Table of Contents

• DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans Using Anatomical Context Encoding and Key Organ Auto-SearchDazhou Guo, Xianghua Ye, Jia Ge, Xing Di, Le Lu 0001, Lingyun Huang, Guotong Xie, Jing Xiao 0006, Zhongjie Lu, Ling Peng, Senxiang Yan, Dakai Jin. 3-12 [doi]
• Hepatocellular Carcinoma Segmentation from Digital Subtraction Angiography Videos Using Learnable Temporal DifferenceWenting Jiang, Yicheng Jiang, Lu Zhang, Changmiao Wang, Xiaoguang Han, Shuixing Zhang, Xiang Wan, Shuguang Cui. 13-22 [doi]
• CA-Net: Leveraging Contextual Features for Lung Cancer PredictionMingzhou Liu, Fandong Zhang, Xinwei Sun 0001, Yizhou Yu, Yizhou Wang 0001. 23-32 [doi]
• Semi-supervised Learning for Bone Mineral Density Estimation in Hip X-Ray ImagesKang Zheng, Yirui Wang 0002, Xiao-Yun Zhou, Fakai Wang, Le Lu 0001, Chihung Lin, Lingyun Huang, Guotong Xie, Jing Xiao 0006, Chang-Fu Kuo, Shun Miao. 33-42 [doi]
• DAE-GCN: Identifying Disease-Related Features for Disease PredictionChu-ran Wang, Xinwei Sun 0001, Fandong Zhang, Yizhou Yu, Yizhou Wang 0001. 43-52 [doi]
• Enhanced Breast Lesion Classification via Knowledge Guided Cross-Modal and Semantic Data AugmentationKun Chen, Yuanfan Guo, Canqian Yang, Yi Xu, Rui Zhang 0052, Chunxiao Li, Rong Wu. 53-63 [doi]
• Multiple Meta-model Quantifying for Medical Visual Question AnsweringTuong Do, Binh X. Nguyen, Erman Tjiputra, Minh Tran, Quang D. Tran, Anh Nguyen. 64-74 [doi]
• mfTrans-Net: Quantitative Measurement of Hepatocellular Carcinoma via Multi-Function Transformer Regression NetworkJianfeng Zhao 0004, Xiaojiao Xiao, Dengwang Li, Jaron Chong, Zahra Kassam, Bo Chen 0013, Shuo Li 0001. 75-84 [doi]
• You only Learn Once: Universal Anatomical Landmark DetectionHeqin Zhu, Qingsong Yao, Li Xiao, S. Kevin Zhou. 85-95 [doi]
• A Coherent Cooperative Learning Framework Based on Transfer Learning for Unsupervised Cross-Domain ClassificationXinxin Shan, Ying Wen, Qingli Li, Yue Lu, Haibin Cai. 96-106 [doi]
• Towards a Non-invasive Diagnosis of Portal Hypertension Based on an Eulerian CFD Model with Diffuse Boundary ConditionsLixin Ren, Shang Wan, Yi Wei, Xiaowei He, Bin Song, Enhua Wu. 107-116 [doi]
• A Segmentation-Assisted Model for Universal Lesion Detection with Partial LabelsFei Lyu, Baoyao Yang, Andy J. Ma, Pong C. Yuen. 117-127 [doi]
• Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical ImagesYu Tian, Guansong Pang, Fengbei Liu, Yuanhong Chen, Seon-Ho Shin, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro. 128-140 [doi]
• Conditional Training with Bounding Map for Universal Lesion DetectionHan Li, Long Chen, Hu Han 0001, Ying Chi, S. Kevin Zhou. 141-152 [doi]
• Focusing on Clinically Interpretable Features: Selective Attention Regularization for Liver Biopsy Image ClassificationChong Yin, Siqi Liu, Rui Shao, Pong C. Yuen. 153-162 [doi]
• Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image ClassificationXiaohan Xing, Yuenan Hou, Hang Li, Yixuan Yuan, Hongsheng Li 0001, Max Q.-H. Meng. 163-173 [doi]
• Tensor-Based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-State fMRIDongren Yao, Erkun Yang, Hao Guan, Jing Sui, Zhizhong Zhang, Mingxia Liu. 174-184 [doi]
• Region Ensemble Network for MCI Conversion Prediction with a Relation Regularized LossYuan-Xing Zhao, Yan-Ming Zhang, Ming Song, Cheng-Lin Liu. 185-194 [doi]
• Airway Anomaly Detection by Prototype-Based Graph Neural NetworkTianyi Zhao, Zhaozheng Yin. 195-204 [doi]
• Energy-Based Supervised Hashing for Multimorbidity Image RetrievalPeng Huang, Xiuzhuang Zhou, Zeqiang Wei, Guodong Guo. 205-214 [doi]
• Stochastic 4D Flow Vector-Field Signatures: A New Approach for Comprehensive 4D Flow MRI QuantificationMohammed S. M. ElBaz, Chris Malaisrie, Patrick McCarthy, Michael Markl 0001. 215-224 [doi]
• Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-LabelingCheng Chen 0013, Quande Liu, Yueming Jin, Qi Dou, Pheng-Ann Heng. 225-235 [doi]
• ASC-Net: Adversarial-Based Selective Network for Unsupervised Anomaly SegmentationRaunak Dey, Yi Hong. 236-247 [doi]
• Cost-Sensitive Meta-learning for Progress Prediction of Subjective Cognitive Decline with Brain Structural MRIHao Guan, Yunbi Liu, Shifu Xiao, Ling Yue, Mingxia Liu. 248-258 [doi]
• Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware TransformersYingda Xia, Jiawen Yao, Le Lu 0001, Lingyun Huang, Guotong Xie, Jing Xiao 0006, Alan L. Yuille, Kai Cao, Ling Zhang. 259-269 [doi]
• Learning from Subjective Ratings Using Auto-Decoded Deep Latent EmbeddingsBowen Li, Xinping Ren, Ke Yan 0006, Le Lu 0001, Lingyun Huang, Guotong Xie, Jing Xiao 0006, Dar-In Tai, Adam P. Harrison. 270-280 [doi]
• VertNet: Accurate Vertebra Localization and Identification Network from CT ImagesZhiming Cui, Changjian Li, Lei Yang 0048, Chunfeng Lian, Feng Shi 0001, Wenping Wang, Dijia Wu, Dinggang Shen. 281-290 [doi]
• VinDr-SpineXR: A Deep Learning Framework for Spinal Lesions Detection and Classification from RadiographsHieu T. Nguyen, Hieu H. Pham, Nghia T. Nguyen, Ha Q. Nguyen 0001, Thang Q. Huynh, Minh Dao, Van Vu. 291-301 [doi]
• Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature TransformationLingyun Wu, Zhiqiang Hu, Yuanfeng Ji, Ping Luo 0002, Shaoting Zhang. 302-312 [doi]
• MBFF-Net: Multi-Branch Feature Fusion Network for Carotid Plaque Segmentation in UltrasoundShiyu Mi, Qiqi Bao, Zhanghong Wei, Fan Xu, Wenming Yang. 313-322 [doi]
• Balanced-MixUp for Highly Imbalanced Medical Image ClassificationAdrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester. 323-333 [doi]
• Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of SeizuresFernando Pérez-García, Catherine J. Scott, Rachel Sparks, Beate Diehl, Sébastien Ourselin. 334-344 [doi]
• Retina-Match: Ipsilateral Mammography Lesion Matching in a Single Shot Detection PipelineYinhao Ren, Jiafeng Lu, Zisheng Liang, Lars J. Grimm, Connie E. Kim, Michael Taylor-Cho, Sora Yoon, Jeffrey R. Marks, Joseph Y. Lo. 345-354 [doi]
• Towards Robust Dual-View Transformation via Densifying Sparse Supervision for Mammography Lesion MatchingJunlin Xian, Zhiwei Wang, Kwang-Ting Cheng, Xin Yang. 355-365 [doi]
• DeepOPG: Improving Orthopantomogram Finding Summarization with Weak SupervisionTzu-Ming Harry Hsu, Yin-Chih Chelsea Wang. 366-376 [doi]
• Joint Spinal Centerline Extraction and Curvature Estimation with Row-Wise Classification and Curve Graph NetworkLong Huo, Bin Cai, Pengpeng Liang, Zhiyong Sun, Chi Xiong, Chaoshi Niu, Bo Song, Erkang Cheng. 377-386 [doi]
• LDPolypVideo Benchmark: A Large-Scale Colonoscopy Video Dataset of Diverse PolypsYiting Ma, Xuejin Chen, Kai Cheng, Yang Li, Bin Sun. 387-396 [doi]
• Continual Learning with Bayesian Model Based on a Fixed Pre-trained Feature ExtractorYang Yang, Zhiying Cui, Junjie Xu, Changhong Zhong 0001, Ruixuan Wang, Wei-Shi Zheng. 397-406 [doi]
• Alleviating Data Imbalance Issue with Perturbed Input During InferenceKanghao Chen, Yifan Mao, Huijuan Lu, Chenghua Zeng, Ruixuan Wang, Wei-Shi Zheng. 407-417 [doi]
• A Deep Reinforced Tree-Traversal Agent for Coronary Artery Centerline ExtractionZhuowei Li, Qing Xia, Zhiqiang Hu, Wenji Wang, Lijian Xu, Shaoting Zhang. 418-428 [doi]
• Sequential Gaussian Process Regression for Simultaneous Pathology Detection and Shape ReconstructionDana Rahbani, Andreas Morel-Forster, Dennis Madsen, Jonathan Aellen, Thomas Vetter. 429-438 [doi]
• Predicting Symptoms from Multiphasic MRI via Multi-instance Attention Learning for Hepatocellular Carcinoma GradingZelin Qiu, Yongsheng Pan, Jie Wei, Dijia Wu, Yong Xia, Dinggang Shen. 439-448 [doi]
• Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture GradingYuexiang Li, Yanping Wang, Guang Lin, Yi Lin, Dong Wei 0004, Qirui Zhang, Kai Ma 0002, Guangming Lu, Zhiqiang Zhang, Yefeng Zheng. 449-458 [doi]
• Data Augmentation in Logit Space for Medical Image Classification with Limited Training DataYangwen Hu, Zhehao Zhong, Ruixuan Wang, Hongmei Liu, Zhijun Tan, Wei-Shi Zheng. 469-479 [doi]
• Collaborative Image Synthesis and Disease Diagnosis for Classification of Neurodegenerative Disorders with Incomplete Multi-modal NeuroimagesYongsheng Pan, Yuanyuan Chen, Dinggang Shen, Yong Xia. 480-489 [doi]
• Seg4Reg+: Consistency Learning Between Spine Segmentation and Cobb Angle RegressionYi Lin, Luyan Liu, Kai Ma 0002, Yefeng Zheng. 490-499 [doi]
• Meta-modulation Network for Domain Generalization in Multi-site fMRI ClassificationJaein Lee, Eunsong Kang, Eunjin Jeon, Heung-Il Suk. 500-509 [doi]
• 3D Brain Midline Delineation for Hematoma PatientsChenchen Qin, Haoming Li, Yixun Liu, Hong Shang, Hanqi Pei, Xiaoning Wang, Yihao Chen, Jianbo Chang, Ming Feng, Renzhi Wang, Jianhua Yao. 510-518 [doi]
• Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease ClassificationJinghan Sun, Dong Wei 0004, Kai Ma 0002, Liansheng Wang, Yefeng Zheng. 519-529 [doi]
• nnDetection: A Self-configuring Method for Medical Object DetectionMichael Baumgartner, Paul F. Jäger, Fabian Isensee, Klaus H. Maier-Hein. 530-539 [doi]
• Automating Embryo Development Stage Detection in Time-Lapse Imaging with Synergic Loss and Temporal LearningLisette Lockhart, Parvaneh Saeedi, Jason Au, Jon Havelock. 540-549 [doi]
• Deep Neural Dynamic Bayesian Networks Applied to EEG Sleep Spindles ModelingCarlos A. Loza, Laura L. Colgin. 550-560 [doi]
• Few Trust Data Guided Annotation Refinement for Upper Gastrointestinal Anatomy RecognitionYan Li, Kai Lan, Xiaoyi Chen, Li Quan, Ni Zhang. 561-570 [doi]
• Asymmetric 3D Context Fusion for Universal Lesion DetectionJiancheng Yang, Yi He, Kaiming Kuang, Zudi Lin, Hanspeter Pfister, Bingbing Ni. 571-580 [doi]
• Detecting Outliers with Poisson Image InterpolationJeremy Tan, Benjamin Hou, Thomas Day, John M. Simpson, Daniel Rueckert, Bernhard Kainz. 581-591 [doi]
• MG-NET: Leveraging Pseudo-imaging for Multi-modal Metagenome AnalysisSathyanarayanan N. Aakur, Sai Narayanan, Vineela Indla, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran. 592-602 [doi]
• Multimodal Multitask Deep Learning for X-Ray Image RetrievalYang Yu, Peng Hu, Jie Lin, Pavitra Krishnaswamy. 603-613 [doi]
• Linear Prediction Residual for Efficient Diagnosis of Parkinson's Disease from GaitShanmukh Alle, U. Deva Priyakumar. 614-623 [doi]
• Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis DetectionApostolia Tsirikoglou, Karin Stacke, Gabriel Eilertsen, Jonas Unger. 624-633 [doi]
• Radiomics-Informed Deep Curriculum Learning for Breast Cancer DiagnosisGiacomo Nebbia, Saba Dadsetan, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Heng Huang, Shandong Wu. 634-643 [doi]
• Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation PerspectiveRiqiang Gao, Yucheng Tang, Kaiwen Xu, Ho Hin Lee, Steve Deppen, Kim L. Sandler, Pierre P. Massion, Thomas A. Lasko, Yuankai Huo, Bennett A. Landman. 647-656 [doi]
• Co-graph Attention Reasoning Based Imaging and Clinical Features Integration for Lymph Node Metastasis PredictionHui Cui, Ping Xuan, Qiangguo Jin, Mingjun Ding, Butuo Li, Bing Zou, Yiyue Xu, Bingjie Fan, Wanlong Li, Jinming Yu, Linlin Wang, Henry B.-L. Duh. 657-666 [doi]
• Deep Orthogonal Fusion: Multimodal Prognostic Biomarker Discovery Integrating Radiology, Pathology, Genomic, and Clinical DataNathaniel Braman, Jacob W. H. Gordon, Emery T. Goossens, Caleb Willis, Martin C. Stumpe, Jagadish Venkataraman. 667-677 [doi]
• A Novel Bayesian Semi-parametric Model for Learning Heritable Imaging TraitsYize Zhao, Xiwen Zhao, Mansu Kim, Jingxuan Bao, Li Shen 0001. 678-687 [doi]
• Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map TransformSebastian Pölsterl, Tom Nuno Wolf, Christian Wachinger. 688-698 [doi]
• Image-Derived Phenotype Extraction for Genetic Discovery via Unsupervised Deep Learning in CMR ImagesRodrigo Bonazzola, Nishant Ravikumar, Rahman Attar, Enzo Ferrante, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi. 699-708 [doi]
• GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent InferenceMahsa Ghorbani, Mojtaba Bahrami, Anees Kazi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Nassir Navab. 709-718 [doi]
• Predicting Esophageal Fistula Risks Using a Multimodal Self-attention NetworkYulu Guan, Hui Cui, Yiyue Xu, Qiangguo Jin, Tian Feng, Huawei Tu, Ping Xuan, Wanlong Li, Linlin Wang, Henry Been-Lirn Duh. 721-730 [doi]
• Hybrid Aggregation Network for Survival Analysis from Whole Slide Histopathological ImagesJia-Ren Chang, Ching-Yi Lee, Chi-Chung Chen, Joachim Reischl, Talha Qaiser, Chao-Yuan Yeh. 731-740 [doi]
• Intracerebral Haemorrhage Growth Prediction Based on Displacement Vector Field and Clinical MetadataTing Xiao, Han Zheng, Xiaoning Wang, Xinghan Chen, Jianbo Chang, Jianhua Yao, Hong Shang, Peng Liu. 741-751 [doi]
• AMINN: Autoencoder-Based Multiple Instance Neural Network Improves Outcome Prediction in Multifocal Liver MetastasesJianan Chen 0001, Helen M. C. Cheung, Laurent Milot, Anne L. Martel. 752-761 [doi]
• Survival Prediction Based on Histopathology Imaging and Clinical Data: A Novel, Whole Slide CNN ApproachSaloni Agarwal, Mohamedelfatih Eltigani Osman Abaker, Ovidiu Daescu. 762-771 [doi]
• Beyond Non-maximum Suppression - Detecting Lesions in Digital Breast Tomosynthesis VolumesYoel Shoshan, Aviad Zlotnick, Vadim Ratner, Daniel Khapun, Ella Barkan, Flora Gilboa-Solomon. 772-781 [doi]
• A Structural Causal Model for MR Images of Multiple SclerosisJacob C. Reinhold, Aaron Carass, Jerry L. Prince. 782-792 [doi]
• EMA: Auditing Data Removal from Trained ModelsYangsibo Huang, Xiaoxiao Li, Kai Li. 793-803 [doi]
• AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-RayNkechinyere N. Agu, Joy T. Wu, Hanqing Chao, Ismini Lourentzou, Arjun Sharma, Mehdi Moradi, Pingkun Yan, James A. Hendler. 804-813 [doi]
• Attention-Based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression PredictionAishik Konwer, Joseph Bae, Gagandeep Singh, Rishabh Gattu, Syed Ali, Jeremy Green, Tej Phatak, Prateek Prasanna. 824-833 [doi]