Abstract is missing.
- Semi-supervised Histological Image Segmentation via Hierarchical Consistency EnforcementQiangguo Jin, Hui Cui 0002, Changming Sun, Jiangbin Zheng, Leyi Wei, Zhenyu Fang, Zhaopeng Meng, Ran Su. 3-13 [doi]
- Federated Stain Normalization for Computational PathologyNicolas Wagner, Moritz Fuchs, Yuri Tolkach, Anirban Mukhopadhyay 0003. 14-23 [doi]
- DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image ClassificationLinhao Qu, Xiaoyuan Luo, Shaolei Liu, Manning Wang, Zhijian Song. 24-34 [doi]
- ReMix: A General and Efficient Framework for Multiple Instance Learning Based Whole Slide Image ClassificationJiawei Yang, Hanbo Chen, Yu Zhao, Fan Yang, Yao Zhang, Lei He 0001, Jianhua Yao. 35-45 [doi]
- 3R: Self-supervised Spectral Regression for Hyperspectral Histopathology Image ClassificationXingran Xie, Yan Wang, Qingli Li. 46-55 [doi]
- Distilling Knowledge from Topological Representations for Pathological Complete Response PredictionShiyi Du, Qicheng Lao, Qingbo Kang, Yiyue Li, Zekun Jiang, Yanfeng Zhao, Kang Li. 56-65 [doi]
- SETMIL: Spatial Encoding Transformer-Based Multiple Instance Learning for Pathological Image AnalysisYu Zhao 0009, ZhenYu Lin, Kai Sun, Yidan Zhang, JunZhou Huang, Liansheng Wang, Jianhua Yao. 66-76 [doi]
- Clinical-Realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-Case StudyZiyue Xu 0001, Andriy Myronenko, Dong Yang 0005, Holger R. Roth, Can Zhao, Xiaosong Wang, Daguang Xu. 77-87 [doi]
- End-to-End Learning for Image-Based Detection of Molecular Alterations in Digital PathologyMarvin Teichmann, André Aichert, Hanibal Bohnenberger, Philipp Ströbel, Tobias Heimann. 88-98 [doi]
- S5CL: Unifying Fully-Supervised, Self-supervised, and Semi-supervised Learning Through Hierarchical Contrastive LearningManuel Tran, Sophia J. Wagner, Melanie Boxberg, Tingying Peng. 99-108 [doi]
- Sample Hardness Based Gradient Loss for Long-Tailed Cervical Cell DetectionMinmin Liu, Xuechen Li, Xiangbo Gao, Junliang Chen, LinLin Shen, Huisi Wu. 109-119 [doi]
- Test-Time Image-to-Image Translation Ensembling Improves Out-of-Distribution Generalization in HistopathologyMarin Scalbert, Maria Vakalopoulou, Florent Couzinié-Devy. 120-129 [doi]
- Predicting Molecular Traits from Tissue Morphology Through Self-interactive Multi-instance LearningYang Hu, Korsuk Sirinukunwattana, Kezia Gaitskell, Ruby Wood, Clare Verrill, Jens Rittscher. 130-139 [doi]
- InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance SegmentationYi Lin, Zeyu Wang, Kwang-Ting Cheng, Hao Chen. 140-149 [doi]
- Improved Domain Generalization for Cell Detection in Histopathology Images via Test-Time Stain AugmentationChundan Xu, Ziqi Wen, Zhiwen Liu, Chuyang Ye. 150-159 [doi]
- Transformer Based Multiple Instance Learning for Weakly Supervised Histopathology Image SegmentationZiniu Qian, Kailu Li, Maode Lai, Eric I-Chao Chang, Bingzheng Wei, Yubo Fan, Yan Xu. 160-170 [doi]
- GradMix for Nuclei Segmentation and Classification in Imbalanced Pathology Image DatasetsTan N. N. Doan, Kyungeun Kim, Boram Song, Jin Tae Kwak. 171-180 [doi]
- Spatial-Hierarchical Graph Neural Network with Dynamic Structure Learning for Histological Image ClassificationWentai Hou, Helong Huang, Qiong Peng, Rongshan Yu, Lequan Yu, Liansheng Wang. 181-191 [doi]
- Gigapixel Whole-Slide Images Classification Using Locally Supervised LearningJingwei Zhang, Xin Zhang, Ke Ma, Rajarsi Gupta 0001, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras. 192-201 [doi]
- Whole Slide Cervical Cancer Screening Using Graph Attention Network and Supervised Contrastive LearningXin Zhang, Maosong Cao, Sheng Wang, Jiayin Sun, Xiangshan Fan, Qian Wang, Lichi Zhang. 202-211 [doi]
- RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and NormalizationYiqing Shen 0003, Yulin Luo, Dinggang Shen, Jing Ke. 212-221 [doi]
- Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and TumorsYingli Zuo, Yawen Wu, Zixiao Lu, Qi Zhu 0001, Kun Huang 0001, Daoqiang Zhang, Wei Shao 0005. 222-231 [doi]
- Semi-supervised PR Virtual Staining for Breast Histopathological ImagesBowei Zeng, Yiyang Lin, Yifeng Wang, Yang Chen, Jiuyang Dong, Xi Li, Yongbing Zhang. 232-241 [doi]
- Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital PathologyYunLong Zhang, Yuxuan Sun, Honglin Li, Sunyi Zheng, Chenglu Zhu, Lin Yang. 242-252 [doi]
- Weakly Supervised Segmentation by Tensor Graph Learning for Whole Slide ImagesQinghua Zhang, Zhao Chen. 253-262 [doi]
- Test Time Transform Prediction for Open Set Histopathological Image RecognitionAdrian Galdran, Katherine J. Hewitt, Narmin Ghaffari Laleh, Jakob N. Kather, Gustavo Carneiro, Miguel A. González Ballester. 263-272 [doi]
- Lesion-Aware Contrastive Representation Learning for Histopathology Whole Slide Images AnalysisJun Li, Yushan Zheng, Kun Wu, Jun Shi 0006, Fengying Xie, Zhiguo Jiang. 273-282 [doi]
- Kernel Attention Transformer (KAT) for Histopathology Whole Slide Image ClassificationYushan Zheng, Jun Li, Jun Shi 0006, Fengying Xie, Zhiguo Jiang. 283-292 [doi]
- Joint Region-Attention and Multi-scale Transformer for Microsatellite Instability Detection from Whole Slide Images in Gastrointestinal CancerZhilong Lv, Rui Yan, Yuexiao Lin, Ying Wang, Fa Zhang 0001. 293-302 [doi]
- Self-supervised Pre-training for Nuclei SegmentationMohammad MinHazul Haq, JunZhou Huang. 303-313 [doi]
- LifeLonger: A Benchmark for Continual Disease ClassificationMohammad Mahdi Derakhshani, Ivona Najdenkoska, Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring, Cees G. M. Snoek. 314-324 [doi]
- Unsupervised Nuclei Segmentation Using Spatial Organization PriorsLoïc Le Bescond, Marvin Lerousseau, Ingrid Garberis, Fabrice André, Stergios Christodoulidis, Maria Vakalopoulou, Hugues Talbot. 325-335 [doi]
- Visual Deep Learning-Based Explanation for Neuritic Plaques Segmentation in Alzheimer's Disease Using Weakly Annotated Whole Slide Histopathological ImagesGabriel Jimenez, Anuradha Kar, Mehdi Ounissi, Léa Ingrassia, Susana Boluda, Benoit Delatour, Lev Stimmer, Daniel Racoceanu. 336-344 [doi]
- MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised SegmentationYash Sharma, Sana Syed, Donald E. Brown. 345-355 [doi]
- Region-Guided CycleGANs for Stain Transfer in Whole Slide ImagesJoseph Boyd, Irène Villa, Marie-Christine Mathieu, Eric Deutsch, Nikos Paragios, Maria Vakalopoulou, Stergios Christodoulidis. 356-365 [doi]
- Uncertainty Aware Sampling Framework of Weak-Label Learning for Histology Image ClassificationAsmaa Aljuhani, Ishya Casukhela, Jany Chan, David Liebner, Raghu Machiraju. 366-376 [doi]
- Local Attention Graph-Based Transformer for Multi-target Genetic Alteration PredictionDaniel Reisenbüchler, Sophia J. Wagner, Melanie Boxberg, Tingying Peng. 377-386 [doi]
- Incorporating Intratumoral Heterogeneity into Weakly-Supervised Deep Learning Models via Variance PoolingIain Carmichael, Andrew H. Song, Richard J. Chen, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood. 387-397 [doi]
- Prostate Cancer Histology Synthesis Using StyleGAN Latent Space AnnotationGagandeep B. Daroach, Savannah R. Duenweg, Michael Brehler, Allison K. Lowman, Kenneth A. Iczkowski, Kenneth M. Jacobsohn, Josiah A. Yoder, Peter S. LaViolette. 398-408 [doi]
- Fast FF-to-FFPE Whole Slide Image Translation via Laplacian Pyramid and Contrastive LearningLei Fan, Arcot Sowmya, Erik Meijering, Yang Song 0001. 409-419 [doi]
- Feature Re-calibration Based Multiple Instance Learning for Whole Slide Image ClassificationPhilip Chikontwe, Soo Jeong Nam, Heounjeong Go, Meejeong Kim, Hyun Jung Sung, Sanghyun Park 0004. 420-430 [doi]
- Physiological Model Based Deep Learning Framework for Cardiac TMP RecoveryXufeng Huang, Chengjin Yu, Huafeng Liu. 433-443 [doi]
- DentalPointNet: Landmark Localization on High-Resolution 3D Digital Dental ModelsYankun Lang, Xiaoyang Chen, Hannah H. Deng, Tianshu Kuang, Joshua C. Barber, Jaime Gateno, Pew-Thian Yap, James J. Xia. 444-452 [doi]
- Landmark-Free Statistical Shape Modeling Via Neural Flow DeformationsDavid Lüdke, Tamaz Amiranashvili, Felix Ambellan, Ivan Ezhov, Bjoern H. Menze, Stefan Zachow. 453-463 [doi]
- Learning Shape Distributions from Large Databases of Healthy Organs: Applications to Zero-Shot and Few-Shot Abnormal Pancreas DetectionRebeca Vétil, Clément Abi Nader, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch. 464-473 [doi]
- From Images to Probabilistic Anatomical Shapes: A Deep Variational Bottleneck ApproachJadie Adams, Shireen Y. Elhabian. 474-484 [doi]
- Structure-Consistent Restoration Network for Cataract Fundus Image EnhancementHeng Li, Haofeng Liu, Huazhu Fu, Hai Shu, Yitian Zhao, Xiaoling Luo, Yan Hu, Jiang Liu 0001. 487-496 [doi]
- Unsupervised Domain Adaptive Fundus Image Segmentation with Category-Level RegularizationWei Feng, Lin Wang, Lie Ju, Xin Zhao, Xin Wang 0094, Xiaoyu Shi, ZongYuan Ge. 497-506 [doi]
- Degradation-Invariant Enhancement of Fundus Images via Pyramid Constraint NetworkHaofeng Liu, Heng Li, Huazhu Fu, Ruoxiu Xiao, Yunshu Gao, Yan Hu, Jiang Liu 0001. 507-516 [doi]
- A Spatiotemporal Model for Precise and Efficient Fully-Automatic 3D Motion Correction in OCTStefan B. Ploner, Siyu Chen, Jungeun Won, Lennart Husvogt, Katharina Breininger, Julia Schottenhamml, James G. Fujimoto, Andreas Maier 0001. 517-527 [doi]
- DA-Net: Dual Branch Transformer and Adaptive Strip Upsampling for Retinal Vessels SegmentationChangwei Wang, Rongtao Xu, Shibiao Xu, Weiliang Meng, Xiaopeng Zhang 0001. 528-538 [doi]
- Visual Explanations for the Detection of Diabetic Retinopathy from Retinal Fundus ImagesValentyn Boreiko, Indu Ilanchezian, Murat Seçkin Ayhan, Sarah Müller, Lisa M. Koch, Hanna Faber, Philipp Berens, Matthias Hein 0001. 539-549 [doi]
- Multidimensional Hypergraph on Delineated Retinal Features for Pathological Myopia TaskBilha Githinji, Lei Shao, Lin An, Hao Zhang, Fang Li, Li Dong, Lan Ma, Yuhan Dong, Yongbing Zhang, Wen B. Wei, Peiwu Qin. 550-559 [doi]
- Unsupervised Lesion-Aware Transfer Learning for Diabetic Retinopathy Grading in Ultra-Wide-Field Fundus PhotographyYanmiao Bai, Jinkui Hao, Huazhu Fu, Yan Hu, Xinting Ge, Jiang Liu 0001, Yitian Zhao, Jiong Zhang. 560-570 [doi]
- Local-Region and Cross-Dataset Contrastive Learning for Retinal Vessel SegmentationRui Xu 0002, Jiaxin Zhao, Xinchen Ye, Pengcheng Wu, Zhihui Wang, Haojie Li, Yen-Wei Chen 0001. 571-581 [doi]
- Y-Net: A Spatiospectral Dual-Encoder Network for Medical Image SegmentationAzade Farshad, Yousef Yeganeh, Peter Gehlbach, Nassir Navab. 582-592 [doi]
- Camera Adaptation for Fundus-Image-Based CVD Risk EstimationZhihong Lin, Danli Shi, Donghao Zhang, Xianwen Shang, Mingguang He, ZongYuan Ge. 593-603 [doi]
- Opinions Vary? Diagnosis First!JunDe Wu, Huihui Fang, Dalu Yang, Zhaowei Wang, Wenshuo Zhou, Fangxin Shang, Yehui Yang, Yanwu Xu 0001. 604-613 [doi]
- Learning Self-calibrated Optic Disc and Cup Segmentation from Multi-rater AnnotationsJunDe Wu, Huihui Fang, Zhaowei Wang, Dalu Yang, Yehui Yang, Fangxin Shang, Wenshuo Zhou, Yanwu Xu. 614-624 [doi]
- TINC: Temporally Informed Non-contrastive Learning for Disease Progression Modeling in Retinal OCT VolumesTaha Emre, Arunava Chakravarty, Antoine Rivail, Sophie Riedl, Ursula Schmidt-Erfurth, Hrvoje Bogunovic. 625-634 [doi]
- DRGen: Domain Generalization in Diabetic Retinopathy ClassificationMohammad Z. Atwany, Mohammad Yaqub. 635-644 [doi]
- Frequency-Aware Inverse-Consistent Deep Learning for OCT-Angiogram Super-ResolutionWeiwen Zhang, Dawei Yang, Carol Y. Cheung, Hao Chen. 645-655 [doi]
- A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus ImagesWentian Zhang, Xu Sun, Yuexiang Li, Haozhe Liu, Nanjun He, Feng Liu, Yefeng Zheng 0001. 656-666 [doi]
- Multiscale Unsupervised Retinal Edema Area Segmentation in OCT ImagesWenguang Yuan, Donghuan Lu, Dong Wei 0004, Munan Ning, Yefeng Zheng 0001. 667-676 [doi]
- SeATrans: Learning Segmentation-Assisted Diagnosis Model via TransformerJunDe Wu, Huihui Fang, Fangxin Shang, Dalu Yang, Zhaowei Wang, Jing Gao, Yehui Yang, Yanwu Xu 0001. 677-687 [doi]
- Screening of Dementia on OCTA Images via Multi-projection Consistency and ComplementarityXingyue Wang, Heng Li, Zunjie Xiao, Huazhu Fu, Yitian Zhao, Richu Jin, Shuting Zhang, William Robert Kwapong, Ziyi Zhang, Hanpei Miao, Jiang Liu 0001. 688-698 [doi]
- Noise Transfer for Unsupervised Domain Adaptation of Retinal OCT ImagesValentin Koch, Olle G. Holmberg, Hannah Spitzer, Johannes Schiefelbein, Ben Asani, Michael Hafner, Fabian J. Theis. 699-708 [doi]
- Long-Tailed Multi-label Retinal Diseases Recognition via Relational Learning and Knowledge DistillationQian Zhou, Hua Zou, Zhongyuan Wang 0001. 709-718 [doi]
- Weakly Supervised Online Action Detection for Infant General MovementsTongyi Luo, Jia Xiao, Chuncao Zhang, Siheng Chen, Yuan Tian, Guangjun Yu, Kang Dang, Xiaowei Ding. 721-731 [doi]
- Super-Focus: Domain Adaptation for Embryo Imaging via Self-supervised Focal Plane RegressionChloe He, Céline Jacques, Jérôme Chambost, Jonas Malmsten, Koen Wouters, Thomas Fréour, Nikica Zaninovic, Cristina Hickman, Francisco Vasconcelos. 732-742 [doi]
- SUPER-IVIM-DC: Intra-voxel Incoherent Motion Based Fetal Lung Maturity Assessment from Limited DWI Data Using Supervised Learning Coupled with Data-ConsistencyNoam Korngut, Elad Rotman, Onur Afacan, Sila Kurugol, Yael Zaffrani-Reznikov, Shira Nemirovsky-Rotman, Simon K. Warfield, Moti Freiman. 743-752 [doi]
- Automated Classification of General Movements in Infants Using Two-Stream Spatiotemporal Fusion NetworkYuki Hashimoto, Akira Furui, Koji Shimatani, Maura Casadio, Paolo Moretti, Pietro Morasso, Toshio Tsuji. 753-762 [doi]