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Anatomical context protects deep learning from adversarial perturbations in medical imaging., , , , , and . Neurocomputing, (2020)Contrast Phase Classification with a Generative Adversarial Network., , , , , , , , , and 3 other author(s). CoRR, (2019)Contextual Deep Regression Network for Volume Estimation in Orbital CT., , , , and . MICCAI (6), volume 11769 of Lecture Notes in Computer Science, page 104-111. Springer, (2019)Contrast phase classification with a generative adversarial network., , , , , , , , , and 3 other author(s). Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 1131310. SPIE, (2020)Harmonizing 1.5T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimators., , , , , , , , , and 9 other author(s). Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109490O. SPIE, (2019)Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury., , , , , , , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109490A. SPIE, (2019)Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks., , , , , , , , , and 1 other author(s). CoRR, (2018)Deep Learning Captures More Accurate Diffusion Fiber Orientations Distributions than Constrained Spherical Deconvolution., , , , , , , , , and 3 other author(s). CoRR, (2019)Learning implicit brain MRI manifolds with deep learning., , , , , and . Medical Imaging: Image Processing, volume 10574 of SPIE Proceedings, page 105741L. SPIE, (2018)Body Part Regression With Self-Supervision., , , , , , , , , and 2 other author(s). IEEE Trans. Medical Imaging, 40 (5): 1499-1507 (2021)