Nakarmi U - Search Results

1

Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery.

Shetty GN, Slavakis K, Bose A, Nakarmi U, Scutari G, Ying L. Shetty GN, et al. Among authors: nakarmi u. IEEE Trans Med Imaging. 2020 Mar;39(3):688-702. doi: 10.1109/TMI.2019.2934125. Epub 2019 Aug 9. IEEE Trans Med Imaging. 2020. PMID: 31403408

2

A Kernel-Based Low-Rank (KLR) Model for Low-Dimensional Manifold Recovery in Highly Accelerated Dynamic MRI.

Nakarmi U, Wang Y, Lyu J, Liang D, Ying L. Nakarmi U, et al. IEEE Trans Med Imaging. 2017 Nov;36(11):2297-2307. doi: 10.1109/TMI.2017.2723871. Epub 2017 Jul 5. IEEE Trans Med Imaging. 2017. PMID: 28692970 Free PMC article.

3

KerNL: Kernel-Based Nonlinear Approach to Parallel MRI Reconstruction.

Lyu J, Nakarmi U, Liang D, Sheng J, Ying L. Lyu J, et al. Among authors: nakarmi u. IEEE Trans Med Imaging. 2019 Jan;38(1):312-321. doi: 10.1109/TMI.2018.2864197. Epub 2018 Aug 7. IEEE Trans Med Imaging. 2019. PMID: 30106676 Free PMC article.

4

M-MRI: A Manifold-based Framework to Highly Accelerated Dynamic Magnetic Resonance Imaging.

Nakarmi U, Slavakis K, Lyu J, Ying L. Nakarmi U, et al. Proc IEEE Int Symp Biomed Imaging. 2017 Apr;2017:19-22. doi: 10.1109/ISBI.2017.7950458. Epub 2017 Jun 19. Proc IEEE Int Symp Biomed Imaging. 2017. PMID: 30956752 Free PMC article.

5

Bi-Linear Modeling of Manifold-Data Geometry for Dynamic-MRI Recovery.

Slavakis K, Shetty GN, Bose A, Nakarmi U, Ying L. Slavakis K, et al. Among authors: nakarmi u. Int Workshop Comput Adv Multisens Adapt Process. 2017 Dec;2017:10.1109/CAMSAP.2017.8313115. doi: 10.1109/CAMSAP.2017.8313115. Epub 2018 Mar 12. Int Workshop Comput Adv Multisens Adapt Process. 2017. PMID: 31763626 Free PMC article.

6

MLS: Joint Manifold-Learning and Sparsity-Aware Framework for Highly Accelerated Dynamic Magnetic Resonance Imaging.

Nakarmi U, Slavakis K, Ying L. Nakarmi U, et al. Proc IEEE Int Symp Biomed Imaging. 2018 Apr;2018:1213-1216. doi: 10.1109/ISBI.2018.8363789. Epub 2018 May 24. Proc IEEE Int Symp Biomed Imaging. 2018. PMID: 31007840 Free PMC article.

7

ACCELERATING DYNAMIC MAGNETIC RESONANCE IMAGING BY NONLINEAR SPARSE CODING.

Nakarmi U, Zhou Y, Lyu J, Slavakis K, Ying L. Nakarmi U, et al. Proc IEEE Int Symp Biomed Imaging. 2016 Apr;2016:510-513. doi: 10.1109/ISBI.2016.7493319. Epub 2016 Jun 16. Proc IEEE Int Symp Biomed Imaging. 2016. PMID: 31709030 Free PMC article.

8

Acceleration of three-dimensional diffusion magnetic resonance imaging using a kernel low-rank compressed sensing method.

Zhang C, Arefin TM, Nakarmi U, Lee CH, Li H, Liang D, Zhang J, Ying L. Zhang C, et al. Among authors: nakarmi u. Neuroimage. 2020 Apr 15;210:116584. doi: 10.1016/j.neuroimage.2020.116584. Epub 2020 Jan 29. Neuroimage. 2020. PMID: 32004717 Free PMC article.

9

Multi-scale Unrolled Deep Learning Framework for Accelerated Magnetic Resonance Imaging.

Nakarmi U, Cheng JY, Rios EP, Mardani M, Pauly JM, Ying L, Vasanawala SS. Nakarmi U, et al. Proc IEEE Int Symp Biomed Imaging. 2020 Apr;2020:1056-1059. doi: 10.1109/isbi45749.2020.9098684. Epub 2020 May 22. Proc IEEE Int Symp Biomed Imaging. 2020. PMID: 33282118 Free PMC article.

10

Parallel MRI Reconstruction Using Broad Learning System.

Chang Y, Nakarmi U. Chang Y, et al. Among authors: nakarmi u. Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:2704-2707. doi: 10.1109/EMBC46164.2021.9630093. Annu Int Conf IEEE Eng Med Biol Soc. 2021. PMID: 34891809

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