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Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging., , , , , , , , , and 17 other author(s). CoRR, (2020)Harmonizing functional connectivity reduces scanner effects in community detection., , , , , , , , , and 2 other author(s). NeuroImage, (2022)Deep Learning Based Detection of Enlarged Perivascular Spaces on Brain MRI., , , , , , , , , and 5 other author(s). CoRR, (2022)Disentangling brain heterogeneity via semi-supervised deep-learning and MRI: dimensional representations of Alzheimer's Disease., , , , , , , , , and 1 other author(s). CoRR, (2021)Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering., , , , , , , , , and 18 other author(s). CoRR, (2023)Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident Performance., , , , , , , , , and 6 other author(s). J. Digit. Imaging, 34 (4): 1049-1058 (2021)Artificial Intelligence-Powered Clinical Decision Support and Simulation Platform for Radiology Trainee Education., , , , and . J. Digit. Imaging, 36 (1): 11-16 (February 2023)Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning., , , , , , , , , and 11 other author(s). CoRR, (2021)Image-to-Image Translation Between Tau Pathology and Neuronal Metabolism PET in Alzheimer Disease with Multi-domain Contrastive Learning., , , , , , , and . MLCN@MICCAI, volume 14312 of Lecture Notes in Computer Science, page 3-13. Springer, (2023)DEEPMIR: A DEEP convolutional neural network for differential detection of cerebral Microbleeds and IRon deposits in MRI., , , , , , , , and . CoRR, (2020)