{"total":49,"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":"2401.06148","title":"Artificial Intelligence for Digital and Computational Pathology","created":"2023-12-13","cited_by_count":108,"area":null},{"id":"2409.09173","title":"Phikon-v2, A large and public feature extractor for biomarker prediction","created":"2024-09-13","cited_by_count":74,"area":null},{"id":"2303.08446","title":"Task-specific Fine-tuning via Variational Information Bottleneck for Weakly-supervised Pathology Whole Slide Image Classification","created":"2023-03-15","cited_by_count":54,"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":"2305.17891","title":"The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification","created":"2023-05-29","cited_by_count":41,"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":"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":"2210.09452","title":"Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning","created":"2022-10-17","cited_by_count":22,"area":null},{"id":"2307.02249","title":"Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need","created":"2023-07-05","cited_by_count":22,"area":null},{"id":"2310.20704","title":"Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders","created":"2023-10-31","cited_by_count":17,"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":"2204.05044","title":"From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathology","created":"2022-04-11","cited_by_count":9,"area":null},{"id":"2211.10043","title":"Vision Transformers in Medical Imaging: A Review","created":"2022-11-18","cited_by_count":8,"area":null},{"id":"2406.14866","title":"AI-based Anomaly Detection for Clinical-Grade Histopathological Diagnostics","created":"2024-06-21","cited_by_count":8,"area":null},{"id":"2407.03307","title":"HoloHisto: End-to-end Gigapixel WSI Segmentation with 4K Resolution Sequential Tokenization","created":"2024-07-03","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":"2307.05254","title":"OpenAL: An Efficient Deep Active Learning Framework for Open-Set Pathology Image Classification","created":"2023-07-11","cited_by_count":5,"area":null},{"id":"2407.08153","title":"Lifelong Histopathology Whole Slide Image Retrieval via Distance Consistency Rehearsal","created":"2024-07-11","cited_by_count":5,"area":null},{"id":"2503.05678","title":"Towards Effective and Efficient Context-aware Nucleus Detection in Histopathology Whole Slide Images","created":"2025-03-04","cited_by_count":5,"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":"2504.13186","title":"Advanced Deep Learning and Large Language Models: Comprehensive Insights for Cancer Detection","created":"2025-03-30","cited_by_count":4,"area":null},{"id":"2207.11581","title":"Self-supervised contrastive learning of echocardiogram videos enables label-efficient cardiac disease diagnosis","created":"2022-07-23","cited_by_count":3,"area":null},{"id":"2209.01534","title":"Multi-modal Masked Autoencoders Learn Compositional Histopathological Representations","created":"2022-09-04","cited_by_count":3,"area":null},{"id":"2310.00027","title":"Out-Of-Domain Unlabeled Data Improves Generalization","created":"2023-09-29","cited_by_count":3,"area":null},{"id":"2402.10717","title":"BioFusionNet: Deep Learning-Based Survival Risk Stratification in ER+ Breast Cancer Through Multifeature and Multimodal Data Fusion","created":"2024-02-16","cited_by_count":3,"area":null},{"id":"2208.10429","title":"Patient-level Microsatellite Stability Assessment from Whole Slide Images By Combining Momentum Contrast Learning and Group Patch Embeddings","created":"2022-08-22","cited_by_count":2,"area":null},{"id":"2209.06185","title":"HistoPerm: A Permutation-Based View Generation Approach for Improving Histopathologic Feature Representation Learning","created":"2022-09-13","cited_by_count":2,"area":null},{"id":"2406.06517","title":"Genomics-guided Representation Learning for Pathologic Pan-cancer Tumor Microenvironment Subtype Prediction","created":"2024-06-10","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":"2511.05034","title":"Dynamic Residual Encoding with Slide-Level Contrastive Learning for End-to-End Whole Slide Image Representation","created":"2025-11-07","cited_by_count":2,"area":null},{"id":"2603.27460","title":"Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development","created":"2026-03-29","cited_by_count":2,"area":null},{"id":"2211.07384","title":"Language models are good pathologists: using attention-based sequence reduction and text-pretrained transformers for efficient WSI classification","created":"2022-11-14","cited_by_count":1,"area":null},{"id":"2211.07425","title":"Seeded iterative clustering for histology region identification","created":"2022-11-14","cited_by_count":1,"area":null},{"id":"2308.01328","title":"A vision transformer-based framework for knowledge transfer from multi-modal to mono-modal lymphoma subtyping models","created":"2023-08-02","cited_by_count":1,"area":null},{"id":"2404.04983","title":"Primary liver cancer classification from routine tumour biopsy using weakly supervised deep learning","created":"2024-04-07","cited_by_count":1,"area":null},{"id":"2404.16397","title":"Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology","created":"2024-04-25","cited_by_count":1,"area":null},{"id":"2406.02990","title":"Predicting Genetic Mutation from Whole Slide Images via Biomedical-Linguistic Knowledge Enhanced Multi-label Classification","created":"2024-06-05","cited_by_count":1,"area":null},{"id":"2408.01167","title":"Rethinking Pre-Trained Feature Extractor Selection in Multiple Instance Learning for Whole Slide Image Classification","created":"2024-08-02","cited_by_count":1,"area":null},{"id":"2303.05180","title":"Classification in Histopathology: A unique deep embeddings extractor for multiple classification tasks","created":"2023-03-09","cited_by_count":0,"area":null},{"id":"2306.03407","title":"LESS: Label-efficient Multi-scale Learning for Cytological Whole Slide Image Screening","created":"2023-06-06","cited_by_count":0,"area":null},{"id":"2311.10305","title":"Semi-supervised ViT knowledge distillation network with style transfer normalization for colorectal liver metastases survival prediction","created":"2023-11-17","cited_by_count":0,"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":"2405.15127","title":"Benchmarking Hierarchical Image Pyramid Transformer for the classification of colon biopsies and polyps in histopathology images","created":"2024-05-24","cited_by_count":0,"area":null},{"id":"2408.01162","title":"PreMix: Label-Efficient Multiple Instance Learning via Non-Contrastive Pre-training and Feature Mixing","created":"2024-08-02","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":"2608.04926","title":"Consistency-Driven Co-Evolution for Self-Supervised Cross-Representation Learning","created":"2026-08-05","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}