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Ukash Nakarmi
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A Kernel-Based Low-Rank (KLR) Model for Low-Dimensional Manifold Recovery in Highly Accelerated Dynamic MRI
U Nakarmi, Y Wang, J Lyu, D Liang, L Ying
IEEE transactions on medical imaging 36 (11), 2297-2307, 2017
702017
BCS: Compressive sensing for binary sparse signals
U Nakarmi, N Rahnavard
MILCOM 2012-2012 IEEE Military Communications Conference, 1-5, 2012
432012
Bi-linear modeling of data manifolds for dynamic-MRI recovery
GN Shetty, K Slavakis, A Bose, U Nakarmi, G Scutari, L Ying
IEEE transactions on medical imaging 39 (3), 688-702, 2019
182019
Dynamic magnetic resonance imaging using compressed sensing with self-learned nonlinear dictionary (NL-D)
U Nakarmi, Y Wang, J Lyu, L Ying
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 331-334, 2015
182015
Diagnostic image quality assessment and classification in medical imaging: Opportunities and challenges
JJ Ma, U Nakarmi, CYS Kin, CM Sandino, JY Cheng, AB Syed, P Wei, ...
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 337-340, 2020
172020
MLS: Joint manifold-learning and sparsity-aware framework for highly accelerated dynamic magnetic resonance imaging
U Nakarmi, K Slavakis, L Ying
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
142018
M-MRI: A manifold-based framework to highly accelerated dynamic magnetic resonance imaging
U Nakarmi, K Slavakis, J Lyu, L Ying
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), 19-22, 2017
142017
KerNL: Kernel-based nonlinear approach to parallel MRI reconstruction
J Lyu, U Nakarmi, D Liang, J Sheng, L Ying
IEEE transactions on medical imaging 38 (1), 312-321, 2018
132018
Joint wideband spectrum sensing in frequency overlapping cognitive radio networks using distributed compressive sensing
U Nakarmi, N Rahnavard
2011-MILCOM 2011 Military Communications Conference, 1035-1040, 2011
112011
Accelerating dynamic magnetic resonance imaging by nonlinear sparse coding
U Nakarmi, Y Zhou, J Lyu, K Slavakis, L Ying
2016 IEEE 13Th International Symposium on Biomedical Imaging (ISBI), 510-513, 2016
92016
Acceleration of three-dimensional diffusion magnetic resonance imaging using a kernel low-rank compressed sensing method
C Zhang, TM Arefin, U Nakarmi, CH Lee, H Li, D Liang, J Zhang, L Ying
NeuroImage 210, 116584, 2020
82020
Multi-scale unrolled deep learning framework for accelerated magnetic resonance imaging
U Nakarmi, JY Cheng, EP Rios, M Mardani, JM Pauly, L Ying, ...
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1056-1059, 2020
62020
Calibration-free Parallel Imaging Using Randomly Undersampled Multichannel Blind Deconvolution (MALBEC)
J Lyu, U Nakarmi, Y Zhou, C Zhang, L Ying
ISMRM Annual Meeting and Exhibition, 2017, 2017
52017
Parallel MRI Reconstruction Using Broad Learning System
Y Chang, U Nakarmi
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
32021
Highly accelerated cardiac cine parallel MRI using low-rank matrix completion and partial separability model
J Lyu, U Nakarmi, C Zhang, L Ying
Compressive Sensing V: From Diverse Modalities to Big Data Analytics 9857, 80-85, 2016
32016
Kernel bi-linear modeling for reconstructing data on manifolds: The dynamic-MRI case
GN Shetty, K Slavakis, U Nakarmi, G Scutari, L Ying
2020 28th European Signal Processing Conference (EUSIPCO), 1482-1486, 2021
22021
Accelerating T2 Mapping Using a Self-trained Kernel PCA Model
C Zhang, U Nakarmi, H Li, Y Zhou, D Liang, L Ying
ISMRM Annual Meeting and Exhibition, 2018, 2018
22018
A blind deconvolution approach to fast MR T2 mapping
J Lyu, D Liang, C Zhang, U Nakarmi, L Ying
International Society for Magnetic Resonance in Medicine 25th Annual Meeting …, 2017
22017
Compressed Sensing (CS) in phase Imaging requires dedicated reconstruction strategies
U Nakarmi, S Prasad, L Ying, F Schweser
ISMRM Annual Meeting and Exhibition, 2015, 2015
22015
Highly Accelerated 3D MR Angiography Using Multi-Channel Blind Deconvolution
P Huang, J Lyu, H Li, Y Chen, S Liu, C Zhang, U Nakarmi, EM Haacke, ...
ISMRM Annual Meeting, 2018
12018
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Articles 1–20