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Accelerating MR parameter mapping using nonlinear manifold learning and supervised pre-imaging.

, , , , , and . ISBI, page 897-900. IEEE, (2015)

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Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery., , , , , and . IEEE Trans. Med. Imaging, 39 (3): 688-702 (2020)Accelerating MR Imaging via Deep Chambolle-Pock Network., , , , , , , , , and 1 other author(s). EMBC, page 6818-6821. IEEE, (2019)A model-based method with joint sparsity constraint for direct diffusion tensor estimation., , , , , and . ISBI, page 510-513. IEEE, (2012)Translational-invariant dictionaries for compressed sensing in magnetic resonance imaging., , , and . ISBI, page 1602-1605. IEEE, (2011)Fast Calculation Method of Average G-Factor for Wave-CAIPI Imaging., , , , and . ISBI, page 1656-1659. IEEE, (2019)Enhancing Bayesian PET image reconstruction using neural networks., , and . ISBI, page 1181-1184. IEEE, (2017)Ultrasound Image De-Noising Through Karhunen-Loeve (K-L) Transform with Overlapping Segments., , and . ISBI, page 318-321. IEEE, (2009)Toeplitz Random Encoding MR Imaging Using Compressed Sensing., , , , , and . ISBI, page 270-273. IEEE, (2009)Undersampled dynamic magnetic resonance imaging using patch-based spatiotemporal dictionaries., , and . ISBI, page 294-297. IEEE, (2013)Improving image reconstructions for simultaneous multi-slice readout-segmented diffusion MRI data with phase errors., , , , , and . ISBI, page 667-670. IEEE, (2018)