{"total":58,"rows":[{"id":"2111.00595","title":"TorchXRayVision: A library of chest X-ray datasets and models","created":"2021-10-31","cited_by_count":131,"area":null},{"id":"2103.08700","title":"Deep Learning for Chest X-ray Analysis: A Survey","created":"2021-03-15","cited_by_count":84,"area":null},{"id":"2502.02673","title":"MedRAX: Medical Reasoning Agent for Chest X-ray","created":"2025-02-04","cited_by_count":70,"area":null},{"id":"2312.02366","title":"Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks","created":"2023-12-04","cited_by_count":33,"area":null},{"id":"2103.11163","title":"An Empirical Framework for Domain Generalization in Clinical Settings","created":"2021-03-20","cited_by_count":32,"area":null},{"id":"2209.02965","title":"Risk of Bias in Chest Radiography Deep Learning Foundation Models","created":"2022-09-07","cited_by_count":27,"area":null},{"id":"2203.15331","title":"CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters","created":"2022-03-29","cited_by_count":20,"area":null},{"id":"2209.13983","title":"Medical Image Captioning via Generative Pretrained Transformers","created":"2022-09-28","cited_by_count":20,"area":null},{"id":"2107.02970","title":"GAN-based Data Augmentation for Chest X-ray Classification","created":"2021-07-07","cited_by_count":18,"area":null},{"id":"2308.04431","title":"When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations","created":"2023-08-08","cited_by_count":18,"area":null},{"id":"2208.00781","title":"Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods","created":"2022-07-26","cited_by_count":15,"area":null},{"id":"2106.00116","title":"Effect of Pre-Training Scale on Intra- and Inter-Domain Full and Few-Shot Transfer Learning for Natural and Medical X-Ray Chest Images","created":"2021-05-31","cited_by_count":11,"area":null},{"id":"2201.11620","title":"Domain generalization in deep learning-based mass detection in mammography: A large-scale multi-center study","created":"2022-01-27","cited_by_count":10,"area":null},{"id":"2210.17398","title":"Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation","created":"2022-10-31","cited_by_count":10,"area":null},{"id":"2307.03967","title":"End-to-End Supervised Multilabel Contrastive Learning","created":"2023-07-08","cited_by_count":8,"area":null},{"id":"2403.04024","title":"Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: a data-driven approach for improved classification","created":"2024-03-06","cited_by_count":8,"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":"2208.03545","title":"An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest Radiograph","created":"2022-08-06","cited_by_count":7,"area":null},{"id":"2508.16783","title":"Improving Performance, Robustness, and Fairness of Radiographic AI Models with Finely-Controllable Synthetic Data","created":"2025-08-22","cited_by_count":7,"area":null},{"id":"2302.11557","title":"K-Diag: Knowledge-enhanced Disease Diagnosis in Radiographic Imaging","created":"2023-02-22","cited_by_count":6,"area":null},{"id":"2306.06503","title":"Preserving privacy in domain transfer of medical AI models comes at no performance costs: The integral role of differential privacy","created":"2023-06-10","cited_by_count":6,"area":null},{"id":"2209.12935","title":"A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection","created":"2022-09-26","cited_by_count":5,"area":null},{"id":"2402.00205","title":"Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital Data","created":"2024-01-31","cited_by_count":5,"area":null},{"id":"2302.02907","title":"GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks","created":"2023-02-06","cited_by_count":4,"area":null},{"id":"2506.14329","title":"Adjustment for Confounding using Pre-Trained Representations","created":"2025-06-17","cited_by_count":4,"area":null},{"id":"2104.10553","title":"Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning-based Radiograph Diagnosis: A Multicenter Study","created":"2021-04-21","cited_by_count":3,"area":null},{"id":"2207.14408","title":"Deep learning for understanding multilabel imbalanced Chest X-ray datasets","created":"2022-07-28","cited_by_count":3,"area":null},{"id":"2212.08130","title":"On Evaluating Adversarial Robustness of Chest X-ray Classification: Pitfalls and Best Practices","created":"2022-12-15","cited_by_count":3,"area":null},{"id":"2102.09475","title":"Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays","created":"2021-02-18","cited_by_count":2,"area":null},{"id":"2209.04326","title":"Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System","created":"2022-09-09","cited_by_count":2,"area":null},{"id":"2408.04949","title":"CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning","created":"2024-08-09","cited_by_count":2,"area":null},{"id":"2409.07012","title":"Towards Predicting Temporal Changes in a Patient's Chest X-ray Images based on Electronic Health Records","created":"2024-09-11","cited_by_count":2,"area":null},{"id":"2504.02277","title":"Beyond Conventional Transformers: The Medical X-ray Attention (MXA) Block for Improved Multi-Label Diagnosis Using Knowledge Distillation","created":"2025-04-03","cited_by_count":2,"area":null},{"id":"2506.00175","title":"Who Gets Credit or Blame? Attributing Accountability in Modern AI Systems","created":"2025-05-30","cited_by_count":2,"area":null},{"id":"2107.02672","title":"COVID-19 Pneumonia Severity Prediction using Hybrid Convolution-Attention Neural Architectures","created":"2021-07-06","cited_by_count":1,"area":null},{"id":"2112.12843","title":"Impact of class imbalance on chest x-ray classifiers: towards better evaluation practices for discrimination and calibration performance","created":"2021-12-23","cited_by_count":1,"area":null},{"id":"2112.13734","title":"Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models","created":"2021-12-27","cited_by_count":1,"area":null},{"id":"2306.17555","title":"Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries","created":"2023-06-30","cited_by_count":1,"area":null},{"id":"2309.04462","title":"Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays","created":"2023-09-08","cited_by_count":1,"area":null},{"id":"2401.08409","title":"Faster ISNet for Background Bias Mitigation on Deep Neural Networks","created":"2024-01-16","cited_by_count":1,"area":null},{"id":"2503.04979","title":"HyDA: Hypernetworks for Test Time Domain Adaptation in Medical Imaging Analysis","created":"2025-03-06","cited_by_count":1,"area":null},{"id":"2511.22990","title":"MIMM-X: Disentangling Spurious Correlations for Medical Image Analysis","created":"2025-11-28","cited_by_count":1,"area":null},{"id":"2602.21179","title":"Mask-HybridGNet: Graph-based segmentation with emergent anatomical correspondence from pixel-level supervision","created":"2026-02-24","cited_by_count":1,"area":null},{"id":"2606.03211","title":"Optimized Labeling Resource Allocation for Prediction-Assisted Inference via OPAL","created":"2026-06-02","cited_by_count":1,"area":null},{"id":"2204.13194","title":"Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare","created":"2022-04-27","cited_by_count":0,"area":null},{"id":"2211.02475","title":"Generalizability of Deep Adult Lung Segmentation Models to the Pediatric Population: A Retrospective Study","created":"2022-11-04","cited_by_count":0,"area":null},{"id":"2211.15410","title":"Private Multi-Winner Voting for Machine Learning","created":"2022-11-23","cited_by_count":0,"area":null},{"id":"2402.05713","title":"Hidden in Plain Sight: Undetectable Adversarial Bias Attacks on Vulnerable Patient Populations","created":"2024-02-08","cited_by_count":0,"area":null},{"id":"2502.16622","title":"Diagnosing COVID-19 Severity from Chest X-Ray Images Using ViT and CNN Architectures","created":"2025-02-23","cited_by_count":0,"area":null},{"id":"2507.12269","title":"Site-Level Fine-Tuning with Progressive Layer Freezing: Towards Robust Prediction of Bronchopulmonary Dysplasia from Day-1 Chest Radiographs in Extremely Preterm Infants","created":"2025-07-16","cited_by_count":0,"area":null},{"id":"2507.22776","title":"Label-free estimation of clinically relevant performance metrics under distribution shifts","created":"2025-07-30","cited_by_count":0,"area":null},{"id":"2509.25590","title":"MetaChest: Generalized few-shot learning of pathologies from chest X-rays","created":"2025-09-29","cited_by_count":0,"area":null},{"id":"2512.19540","title":"Active Convolved Illumination with Deep Transfer Learning for Complex Beam Transmission through Atmospheric Turbulence","created":"2025-12-22","cited_by_count":0,"area":null},{"id":"2604.04614","title":"A Clinical Point Cloud Paradigm for In-Hospital Mortality Prediction from Multi-Level Incomplete Multimodal EHRs","created":"2026-04-06","cited_by_count":0,"area":null},{"id":"2605.19201","title":"On-Device Continual Learning with Dual-Stage Buffer and Dynamic Loss for Point-of-Care Pneumonia Diagnosis","created":"2026-05-19","cited_by_count":0,"area":null},{"id":"2606.31785","title":"Self-Supervised Temporal Regularization for Landmark-Based Cardiac Segmentation with Automatic AHA Regional Mapping","created":"2026-06-30","cited_by_count":0,"area":null},{"id":"2607.22736","title":"Benchmarking the Domain Gap: Model Selection Instability Under Domain Shift in Video Capsule Endoscopy","created":"2026-07-22","cited_by_count":0,"area":null},{"id":"2609.02101","title":"Federated LoRA Adaptation of BiomedCLIP Across Four International Chest X-Ray Cohorts","created":"2026-09-02","cited_by_count":0,"area":null}],"next_cursor":null}