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Learning a Spatiotemporal Dictionary for Magnetic Resonance Fingerprinting with Compressed Sensing.

, , , , , , и . Patch-MI@MICCAI, том 9467 из Lecture Notes in Computer Science, стр. 112-119. Springer, (2015)

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Deep learning-based parameter mapping for joint relaxation and diffusion tensor MR Fingerprinting., , , , , , , , , и 6 other автор(ы). MIDL, том 121 из Proceedings of Machine Learning Research, стр. 638-654. PMLR, (2020)Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI., , , , и . ISBI, стр. 1-4. IEEE, (2023)Simultaneous Parameter Mapping, Modality Synthesis, and Anatomical Labeling of the Brain with MR Fingerprinting., , , , , , , и . MICCAI (3), том 9902 из Lecture Notes in Computer Science, стр. 579-586. (2016)Geometry of Deep Learning for Magnetic Resonance Fingerprinting., , , , и . ICASSP, стр. 7825-7829. IEEE, (2019)High-Dimensional Confidence Regions in Sparse MRI., , , , и . ICASSP, стр. 1-5. IEEE, (2023)Combined MRI–PET dissects dynamic changes in plant structures and functions, , , , , , , , , и 5 other автор(ы). The Plant Journal, 59 (4): 634--644 (2009)Deep Image Priors for Magnetic Resonance Fingerprinting with Pretrained Bloch-Consistent Denoising Autoencoders., , , , , , , и . ISBI, стр. 1-4. IEEE, (2024)Learning a Spatiotemporal Dictionary for Magnetic Resonance Fingerprinting with Compressed Sensing., , , , , , и . Patch-MI@MICCAI, том 9467 из Lecture Notes in Computer Science, стр. 112-119. Springer, (2015)A Plug-and-Play Approach To Multiparametric Quantitative MRI: Image Reconstruction Using Pre-Trained Deep Denoisers., , , , и . ISBI, стр. 1-4. IEEE, (2022)Residual learning for 3D motion corrected quantitative MRI: Robust clinical T1, T2 and proton density mapping., , , , , , , , , и 5 other автор(ы). MIDL, том 143 из Proceedings of Machine Learning Research, стр. 618-632. PMLR, (2021)