{"total":22,"rows":[{"id":"2210.12843","title":"Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification","created":"2022-10-23","cited_by_count":65,"area":null},{"id":"2112.12349","title":"Learning Hierarchical Attention for Weakly-supervised Chest X-Ray Abnormality Localization and Diagnosis","created":"2021-12-23","cited_by_count":24,"area":null},{"id":"2109.12265","title":"Label-Assemble: Leveraging Multiple Datasets with Partial Labels","created":"2021-09-25","cited_by_count":20,"area":null},{"id":"2206.04246","title":"SwinCheX: Multi-label classification on chest X-ray images with transformers","created":"2022-06-09","cited_by_count":12,"area":null},{"id":"2210.06980","title":"Probabilistic Integration of Object Level Annotations in Chest X-ray Classification","created":"2022-10-13","cited_by_count":10,"area":null},{"id":"2309.13550","title":"I-AI: A Controllable & Interpretable AI System for Decoding Radiologists' Intense Focus for Accurate CXR Diagnoses","created":"2023-09-24","cited_by_count":10,"area":null},{"id":"2105.14773","title":"Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction","created":"2021-05-31","cited_by_count":7,"area":null},{"id":"2106.07049","title":"Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis","created":"2021-06-13","cited_by_count":7,"area":null},{"id":"2104.05261","title":"Robust Classification from Noisy Labels: Integrating Additional Knowledge for Chest Radiography Abnormality Assessment","created":"2021-04-12","cited_by_count":6,"area":null},{"id":"2101.07945","title":"Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations","created":"2021-01-20","cited_by_count":5,"area":null},{"id":"2210.02998","title":"ThoraX-PriorNet: A Novel Attention-Based Architecture Using Anatomical Prior Probability Maps for Thoracic Disease Classification","created":"2022-10-06","cited_by_count":5,"area":null},{"id":"2101.11224","title":"Reciprocal Landmark Detection and Tracking with Extremely Few Annotations","created":"2021-01-27","cited_by_count":4,"area":null},{"id":"2404.18933","title":"Learning Low-Rank Feature for Thorax Disease Classification","created":"2024-02-14","cited_by_count":4,"area":null},{"id":"2306.01232","title":"Deep Reinforcement Learning Framework for Thoracic Diseases Classification via Prior Knowledge Guidance","created":"2023-06-02","cited_by_count":3,"area":null},{"id":"2404.11843","title":"Computer-Aided Diagnosis of Thoracic Diseases in Chest X-rays using hybrid CNN-Transformer Architecture","created":"2024-04-18","cited_by_count":3,"area":null},{"id":"2102.06096","title":"Searching for Pneumothorax in X-Ray Images Using Autoencoded Deep Features","created":"2021-02-11","cited_by_count":2,"area":null},{"id":"2102.13269","title":"Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification","created":"2021-02-26","cited_by_count":2,"area":null},{"id":"2505.23595","title":"DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-ray Classification","created":"2025-05-29","cited_by_count":2,"area":null},{"id":"2512.16700","title":"CLARiTy: A Vision Transformer for Multi-Label Classification and Weakly-Supervised Localization of Chest X-ray Pathologies","created":"2025-12-18","cited_by_count":1,"area":null},{"id":"2105.12430","title":"Weighing Features of Lung and Heart Regions for Thoracic Disease Classification","created":"2021-05-26","cited_by_count":0,"area":null},{"id":"2301.13418","title":"BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete Annotations","created":"2023-01-31","cited_by_count":0,"area":null},{"id":"2602.17048","title":"StructCore: Structure-Aware Image-Level Scoring for Training-Free Unsupervised Anomaly Detection","created":"2026-02-19","cited_by_count":0,"area":null}],"next_cursor":null}