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Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery., , , , , и . CoRR, (2018)Learning Data Consistency and its Application to Dynamic MR Imaging., , , , , , , и . IEEE Trans. Medical Imaging, 40 (11): 3140-3153 (2021)A New Deep Learning Network for Mitigating Limited-view and Under-sampling Artifacts in Ring-shaped Photoacoustic Tomography., , , , , , и . Comput. Medical Imaging Graph., (2020)Computational MRI: Compressive Sensing and Beyond From the Guest Editors., , , и . IEEE Signal Process. Mag., 37 (1): 21-23 (2020)Linear transformations and Restricted Isometry Property., и . ICASSP, стр. 2961-2964. IEEE, (2009)A hybrid total-variation minimization approach to compressed sensing., , , и . ISBI, стр. 74-77. IEEE, (2012)Accelerating dynamic magnetic resonance imaging by nonlinear sparse coding., , , , и . ISBI, стр. 510-513. IEEE, (2016)Bi-Linear modeling of manifold-data geometry for Dynamic-MRI recovery., , , , и . CAMSAP, стр. 1-5. IEEE, (2017)SecSAKE: Towards Secure and Efficient Outsourcing of Clinical MRI Reconstruction., , , и . AsiaCCS, стр. 537-550. ACM, (2018)Noise behavior of MR brain reconstructions using compressed sensing., , , и . EMBC, стр. 5155-5158. IEEE, (2013)