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HIgh b-value and high Resolution Integrated Diffusion (HIBRID) imaging., , , , , , , and . NeuroImage, (2017)Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome., , , , , , , , , and 25 other author(s). NeuroImage, (2021)MGH-USC Human Connectome Project datasets with ultra-high b-value diffusion MRI., , , , , , , , , and 14 other author(s). NeuroImage, (2016)Mesoscale Brain Mapping: Bridging Scales and Modalities in Neuroimaging - A Symposium Review., , , , , , , , , and 14 other author(s). Neuroinformatics, 22 (4): 679-706 (October 2024)Image reconstruction by domain-transform manifold learning., , , , and . Nat., 555 (7697): 487-492 (2018)Enabling collaborative research using the Biomedical Informatics Research Network (BIRN)., , , , , , , , , and 10 other author(s). J. Am. Medical Informatics Assoc., 18 (4): 416-422 (2011)A regularized full reference tissue model for PET neuroreceptor mapping., , , , , , , and . NeuroImage, (2016)Upsampling dynamic contrast enhanced MRI., , , and . ISBI, page 1032-1035. IEEE, (2015)Segmentation, Survival Prediction, and Uncertainty Estimation of Gliomas from Multimodal 3D MRI Using Selective Kernel Networks., , , , , , , , , and 1 other author(s). BrainLes@MICCAI (2), volume 12659 of Lecture Notes in Computer Science, page 228-240. Springer, (2020)fMRI at 20: Has it changed the world?, and . NeuroImage, 62 (2): 1316-1324 (2012)