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Cross-Modal Data Programming Enables Rapid Medical Machine Learning., , , , , , , , , and 1 other author(s). Patterns, 1 (2): 100019 (2020)Automated coronary calcium scoring using deep learning with multicenter external validation., , , , , , , , , and 14 other author(s). npj Digit. Medicine, (2021)CheXstray: A Real-Time Multi-Modal Monitoring Workflow for Medical Imaging AI., , , , , , , , , and 1 other author(s). MICCAI (3), volume 14222 of Lecture Notes in Computer Science, page 326-336. Springer, (2023)CheXphoto: 10, 000+ Photos and Transformations of Chest X-rays for Benchmarking Deep Learning Robustness., , , , , , , , , and 3 other author(s). ML4H@NeurIPS, volume 136 of Proceedings of Machine Learning Research, page 318-327. PMLR, (2020)Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT., , , , , and . EMNLP (1), page 1500-1519. Association for Computational Linguistics, (2020)CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison., , , , , , , , , and 10 other author(s). AAAI, page 590-597. AAAI Press, (2019)Assessing Robustness to Noise: Low-Cost Head CT Triage., , , , , , and . CoRR, (2020)VisualCheXbert: addressing the discrepancy between radiology report labels and image labels., , , , , , , , , and . CHIL, page 105-115. ACM, (2021)Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image Segmentation., , , , and . ML4H@NeurIPS, volume 193 of Proceedings of Machine Learning Research, page 391-404. PMLR, (2022)Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging., , , , , , , , , and . FAccT, page 1362-1374. ACM, (2022)