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Identification of topological features in renal tumor microenvironment associated with patient survival., , , , , and . Bioinform., 34 (6): 1024-1030 (2018)Identifying bladder layers from H and E images using U-Net image segmentation., , , , and . Medical Imaging: Digital Pathology, volume 11320 of SPIE Proceedings, page 1132006. SPIE, (2020)Digital Pathology Consultations - a New Era in Digital Imaging, Challenges and Practical Applications., , , , , , and . J. Digit. Imaging, 26 (4): 668-677 (2013)Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology., , , , , , , , , and . Artif. Intell. Medicine, (2022)GEMS: GPU-enabled memory-aware model-parallelism system for distributed DNN training., , , , , , , , and . SC, page 45. IEEE/ACM, (2020)Comparison study of five different display modalities for whole slide images in surgical pathology and cytopathology in Europe., , , , , , , , and . Medical Imaging: Digital Pathology, volume 8676 of SPIE Proceedings, page 86760K. SPIE, (2013)Weakly Supervised AI for Efficient Analysis of 3D Pathology Samples., , , , , , , , , and 1 other author(s). CoRR, (2023)Multispecialty Enterprise Imaging Workgroup Consensus on Interactive Multimedia Reporting Current State and Road to the Future: HIMSS-SIIM Collaborative White Paper., , , , , , , , , and 15 other author(s). J. Digit. Imaging, 34 (3): 495-522 (2021)Automated T1 bladder risk stratification based on depth of lamina propria invasion from H and E tissue biopsies: a deep learning approach., , , , , and . Medical Imaging: Digital Pathology, volume 10581 of SPIE Proceedings, page 105810H. SPIE, (2018)Towards a Visual-Language Foundation Model for Computational Pathology., , , , , , , , , and 3 other author(s). CoRR, (2023)