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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)SRDTI: Deep learning-based super-resolution for diffusion tensor MRI., , , , , , , , , and 1 other author(s). CoRR, (2021)Wave-Encoded Model-based Deep Learning for Highly Accelerated Imaging with Joint Reconstruction., , , , , , and . CoRR, (2022)Covariance-Free Sparse Bayesian Learning., , , and . IEEE Trans. Signal Process., (2022)A 48-channel receive array coil for mesoscopic diffusion-weighted MRI of ex vivo human brain on the 3 T connectome scanner., , , , , , , , , and 5 other author(s). NeuroImage, (2021)Variable flip angle echo planar time-resolved imaging (vFA-EPTI) for fast high-resolution gradient echo myelin water imaging., , , , , , and . NeuroImage, (2021)Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat)., , , , , , , , and . Medical Image Anal., (May 2023)Covariance-Free Sparse Bayesian Learning., , , and . CoRR, (2021)Liver-Buda-Sage: Simultaneous Whole Liver T2 and T*2 Mapping in one Breath-Hold., , , , and . ISBI, page 1-5. IEEE, (2022)High-Dimensional Sparse Bayesian Learning without Covariance Matrices., , , and . ICASSP, page 1511-1515. IEEE, (2022)