Abstract is missing.
- Relational Subsets Knowledge Distillation for Long-Tailed Retinal Diseases RecognitionLie Ju, Xin Wang, Lin Wang, Tongliang Liu, Xin Zhao, Tom Drummond, Dwarikanath Mahapatra, ZongYuan Ge. 3-12 [doi]
- Cross-Domain Depth Estimation Network for 3D Vessel Reconstruction in OCT AngiographyShuai Yu, Yonghuai Liu, Jiong Zhang, Jianyang Xie, Yalin Zheng, Jiang Liu 0001, Yitian Zhao. 13-23 [doi]
- Distinguishing Differences Matters: Focal Contrastive Network for Peripheral Anterior Synechiae RecognitionYifan Yang, Huihui Fang, Qing Du, Fei Li, Xiulan Zhang, Mingkui Tan, Yanwu Xu. 24-33 [doi]
- RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs Using a Novel Multi-scale Generative Adversarial NetworkSharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Lee Zuckerbrod, Kenton M. Sanders, Salah A. Baker. 34-44 [doi]
- MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image ClassificationShuang Yu, Kai Ma 0002, Qi Bi, Cheng Bian, Munan Ning, Nanjun He, Yuexiang Li, Hanruo Liu, Yefeng Zheng. 45-54 [doi]
- Local-Global Dual Perception Based Deep Multiple Instance Learning for Retinal Disease ClassificationQi Bi, Shuang Yu, Wei Ji, Cheng Bian, Lijun Gong, Hanruo Liu, Kai Ma 0002, Yefeng Zheng. 55-64 [doi]
- BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA ImagesLi Lin 0006, Zhonghua Wang, Jiewei Wu, Yijin Huang, Junyan Lyu, Pujin Cheng, Jiong Wu, Xiaoying Tang. 65-75 [doi]
- LensID: A CNN-RNN-Based Framework Towards Lens Irregularity Detection in Cataract Surgery VideosNegin Ghamsarian, Mario Taschwer, Doris Putzgruber-Adamitsch, Stephanie Sarny, Yosuf El-Shabrawi, Klaus Schoeffmann. 76-86 [doi]
- I-SECRET: Importance-Guided Fundus Image Enhancement via Semi-supervised Contrastive ConstrainingPujin Cheng, Li Lin 0006, Yijin Huang, Junyan Lyu, Xiaoying Tang. 87-96 [doi]
- Few-Shot Transfer Learning for Hereditary Retinal Diseases RecognitionSiwei Mai, Qian Li, Qi Zhao, Mingchen Gao. 97-107 [doi]
- Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT ImagesHong Liu, Dong Wei 0004, Donghuan Lu, Yuexiang Li, Kai Ma 0002, Liansheng Wang, Yefeng Zheng. 108-118 [doi]
- GQ-GCN: Group Quadratic Graph Convolutional Network for Classification of Histopathological ImagesZhiyang Gao, Jun Shi, Jun Wang. 121-131 [doi]
- Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution NetworkZeyu Gao, Jiangbo Shi, Xianli Zhang, Yang Li, Haichuan Zhang, Jialun Wu, Chunbao Wang, Deyu Meng, Chen Li. 132-142 [doi]
- Prototypical Models for Classifying High-Risk Atypical Breast LesionsAkash Parvatikar, Om Choudhary, Arvind Ramanathan, Rebekah Jenkins, Olga Navolotskaia, Gloria Carter, Akif Burak Tosun, Jeffrey L. Fine, S. Chakra Chennubhotla. 143-152 [doi]
- Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image SegmentationJiangpeng Yan, Hanbo Chen, Kang Wang, Yan Ji, Yuyao Zhu, Jingjing Li, Dong Xie, Zhe Xu, JunZhou Huang, Shuqun Cheng, Xiu Li, Jianhua Yao. 153-163 [doi]
- Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid NeoplasmsPingjun Chen, Muhammad Aminu 0002, Siba El Hussein, Joseph Khoury, Jia Wu. 164-174 [doi]
- A Computational Geometry Approach for Modeling Neuronal Fiber PathwaysS. Shailja, Angela Zhang, B. S. Manjunath. 175-185 [doi]
- TransPath: Transformer-Based Self-supervised Learning for Histopathological Image ClassificationXiyue Wang, Sen Yang, Jun Zhang, Minghui Wang, Jing Zhang, JunZhou Huang, Wei Yang, Xiao Han. 186-195 [doi]
- From Pixel to Whole Slide: Automatic Detection of Microvascular Invasion in Hepatocellular Carcinoma on Histopathological Image via Cascaded NetworksHanbo Chen, Kang Wang, Yuyao Zhu, Jiangpeng Yan, Yan Ji, Jingjing Li, Dong Xie, JunZhou Huang, Shuqun Cheng, Jianhua Yao. 196-205 [doi]
- DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological ImageHang Li, Fan Yang, Yu Zhao 0009, Xiaohan Xing, Jun Zhang, Mingxuan Gao, JunZhou Huang, Liansheng Wang, Jianhua Yao. 206-216 [doi]
- Early Detection of Liver Fibrosis Using Graph Convolutional NetworksMarta Wojciechowska, Stefano Malacrino, Natalia Garcia Martin, Hamid Fehri, Jens Rittscher. 217-226 [doi]
- Hierarchical Graph Pathomic Network for Progression Free Survival PredictionZichen Wang, Jiayun Li, Zhufeng Pan, Wenyuan Li, Anthony E. Sisk, Huihui Ye, William Speier, Corey W. Arnold. 227-237 [doi]
- Increasing Consistency of Evoked Response in Thalamic Nuclei During Repetitive Burst Stimulation of Peripheral Nerve in HumansJessica S. L. Vidmark, Estefania Hernandez-Martin, Terence D. Sanger. 238-247 [doi]
- Weakly Supervised Pan-Cancer Segmentation ToolMarvin Lerousseau, Marion Classe, Enzo Battistella, Théo Estienne, Théophraste Henry, Amaury Leroy, Roger Sun, Maria Vakalopoulou, Jean-Yves Scoazec, Eric Deutsch, Nikos Paragios. 248-256 [doi]
- Structure-Preserving Multi-domain Stain Color Augmentation Using Style-Transfer with Disentangled RepresentationsSophia J. Wagner, Nadieh Khalili, Raghav Sharma, Melanie Boxberg, Carsten Marr, Walter de Back, Tingying Peng. 257-266 [doi]
- MetaCon: Meta Contrastive Learning for Microsatellite Instability DetectionYuqing Liu, Weiwen Wang, Chuan-Xian Ren, Dao-Qing Dai. 267-276 [doi]
- Generalizing Nucleus Recognition Model in Multi-source Ki67 Immunohistochemistry Stained Images via Domain-Specific PruningJiatong Cai, Chenglu Zhu, Can Cui, Honglin Li, Tong Wu, Shichuan Zhang, Lin Yang. 277-287 [doi]
- Cells are Actors: Social Network Analysis with Classical ML for SOTA Histology Image ClassificationNeda Zamanitajeddin, Mostafa Jahanifar, Nasir M. Rajpoot. 288-298 [doi]
- Instance-Based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological ImageZeyu Gao, Bangyang Hong, Xianli Zhang, Yang Li, Chang-Jia, Jialun Wu, Chunbao Wang, Deyu Meng, Chen Li. 299-308 [doi]
- Hybrid Supervision Learning for Pathology Whole Slide Image ClassificationJiahui Li, Wen Chen, Xiaodi Huang, Shuang Yang, Zhiqiang Hu, Qi Duan, Dimitris N. Metaxas, Hongsheng Li 0001, Shaoting Zhang. 309-318 [doi]
- MorphSet: Improving Renal Histopathology Case Assessment Through Learned Prognostic VectorsPietro Antonio Cicalese, Syed Asad Rizvi, Victor Wang, Sai Patibandla, Pengyu Yuan, Samira Zare, Katharina Moos, Ibrahim Batal, Marian Clahsen-van Groningen, Candice Roufosse, Jan Becker, Chandra Mohan, Hien Van Nguyen. 319-328 [doi]
- Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide ImagingAndriy Myronenko, Ziyue Xu, Dong Yang 0005, Holger R. Roth, Daguang Xu. 329-338 [doi]
- Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction Using Patch-Based Graph Convolutional NetworksRichard J. Chen, Ming Y. Lu, Muhammad Shaban, Chengkuan Chen, Tiffany Y. Chen, Drew F. K. Williamson, Faisal Mahmood. 339-349 [doi]
- Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide ImagesShivam Kalra, Mohammed Adnan, Sobhan Hemati, Taher Dehkharghanian, Shahryar Rahnamayan, Hamid R. Tizhoosh. 350-359 [doi]
- Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random FieldStanislav Lukyanenko, Won-Dong Jang, Donglai Wei, Robbert Struyven, Yoon Kim, Brian D. Leahy, Helen Y. Yang, Alexander M. Rush, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister. 363-372 [doi]
- Semi-supervised Cell Detection in Time-Lapse Images Using Temporal ConsistencyKazuya Nishimura, Hyeonwoo Cho, Ryoma Bise. 373-383 [doi]
- Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position HeatmapHyeonwoo Cho, Kazuya Nishimura, Kazuhide Watanabe, Ryoma Bise. 384-394 [doi]
- 2D Histology Meets 3D Topology: Cytoarchitectonic Brain Mapping with Graph Neural NetworksChristian Schiffer, Stefan Harmeling, Katrin Amunts, Timo Dickscheid. 395-404 [doi]
- Annotation-Efficient Cell CountingZuhui Wang, Zhaozheng Yin. 405-414 [doi]
- A Deep Learning Bidirectional Temporal Tracking Algorithm for Automated Blood Cell Counting from Non-invasive Capillaroscopy VideosLuojie Huang, Gregory N. McKay, Nicholas J. Durr. 415-424 [doi]
- Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classificationKazuma Fujii, Daiki Suehiro, Kazuya Nishimura, Ryoma Bise. 425-434 [doi]
- Learning Neuron Stitching for ConnectomicsXiaoyu Liu, Yueyi Zhang, Zhiwei Xiong, Chang Chen, Wei Huang, Xuejin Chen, Feng Wu 0001. 435-444 [doi]
- 2.5-Net Nuclei Segmentation Framework with a Microscopy Cell Benchmark CollectionJinghan Huang, Yiqing Shen 0003, Dinggang Shen, Jing Ke. 445-454 [doi]
- Automated Malaria Cells Detection from Blood Smears Under Severe Class Imbalance via Importance-Aware Balanced Group SoftmaxCanfeng Lin, Huisi Wu, Zhenkun Wen, Jing Qin 0001. 455-465 [doi]
- Non-parametric Vignetting Correction for Sparse Spatial Transcriptomics ImagesBovey Y. Rao, Alexis M. Peterson, Elena K. Kandror, Stephanie Herrlinger, Attila Losonczy, Liam Paninski, Abbas H. Rizvi, Erdem Varol. 466-475 [doi]
- Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell MicroscopyChristoph Reich, Tim Prangemeier, Christian Wildner, Heinz Koeppl. 476-486 [doi]
- Deep Reinforcement Exemplar Learning for Annotation RefinementYuexiang Li, Nanjun He, Sixiang Peng, Kai Ma 0002, Yefeng Zheng. 487-496 [doi]
- Instance-Aware Feature Alignment for Cross-Domain Cell Nuclei Detection in Histopathology ImagesZhi Wang, Xiaoya Zhu, Lei Su, Gang Meng, Junsheng Zhang, Ao Li, Minghui Wang. 499-508 [doi]
- Positive-Unlabeled Learning for Cell Detection in Histopathology Images with Incomplete AnnotationsZipei Zhao, Fengqian Pang, Zhiwen Liu, Chuyang Ye. 509-518 [doi]
- GloFlow: Whole Slide Image Stitching from Video Using Optical Flow and Global Image AlignmentViswesh Krishna, Anirudh Joshi, Damir Vrabac, Philip L. Bulterys, Eric Yang, Sebastian Fernandez-Pol, Andrew Y. Ng, Pranav Rajpurkar. 519-528 [doi]
- Multi-modal Multi-instance Learning Using Weakly Correlated Histopathological Images and Tabular Clinical InformationHang Li, Fan Yang, Xiaohan Xing, Yu Zhao, Jun Zhang, Yueping Liu, Mengxue Han, JunZhou Huang, Liansheng Wang, Jianhua Yao. 529-539 [doi]
- Ranking Loss: A Ranking-Based Deep Neural Network for Colorectal Cancer Grading in Pathology ImagesTrinh Thi Le Vuong, Kyungeun Kim, Boram Song, Jin Tae Kwak. 540-549 [doi]
- Spatial Attention-Based Deep Learning System for Breast Cancer Pathological Complete Response Prediction with Serial Histopathology Images in Multiple StainsHongyi Duanmu, Shristi Bhattarai, Hongxiao Li, Chia-Cheng Cheng, Fusheng Wang 0001, George Teodoro, Emiel A. M. Janssen, Keerthi Gogineni, Preeti Subhedar, Ritu Aneja, Jun Kong. 550-560 [doi]
- Integration of Patch Features Through Self-supervised Learning and Transformer for Survival Analysis on Whole Slide ImagesZiwang Huang, Hua Chai, Ruoqi Wang, Haitao Wang, Yuedong Yang, Hejun Wu. 561-570 [doi]
- Contrastive Learning Based Stain Normalization Across Multiple Tumor in HistopathologyJing Ke, Yiqing Shen 0003, Xiaoyao Liang, Dinggang Shen. 571-580 [doi]
- Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology ImagesCong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song. 581-591 [doi]
- Learning Visual Features by Colorization for Slide-Consistent Survival Prediction from Whole Slide ImagesLei Fan, Arcot Sowmya, Erik Meijering, Yang Song. 592-601 [doi]
- Adversarial Learning of Cancer Tissue RepresentationsAdalberto Claudio Quiros, Nicolas Coudray, Anna Yeaton, Wisuwat Sunhem, Roderick Murray-Smith, Aristotelis Tsirigos, Ke Yuan. 602-612 [doi]
- A Multi-attribute Controllable Generative Model for Histopathology Image SynthesisJiarong Ye, Yuan Xue 0002, Peter Liu, Richard Zaino, Keith C. Cheng, Xiaolei Huang. 613-623 [doi]
- USCL: Pretraining Deep Ultrasound Image Diagnosis Model Through Video Contrastive Representation LearningYixiong Chen, Chunhui Zhang, Li Liu, Cheng Feng, Changfeng Dong, Yongfang Luo, Xiang Wan. 627-637 [doi]
- Identifying Quantitative and Explanatory Tumor Indexes from Dynamic Contrast Enhanced UltrasoundPeng Wan, Chunrui Liu, Fang Chen, Jing Qin, Daoqiang Zhang. 638-647 [doi]
- Weakly-Supervised Ultrasound Video Segmentation with Minimal AnnotationsRuiheng Chang, Dong Wang, Haiyan Guo, Jia Ding, Liwei Wang 0001. 648-658 [doi]
- Content-Preserving Unpaired Translation from Simulated to Realistic Ultrasound ImagesDevavrat Tomar, Lin Zhang 0031, Tiziano Portenier, Orcun Goksel. 659-669 [doi]
- Visual-Assisted Probe Movement Guidance for Obstetric Ultrasound Scanning Using Landmark RetrievalCheng Zhao, Richard Droste, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble. 670-679 [doi]
- Training Deep Networks for Prostate Cancer Diagnosis Using Coarse Histopathological LabelsGolara Javadi, Samareh Samadi, Sharareh Bayat, Samira Sojoudi, Antonio Hurtado, Silvia D. Chang, Peter C. Black, Parvin Mousavi, Purang Abolmaesumi. 680-689 [doi]
- Rethinking Ultrasound Augmentation: A Physics-Inspired ApproachMaria Tirindelli, Christine Eilers, Walter Simson, Magdalini Paschali, Mohammad Farid Azampour, Nassir Navab. 690-700 [doi]