Abstract is missing.
- Automatic Bleeding Risk Rating System of Gastric VaricesYicheng Jiang, Luyue Shi, Wei Qi, Lei Chen, Guanbin Li, Xiaoguang Han 0001, Xiang Wan, Siqi Liu. 3-12 [doi]
- You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic ImagesXiaodan Xing, Federico Felder, Yang Nan 0002, Giorgos Papanastasiou, Simon Walsh, Guang Yang 0006. 13-22 [doi]
- SHISRCNet: Super-Resolution and Classification Network for Low-Resolution Breast Cancer Histopathology ImageLuyuan Xie, Cong Li, Zirui Wang, Xin Zhang, Boyan Chen, Qingni Shen, Zhonghai Wu. 23-32 [doi]
- cOOpD: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection Using Contrastive RepresentationsSilvia Dias Almeida, Carsten T. Lüth, Tobias Norajitra, Tassilo Wald, Marco Nolden, Paul F. Jäger, Claus Peter Heussel, Jürgen Biederer, Oliver Weinheimer, Klaus H. Maier-Hein. 33-43 [doi]
- YONA: You Only Need One Adjacent Reference-Frame for Accurate and Fast Video Polyp DetectionYuncheng Jiang, Zixun Zhang, Ruimao Zhang, Guanbin Li, Shuguang Cui, Zhen Li 0026. 44-54 [doi]
- Personalized Patch-Based Normality Assessment of Brain Atrophy in Alzheimer's DiseaseJianwei Zhang, Yonggang Shi. 55-62 [doi]
- Patients and Slides are Equal: A Multi-level Multi-instance Learning Framework for Pathological Image AnalysisFei Li, Mingyu Wang, Bin Huang, Xiaoyu Duan, Zhuya Zhang, Ziyin Ye, Bingsheng Huang. 63-71 [doi]
- Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient NetworkKe Yan 0006, Xiaoli Yin, Yingda Xia, Fakai Wang, Shu Wang, Yuan Gao, Jiawen Yao, Chunli Li, Xiaoyu Bai, Jingren Zhou, Ling Zhang, Le Lu 0001, Yu Shi. 72-82 [doi]
- Self- and Semi-supervised Learning for Gastroscopic Lesion DetectionXuanye Zhang, Kaige Yin, Siqi Liu, Zhijie Feng, Xiaoguang Han 0001, Guanbin Li, Xiang Wan. 83-93 [doi]
- DiffULD: Diffusive Universal Lesion DetectionPeiang Zhao, Han Li, Ruiyang Jin, S. Kevin Zhou. 94-105 [doi]
- Graph-Theoretic Automatic Lesion Tracking and Detection of Patterns of Lesion Changes in Longitudinal CT StudiesBeniamin Di Veroli, Richard Lederman, Jacob Sosna, Leo Joskowicz. 106-115 [doi]
- Learning with Synthesized Data for Generalizable Lesion Detection in Real PET ImagesXinyi Yang, Bennett Chin, Michael Silosky, Daniel Litwiller, Debashis Ghosh, Fuyong Xing. 116-126 [doi]
- Robust Exclusive Adaptive Sparse Feature Selection for Biomarker Discovery and Early Diagnosis of Neuropsychiatric Systemic Lupus ErythematosusTianhong Quan, Ye Yuan, Yu Luo 0004, Teng Zhou, Jing Qin 0001. 127-135 [doi]
- Multi-view Vertebra Localization and Identification from CT ImagesHan Wu, Jiadong Zhang, Yu Fang, Zhentao Liu, Nizhuan Wang 0002, Zhiming Cui, Dinggang Shen. 136-145 [doi]
- Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT ScansMingze Yuan, Yingda Xia, Xin Chen, Jiawen Yao, Junli Wang, Mingyan Qiu, Hexin Dong, Jingren Zhou, Bin Dong 0001, Le Lu 0001, Li Zhang, Zaiyi Liu, Ling Zhang. 146-156 [doi]
- Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain DistanceMilda Poceviciute, Gabriel Eilertsen, Stina Garvin, Claes Lundström. 157-167 [doi]
- Positive Definite Wasserstein Graph Kernel for Brain Disease DiagnosisKai Ma, Xuyun Wen, Qi Zhu 0001, Daoqiang Zhang. 168-177 [doi]
- A Reliable and Interpretable Framework of Multi-view Learning for Liver Fibrosis StagingZheyao Gao, Yuanye Liu, Fuping Wu, Nannan Shi, Yuxin Shi, Xiahai Zhuang. 178-188 [doi]
- Utilizing Longitudinal Chest X-Rays and Reports to Pre-fill Radiology ReportsQingqing Zhu, Tejas Sudharshan Mathai, Pritam Mukherjee, Yifan Peng, Ronald M. Summers, Zhiyong Lu. 189-198 [doi]
- Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction Like RadiologistsJianpeng Zhang, Xianghua Ye, Jianfeng Zhang, YuXing Tang, Minfeng Xu, Jianfei Guo, Xin Chen, Zaiyi Liu, Jingren Zhou, Le Lu 0001, Ling Zhang 0002. 199-209 [doi]
- Privacy-Preserving Early Detection of Epileptic Seizures in VideosDeval Mehta, Shobi Sivathamboo, Hugh Simpson, Patrick Kwan, Terence J. O'Brien, ZongYuan Ge. 210-219 [doi]
- Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative LearningZehua Ren, Yongheng Sun, Miaomiao Wang, Yuying Feng, Xianjun Li, Chao Jin, Jian Yang, Chunfeng Lian, Fan Wang. 220-229 [doi]
- Discovering Brain Network Dysfunction in Alzheimer's Disease Using Brain Hypergraph Neural NetworkHongmin Cai, Zhixuan Zhou, Defu Yang, Guorong Wu 0001, Jiazhou Chen. 230-240 [doi]
- Improved Prognostic Prediction of Pancreatic Cancer Using Multi-phase CT by Integrating Neural Distance and Texture-Aware TransformerHexin Dong, Jiawen Yao, YuXing Tang, Mingze Yuan, Yingda Xia, Jian Zhou, Hong Lu, Jingren Zhou, Bin Dong 0001, Le Lu 0001, Zaiyi Liu, Li Zhang, Yu Shi, Ling Zhang. 241-251 [doi]
- Contrastive Feature Decoupling for Weakly-Supervised Disease DetectionJhih-Ciang Wu, Ding-Jie Chen, Chiou-Shann Fuh. 252-261 [doi]
- Uncovering Heterogeneity in Alzheimer's Disease from Graphical Modeling of the Tau Spatiotemporal TopographyJiaxin Yue, Yonggang Shi. 262-271 [doi]
- Text-Guided Foundation Model Adaptation for Pathological Image ClassificationYunkun Zhang, Jin Gao, Mu Zhou, Xiaosong Wang, Yu Qiao, Shaoting Zhang 0001, Dequan Wang. 272-282 [doi]
- Multiple Prompt Fusion for Zero-Shot Lesion Detection Using Vision-Language ModelsMiaotian Guo, Huahui Yi, Ziyuan Qin, Haiying Wang, Aidong Men, Qicheng Lao. 283-292 [doi]
- Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly DetectionCosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel. 293-303 [doi]
- What Do AEs Learn? Challenging Common Assumptions in Unsupervised Anomaly DetectionCosmin I. Bercea, Daniel Rueckert, Julia A. Schnabel. 304-314 [doi]
- SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch EmbeddingsYejia Zhang, Pengfei Gu, Nishchal Sapkota, Danny Z. Chen. 315-326 [doi]
- Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage DetectionYunan Wu, Francisco M. Castro-Macías, Pablo Morales Álvarez, Rafael Molina 0001, Aggelos K. Katsaggelos. 327-337 [doi]
- DCAug: Domain-Aware and Content-Consistent Cross-Cycle Framework for Tumor AugmentationQikui Zhu, Lei Yin, Qian Tang, Yanqing Wang, Yanxiang Cheng, Shuo Li. 338-347 [doi]
- Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome EmbeddingZijian Dong, Yilei Wu, Yu Xiao, Joanna Su Xian Chong, Yueming Jin, Juan Helen Zhou. 348-357 [doi]
- CARL: Cross-Aligned Representation Learning for Multi-view Lung Cancer Histology ClassificationYin Luo, Wei Liu, Tao Fang, Qilong Song, Xuhong Min, Minghui Wang, Ao Li 0001. 358-367 [doi]
- Style-Based Manifold for Weakly-Supervised Disease Characteristic DiscoverySiyu Liu 0002, Linfeng Liu, Craig Engstrom, Xuan Vinh To, ZongYuan Ge, Stuart Crozier, Fatima A. Nasrallah, Shekhar S. Chandra. 368-378 [doi]
- COVID-19 Pneumonia Classification with Transformer from Incomplete ModalitiesEduard Lloret Carbonell, Yiqing Shen 0003, Xin Yang, Jing Ke. 379-388 [doi]
- Enhancing Breast Cancer Risk Prediction by Incorporating Prior ImagesHyeonsoo Lee, Junha Kim, Eunkyung Park, Minjeong Kim, Taesoo Kim, Thijs Kooi. 389-398 [doi]
- Uncertainty Inspired Autism Spectrum Disorder ScreeningYing Zhang, Yaping Huang, Jiansong Qi, Sihui Zhang, Mei Tian, Yi Tian. 399-408 [doi]
- Rad-ReStruct: A Novel VQA Benchmark and Method for Structured Radiology ReportingChantal Pellegrini, Matthias Keicher, Ege Özsoy, Nassir Navab. 409-419 [doi]
- Xplainer: From X-Ray Observations to Explainable Zero-Shot DiagnosisChantal Pellegrini, Matthias Keicher, Ege Özsoy, Petra Jiraskova, Rickmer Braren, Nassir Navab. 420-429 [doi]
- Towards Generalizable Diabetic Retinopathy Grading in Unseen DomainsHaoxuan Che, Yuhan Cheng, Haibo Jin, Hao Chen. 430-440 [doi]
- Boosting Breast Ultrasound Video Classification by the Guidance of Keyframe Feature CentersAnLan Sun, Zhao Zhang, Meng Lei, Yuting Dai, Dong Wang, Liwei Wang. 441-451 [doi]
- Learning with Domain-Knowledge for Generalizable Prediction of Alzheimer's Disease from Multi-site Structural MRIYanjie Zhou, Youhao Li, Feng Zhou, Yong Liu, Liyun Tu. 452-461 [doi]
- GSDG: Exploring a Global Semantic-Guided Dual-Stream Graph Model for Automated Volume Differential Diagnosis and PrognosisShouyu Chen, Xin Guo, Jianping Zhu, Yin Wang. 462-471 [doi]
- Improving Image-Based Precision Medicine with Uncertainty-Aware Causal ModelsJoshua Durso-Finley, Jean-Pierre R. Falet, Raghav Mehta, Douglas L. Arnold, Nick Pawlowski, Tal Arbel. 472-481 [doi]
- Diversity-Preserving Chest Radiographs Generation from Reports in One StageZeyi Hou, Ruixin Yan, Qizheng Wang, Ning Lang, Xiuzhuang Zhou. 482-492 [doi]
- Contrastive Masked Image-Text Modeling for Medical Visual Representation LearningCheng Chen, Aoxiao Zhong, Dufan Wu, Jie Luo, Quanzheng Li. 493-503 [doi]
- Adjustable Robust Transformer for High Myopia Screening in Optical Coherence TomographyXiao Ma, Zetian Zhang, Zexuan Ji, Kun Huang, Na Su, Songtao Yuan, Qiang Chen 0004. 504-514 [doi]
- Improving Outcome Prediction of Pulmonary Embolism by De-biased Multi-modality ModelZhusi Zhong, Jie Li, Shreyas Kulkarni, Yang Li, Fayez H. Fayad, Helen Zhang, Sun Ho Ahn, Harrison Bai, Xinbo Gao, Michael Atalay, Zhicheng Jiao. 515-525 [doi]
- Recruiting the Best Teacher Modality: A Customized Knowledge Distillation Method for if Based Nephropathy DiagnosisNing Dai, Lai Jiang, Yibing Fu, Sai Pan, Mai Xu, Xin Deng, Pu Chen, Xiangmei Chen. 526-536 [doi]
- Text-Guided Cross-Position Attention for Segmentation: Case of Medical ImageGo-Eun Lee, Seon Ho Kim, Jungchan Cho, Sang Tae Choi, Sang-Il Choi. 537-546 [doi]
- Visual-Attribute Prompt Learning for Progressive Mild Cognitive Impairment PredictionLuoyao Kang, Haifan Gong, Xiang Wan, Haofeng Li. 547-557 [doi]
- Acute Ischemic Stroke Onset Time Classification with Dynamic Convolution and Perfusion Maps FusionPeng Yang, Yuchen Zhang, Haijun Lei, Yueyan Bian, Qi Yang, Baiying Lei. 558-568 [doi]
- Self-supervised Learning for Endoscopic Video AnalysisRoy Hirsch, Mathilde Caron, Regev Cohen, Amir Livne, Ron Shapiro, Tomer Golany, Roman Goldenberg, Daniel Freedman, Ehud Rivlin. 569-578 [doi]
- Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR ImagesJinpeng Li 0004, Hanqun Cao, Jiaze Wang, Furui Liu, Qi Dou 0001, Guangyong Chen, Pheng-Ann Heng. 579-589 [doi]
- Self-supervised Polyp Re-identification in ColonoscopyYotam Intrator, Natalie Aizenberg, Amir Livne, Ehud Rivlin, Roman Goldenberg. 590-600 [doi]
- A Multimodal Disease Progression Model for Genetic Associations with Disease DynamicsNemo Fournier, Stanley Durrleman. 601-610 [doi]
- Visual Grounding of Whole Radiology Reports for 3D CT ImagesAkimichi Ichinose, Taro Hatsutani, Keigo Nakamura, Yoshiro Kitamura, Satoshi Iizuka, Edgar Simo-Serra, Shoji Kido, Noriyuki Tomiyama. 611-621 [doi]
- Identification of Disease-Sensitive Brain Imaging Phenotypes and Genetic Factors Using GWAS Summary StatisticsDuo Xi, Dingnan Cui, Jin Zhang, Muheng Shang, Minjianan Zhang, Lei Guo 0002, Junwei Han, Lei Du. 622-631 [doi]
- Revisiting Feature Propagation and Aggregation in Polyp SegmentationYanzhou Su, Yiqing Shen 0003, Jin Ye, Junjun He, Jian Cheng 0003. 632-641 [doi]
- MUVF-YOLOX: A Multi-modal Ultrasound Video Fusion Network for Renal Tumor DiagnosisJunyu Li, Han Huang, Dong Ni 0001, Wufeng Xue, Dongmei Zhu, Jun Cheng. 642-651 [doi]
- Unsupervised Classification of Congenital Inner Ear Malformations Using DeepDiffusion for Latent Space RepresentationPaula López Diez, Ján Margeta, Khassan Diab, François Patou, Rasmus R. Paulsen. 652-662 [doi]
- How Does Pruning Impact Long-Tailed Multi-label Medical Image Classifiers?Gregory Holste, Ziyu Jiang, Ajay Jaiswal, Maria Hanna, Shlomo Minkowitz, Alan C. Legasto, Joanna G. Escalon, Sharon Steinberger, Mark Bittman, Thomas C. Shen, Ying Ding 0001, Ronald M. Summers, George Shih, Yifan Peng, Zhangyang Wang. 663-673 [doi]
- Multimodal Deep Fusion in Hyperbolic Space for Mild Cognitive Impairment StudyLu Zhang 0050, Saiyang Na, Tianming Liu, Dajiang Zhu, JunZhou Huang. 674-684 [doi]
- Hierarchical Vision Transformers for Disease Progression Detection in Chest X-Ray ImagesAmarachi Mbakawe, Lyuyang Wang, Mehdi Moradi, Ismini Lourentzou. 685-695 [doi]
- Improved Flexibility and Interpretability of Large Vessel Stroke Prognostication Using Image Synthesis and Multi-task LearningMinyan Zeng, Yutong Xie, Minh-Son To, Lauren Oakden-Rayner, Luke Whitbread, Stephen Bacchi, Alix Bird, Luke Smith, Rebecca Scroop, Timothy Kleinig, Jim Jannes, Lyle J. Palmer, Mark Jenkinson. 696-705 [doi]
- Transformer-Based Tooth Segmentation, Identification and Pulp Calcification Recognition in CBCTShangxuan Li, Chichi Li, Yu Du, Li Ye, Yanshu Fang, Cheng Wang, Wu Zhou 0002. 706-714 [doi]
- Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular DataWenao Ma, Cheng Chen 0013, Jill M. Abrigo, Calvin Hoi-Kwan Mak, Yuqi Gong, Nga Yan Chan, Chu Han, Zaiyi Liu, Qi Dou 0001. 715-725 [doi]
- Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language ModelsTom van Sonsbeek, Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Cees G. M. Snoek, Marcel Worring. 726-736 [doi]
- Flexible Unfolding of Circular Structures for Rendering Textbook-Style Cerebrovascular MapsLeonhard Rist, Oliver Taubmann, Hendrik Ditt, Michael Sühling, Andreas K. Maier. 737-746 [doi]
- Dynamic Curriculum Learning via In-Domain Uncertainty for Medical Image ClassificationChaoyi Li, Meng Li, Can Peng, Brian C. Lovell. 747-757 [doi]
- Joint Prediction of Response to Therapy, Molecular Traits, and Spatial Organisation in Colorectal Cancer BiopsiesRuby Wood, Enric Domingo, Korsuk Sirinukunwattana, Maxime W. Lafarge, Viktor H. Koelzer, Timothy S. Maughan, Jens Rittscher. 758-767 [doi]
- Distributionally Robust Image Classifiers for Stroke Diagnosis in Accelerated MRIBoran Hao, Guoyao Shen, Ruidi Chen, Chad W. Farris, Stephan W. Anderson, Xin Zhang, Ioannis Ch. Paschalidis. 768-777 [doi]
- M&M: Tackling False Positives in Mammography with a Multi-view and Multi-instance Learning Sparse DetectorYen Nhi Truong Vu, Dan Guo, Ahmed Taha 0001, Jason Su, Thomas Paul Matthews. 778-788 [doi]
- Convolving Directed Graph Edges via Hodge Laplacian for Brain Network AnalysisJoonhyuk Park, Yechan Hwang, Minjeong Kim, Moo K. Chung, Guorong Wu 0001, Won Hwa Kim. 789-799 [doi]