Table of Contents

• Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification GeneralisationYuanhong Chen, Hu Wang, Chong Wang, Yu Tian, Fengbei Liu, Yuyuan Liu, Michael Elliott, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro. 3-13 [doi]
• Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification ModelsChong Wang, Yuanhong Chen, Yuyuan Liu, Yu Tian, Fengbei Liu, Davis J. McCarthy, Michael Elliott, Helen Frazer, Gustavo Carneiro. 14-24 [doi]
• Deep is a Luxury We Don't HaveAhmed Taha, Yen Nhi Truong Vu, Brent Mombourquette, Thomas Paul Matthews, Jason Su, Sadanand Singh. 25-35 [doi]
• PD-DWI: Predicting Response to Neoadjuvant Chemotherapy in Invasive Breast Cancer with Physiologically-Decomposed Diffusion-Weighted MRI Machine-Learning ModelMaya Gilad, Moti Freiman. 36-45 [doi]
• Transformer Based Multi-view Network for Mammographic Image ClassificationZizhao Sun, Huiqin Jiang, Ling Ma, Zhan Yu, Hongwei Xu. 46-54 [doi]
• Intra-class Contrastive Learning Improves Computer Aided Diagnosis of Breast Cancer in MammographyKihyun You, Suho Lee, Kyuhee Jo, Eunkyung Park, Thijs Kooi, Hyeonseob Nam. 55-64 [doi]
• BoxPolyp: Boost Generalized Polyp Segmentation Using Extra Coarse Bounding Box AnnotationsJun Wei, Yiwen Hu 0001, Guanbin Li, Shuguang Cui, S. Kevin Zhou, Zhen Li 0026. 67-77 [doi]
• FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease ClassificationKai-Ni Wang, Yuting He, Shuaishuai Zhuang, Juzheng Miao, Xiaopu He, Ping Zhou, Guanyu Yang, Guang-Quan Zhou, Shuo Li 0001. 78-87 [doi]
• Contrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame DetectionYu Tian, Guansong Pang, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan Verjans, Gustavo Carneiro. 88-98 [doi]
• Lesion-Aware Dynamic Kernel for Polyp SegmentationRuifei Zhang, Peiwen Lai, Xiang Wan, De-Jun Fan, Feng Gao, Xiao-Jian Wu, Guanbin Li. 99-109 [doi]
• Stepwise Feature Fusion: Local Guides GlobalJinfeng Wang, Qiming Huang, Feilong Tang, Jia Meng, Jionglong Su, Sifan Song. 110-120 [doi]
• Stay Focused - Enhancing Model Interpretability Through Guided Feature TrainingAlexander Jenke, Sebastian Bodenstedt, Martin Wagner, Johanna M. Brandenburg, Antonia Stern, Lars Mündermann, Marius Distler, Jürgen Weitz, Beat P. Müller-Stich, Stefanie Speidel. 121-129 [doi]
• On the Uncertain Single-View Depths in ColonoscopiesJavier Rodriguez Puigvert, David Recasens, Javier Civera, Ruben Martinez-Cantin. 130-140 [doi]
• Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-Modal Representation ConsistencyWeijie Ma, Ye Zhu, Ruimao Zhang, Jie Yang, Yiwen Hu 0001, Zhen Li, Li Xiang. 141-150 [doi]
• TGANet: Text-Guided Attention for Improved Polyp SegmentationNikhil Kumar Tomar, Debesh Jha, Ulas Bagci, Sharib Ali. 151-160 [doi]
• SATr: Slice Attention with Transformer for Universal Lesion DetectionHan Li, Long Chen, Hu Han 0001, S. Kevin Zhou. 163-174 [doi]
• MAL: Multi-modal Attention Learning for Tumor Diagnosis Based on Bipartite Graph and Multiple BranchesMenglei Jiao, Hong Liu 0007, Jianfang Liu, Hanqiang Ouyang, Xiangdong Wang, Liang Jiang, Huishu Yuan, Yueliang Qian. 175-185 [doi]
• Optimal Transport Based Ordinal Pattern Tree Kernel for Brain Disease DiagnosisKai Ma, Xuyun Wen, Qi Zhu, Daoqiang Zhang. 186-195 [doi]
• Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class ImbalanceMeirui Jiang, Hongzheng Yang, Xiaoxiao Li, Quande Liu, Pheng-Ann Heng, Qi Dou. 196-206 [doi]
• Coronary R-CNN: Vessel-Wise Method for Coronary Artery Lesion Detection and Analysis in Coronary CT AngiographyYu Zhang, Jun Ma, Jing Li. 207-216 [doi]
• Flat-Aware Cross-Stage Distilled Framework for Imbalanced Medical Image ClassificationJinpeng Li, Guangyong Chen, Hangyu Mao, Danruo Deng, Dong Li 0030, Jianye Hao, Qi Dou, Pheng-Ann Heng. 217-226 [doi]
• CephalFormer: Incorporating Global Structure Constraint into Visual Features for General Cephalometric Landmark DetectionYankai Jiang, Yiming Li, Xinyue Wang, Yubo Tao, Jun Lin, Hai Lin 0003. 227-237 [doi]
• ORF-Net: Deep Omni-Supervised Rib Fracture Detection from Chest CT ScansZhizhong Chai, Huangjing Lin, Luyang Luo, Pheng-Ann Heng, Hao Chen 0011. 238-248 [doi]
• Point Beyond Class: A Benchmark for Weakly Semi-supervised Abnormality Localization in Chest X-RaysHaoqin Ji, Haozhe Liu, Yuexiang Li, Jinheng Xie, Nanjun He, Yawen Huang, Dong Wei 0004, Xinrong Chen, LinLin Shen, Yefeng Zheng 0001. 249-260 [doi]
• Did You Get What You Paid For? Rethinking Annotation Cost of Deep Learning Based Computer Aided Detection in Chest RadiographsTae-Soo Kim, Geonwoon Jang, Sanghyup Lee, Thijs Kooi. 261-270 [doi]
• Context-Aware Transformers for Spinal Cancer Detection and Radiological GradingRhydian Windsor, Amir Jamaludin, Timor Kadir, Andrew Zisserman. 271-281 [doi]
• End-to-End Evidential-Efficient Net for Radiomics Analysis of Brain MRI to Predict Oncogene Expression and Overall SurvivalYingjie Feng, Jun Wang, Dongsheng An, Xianfeng Gu, Xiaoyin Xu, Min Zhang. 282-291 [doi]
• Denoising of 3D MR Images Using a Voxel-Wise Hybrid Residual MLP-CNN Model to Improve Small Lesion Diagnostic ConfidenceHaibo Yang, Shengjie Zhang, Xiaoyang Han, Botao Zhao, Yan Ren, Yaru Sheng, Xiao-yong Zhang. 292-302 [doi]
• ULTRA: Uncertainty-Aware Label Distribution Learning for Breast Tumor Cellularity AssessmentXiangyu Li, Xinjie Liang, Gongning Luo, Wei Wang 0169, Kuanquan Wang, Shuo Li 0001. 303-312 [doi]
• Test-Time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution ShiftWenao Ma, Cheng Chen 0013, Shuang Zheng, Jing Qin 0001, Huimao Zhang, Qi Dou. 313-323 [doi]
• Interaction-Oriented Feature Decomposition for Medical Image Lesion DetectionJunyong Shen, Yan Hu, Xiaoqing Zhang, Zhongxi Qiu, Tingming Deng, Yanwu Xu 0001, Jiang Liu 0001. 324-333 [doi]
• Prototype Learning of Inter-network Connectivity for ASD Diagnosis and Personalized AnalysisEunsong Kang, Da-Woon Heo, Heung-Il Suk. 334-343 [doi]
• Effective Opportunistic Esophageal Cancer Screening Using Noncontrast CT ImagingJiawen Yao, Xianghua Ye, Yingda Xia, Jian Zhou, Yu Shi, Ke Yan 0006, Fang Wang, Lili Lin, Haogang Yu, Xian-Sheng Hua, Le Lu 0001, Dakai Jin, Ling Zhang 0002. 344-354 [doi]
• Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive LearningTianling Liu, Wennan Liu, Lequan Yu, Liang Wan, Tong Han, Lei Zhu 0003. 355-365 [doi]
• Residual Wavelon Convolutional Networks for Characterization of Disease Response on MRIAmir Reza Sadri, Thomas DeSilvio, Prathyush Chirra, Sneha Singh, Satish E. Viswanath. 366-375 [doi]
• Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image ClassificationFaris Almalik, Mohammad Yaqub, Karthik Nandakumar. 376-386 [doi]
• A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free ModelsAnthony Vento, Qingyu Zhao, Robert Paul, Kilian M. Pohl, Ehsan Adeli 0001. 387-397 [doi]
• mulEEG: A Multi-view Representation Learning on EEG SignalsVamsi Kumar, Likith Reddy, Shivam Kumar Sharma, Kamalaker Dadi, Chiranjeevi Yarra, Raju S. Bapi, Srijithesh Rajendran. 398-407 [doi]
• Automatic Detection of Steatosis in Ultrasound Images with Comparative Visual LabelingGuinther Saibro, Michele Diana, Benoît Sauer, Jacques Marescaux, Alexandre Hostettler, Toby Collins. 408-418 [doi]
• Automation of Clinical Measurements on Radiographs of Children's HipsPeter Thompson, Daniel C. Perry, Timothy F. Cootes, Claudia Lindner 0001. 419-428 [doi]
• Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary SinusDebayan Bhattacharya, Benjamin Tobias Becker, Finn Behrendt, Marcel Bengs, Dirk Beyersdorff, Dennis Eggert, Elina Petersen, Florian Jansen, Marvin Petersen, Bastian Cheng, Christian Betz, Alexander Schlaefer, Anna Sophie Hoffmann. 429-438 [doi]
• Show, Attend and Detect: Towards Fine-Grained Assessment of Abdominal Aortic Calcification on Vertebral Fracture Assessment ScansSyed Zulqarnain Gilani, Naeha Sharif, David Suter, John T. Schousboe, Siobhan Reid, William D. Leslie, Joshua R. Lewis. 439-450 [doi]
• Overlooked Trustworthiness of Saliency MapsJiajin Zhang, Hanqing Chao, Giridhar Dasegowda, Ge Wang 0001, Mannudeep K. Kalra, Pingkun Yan. 451-461 [doi]
• Flexible Sampling for Long-Tailed Skin Lesion ClassificationLie Ju, Yicheng Wu, Lin Wang, Zhen Yu, Xin Zhao, Xin Wang 0094, C. Paul Bonnington, ZongYuan Ge. 462-471 [doi]
• A Novel Deep Learning System for Breast Lesion Risk Stratification in Ultrasound ImagesTing Liu, Xing An, Yanbo Liu, Yuxi Liu, Bin Lin, Runzhou Jiang, Wenlong Xu, Longfei Cong, Lei Zhu. 472-481 [doi]
• Deep Treatment Response Assessment and Prediction of Colorectal Cancer Liver MetastasesMohammad Mohaiminul Islam, Bogdan Badic, Thomas Aparicio, David Tougeron, Jean-Pierre Tasu, Dimitris Visvikis, Pierre-Henri Conze. 482-491 [doi]
• CACTUSS: Common Anatomical CT-US Space for US ExaminationsYordanka Velikova, Walter Simson, Mehrdad Salehi, Mohammad Farid Azampour, Philipp Paprottka, Nassir Navab. 492-501 [doi]
• INSightR-Net: Interpretable Neural Network for Regression Using Similarity-Based Comparisons to Prototypical ExamplesLinde S. Hesse, Ana I. L. Namburete. 502-511 [doi]
• Disentangle Then Calibrate: Selective Treasure Sharing for Generalized Rare Disease DiagnosisYuanyuan Chen, Xiaoqing Guo, Yong Xia, Yixuan Yuan. 512-522 [doi]
• Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature DisentanglementHaoxuan Che, Haibo Jin, Hao Chen. 523-533 [doi]
• Spatiotemporal Attention for Early Prediction of Hepatocellular Carcinoma Based on Longitudinal Ultrasound ImagesYiwen Zhang, Chengguang Hu, Liming Zhong, Yangda Song, Jiarun Sun, Meng Li, Lin Dai, Yuanping Zhou, Wei Yang 0006. 534-543 [doi]
• NVUM: Non-volatile Unbiased Memory for Robust Medical Image ClassificationFengbei Liu, Yuanhong Chen, Yu Tian, Yuyuan Liu, Chong Wang, Vasileios Belagiannis, Gustavo Carneiro. 544-553 [doi]
• Local Graph Fusion of Multi-view MR Images for Knee Osteoarthritis DiagnosisZixu Zhuang, Sheng Wang, Liping Si, Kai Xuan, Zhong Xue, Dinggang Shen, Lichi Zhang, Weiwu Yao, Qian Wang 0001. 554-563 [doi]
• DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate TransformLisha Yao, Yingda Xia, Haochen Zhang, Jiawen Yao, Dakai Jin, Bingjiang Qiu, Yuan Zhang, Suyun Li, Yanting Liang, Xian-Sheng Hua 0001, Le Lu 0001, Xin Chen, Zaiyi Liu, Ling Zhang 0002. 564-573 [doi]
• Graph Convolutional Network with Probabilistic Spatial Regression: Application to Craniofacial Landmark Detection from 3D PhotogrammetryConnor Elkhill, Scott LeBeau, Brooke French, Antonio R. Porras. 574-583 [doi]
• Dual-Distribution Discrepancy for Anomaly Detection in Chest X-RaysYu Cai, Hao Chen, Xin Yang 0008, Yu Zhou, Kwang-Ting Cheng. 584-593 [doi]
• Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic EmbeddingsZhen Yu, Toan D. Nguyen, Yaniv Gal, Lie Ju, Shekhar S. Chandra, Lei Zhang 0095, C. Paul Bonnington, Victoria Mar, Zhiyong Wang, ZongYuan Ge. 594-603 [doi]
• Reinforcement Learning Driven Intra-modal and Inter-modal Representation Learning for 3D Medical Image ClassificationZhonghang Zhu, Liansheng Wang, Baptiste Magnier, Lei Zhu, Defu Zhang, Lequan Yu. 604-613 [doi]
• A New Dataset and a Baseline Model for Breast Lesion Detection in Ultrasound VideosZhi Lin, Junhao Lin, Lei Zhu 0003, Huazhu Fu, Jing Qin 0001, Liansheng Wang. 614-623 [doi]
• RemixFormer: A Transformer Model for Precision Skin Tumor Differential Diagnosis via Multi-modal Imaging and Non-imaging DataJing Xu, Yuan Gao, Wei Liu, Kai Huang, Shuang Zhao, Le Lu, Xiaosong Wang, Xian-Sheng Hua 0001, Yu Wang, Xiang Chen. 624-633 [doi]
• Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion DetectionFlorian Thamm, Oliver Taubmann, Markus Jürgens, Aleksandra Thamm, Felix Denzinger, Leonhard Rist, Hendrik Ditt, Andreas Maier 0001. 634-643 [doi]
• Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion ImagingKimberly Amador, Anthony J. Winder, Jens Fiehler, Matthias Wilms, Nils D. Forkert. 644-654 [doi]
• A Medical Semantic-Assisted Transformer for Radiographic Report GenerationZhanyu Wang, Mingkang Tang, Lei Wang, Xiu Li, Luping Zhou. 655-664 [doi]
• Personalized Diagnostic Tool for Thyroid Cancer Classification Using Multi-view UltrasoundHan Huang, Yijie Dong, Xiaohong Jia, Jianqiao Zhou, Dong Ni 0001, Jun Cheng, Ruobing Huang. 665-674 [doi]
• Morphology-Aware Interactive Keypoint EstimationJinhee Kim, Taesung Kim, Taewoo Kim, Jaegul Choo, Dong Wook Kim, Byungduk Ahn, In-Seok Song, Yoon Ji Kim. 675-685 [doi]
• GazeRadar: A Gaze and Radiomics-Guided Disease Localization FrameworkMoinak Bhattacharya, Shubham Jain, Prateek Prasanna. 686-696 [doi]
• Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed TomographyPaula López Diez, Kristine Sørensen, Josefine Vilsbøll Sundgaard, Khassan Diab, Jan Margeta, François Patou, Rasmus R. Paulsen. 697-706 [doi]
• Vision-Language Contrastive Learning Approach to Robust Automatic Placenta Analysis Using Photographic ImagesYimu Pan, Alison D. Gernand, Jeffery A. Goldstein, Leena Mithal, Delia Mwinyelle, James Z. Wang 0001. 707-716 [doi]
• Multi-modal Hypergraph Diffusion Network with Dual Prior for Alzheimer ClassificationAngelica I. Avilés-Rivero, Christina Runkel, Nicolas Papadakis, Zoe Kourtzi, Carola-Bibiane Schönlieb. 717-727 [doi]
• Federated Medical Image Analysis with Virtual Sample SynthesisWei Zhu 0015, Jiebo Luo. 728-738 [doi]
• Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image ClassificationRaheleh Salehi, Ario Sadafi, Armin Gruber, Peter Lienemann, Nassir Navab, Shadi Albarqouni, Carsten Marr. 739-748 [doi]
• Attentional Generative Multimodal Network for Neonatal Postoperative Pain EstimationMd Sirajus Salekin, Ghada Zamzmi, Dmitry B. Goldgof, Peter R. Mouton, Kanwaljeet J. S. Anand, Terri Ashmeade, Stephanie Prescott, Yangxin Huang, Yu Sun 0004. 749-759 [doi]
• Deep Learning Based Modality-Independent Intracranial Aneurysm DetectionZiga Bizjak, June Ho Choi, Won-Hyoung Park, Ziga Spiclin. 760-769 [doi]
• LIDP: A Lung Image Dataset with Pathological Information for Lung Cancer ScreeningYanbo Shao, Minghao Wang, Juanyun Mai, Xinliang Fu, Mei Li, Jiayin Zheng, Zhaoqi Diao, Airu Yin, Yulong Chen, Jianyu Xiao, Jian You, Yang Yang, Xiangcheng Qiu, Jinsheng Tao, Bo Wang, Hua Ji. 770-779 [doi]
• Moving from 2D to 3D: Volumetric Medical Image Classification for Rectal Cancer StagingJoohyung Lee, Jieun Oh, Inkyu Shin, You-sung Kim, Dae Kyung Sohn, Tae Sung Kim, In-So Kweon. 780-790 [doi]