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Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders., , , , , , and . CoRR, (2020)Unpaired MR Image Homogenisation by Disentangled Representations and Its Uncertainty., , , , , , , , and . UNSURE/PIPPI@MICCAI, volume 12959 of Lecture Notes in Computer Science, page 44-53. Springer, (2021)Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI., , , , , and . CoRR, (2022)SRflow: Deep learning based super-resolution of 4D-flow MRI data., , , , , , and . Frontiers Artif. Intell., (2022)Deep MR Fingerprinting with total-variation and low-rank subspace priors., , , , and . CoRR, (2019)Region of Interest focused MRI to Synthetic CT Translation using Regression and Classification Multi-task Network., , , , , , , , , and 5 other author(s). CoRR, (2022)Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI., , , , and . ISBI, page 1-4. IEEE, (2023)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)Compressive MRI quantification using convex spatiotemporal priors and deep encoder-decoder networks., , , , , , and . Medical Image Anal., (2021)