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Disproportionate Subgroup Impacts and Other Challenges of Fairness in Artificial Intelligence for Medical Image Analysis.

, , and . EPIMI/ML-CDS@MICCAI, volume 13755 of Lecture Notes in Computer Science, page 14-25. Springer, (2022)

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Disproportionate Subgroup Impacts and Other Challenges of Fairness in Artificial Intelligence for Medical Image Analysis., , and . EPIMI/ML-CDS@MICCAI, volume 13755 of Lecture Notes in Computer Science, page 14-25. Springer, (2022)An analysis of intensity harmonization techniques for Parkinson's multi-site MRI datasets., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)A fully convolutional neural network for explainable classification of attention deficit hyperactivity disorder., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Towards objective and systematic evaluation of bias in medical imaging AI., , , , , , and . CoRR, (2023)Identifying Biases in a Multicenter MRI Database for Parkinson's Disease Classification: Is the Disease Classifier a Secret Site Classifier?, , , , , , , , and . IEEE J. Biomed. Health Informatics, 28 (4): 2047-2054 (April 2024)On the Relationship Between Open Science in Artificial Intelligence for Medical Imaging and Global Health Equity., , and . CLIP/FAIMI/EPIMI@MICCAI, volume 14242 of Lecture Notes in Computer Science, page 289-300. Springer, (2023)A Flexible Framework for Simulating and Evaluating Biases in Deep Learning-Based Medical Image Analysis., , and . MICCAI (2), volume 14221 of Lecture Notes in Computer Science, page 489-499. Springer, (2023)