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Risk of Training Diagnostic Algorithms on Data with Demographic Bias.

, , , , and . iMIMIC/MIL3ID/LABELS@MICCAI, volume 12446 of Lecture Notes in Computer Science, page 183-192. Springer, (2020)

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Risk of Training Diagnostic Algorithms on Data with Demographic Bias., , , , and . iMIMIC/MIL3ID/LABELS@MICCAI, volume 12446 of Lecture Notes in Computer Science, page 183-192. Springer, (2020)Molecular Subtype Prediction for Breast Cancer Using H&E Specialized Backbone., , , , , , and . COMPAY@MICCAI, volume 156 of Proceedings of Machine Learning Research, page 1-9. PMLR, (2021)Biologically-Inspired Supervised Vasculature Segmentation in SLO Retinal Fundus Images., , , and . ICIAR, volume 9164 of Lecture Notes in Computer Science, page 325-334. Springer, (2015)Deep Cellular Embeddings: An Explainable Plug and Play Improvement for Feature Representation in Histopathology., , , and . MICCAI (6), volume 14225 of Lecture Notes in Computer Science, page 776-785. Springer, (2023)4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model., , , , , and . MIDL, volume 121 of Proceedings of Machine Learning Research, page 6-18. PMLR, (2020)Pattern recognition in large electrical motors., and . ISIE, page 721-726. IEEE, (2014)Aggregation Model Hyperparameters Matter in Digital Pathology., , , , and . CoRR, (2023)XCAT-GAN for Synthesizing 3D Consistent Labeled Cardiac MR Images on Anatomically Variable XCAT Phantoms., , , , , , and . MICCAI (4), volume 12264 of Lecture Notes in Computer Science, page 128-137. Springer, (2020)Boosted Exudate Segmentation in Retinal Images Using Residual Nets., , , and . FIFI/OMIA@MICCAI, volume 10554 of Lecture Notes in Computer Science, page 210-218. Springer, (2017)Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing., , , , , , , , , and 9 other author(s). iMIMIC/MIL3ID/LABELS@MICCAI, volume 12446 of Lecture Notes in Computer Science, page 1. Springer, (2020)