{"total":35,"rows":[{"id":"2309.07778","title":"Virchow: A Million-Slide Digital Pathology Foundation Model","created":"2023-09-14","cited_by_count":90,"area":null},{"id":"2407.06508","title":"A Clinical Benchmark of Public Self-Supervised Pathology Foundation Models","created":"2024-07-09","cited_by_count":66,"area":null},{"id":"2401.04079","title":"RudolfV: A Foundation Model by Pathologists for Pathologists","created":"2024-01-08","cited_by_count":41,"area":null},{"id":"2501.16239","title":"Distilling foundation models for robust and efficient models in digital pathology","created":"2025-01-27","cited_by_count":36,"area":null},{"id":"2310.07033","title":"Computational Pathology at Health System Scale -- Self-Supervised Foundation Models from Three Billion Images","created":"2023-10-10","cited_by_count":31,"area":null},{"id":"2401.02458","title":"Data-Centric Foundation Models in Computational Healthcare: A Survey","created":"2024-01-04","cited_by_count":27,"area":null},{"id":"2404.05022","title":"DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology","created":"2024-04-07","cited_by_count":27,"area":null},{"id":"2312.07814","title":"A Foundational Multimodal Vision Language AI Assistant for Human Pathology","created":"2023-12-13","cited_by_count":21,"area":null},{"id":"2407.12210","title":"A Closer Look at Benchmarking Self-Supervised Pre-training with Image Classification","created":"2024-07-16","cited_by_count":19,"area":null},{"id":"2411.02572","title":"ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy","created":"2024-11-04","cited_by_count":13,"area":null},{"id":"2310.13259","title":"Domain-specific optimization and diverse evaluation of self-supervised models for histopathology","created":"2023-10-20","cited_by_count":11,"area":null},{"id":"2401.04720","title":"Low-resource finetuning of foundation models beats state-of-the-art in histopathology","created":"2024-01-09","cited_by_count":11,"area":null},{"id":"2407.07841","title":"Benchmarking Embedding Aggregation Methods in Computational Pathology: A Clinical Data Perspective","created":"2024-07-10","cited_by_count":10,"area":null},{"id":"2403.16497","title":"PathoTune: Adapting Visual Foundation Model to Pathological Specialists","created":"2024-03-25","cited_by_count":8,"area":null},{"id":"2402.06188","title":"A self-supervised framework for learning whole slide representations","created":"2024-02-09","cited_by_count":7,"area":null},{"id":"2402.03592","title":"GRASP: GRAph-Structured Pyramidal Whole Slide Image Representation","created":"2024-02-06","cited_by_count":5,"area":null},{"id":"2401.13511","title":"Tissue Cross-Section and Pen Marking Segmentation in Whole Slide Images","created":"2024-01-24","cited_by_count":4,"area":null},{"id":"2311.17804","title":"The Importance of Downstream Networks in Digital Pathology Foundation Models","created":"2023-11-29","cited_by_count":3,"area":null},{"id":"2403.04865","title":"Beyond Multiple Instance Learning: Full Resolution All-In-Memory End-To-End Pathology Slide Modeling","created":"2024-03-07","cited_by_count":2,"area":null},{"id":"2411.12874","title":"Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification","created":"2024-11-19","cited_by_count":2,"area":null},{"id":"2412.04260","title":"Enhancing Whole Slide Image Classification through Supervised Contrastive Domain Adaptation","created":"2024-12-05","cited_by_count":2,"area":null},{"id":"2508.04441","title":"Benchmarking Foundation Models for Mitotic Figure Classification","created":"2025-08-06","cited_by_count":2,"area":null},{"id":"2510.03455","title":"PEaRL: Pathway-Enhanced Representation Learning for Gene and Pathway Expression Prediction from Histology","created":"2025-10-03","cited_by_count":2,"area":null},{"id":"2406.18249","title":"Foundational Models for Pathology and Endoscopy Images: Application for Gastric Inflammation","created":"2024-06-26","cited_by_count":1,"area":null},{"id":"2407.18100","title":"DINOv2 Rocks Geological Image Analysis: Classification, Segmentation, and Interpretability","created":"2024-07-25","cited_by_count":1,"area":null},{"id":"2507.10250","title":"DepViT-CAD: Deployable Vision Transformer-Based Cancer Diagnosis in Histopathology","created":"2025-07-14","cited_by_count":1,"area":null},{"id":"2403.04558","title":"Reducing self-supervised learning complexity improves weakly-supervised classification performance in computational pathology","created":"2024-03-07","cited_by_count":0,"area":null},{"id":"2505.06710","title":"SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images","created":"2025-05-10","cited_by_count":0,"area":null},{"id":"2509.16935","title":"Parameter-efficient fine-tuning (PEFT) of Vision Foundation Models for Atypical Mitotic Figure Classification","created":"2025-09-21","cited_by_count":0,"area":null},{"id":"2512.10314","title":"DualProtoSeg: Simple and Efficient Design with Text- and Image-Guided Prototype Learning for Weakly Supervised Histopathology Image Segmentation","created":"2025-12-11","cited_by_count":0,"area":null},{"id":"2601.18250","title":"A multimodal vision foundation model for generalizable knee pathology","created":"2026-01-26","cited_by_count":0,"area":null},{"id":"2605.00893","title":"Retrieval-Guided Generation for Safer Histopathology Image Captioning","created":"2026-04-27","cited_by_count":0,"area":null},{"id":"2605.02660","title":"Biological Spatial Priors Regularize Foundation Model Representations for Cross-Site MSI Generalization in Colorectal Cancer","created":"2026-05-04","cited_by_count":0,"area":null},{"id":"2605.17449","title":"Spatial Blindness in Whole-Slide Multiple Instance Learning","created":"2026-05-17","cited_by_count":0,"area":null},{"id":"2609.18578","title":"Learning Where to Focus: Self-Supervised Multi-Scale ViTs for Histopathology","created":"2026-09-16","cited_by_count":0,"area":null}],"next_cursor":null}