Table of Contents

• An End-to-End Combinatorial Optimization Method for R-band Chromosome Recognition with Grouping Guided AttentionChao Xia, Jiyue Wang, Yulei Qin, Yun Gu, Bing Chen, Jie Yang. 3-13 [doi]
• Efficient Biomedical Instance Segmentation via Knowledge DistillationXiaoyu Liu, Bo Hu, Wei Huang, Yueyi Zhang, Zhiwei Xiong. 14-24 [doi]
• Tracking by Weakly-Supervised Learning and Graph Optimization for Whole-Embryo C. elegans lineagesPeter Hirsch, Caroline Malin-Mayor, Anthony Santella, Stephan Preibisch, Dagmar Kainmueller, Jan Funke. 25-35 [doi]
• Mask Rearranging Data Augmentation for 3D Mitochondria SegmentationQi Chen, Mingxing Li, Jiacheng Li, Bo Hu, Zhiwei Xiong. 36-46 [doi]
• Semi-supervised Learning for Nerve Segmentation in Corneal Confocal Microscope PhotographyJun Wu, Bo Shen, Hanwen Zhang, Jianing Wang, Qi Pan, Jianfeng Huang, Lixin Guo, Jianchun Zhao, Gang Yang 0001, Xirong Li 0001, Dayong Ding. 47-57 [doi]
• Implicit Neural Representations for Generative Modeling of Living Cell ShapesDavid Wiesner, Julian Suk, Sven Dummer, David Svoboda, Jelmer M. Wolterink. 58-67 [doi]
• Trichomonas Vaginalis Segmentation in Microscope ImagesLin Li, Jingyi Liu, Shuo Wang, Xunkun Wang, Tian-Zhu Xiang. 68-78 [doi]
• NerveFormer: A Cross-Sample Aggregation Network for Corneal Nerve SegmentationJiayu Chen, Lei Mou, Shaodong Ma, Huazhu Fu, Lijun Guo, Yalin Zheng, Jiong Zhang, Yitian Zhao. 79-88 [doi]
• Domain Adaptive Mitochondria Segmentation via Enforcing Inter-Section ConsistencyWei Huang, Xiaoyu Liu, Zhen Cheng, Yueyi Zhang, Zhiwei Xiong. 89-98 [doi]
• DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-Sheet MicroscopyYu Liu, Kurt Weiss, Nassir Navab, Carsten Marr, Jan Huisken, Tingying Peng. 99-108 [doi]
• End-to-End Cell Recognition by Point AnnotationZhongyi Shui, Shichuan Zhang, Chenglu Zhu, Bingchuan Wang, Pingyi Chen, Sunyi Zheng, Lin Yang. 109-118 [doi]
• ChrSNet: Chromosome Straightening Using Self-attention Guided NetworksSunyi Zheng, Jingxiong Li, Zhongyi Shui, Chenglu Zhu, YunLong Zhang, Pingyi Chen, Lin Yang. 119-128 [doi]
• Region Proposal Rectification Towards Robust Instance Segmentation of Biological ImagesQilong Zhangli, Jingru Yi, Di Liu, Xiaoxiao He, Zhaoyang Xia, Qi Chang, Ligong Han, Yunhe Gao, Song Wen, Haiming Tang, He Wang, Mu Zhou, Dimitris N. Metaxas. 129-139 [doi]
• DeepMIF: Deep Learning Based Cell Profiling for Multispectral Immunofluorescence Images with Graphical User InterfaceYeman Brhane Hagos, Ayse U. Akarca, Alan Ramsay, Riccardo L. Rossi, Sabine Pomplun, Alessia Moioli, Andrea Gianatti, Christopher Mcnamara, Alessandro Rambaldi, Sergio A. Quezada, David Linch, Giuseppe Gritti, Teresa Marafioti, Yinyin Yuan. 140-149 [doi]
• Capturing Shape Information with Multi-scale Topological Loss Terms for 3D ReconstructionDominik Jens Elias Waibel, Scott Atwell, Matthias Meier, Carsten Marr, Bastian Rieck. 150-159 [doi]
• MCP-Net: Inter-frame Motion Correction with Patlak Regularization for Whole-body Dynamic PETXueqi Guo, Bo Zhou 0009, Xiongchao Chen, Chi Liu, Nicha C. Dvornek. 163-172 [doi]
• PET Denoising and Uncertainty Estimation Based on NVAE Model Using Quantile Regression LossJianan Cui, Yutong Xie, Anand A. Joshi, Kuang Gong, Kyung Sang Kim, Young-Don Son, Jong-Hoon Kim, Richard M. Leahy, Huafeng Liu 0003, Quanzheng Li. 173-183 [doi]
• TransEM: Residual Swin-Transformer Based Regularized PET Image ReconstructionRui Hu, Huafeng Liu. 184-193 [doi]
• Supervised Deep Learning for Head Motion Correction in PETTianyi Zeng, Jiazhen Zhang, Enette Mae Revilla, Eléonore V. Lieffrig, Xi Fang, Yihuan Lu, John A. Onofrey. 194-203 [doi]
• Adaptive 3D Localization of 2D Freehand Ultrasound Brain ImagesPak-Hei Yeung, Moska Aliasi, Monique C. Haak, Weidi Xie, Ana I. L. Namburete. 207-217 [doi]
• Physically Inspired Constraint for Unsupervised Regularized Ultrasound ElastographyAli Kafaei Zad Tehrani, Hassan Rivaz. 218-227 [doi]
• Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-modality DataHe Zhao, Qingqing Zheng, Clare Teng, Robail Yasrab, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble. 228-237 [doi]
• Key-frame Guided Network for Thyroid Nodule Recognition Using Ultrasound VideosYuchen Wang, Zhongyu Li, Xiangxiang Cui, LiangLiang Zhang, Xiang Luo, Meng Yang, Shi Chang. 238-247 [doi]
• Less is More: Adaptive Curriculum Learning for Thyroid Nodule DiagnosisHaifan Gong, Hui Cheng, Yifan Xie, Shuangyi Tan, Guanqi Chen, Fei Chen 0006, Guanbin Li. 248-257 [doi]
• Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape FrameworkHaoran Dou, Luyi Han, Yushuang He, Jun Xu, Nishant Ravikumar, Ritse Mann, Alejandro F. Frangi, Pew-Thian Yap, Yunzhi Huang. 258-267 [doi]
• Uncertainty-aware Cascade Network for Ultrasound Image Segmentation with Ambiguous BoundaryYanting Xie, Hongen Liao, Daoqiang Zhang, Fang Chen. 268-278 [doi]
• BiometryNet: Landmark-based Fetal Biometry Estimation from Standard Ultrasound PlanesNetanell Avisdris, Leo Joskowicz, Brian Dromey, Anna L. David, Donald M. Peebles, Danail Stoyanov, Dafna Ben-Bashat, Sophia Bano. 279-289 [doi]
• Deep Motion Network for Freehand 3D Ultrasound ReconstructionMingyuan Luo, Xin Yang 0009, Hongzhang Wang, Liwei Du, Dong Ni 0001. 290-299 [doi]
• Agent with Tangent-Based Formulation and Anatomical Perception for Standard Plane Localization in 3D UltrasoundYuxin Zou, Haoran Dou, Yuhao Huang, Xin Yang 0009, Jikuan Qian, Chaojiong Zhen, Xiaodan Ji, Nishant Ravikumar, Guoqiang Chen, Weijun Huang, Alejandro F. Frangi, Dong Ni 0001. 300-309 [doi]
• Weakly-Supervised High-Fidelity Ultrasound Video Synthesis with Feature DecouplingJiamin Liang, Xin Yang 0009, Yuhao Huang, Kai Liu, Xinrui Zhou, Xindi Hu, Zehui Lin, Huanjia Luo, Yuanji Zhang, Yi Xiong, Dong Ni 0001. 310-319 [doi]
• Class Impression for Data-Free Incremental LearningSana Ayromlou, Purang Abolmaesumi, Teresa Tsang, Xiaoxiao Li. 320-329 [doi]
• Simultaneous Bone and Shadow Segmentation Network Using Task Correspondence ConsistencyAimon Rahman, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M. Patel. 330-339 [doi]
• Contrastive Learning for Echocardiographic View IntegrationLi-Hsin Cheng, Xiaowu Sun, Rob J. van der Geest. 340-349 [doi]
• BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound VideoSzymon Plotka, Michal K. Grzeszczyk, Robert Brawura-Biskupski-Samaha, Pawel Gutaj, Michal Lipa, Tomasz Trzcinski, Arkadiusz Sitek. 350-359 [doi]
• EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural NetworksMasoud Mokhtari, Teresa Tsang, Purang Abolmaesumi, Renjie Liao. 360-369 [doi]
• EchoCoTr: Estimation of the Left Ventricular Ejection Fraction from Spatiotemporal EchocardiographyRand Muhtaseb, Mohammad Yaqub. 370-379 [doi]
• Light-weight Spatio-Temporal Graphs for Segmentation and Ejection Fraction Prediction in Cardiac UltrasoundSarina Thomas, Andrew Gilbert, Guy Ben-Yosef. 380-390 [doi]
• Rethinking Breast Lesion Segmentation in Ultrasound: A New Video Dataset and A Baseline NetworkJialu Li, Qingqing Zheng, Mingshuang Li, Ping Liu, Qiong Wang 0001, Litao Sun, Lei Zhu. 391-400 [doi]
• MIRST-DM: Multi-instance RST with Drop-Max Layer for Robust Classification of Breast CancerShoukun Sun, Min Xian, Aleksandar Vakanski, Hossny Ghanem. 401-410 [doi]
• Towards Confident Detection of Prostate Cancer Using High Resolution Micro-ultrasoundMahdi Gilany, Paul Wilson, Amoon Jamzad, Fahimeh Fooladgar, Minh Nguyen Nhat To, Brian Wodlinger, Purang Abolmaesumi, Parvin Mousavi. 411-420 [doi]
• Unsupervised Contrastive Learning of Image Representations from Ultrasound Videos with Hard Negative MiningSoumen Basu, Somanshu Singla, Mayank Gupta, Pratyaksha Rana, Pankaj Gupta, Chetan Arora 0001. 423-433 [doi]
• An Advanced Deep Learning Framework for Video-Based Diagnosis of ASDMiaoMiao Cai, Mingxing Li, Zhiwei Xiong, Pengju Zhao, Enyao Li, Jiulai Tang. 434-444 [doi]
• Automating Blastocyst Formation and Quality Prediction in Time-Lapse Imaging with Adaptive Key Frame SelectionTingting Chen, Yi Cheng, Jinhong Wang, Zhaoxia Yang, Wenhao Zheng, Danny Z. Chen, Jian Wu. 445-455 [doi]
• Semi-supervised Spatial Temporal Attention Network for Video Polyp SegmentationXinkai Zhao, Zhenhua Wu, Shuangyi Tan, De-Jun Fan, Zhen Li, Xiang Wan, Guanbin Li. 456-466 [doi]
• Geometric Constraints for Self-supervised Monocular Depth Estimation on Laparoscopic Images with Dual-task ConsistencyWenda Li, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kazunari Misawa, Kensaku Mori. 467-477 [doi]
• Recurrent Implicit Neural Graph for Deformable Tracking in Endoscopic VideosAdam Schmidt, Omid Mohareri, Simon P. DiMaio, Septimiu E. Salcudean. 478-488 [doi]
• Pose-Based Tremor Classification for Parkinson's Disease Diagnosis from VideoHaozheng Zhang, Edmond S. L. Ho, Xiatian Zhang, Hubert P. H. Shum. 489-499 [doi]
• Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland AnalysisJiancheng Yang, Rui Shi, Udaranga Wickramasinghe, Qikui Zhu, Bingbing Ni, Pascal Fua. 503-513 [doi]
• Few-shot Medical Image Segmentation Regularized with Self-reference and Contrastive LearningRunze Wang, Qin Zhou, Guoyan Zheng. 514-523 [doi]
• Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal ConsistencyYanda Meng, Xu Chen, Hongrun Zhang, Yitian Zhao, Dongxu Gao, Barbra Hamill, Godhuli Patri, Tunde Peto, Savita Madhusudhan, Yalin Zheng. 524-534 [doi]
• Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with TransformersYoubao Tang, Ning Zhang, Yirui Wang 0002, Shenghua He, Mei Han, Jing Xiao 0006, Ruei-Sung Lin. 535-544 [doi]
• DeSD: Self-Supervised Learning with Deep Self-Distillation for 3D Medical Image SegmentationYiwen Ye, Jianpeng Zhang, Ziyang Chen, Yong Xia 0001. 545-555 [doi]
• Self-supervised 3D Anatomy Segmentation Using Self-distilled Masked Image Transformer (SMIT)Jue Jiang, Neelam Tyagi, Kathryn Tringale, Christopher Crane, Harini Veeraraghavan. 556-566 [doi]
• DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via a Structure-Specific Generative MethodQi Chang, Zhennan Yan, Mu Zhou, Di Liu, Khalid Sawalha, Meng Ye, Qilong Zhangli, Mikael Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas. 567-577 [doi]
• Online Easy Example Mining for Weakly-Supervised Gland Segmentation from Histology ImagesYi Li, Yiduo Yu, Yiwen Zou, Tianqi Xiang, Xiaomeng Li 0001. 578-587 [doi]
• Joint Class-Affinity Loss Correction for Robust Medical Image Segmentation with Noisy LabelsXiaoqing Guo, Yixuan Yuan. 588-598 [doi]
• Task-Relevant Feature Replenishment for Cross-Centre Polyp SegmentationYutian Shen, Ye Lu, Xiao Jia 0005, Fan Bai, Max Q.-H. Meng. 599-608 [doi]
• Vol2Flow: Segment 3D Volumes Using a Sequence of Registration FlowsAdeleh Bitarafan, Mohammad Farid Azampour, Kian Bakhtari, Mahdieh Soleymani Baghshah, Matthias Keicher, Nassir Navab. 609-618 [doi]
• Parameter-Free Latent Space Transformer for Zero-Shot Bidirectional Cross-modality Liver SegmentationYang Li, Beiji Zou, Yulan Dai, Chengzhang Zhu, Fan Yang, Xin Li, Harrison X. Bai, Zhicheng Jiao. 619-628 [doi]
• Using Guided Self-Attention with Local Information for Polyp SegmentationLinghan Cai, Meijing Wu, Lijiang Chen, Wenpei Bai, Min Yang, Shuchang Lyu, Qi Zhao. 629-638 [doi]
• Context-Aware Voxel-Wise Contrastive Learning for Label Efficient Multi-organ SegmentationPeng Liu, Guoyan Zheng. 653-662 [doi]
• Vector Quantisation for Robust SegmentationAinkaran Santhirasekaram, Avinash Kori, Mathias Winkler, Andrea G. Rockall, Ben Glocker. 663-672 [doi]
• A Hybrid Propagation Network for Interactive Volumetric Image SegmentationLuyue Shi, Xuanye Zhang, Yunbi Liu, Xiaoguang Han 0001. 673-682 [doi]
• SelfMix: A Self-adaptive Data Augmentation Method for Lesion SegmentationQikui Zhu, Yanqing Wang, Lei Yin, Jiancheng Yang, Fei Liao, Shuo Li. 683-692 [doi]
• Bi-directional Encoding for Explicit Centerline Segmentation by Fully-Convolutional NetworksIlyas Sirazitdinov, Axel Saalbach, Heinrich Schulz, Dmitry V. Dylov. 693-703 [doi]
• Transforming the Interactive Segmentation for Medical ImagingWenTao Liu, Chaofan Ma, Yuhuan Yang, Weidi Xie, Ya Zhang 0002. 704-713 [doi]
• Learning Incrementally to Segment Multiple Organs in a CT ImagePengbo Liu, Xia Wang, Mengsi Fan, Hongli Pan, Minmin Yin, Xiaohong Zhu, Dandan Du, Xiaoying Zhao, Li Xiao, Lian Ding, Xingwang Wu, S. Kevin Zhou. 714-724 [doi]
• Harnessing Deep Bladder Tumor Segmentation with Logical Clinical KnowledgeXiao Huang, Xiaodong Yue, Zhikang Xu, Yufei Chen. 725-735 [doi]
• Test-Time Adaptation with Shape Moments for Image SegmentationMathilde Bateson, Herve Lombaert, Ismail Ben Ayed. 736-745 [doi]