Table of Contents

• Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel SegmentationZhe Xu, Donghuan Lu, Yixin Wang, Jie Luo 0003, Jagadeesan Jayender, Kai Ma 0002, Yefeng Zheng, Xiu Li. 3-13 [doi]
• TransFuse: Fusing Transformers and CNNs for Medical Image SegmentationYundong Zhang 0001, Huiye Liu, Qiang Hu. 14-24 [doi]
• Pancreas CT Segmentation by Predictive PhenotypingYucheng Tang, Riqiang Gao, Ho Hin Lee, Qi Yang, Xin Yu, Yuyin Zhou, Shunxing Bao, Yuankai Huo, Jeffrey M. Spraggins, Jack Virostko, Zhoubing Xu, Bennett A. Landman. 25-35 [doi]
• Medical Transformer: Gated Axial-Attention for Medical Image SegmentationJeya Maria Jose Valanarasu, Poojan Oza, Ilker Hacihaliloglu, Vishal M. Patel. 36-46 [doi]
• Anatomy-Constrained Contrastive Learning for Synthetic Segmentation Without Ground-TruthBo Zhou 0009, Chi Liu, James S. Duncan. 47-56 [doi]
• Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy LabelsYuQian Zhou, Hanchao Yu, Humphrey Shi. 57-67 [doi]
• Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region InpaintingYue Zhang, Chengtao Peng, Liying Peng, Huimin Huang, Ruofeng Tong 0001, Lanfen Lin, Jingsong Li, Yen-Wei Chen 0001, Qingqing Chen, Hongjie Hu, Zhiyi Peng. 68-77 [doi]
• Convolution-Free Medical Image Segmentation Using TransformersDavood Karimi, Serge Vasylechko, Ali Gholipour. 78-88 [doi]
• Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained NetworksJie Wei, Feng Shi 0001, Zhiming Cui, Yongsheng Pan, Yong Xia, Dinggang Shen. 89-98 [doi]
• A Multi-branch Hybrid Transformer Network for Corneal Endothelial Cell SegmentationYinglin Zhang, Risa Higashita, Huazhu Fu, Yanwu Xu, Yang Zhang, Haofeng Liu, Jian Zhang, Jiang Liu. 99-108 [doi]
• TransBTS: Multimodal Brain Tumor Segmentation Using TransformerWenxuan Wang, Chen Chen 0001, Meng Ding 0001, Hong Yu, Sen Zha, Jiangyun Li. 109-119 [doi]
• Automatic Polyp Segmentation via Multi-scale Subtraction NetworkXiaoqi Zhao, Lihe Zhang, Huchuan Lu. 120-130 [doi]
• Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised GuidanceHongyi Wang, Lanfen Lin, Hongjie Hu, Qingqing Chen, Yinhao Li, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen 0001, Ruofeng Tong 0001. 131-141 [doi]
• Progressively Normalized Self-Attention Network for Video Polyp SegmentationGe-Peng Ji, Yu-Cheng Chou, Deng-Ping Fan, Geng Chen 0001, Huazhu Fu, Debesh Jha, Ling Shao 0001. 142-152 [doi]
• SGNet: Structure-Aware Graph-Based Network for Airway Semantic SegmentationZimeng Tan, Jianjiang Feng, Jie Zhou. 153-163 [doi]
• NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter ScaleZudi Lin, Donglai Wei, Mariela D. Petkova, Yuelong Wu, Zergham Ahmed, Krishna Swaroop K, Silin Zou, Nils Wendt, Jonathan Boulanger-Weill, Xueying Wang, Nagaraju Dhanyasi, Ignacio Arganda-Carreras, Florian Engert, Jeff Lichtman, Hanspeter Pfister. 164-174 [doi]
• AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical RegionsDonglai Wei, Kisuk Lee, Hanyu Li, Ran Lu, J. Alexander Bae, Zequan Liu, Lifu Zhang, Márcia dos Santos, Zudi Lin, Thomas D. Uram, Xueying Wang, Ignacio Arganda-Carreras, Brian Matejek, Narayanan Kasthuri, Jeff Lichtman, Hanspeter Pfister. 175-185 [doi]
• Improved Brain Lesion Segmentation with Anatomical Priors from Healthy SubjectsChenghao Liu, Xiangzhu Zeng, Kongming Liang, Yizhou Yu, Chuyang Ye. 186-195 [doi]
• CarveMix: A Simple Data Augmentation Method for Brain Lesion SegmentationXinru Zhang, Chenghao Liu, Ni Ou, Xiangzhu Zeng, Xiaoliang Xiong, Yizhou Yu, Zhiwen Liu, Chuyang Ye. 196-205 [doi]
• Boundary-Aware Transformers for Skin Lesion SegmentationJiacheng Wang, Lan Wei, Liansheng Wang, Qichao Zhou, Lei Zhu 0003, Jing Qin 0001. 206-216 [doi]
• A Topological-Attention ConvLSTM Network and Its Application to EM ImagesJiaqi Yang 0007, Xiaoling Hu 0002, Chao Chen 0012, Chialing Tsai. 217-228 [doi]
• BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image SegmentationXinyi Wang, Tiange Xiang, Chaoyi Zhang, Yang Song 0001, Dongnan Liu, Heng Huang, Weidong Cai 0001. 229-238 [doi]
• Multi-task, Multi-domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric DatasetsArnaud Boutillon, Pierre-Henri Conze, Christelle Pons, Valérie Burdin, Bhushan Borotikar. 239-249 [doi]
• TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in SegmentationsMadeleine K. Wyburd, Nicola K. Dinsdale, Ana I. L. Namburete, Mark Jenkinson. 250-260 [doi]
• Learning Consistency- and Discrepancy-Context for 2D Organ SegmentationLei Li, Sheng Lian, Zhiming Luo, Shaozi Li, Beizhan Wang, Shuo Li 0001. 261-270 [doi]
• Partially-Supervised Learning for Vessel Segmentation in Ocular ImagesYanyu Xu, Xinxing Xu, Lei Jin, Shenghua Gao, Rick Siow Mong Goh, Daniel Shu Wei Ting, Yong Liu 0026. 271-281 [doi]
• Unsupervised Network Learning for Cell SegmentationLiang Han, Zhaozheng Yin. 282-292 [doi]
• MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source LabelsZiyuan Zhao, Kaixin Xu, Shumeng Li, Zeng Zeng, Cuntai Guan. 293-303 [doi]
• Context-Aware Virtual Adversarial Training for Anatomically-Plausible SegmentationPing Wang 0016, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang 0001, Christian Desrosiers. 304-314 [doi]
• Interactive Segmentation via Deep Learning and B-Spline Explicit Active SurfacesHelena Williams, João Pedrosa, Laura Cattani, Susanne Housmans, Tom Vercauteren, Jan Deprest, Jan D'hooge. 315-325 [doi]
• Multi-compound Transformer for Accurate Biomedical Image SegmentationYuanfeng Ji, Ruimao Zhang, Huijie Wang, Zhen Li 0026, Lingyun Wu, Shaoting Zhang, Ping Luo 0002. 326-336 [doi]
• kCBAC-Net: Deeply Supervised Complete Bipartite Networks with Asymmetric Convolutions for Medical Image SegmentationPengfei Gu, Hao Zheng 0006, Yizhe Zhang, Chaoli Wang 0001, Danny Z. Chen. 337-347 [doi]
• Multi-frame Attention Network for Left Ventricle Segmentation in 3D EchocardiographyShawn S. Ahn, Kevinminh Ta, Stephanie Thorn, Jonathan Langdon, Albert J. Sinusas, James S. Duncan. 348-357 [doi]
• Coarse-To-Fine Segmentation of Organs at Risk in Nasopharyngeal Carcinoma RadiotherapyQiankun Ma, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang. 358-368 [doi]
• Joint Segmentation and Quantification of Main Coronary Vessels Using Dual-Branch Multi-scale Attention NetworkHongwei Zhang, Dong Zhang, Zhifan Gao, Heye Zhang. 369-378 [doi]
• A Spatial Guided Self-supervised Clustering Network for Medical Image SegmentationEuijoon Ahn, Dagan Feng, Jinman Kim. 379-388 [doi]
• Comprehensive Importance-Based Selective Regularization for Continual Segmentation Across Multiple SitesJingyang Zhang, Ran Gu, Guotai Wang, Lixu Gu. 389-399 [doi]
• ReSGAN: Intracranial Hemorrhage Segmentation with Residuals of Synthetic Brain CT ScansMiika Toikkanen, Doyoung Kwon, Minho Lee 0001. 400-409 [doi]
• Refined Local-imbalance-based Weight for Airway Segmentation in CTHao Zheng, Yulei Qin, Yun Gu, Fangfang Xie, Jiayuan Sun, Jie Yang 0002, Guang-Zhong Yang. 410-419 [doi]
• Selective Learning from External Data for CT Image SegmentationYouyi Song, Lequan Yu, Baiying Lei, Kup-Sze Choi, Jing Qin 0001. 420-430 [doi]
• Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCTDmitrii Lachinov, Philipp Seeböck, Julia Mai, Felix Goldbach, Ursula Schmidt-Erfurth, Hrvoje Bogunovic. 431-441 [doi]
• MouseGAN: GAN-Based Multiple MRI Modalities Synthesis and Segmentation for Mouse Brain StructuresZiqi Yu, Yuting Zhai, Xiaoyang Han, Tingying Peng, Xiao-yong Zhang. 442-450 [doi]
• Style Curriculum Learning for Robust Medical Image SegmentationZhendong Liu, Manh The Van, Xin Yang 0009, Xiaoqiong Huang, Karim Lekadir, Víctor M. Campello, Nishant Ravikumar, Alejandro F. Frangi, Dong Ni 0001. 451-460 [doi]
• Towards Efficient Human-Machine Collaboration: Real-Time Correction Effort Prediction for Ultrasound Data AcquisitionYukun Ding, Dewen Zeng, Mingqi Li, Hongwen Fei, Haiyun Yuan, Meiping Huang, Jian Zhuang, Yiyu Shi. 461-470 [doi]
• Residual Feedback Network for Breast Lesion Segmentation in Ultrasound ImageKe Wang, Shujun Liang, Yu Zhang. 471-481 [doi]
• Learning to Address Intra-segment Misclassification in Retinal ImagingYukun Zhou, Moucheng Xu, Yipeng Hu, Hongxiang Lin, Joseph Jacob, Pearse A. Keane, Daniel C. Alexander. 482-492 [doi]
• Flip Learning: Erase to SegmentYuhao Huang, Xin Yang 0009, Yuxin Zou, Chaoyu Chen, Jian Wang, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Jianqiao Zhou, Dong Ni 0001. 493-502 [doi]
• DC-Net: Dual Context Network for 2D Medical Image SegmentationRongtao Xu, Changwei Wang, Shibiao Xu, Weiliang Meng, Xiaopeng Zhang 0001. 503-513 [doi]
• LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel SegmentationDewei Hu, Can Cui, Hao Li, Kathleen E. Larson, Yuankai K. Tao, Ipek Oguz. 514-524 [doi]
• Superpixel-Guided Iterative Learning from Noisy Labels for Medical Image SegmentationShuailin Li, Zhitong Gao, Xuming He 0001. 525-535 [doi]
• A Hybrid Attention Ensemble Framework for Zonal Prostate SegmentationMingyan Qiu, Chenxi Zhang, Zhijian Song. 536-547 [doi]
• 3D-UCaps: 3D Capsules Unet for Volumetric Image SegmentationTan Nguyen, Binh-Son Hua, Ngan Le. 548-558 [doi]
• HRENet: A Hard Region Enhancement Network for Polyp SegmentationYutian Shen, Xiao Jia 0005, Max Q.-H. Meng. 559-568 [doi]
• A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT ImagesZijie Chen, Cheng Li 0008, Junjun He, Jin Ye, Diping Song, Shanshan Wang 0002, Lixu Gu, Yu Qiao 0001. 569-578 [doi]
• TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor SegmentationJiawei Yang, Yao Zhang, Yuan Liang, Yang Zhang, Lei He, Zhiqiang He. 579-588 [doi]
• Modality-Aware Mutual Learning for Multi-modal Medical Image SegmentationYao Zhang, Jiawei Yang, Jiang Tian, Zhongchao Shi, Cheng Zhong, Yang Zhang, Zhiqiang He. 589-599 [doi]
• Hybrid Graph Convolutional Neural Networks for Landmark-Based Anatomical SegmentationNicolás Gaggion, Lucas Mansilla, Diego H. Milone, Enzo Ferrante. 600-610 [doi]
• RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT ScansJiancheng Yang, Shixuan Gu, Donglai Wei, Hanspeter Pfister, Bingbing Ni. 611-621 [doi]
• Hierarchical Self-supervised Learning for Medical Image Segmentation Based on Multi-domain Data AggregationHao Zheng 0006, Jun Han, Hongxiao Wang, Lin Yang 0003, Zhuo Zhao, Chaoli Wang 0001, Danny Z. Chen. 622-632 [doi]
• CCBANet: Cascading Context and Balancing Attention for Polyp SegmentationTan-Cong Nguyen, Tien-Phat Nguyen, Gia-Han Diep, Anh-Huy Tran-Dinh, Tam V. Nguyen, Minh-Triet Tran. 633-643 [doi]
• Point-Unet: A Context-Aware Point-Based Neural Network for Volumetric SegmentationNgoc-Vuong Ho, Tan Nguyen, Gia-Han Diep, Ngan Le, Binh-Son Hua. 644-655 [doi]
• TUN-Det: A Novel Network for Thyroid Ultrasound Nodule DetectionAtefeh Shahroudnejad, Xuebin Qin, Sharanya Balachandran, Masood Dehghan, Dornoosh Zonoobi, Jacob Jaremko, Jeevesh Kapur, Martin Jägersand, Michelle Noga, Kumaradevan Punithakumar. 656-667 [doi]
• Distilling Effective Supervision for Robust Medical Image Segmentation with Noisy LabelsJialin Shi, Ji Wu. 668-677 [doi]
• High-Resolution Segmentation of Lumbar Vertebrae from Conventional Thick Slice MRIFederico Turella, Gustav Bredell, Alexander Okupnik, Sebastiano Caprara, Dimitri Graf, Reto Sutter, Ender Konukoglu. 689-698 [doi]
• Shallow Attention Network for Polyp SegmentationJun Wei, Yiwen Hu, Ruimao Zhang, Zhen Li 0026, S. Kevin Zhou, Shuguang Cui. 699-708 [doi]
• A Line to Align: Deep Dynamic Time Warping for Retinal OCT SegmentationHeiko Maier, Shahrooz Faghihroohi, Nassir Navab. 709-719 [doi]
• Learnable Oriented-Derivative Network for Polyp SegmentationMengjun Cheng, Zishang Kong, Guoli Song, Yonghong Tian 0001, Yongsheng Liang, Jie Chen 0001. 720-730 [doi]
• LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-Weighted MR ImagesYanglan Ou, Ye Yuan, Xiaolei Huang, Kelvin Wong, John Volpi, James Z. Wang, Stephen T. C. Wong. 731-741 [doi]