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CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting.

, , , , , , , and . CoRR, (2020)

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Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Progressive Exaggeration on Chest X-rays., , , , , , and . CoRR, (2021)CheXphotogenic: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays., , , , , and . CoRR, (2020)Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays., , , , , , and . MIDL, volume 143 of Proceedings of Machine Learning Research, page 74-104. PMLR, (2021)Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines., , , , and . npj Digit. Medicine, (2020)CheXphoto: 10, 000+ Smartphone Photos and Synthetic Photographic Transformations of Chest X-rays for Benchmarking Deep Learning Robustness., , , , , , , , , and . CoRR, (2020)CheXternal: generalization of deep learning models for chest X-ray interpretation to photos of chest X-rays and external clinical settings., , , , and . CHIL, page 125-132. ACM, (2021)CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT., , , , , and . CoRR, (2020)Benchmarking saliency methods for chest X-ray interpretation., , , , , , , , , and 2 other author(s). Nat. Mac. Intell., 4 (10): 867-878 (October 2022)Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT., , , , , and . EMNLP (1), page 1500-1519. Association for Computational Linguistics, (2020)RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models., , , , , , , , , and 2 other author(s). BioNLP@ACL, page 449-460. Association for Computational Linguistics, (2023)