{"total":24,"rows":[{"id":"2206.02647","title":"Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning","created":"2022-06-06","cited_by_count":359,"area":null},{"id":"2212.04690","title":"Benchmarking Self-Supervised Learning on Diverse Pathology Datasets","created":"2022-12-09","cited_by_count":150,"area":null},{"id":"2308.15474","title":"A General-Purpose Self-Supervised Model for Computational Pathology","created":"2023-08-29","cited_by_count":42,"area":null},{"id":"2204.06455","title":"WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma","created":"2022-04-13","cited_by_count":36,"area":null},{"id":"2208.08789","title":"Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis","created":"2022-08-18","cited_by_count":29,"area":null},{"id":"2303.00865","title":"AMIGO: Sparse Multi-Modal Graph Transformer with Shared-Context Processing for Representation Learning of Giga-pixel Images","created":"2023-03-01","cited_by_count":18,"area":null},{"id":"2304.01053","title":"ViT-DAE: Transformer-driven Diffusion Autoencoder for Histopathology Image Analysis","created":"2023-04-03","cited_by_count":15,"area":null},{"id":"2311.08359","title":"Rotation-Agnostic Image Representation Learning for Digital Pathology","created":"2023-11-14","cited_by_count":15,"area":null},{"id":"2205.09048","title":"Global Contrast Masked Autoencoders Are Powerful Pathological Representation Learners","created":"2022-05-18","cited_by_count":11,"area":null},{"id":"2208.12847","title":"Region-guided CycleGANs for Stain Transfer in Whole Slide Images","created":"2022-08-26","cited_by_count":8,"area":null},{"id":"2505.01109","title":"Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study","created":"2025-05-02","cited_by_count":6,"area":null},{"id":"2303.11019","title":"A Dual-branch Self-supervised Representation Learning Framework for Tumour Segmentation in Whole Slide Images","created":"2023-03-20","cited_by_count":5,"area":null},{"id":"2505.10993","title":"Content Generation Models in Computational Pathology: A Comprehensive Survey on Methods, Applications, and Challenges","created":"2025-05-16","cited_by_count":5,"area":null},{"id":"2212.12105","title":"Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology","created":"2022-12-23","cited_by_count":4,"area":null},{"id":"2303.12445","title":"MEDIMP: 3D Medical Images with clinical Prompts from limited tabular data for renal transplantation","created":"2023-03-22","cited_by_count":4,"area":null},{"id":"2309.06439","title":"Attention De-sparsification Matters: Inducing Diversity in Digital Pathology Representation Learning","created":"2023-09-12","cited_by_count":4,"area":null},{"id":"2403.14616","title":"Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning","created":"2024-03-21","cited_by_count":4,"area":null},{"id":"2203.15078","title":"CD-Net: Histopathology Representation Learning using Pyramidal Context-Detail Network","created":"2022-03-28","cited_by_count":2,"area":null},{"id":"2408.04262","title":"CoBooM: Codebook Guided Bootstrapping for Medical Image Representation Learning","created":"2024-08-08","cited_by_count":2,"area":null},{"id":"2412.15389","title":"Resource Efficient Multi-stain Kidney Glomeruli Segmentation via Self-supervision","created":"2024-12-19","cited_by_count":2,"area":null},{"id":"2410.19820","title":"Advancing Histopathology with Deep Learning Under Data Scarcity: A Decade in Review","created":"2024-10-18","cited_by_count":1,"area":null},{"id":"2411.09471","title":"Renal Cell Carcinoma subtyping: learning from multi-resolution localization","created":"2024-11-14","cited_by_count":0,"area":null},{"id":"2503.10629","title":"Hierarchical Self-Supervised Adversarial Training for Robust Vision Models in Histopathology","created":"2025-03-13","cited_by_count":0,"area":null},{"id":"2511.06958","title":"Learning from the Right Patches: A Two-Stage Wavelet-Driven Masked Autoencoder for Histopathology Representation Learning","created":"2025-11-10","cited_by_count":0,"area":null}],"next_cursor":null}