{"total":37,"rows":[{"id":"2306.07831","title":"Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images","created":"2023-06-13","cited_by_count":134,"area":null},{"id":"2203.00585","title":"Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology","created":"2022-03-01","cited_by_count":50,"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":"2205.09723","title":"Robust and Efficient Medical Imaging with Self-Supervision","created":"2022-05-19","cited_by_count":40,"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":"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":"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":"2410.16038","title":"Benchmarking Pathology Foundation Models: Adaptation Strategies and Scenarios","created":"2024-10-21","cited_by_count":17,"area":null},{"id":"2202.08195","title":"Nuclei Segmentation with Point Annotations from Pathology Images via Self-Supervised Learning and Co-Training","created":"2022-02-16","cited_by_count":16,"area":null},{"id":"2303.12484","title":"Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions","created":"2023-03-22","cited_by_count":16,"area":null},{"id":"2112.05760","title":"Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications","created":"2021-12-10","cited_by_count":12,"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":"2302.05043","title":"A Review of Predictive and Contrastive Self-supervised Learning for Medical Images","created":"2023-02-10","cited_by_count":10,"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":"2312.01099","title":"Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher","created":"2023-12-02","cited_by_count":9,"area":null},{"id":"2303.15749","title":"Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification","created":"2023-03-28","cited_by_count":8,"area":null},{"id":"2307.10696","title":"SLPD: Slide-level Prototypical Distillation for WSIs","created":"2023-07-20","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":"2401.17207","title":"Self-Supervised Representation Learning for Nerve Fiber Distribution Patterns in 3D-PLI","created":"2024-01-30","cited_by_count":4,"area":null},{"id":"2407.07504","title":"Pan-cancer Histopathology WSI Pre-training with Position-aware Masked Autoencoder","created":"2024-07-10","cited_by_count":3,"area":null},{"id":"2407.15312","title":"FMDNN: A Fuzzy-guided Multi-granular Deep Neural Network for Histopathological Image Classification","created":"2024-07-22","cited_by_count":3,"area":null},{"id":"2209.08770","title":"S$^3$R: Self-supervised Spectral Regression for Hyperspectral Histopathology Image Classification","created":"2022-09-19","cited_by_count":2,"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":"2410.13621","title":"EP-SAM: Weakly Supervised Histopathology Segmentation via Enhanced Prompt with Segment Anything","created":"2024-10-17","cited_by_count":1,"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":"2105.14117","title":"About Explicit Variance Minimization: Training Neural Networks for Medical Imaging With Limited Data Annotations","created":"2021-05-28","cited_by_count":0,"area":null},{"id":"2305.05100","title":"Adaptive Domain Generalization for Digital Pathology Images","created":"2023-05-09","cited_by_count":0,"area":null},{"id":"2311.09574","title":"LymphoML: An interpretable artificial intelligence-based method identifies morphologic features that correlate with lymphoma subtype","created":"2023-11-16","cited_by_count":0,"area":null},{"id":"2312.07489","title":"NearbyPatchCL: Leveraging Nearby Patches for Self-Supervised Patch-Level Multi-Class Classification in Whole-Slide Images","created":"2023-12-12","cited_by_count":0,"area":null},{"id":"2402.07173","title":"INSITE: labelling medical images using submodular functions and semi-supervised data programming","created":"2024-02-11","cited_by_count":0,"area":null},{"id":"2403.14346","title":"Towards Efficient Information Fusion: Concentric Dual Fusion Attention Based Multiple Instance Learning for Whole Slide Images","created":"2024-03-21","cited_by_count":0,"area":null},{"id":"2411.03041","title":"Judge Like a Real Doctor: Dual Teacher Sample Consistency Framework for Semi-supervised Medical Image Classification","created":"2024-11-05","cited_by_count":0,"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":"2504.12132","title":"Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision","created":"2025-04-16","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":"2510.14403","title":"DCMIL: A Progressive Representation Learning of Whole Slide Images for Cancer Prognosis Analysis","created":"2025-10-16","cited_by_count":0,"area":null}],"next_cursor":null}