhao, Haichun Yang, Bennett A. Landman, Yuankai Huo. 626-635 [doi]
• Discrepancy and Gradient-Guided Multi-modal Knowledge Distillation for Pathological Glioma GradingXiaohan Xing, Zhen Chen 0013, Meilu Zhu, Yuenan Hou, Zhifan Gao, Yixuan Yuan. 636-646 [doi]
• Radiological Reports Improve Pre-training for Localized Imaging Tasks on Chest X-RaysPhilip Müller, Georgios Kaissis, Congyu Zou, Daniel Rueckert. 647-657 [doi]
• Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-raysKe Yu, Shantanu Ghosh, Zhexiong Liu, Christopher Deible, Kayhan Batmanghelich. 658-668 [doi]
• Identification of Vascular Cognitive Impairment in Adult Moyamoya Disease via Integrated Graph Convolutional NetworkXi Chen, Wenwen Zeng, Guoqing Wu, Yu Lei, Wei Ni, Yuanyuan Wang, Yuxiang Gu, Jinhua Yu. 669-678 [doi]
• Multi-modal Masked Autoencoders for Medical Vision-and-Language Pre-trainingZhihong Chen, Yuhao Du, Jinpeng Hu, Yang Liu, Guanbin Li, Xiang Wan, Tsung-Hui Chang. 679-689 [doi]
• Breaking with Fixed Set Pathology Recognition Through Report-Guided Contrastive TrainingConstantin Seibold, Simon Reiß, M. Saquib Sarfraz, Rainer Stiefelhagen, Jens Kleesiek. 690-700 [doi]
• Explaining Chest X-Ray Pathologies in Natural LanguageMaxime Kayser, Cornelius Emde, Oana-Maria Camburu, Guy Parsons, Bartlomiej W. Papiez, Thomas Lukasiewicz. 701-713 [doi]
• RepsNet: Combining Vision with Language for Automated Medical ReportsAjay K. Tanwani, Joelle K. Barral, Daniel Freedman. 714-724 [doi]
• BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease DiagnosisMasoud Monajatipoor, Mozhdeh Rouhsedaghat, Liunian Harold Li, C. C. Jay Kuo, Aichi Chien, Kai-Wei Chang. 725-734 [doi]