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Deep learning-based parameter mapping for joint relaxation and diffusion tensor MR Fingerprinting., , , , , , , , , and 6 other author(s). MIDL, volume 121 of Proceedings of Machine Learning Research, page 638-654. PMLR, (2020)Learning residual motion correction for fast and robust 3D multiparametric MRI., , , , , , , , , and 5 other author(s). Medical Image Anal., (2022)Region of Interest focused MRI to Synthetic CT Translation using Regression and Classification Multi-task Network., , , , , , , , , and 5 other author(s). CoRR, (2022)Deep MR Fingerprinting with total-variation and low-rank subspace priors., , , , and . CoRR, (2019)Simultaneous Parameter Mapping, Modality Synthesis, and Anatomical Labeling of the Brain with MR Fingerprinting., , , , , , , and . MICCAI (3), volume 9902 of Lecture Notes in Computer Science, page 579-586. (2016)Geometry of Deep Learning for Magnetic Resonance Fingerprinting., , , , and . ICASSP, page 7825-7829. IEEE, (2019)Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI., , , , and . ISBI, page 1-4. IEEE, (2023)Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders., , , , , , and . CoRR, (2020)Combined MRI–PET dissects dynamic changes in plant structures and functions, , , , , , , , , and 5 other author(s). The Plant Journal, 59 (4): 634--644 (2009)Uncertainty quantification for sparse Fourier recovery., , , , and . CoRR, (2022)