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Benchmarking saliency methods for chest X-ray interpretation., , , , , , , , , и 2 other автор(ы). Nat. Mac. Intell., 4 (10): 867-878 (октября 2022)RadEdit: stress-testing biomedical vision models via diffusion image editing., , , , , , , , , и 4 other автор(ы). CoRR, (2023)CheXstray: Real-time Multi-Modal Data Concordance for Drift Detection in Medical Imaging AI., , , , , , , , и . CoRR, (2022)Cross-Modal Data Programming Enables Rapid Medical Machine Learning., , , , , , , , , и 1 other автор(ы). Patterns, 1 (2): 100019 (2020)Automated coronary calcium scoring using deep learning with multicenter external validation., , , , , , , , , и 14 other автор(ы). npj Digit. Medicine, (2021)PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging., , , , , , , , , и 7 other автор(ы). npj Digit. Medicine, (2020)CheXstray: A Real-Time Multi-Modal Monitoring Workflow for Medical Imaging AI., , , , , , , , , и 1 other автор(ы). MICCAI (3), том 14222 из Lecture Notes in Computer Science, стр. 326-336. Springer, (2023)Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT., , , , , и . EMNLP (1), стр. 1500-1519. Association for Computational Linguistics, (2020)CheXphoto: 10, 000+ Photos and Transformations of Chest X-rays for Benchmarking Deep Learning Robustness., , , , , , , , , и 3 other автор(ы). ML4H@NeurIPS, том 136 из Proceedings of Machine Learning Research, стр. 318-327. PMLR, (2020)CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT., , , , , и . CoRR, (2020)