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Generalizing Deep Whole Brain Segmentation for Pediatric and Post-Contrast MRI with Augmented Transfer Learning., , , , , , , , and . CoRR, (2019)Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE., , , , , , , , , and 2 other author(s). CoRR, (2019)Revealing latent value of clinically acquired CTs of traumatic brain injury through multi-atlas segmentation in a retrospective study of 1, 003 with external cross-validation., , , , , and . Medical Imaging: Image Processing, volume 9413 of SPIE Proceedings, page 94130K. SPIE, (2015)SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth., , , , , , , , and . CoRR, (2018)Deep learning for brain tumor classification., , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10137 of SPIE Proceedings, page 1013710. SPIE, (2017)Resolution of crossing fibers with constrained compressed sensing using diffusion tensor MRI., , , , , and . NeuroImage, 59 (3): 2175-2186 (2012)Formulating Spatially Varying Performance in the Statistical Fusion Framework., and . IEEE Trans. Med. Imaging, 31 (6): 1326-1336 (2012)Robust Statistical Label Fusion Through Consensus Level, Labeler Accuracy, and Truth Estimation (COLLATE)., and . IEEE Trans. Med. Imaging, 30 (10): 1779-1794 (2011)Statistical fusion of surface labels provided by multiple raters., , , and . Medical Imaging: Image Processing, volume 7623 of SPIE Proceedings, page 762344. SPIE, (2010)Robust optic nerve segmentation on clinically acquired CT., , , , , and . Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 90341G. SPIE, (2014)