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SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth., , , , , , , , and . CoRR, (2018)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)Functional Networks in Temporal-Lobe Epilepsy: A Voxel-Wise Study of Resting-State Functional Connectivity and Gray-Matter Concentration., , , , , , , , and . Brain Connect., 3 (1): 22-30 (2013)Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks., , , , , , , , , and 1 other author(s). IEEE Trans. Medical Imaging, 38 (5): 1185-1196 (2019)Robust Statistical Fusion of Image Labels., , , , , and . IEEE Trans. Medical Imaging, 31 (2): 512-522 (2012)Time-distanced gates in long short-term memory networks., , , , , , , , , and 2 other author(s). Medical Image Anal., (2020)High-resolution 3D abdominal segmentation with random patch network fusion., , , , , , , , , and 4 other author(s). Medical Image Anal., (2021)Labeling lateral prefrontal sulci using spherical data augmentation and context-aware training., , , , , , , , , and . NeuroImage, (2021)Brain atrophy in long-term abstinent alcoholics who demonstrate impairment on a simulated gambling task., , , , , , and . NeuroImage, 32 (3): 1465-1471 (2006)Diffusion MRI microstructural models in the cervical spinal cord - Application, normative values, and correlations with histological analysis., , , , , , , and . NeuroImage, (2019)