{"total":165,"rows":[{"id":"2106.00908","title":"TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification","created":"2021-06-02","cited_by_count":555,"area":null},{"id":"2111.04740","title":"BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images","created":"2021-11-08","cited_by_count":132,"area":null},{"id":"2309.07778","title":"Virchow: A Million-Slide Digital Pathology Foundation Model","created":"2023-09-14","cited_by_count":90,"area":null},{"id":"2209.13167","title":"A Morphology Focused Diffusion Probabilistic Model for Synthesis of Histopathology Images","created":"2022-09-27","cited_by_count":74,"area":"diffusion"},{"id":"2101.12355","title":"A Petri Dish for Histopathology Image Analysis","created":"2021-01-29","cited_by_count":64,"area":null},{"id":"2307.15254","title":"Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification","created":"2023-07-28","cited_by_count":60,"area":null},{"id":"2102.11057","title":"Hierarchical Graph Representations in Digital Pathology","created":"2021-02-22","cited_by_count":59,"area":null},{"id":"2110.08048","title":"Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels","created":"2021-10-14","cited_by_count":43,"area":null},{"id":"2210.03664","title":"Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide Image Classification","created":"2022-10-07","cited_by_count":43,"area":"distill"},{"id":"2107.00272","title":"A Survey on Graph-Based Deep Learning for Computational Histopathology","created":"2021-07-01","cited_by_count":41,"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":"2206.08861","title":"DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification","created":"2022-06-17","cited_by_count":40,"area":null},{"id":"2102.03897","title":"Self-supervised driven consistency training for annotation efficient histopathology image analysis","created":"2021-02-07","cited_by_count":39,"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":"2111.01556","title":"Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging","created":"2021-11-01","cited_by_count":31,"area":null},{"id":"2207.01805","title":"ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification","created":"2022-07-05","cited_by_count":30,"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":"2310.19656","title":"Domain Generalization in Computational Pathology: Survey and Guidelines","created":"2023-10-30","cited_by_count":29,"area":null},{"id":"2301.08125","title":"Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification","created":"2023-01-19","cited_by_count":27,"area":null},{"id":"2104.14528","title":"GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathological Image Detection","created":"2021-04-29","cited_by_count":26,"area":null},{"id":"2109.03299","title":"Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology","created":"2021-09-07","cited_by_count":25,"area":null},{"id":"2103.00429","title":"Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models","created":"2021-02-28","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":"2202.07570","title":"ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification","created":"2022-02-15","cited_by_count":21,"area":null},{"id":"2202.05126","title":"Deep Learning for Computational Cytology: A Survey","created":"2022-02-10","cited_by_count":20,"area":null},{"id":"2206.00092","title":"FHIST: A Benchmark for Few-shot Classification of Histological Images","created":"2022-05-31","cited_by_count":20,"area":null},{"id":"2406.05205","title":"CPLIP: Zero-Shot Learning for Histopathology with Comprehensive Vision-Language Alignment","created":"2024-06-07","cited_by_count":20,"area":"mllm"},{"id":"2411.14001","title":"Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction","created":"2024-11-21","cited_by_count":20,"area":null},{"id":"2109.11071","title":"Learning to Downsample for Segmentation of Ultra-High Resolution Images","created":"2021-09-22","cited_by_count":19,"area":null},{"id":"2202.09059","title":"Towards better understanding and better generalization of few-shot classification in histology images with contrastive learning","created":"2022-02-18","cited_by_count":16,"area":null},{"id":"2408.11505","title":"MSCPT: Few-shot Whole Slide Image Classification with Multi-scale and Context-focused Prompt Tuning","created":"2024-08-21","cited_by_count":16,"area":null},{"id":"2206.06665","title":"Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images","created":"2022-06-14","cited_by_count":15,"area":null},{"id":"2306.17373","title":"HVTSurv: Hierarchical Vision Transformer for Patient-Level Survival Prediction from Whole Slide Image","created":"2023-06-30","cited_by_count":14,"area":null},{"id":"2105.04014","title":"DiagSet: a dataset for prostate cancer histopathological image classification","created":"2021-05-09","cited_by_count":13,"area":null},{"id":"2106.13689","title":"Semantic annotation for computational pathology: Multidisciplinary experience and best practice recommendations","created":"2021-06-25","cited_by_count":13,"area":null},{"id":"2109.10778","title":"Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images","created":"2021-09-22","cited_by_count":13,"area":null},{"id":"2305.05314","title":"CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images","created":"2023-05-09","cited_by_count":13,"area":null},{"id":"2201.10353","title":"A Multi-modal Fusion Framework Based on Multi-task Correlation Learning for Cancer Prognosis Prediction","created":"2022-01-22","cited_by_count":11,"area":null},{"id":"2207.06733","title":"ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images","created":"2022-07-14","cited_by_count":11,"area":null},{"id":"2210.07675","title":"Learning image representations for anomaly detection: application to discovery of histological alterations in drug development","created":"2022-10-14","cited_by_count":11,"area":null},{"id":"2403.07743","title":"Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs","created":"2024-03-12","cited_by_count":11,"area":null},{"id":"2409.11664","title":"Agent Aggregator with Mask Denoise Mechanism for Histopathology Whole Slide Image Analysis","created":"2024-09-18","cited_by_count":11,"area":null},{"id":"2204.12423","title":"RadioPathomics: Multimodal Learning in Non-Small Cell Lung Cancer for Adaptive Radiotherapy","created":"2022-04-26","cited_by_count":10,"area":null},{"id":"2208.11052","title":"IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue Classification","created":"2022-08-23","cited_by_count":10,"area":null},{"id":"2207.13050","title":"Efficient High-Resolution Deep Learning: A Survey","created":"2022-07-26","cited_by_count":9,"area":null},{"id":"2306.07999","title":"Artificial intelligence in digital pathology: a systematic review and meta-analysis of diagnostic test accuracy","created":"2023-06-13","cited_by_count":9,"area":null},{"id":"2307.02308","title":"Multi-Scale Prototypical Transformer for Whole Slide Image Classification","created":"2023-07-05","cited_by_count":9,"area":null},{"id":"2310.01685","title":"A Framework for Interpretability in Machine Learning for Medical Imaging","created":"2023-10-02","cited_by_count":9,"area":null},{"id":"2408.14496","title":"A New Era in Computational Pathology: A Survey on Foundation and Vision-Language Models","created":"2024-08-23","cited_by_count":9,"area":"mllm"},{"id":"2506.23440","title":"PathDiff: Histopathology Image Synthesis with Unpaired Text and Mask Conditions","created":"2025-06-30","cited_by_count":9,"area":"diffusion"},{"id":"2601.04163","title":"Scanner-Induced Domain Shifts Undermine the Robustness of Pathology Foundation Models","created":"2026-01-07","cited_by_count":9,"area":null},{"id":"2409.19720","title":"FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification","created":"2024-09-29","cited_by_count":8,"area":null},{"id":"2501.02922","title":"Label-free Concept Based Multiple Instance Learning for Gigapixel Histopathology","created":"2025-01-06","cited_by_count":8,"area":null},{"id":"2111.03063","title":"PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning","created":"2021-11-04","cited_by_count":7,"area":null},{"id":"2203.15015","title":"Deep Interactive Learning-based ovarian cancer segmentation of H&E-stained whole slide images to study morphological patterns of BRCA mutation","created":"2022-03-28","cited_by_count":7,"area":null},{"id":"2206.06862","title":"Evaluating histopathology transfer learning with ChampKit","created":"2022-06-14","cited_by_count":7,"area":null},{"id":"2303.17009","title":"A comparative evaluation of image-to-image translation methods for stain transfer in histopathology","created":"2023-03-29","cited_by_count":7,"area":null},{"id":"2106.07068","title":"HistoTransfer: Understanding Transfer Learning for Histopathology","created":"2021-06-13","cited_by_count":6,"area":null},{"id":"2112.06071","title":"Multi-Attention Multiple Instance Learning","created":"2021-12-11","cited_by_count":6,"area":null},{"id":"2204.08324","title":"Hierarchical Optimal Transport for Comparing Histopathology Datasets","created":"2022-04-18","cited_by_count":6,"area":null},{"id":"2306.05029","title":"Multi-level Multiple Instance Learning with Transformer for Whole Slide Image Classification","created":"2023-06-08","cited_by_count":6,"area":null},{"id":"2407.17689","title":"SAM-MIL: A Spatial Contextual Aware Multiple Instance Learning Approach for Whole Slide Image Classification","created":"2024-07-25","cited_by_count":6,"area":null},{"id":"2504.18856","title":"Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation","created":"2025-04-26","cited_by_count":6,"area":"mllm"},{"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":"2509.18553","title":"Efficient Breast and Ovarian Cancer Classification via ViT-Based Preprocessing and Transfer Learning","created":"2025-09-23","cited_by_count":6,"area":null},{"id":"2106.15299","title":"Cells are Actors: Social Network Analysis with Classical ML for SOTA Histology Image Classification","created":"2021-06-29","cited_by_count":5,"area":null},{"id":"2201.12311","title":"REET: Robustness Evaluation and Enhancement Toolbox for Computational Pathology","created":"2022-01-28","cited_by_count":5,"area":null},{"id":"2306.02691","title":"Cyclic Learning: Bridging Image-level Labels and Nuclei Instance Segmentation","created":"2023-06-05","cited_by_count":5,"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":"2407.08625","title":"Histopathological Image Classification with Cell Morphology Aware Deep Neural Networks","created":"2024-07-11","cited_by_count":5,"area":null},{"id":"2203.07659","title":"Breast Cancer Molecular Subtypes Prediction on Pathological Images with Discriminative Patch Selecting and Multi-Instance Learning","created":"2022-03-15","cited_by_count":4,"area":null},{"id":"2206.00455","title":"A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations","created":"2022-05-31","cited_by_count":4,"area":null},{"id":"2206.10878","title":"Feature Re-calibration based Multiple Instance Learning for Whole Slide Image Classification","created":"2022-06-22","cited_by_count":4,"area":null},{"id":"2207.05290","title":"Trusted Multi-Scale Classification Framework for Whole Slide Image","created":"2022-07-12","cited_by_count":4,"area":null},{"id":"2403.12537","title":"Prompt-Guided Foundation Model Tuning for Pathology Image Classification","created":"2024-03-19","cited_by_count":4,"area":null},{"id":"2509.17847","title":"Semantic and Visual Crop-Guided Diffusion Models for Heterogeneous Tissue Synthesis in Histopathology","created":"2025-09-22","cited_by_count":4,"area":"diffusion"},{"id":"2105.05345","title":"Unsupervised Representation Learning from Pathology Images with Multi-directional Contrastive Predictive Coding","created":"2021-05-11","cited_by_count":3,"area":null},{"id":"2205.04368","title":"Towards Measuring Domain Shift in Histopathological Stain Translation in an Unsupervised Manner","created":"2022-05-09","cited_by_count":3,"area":null},{"id":"2205.15530","title":"Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images","created":"2022-05-31","cited_by_count":3,"area":null},{"id":"2210.09798","title":"HistoStarGAN: A Unified Approach to Stain Normalisation, Stain Transfer and Stain Invariant Segmentation in Renal Histopathology","created":"2022-10-18","cited_by_count":3,"area":null},{"id":"2212.09977","title":"Unified Framework for Histopathology Image Augmentation and Classification via Generative Models","created":"2022-12-20","cited_by_count":3,"area":null},{"id":"2302.12662","title":"FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification","created":"2023-02-24","cited_by_count":3,"area":null},{"id":"2303.06371","title":"AugDiff: Diffusion based Feature Augmentation for Multiple Instance Learning in Whole Slide Image","created":"2023-03-11","cited_by_count":3,"area":null},{"id":"2305.02032","title":"Unsupervised Mutual Transformer Learning for Multi-Gigapixel Whole Slide Image Classification","created":"2023-05-03","cited_by_count":3,"area":null},{"id":"2308.11162","title":"A Preliminary Investigation into Search and Matching for Tumour Discrimination in WHO Breast Taxonomy Using Deep Networks","created":"2023-08-22","cited_by_count":3,"area":null},{"id":"2309.01487","title":"GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for Histopathological Image Segmentation","created":"2023-09-04","cited_by_count":3,"area":"diffusion"},{"id":"2402.16280","title":"Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation","created":"2024-02-26","cited_by_count":3,"area":null},{"id":"2504.06950","title":"PathSegDiff: Pathology Segmentation using Diffusion model representations","created":"2025-04-09","cited_by_count":3,"area":"diffusion"},{"id":"2104.09878","title":"An Attention-based Weakly Supervised framework for Spitzoid Melanocytic Lesion Diagnosis in WSI","created":"2021-04-20","cited_by_count":2,"area":null},{"id":"2112.09496","title":"Towards Launching AI Algorithms for Cellular Pathology into Clinical & Pharmaceutical Orbits","created":"2021-12-17","cited_by_count":2,"area":null},{"id":"2211.07692","title":"Self-training of Machine Learning Models for Liver Histopathology: Generalization under Clinical Shifts","created":"2022-11-14","cited_by_count":2,"area":null},{"id":"2306.03619","title":"Digitization of Pathology Labs: A Review of Lessons Learned","created":"2023-06-06","cited_by_count":2,"area":null},{"id":"2308.04578","title":"Semi-Supervised Semantic Segmentation of Cell Nuclei via Diffusion-based Large-Scale Pre-Training and Collaborative Learning","created":"2023-08-08","cited_by_count":2,"area":"diffusion"},{"id":"2404.00351","title":"Rethinking Attention-Based Multiple Instance Learning for Whole-Slide Pathological Image Classification: An Instance Attribute Viewpoint","created":"2024-03-30","cited_by_count":2,"area":null},{"id":"2412.10659","title":"MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial Transcriptomics","created":"2024-12-14","cited_by_count":2,"area":null},{"id":"2501.01932","title":"Bridging Classification and Segmentation in Osteosarcoma Assessment via Foundation and Discrete Diffusion Models","created":"2025-01-03","cited_by_count":2,"area":null},{"id":"2507.05077","title":"Sequential Attention-based Sampling for Histopathological Analysis","created":"2025-07-07","cited_by_count":2,"area":null},{"id":"2111.08430","title":"Code-free development and deployment of deep segmentation models for digital pathology","created":"2021-11-16","cited_by_count":1,"area":null},{"id":"2112.03455","title":"Hybrid guiding: A multi-resolution refinement approach for semantic segmentation of gigapixel histopathological images","created":"2021-12-07","cited_by_count":1,"area":null},{"id":"2201.01449","title":"Deep Learning-Based Sparse Whole-Slide Image Analysis for the Diagnosis of Gastric Intestinal Metaplasia","created":"2022-01-05","cited_by_count":1,"area":null}],"next_cursor":"100"}