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Attention De-sparsification Matters: Inducing Diversity in Digital Pathology Representation Learning.

, , , , , , and . CoRR, (2023)

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CD-Net: Histopathology Representation Learning using Pyramidal Context-Detail Network., , and . CoRR, (2022)Predicting Mechanical Ventilation Requirement and Mortality in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study., , , , , , and . CoRR, (2020)Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning., , , , , , and . Medical Image Anal., (2024)Subtype-Specific Spatial Descriptors of Tumor-Immune Microenvironment are Prognostic of Survival in Lung Adenocarcinoma., , , , and . ISBI, page 1-5. IEEE, (2022)Attention De-sparsification Matters: Inducing Diversity in Digital Pathology Representation Learning., , , , , , and . CoRR, (2023)SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology., , , , , , and . ISIC/Care-AI/MedAGI/DeCaF@MICCAI, volume 14393 of Lecture Notes in Computer Science, page 161-170. Springer, (2023)Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology., , , , , , and . IPMI, volume 13939 of Lecture Notes in Computer Science, page 783-794. Springer, (2023)SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology., , , , , , , , , and . CoRR, (2023)Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology., , , , , , and . CoRR, (2022)TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer., , , , and . IPMI, volume 12729 of Lecture Notes in Computer Science, page 386-397. Springer, (2021)