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Evaluating AI systems under uncertain ground truth: a case study in dermatology., , , , , , , , , and 10 other author(s). CoRR, (2023)Robust and Efficient Medical Imaging with Self-Supervision., , , , , , , , , and 24 other author(s). CoRR, (2022)MINT: A wrapper to make multi-modal and multi-image AI models interactive., , , , , , , , , and 3 other author(s). CoRR, (2024)Does your dermatology classifier know what it doesn't know? Detecting the long-tail of unseen conditions., , , , , , , , , and 11 other author(s). Medical Image Anal., (2022)Detecting and Preventing Shortcut Learning for Fair Medical AI using Shortcut Testing (ShorT)., , , , , and . CoRR, (2022)Objects of violence: synthetic data for practical ML in human rights investigations., , , , , , , and . CoRR, (2020)Interactive Concept Bottleneck Models., , , , and . AAAI, page 5948-5955. AAAI Press, (2023)Supervised Transfer Learning at Scale for Medical Imaging., , , , , , , , , and 5 other author(s). CoRR, (2021)Interactive Concept Bottleneck Models., , , , and . CoRR, (2022)Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings., , , , , , , , , and 16 other author(s). CoRR, (2024)