{"total":33,"rows":[{"id":"2210.04620","title":"FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings","created":"2022-10-10","cited_by_count":125,"area":null},{"id":"2102.10553","title":"A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches","created":"2021-02-21","cited_by_count":44,"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":"2109.05819","title":"Self supervised learning improves dMMR/MSI detection from histology slides across multiple cancers","created":"2021-09-13","cited_by_count":23,"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":"2205.04723","title":"Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training","created":"2022-05-10","cited_by_count":21,"area":null},{"id":"2106.02694","title":"Efficient Classification of Very Large Images with Tiny Objects","created":"2021-06-04","cited_by_count":17,"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":"2105.10445","title":"WeGleNet: A Weakly-Supervised Convolutional Neural Network for the Semantic Segmentation of Gleason Grades in Prostate Histology Images","created":"2021-05-21","cited_by_count":9,"area":null},{"id":"2403.12167","title":"A Systematic Review of Generalization Research in Medical Image Classification","created":"2024-03-18","cited_by_count":8,"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":"2104.06243","title":"A State-of-the-art Survey of Artificial Neural Networks for Whole-slide Image Analysis:from Popular Convolutional Neural Networks to Potential Visual Transformers","created":"2021-04-13","cited_by_count":7,"area":null},{"id":"2101.09992","title":"Gigapixel Histopathological Image Analysis using Attention-based Neural Networks","created":"2021-01-25","cited_by_count":6,"area":null},{"id":"2208.10495","title":"Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E-stained images: Achieving SOTA predictive performance with fewer data using Swin Transformer","created":"2022-08-22","cited_by_count":6,"area":null},{"id":"2210.09021","title":"Histopathological Image Classification based on Self-Supervised Vision Transformer and Weak Labels","created":"2022-10-17","cited_by_count":6,"area":null},{"id":"2301.07700","title":"Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images","created":"2023-01-18","cited_by_count":5,"area":null},{"id":"2309.09412","title":"Cross-attention-based saliency inference for predicting cancer metastasis on whole slide images","created":"2023-09-18","cited_by_count":5,"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":"2306.07644","title":"SRATTA : Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning","created":"2023-06-13","cited_by_count":3,"area":null},{"id":"2401.16131","title":"CIMIL-CRC: a clinically-informed multiple instance learning framework for patient-level colorectal cancer molecular subtypes classification from H\\&E stained images","created":"2024-01-29","cited_by_count":3,"area":null},{"id":"2204.11294","title":"Colorectal cancer survival prediction using deep distribution based multiple-instance learning","created":"2022-04-24","cited_by_count":1,"area":null},{"id":"2412.02012","title":"INSIGHT: Explainable Weakly-Supervised Medical Image Analysis","created":"2024-12-02","cited_by_count":1,"area":null},{"id":"2512.13440","title":"IMILIA: interpretable multiple instance learning for inflammation prediction in IBD from H&E whole slide images","created":"2025-12-15","cited_by_count":1,"area":null},{"id":"2302.12653","title":"MesoGraph: Automatic Profiling of Malignant Mesothelioma Subtypes from Histological Images","created":"2023-02-23","cited_by_count":0,"area":null},{"id":"2408.00427","title":"CARMIL: Context-Aware Regularization on Multiple Instance Learning models for Whole Slide Images","created":"2024-08-01","cited_by_count":0,"area":null},{"id":"2411.05028","title":"Leveraging Transfer Learning and Multiple Instance Learning for HER2 Automatic Scoring of H\\&E Whole Slide Images","created":"2024-11-05","cited_by_count":0,"area":null},{"id":"2502.20144","title":"Robust sensitivity control in digital pathology via tile score distribution matching","created":"2025-02-27","cited_by_count":0,"area":null},{"id":"2503.05170","title":"Leveraging Spatial Context for Positive Pair Sampling in Histopathology Image Representation Learning","created":"2025-03-07","cited_by_count":0,"area":null},{"id":"2503.17983","title":"Histomorphology-Guided Prototypical Multi-Instance Learning for Breast Cancer WSI Classification","created":"2025-03-23","cited_by_count":0,"area":null},{"id":"2509.11034","title":"Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images","created":"2025-09-14","cited_by_count":0,"area":null},{"id":"2510.03555","title":"GAS-MIL: Group-Aggregative Selection Multi-Instance Learning for Ensemble of Foundation Models in Digital Pathology Image Analysis","created":"2025-10-03","cited_by_count":0,"area":null},{"id":"2604.17122","title":"Multimodal Fusion of Histopathology Images and Electronic Health Records for Early Breast Cancer Diagnosis","created":"2026-04-18","cited_by_count":0,"area":null}],"next_cursor":null}