Članki z zahtevami za javni dostop - Mathews JacobVeč o tem
Ni na voljo nikjer: 4
Hyperspectral image recovery using nonconvex sparsity and low-rank regularizations
Y Hu, X Li, Y Gu, M Jacob
IEEE Transactions on Geoscience and Remote Sensing 58 (1), 532-545, 2019
Zahteve: US National Science Foundation, National Natural Science Foundation of China
Compressively sampled two-dimensional infrared spectroscopy that preserves line shape information
JJ Humston, I Bhattacharya, M Jacob, CM Cheatum
The Journal of Physical Chemistry A 121 (16), 3088-3093, 2017
Zahteve: US National Science Foundation
Accelerated pseudo 3D dynamic speech MR imaging at 3T using unsupervised deep variational manifold learning
RZ Rusho, Q Zou, W Alam, S Erattakulangara, M Jacob, SG Lingala
International Conference on Medical Image Computing and Computer-Assisted …, 2022
Zahteve: US National Institutes of Health
Compressed sensing MRI using an interpolation‐free nonlinear diffusion model
A Joy, M Jacob, JS Paul
Magnetic resonance in medicine 85 (3), 1681-1696, 2021
Zahteve: Council of Scientific and Industrial Research, India
Na voljo nekje: 126
MoDL: Model-based deep learning architecture for inverse problems
HK Aggarwal, MP Mani, M Jacob
IEEE transactions on medical imaging 38 (2), 394-405, 2018
Zahteve: US Department of Defense, US National Institutes of Health
Accelerated dynamic MRI exploiting sparsity and low-rank structure: kt SLR
SG Lingala, Y Hu, E DiBella, M Jacob
IEEE transactions on medical imaging 30 (5), 1042-1054, 2011
Zahteve: US National Institutes of Health
Blind compressive sensing dynamic MRI
SG Lingala, M Jacob
IEEE transactions on medical imaging 32 (6), 1132-1145, 2013
Zahteve: US National Institutes of Health
Multi‐shot sensitivity‐encoded diffusion data recovery using structured low‐rank matrix completion (MUSSELS)
M Mani, M Jacob, D Kelley, V Magnotta
Magnetic resonance in medicine 78 (2), 494-507, 2017
Zahteve: US Department of Defense, US National Institutes of Health
Off-the-grid recovery of piecewise constant images from few Fourier samples
G Ongie, M Jacob
SIAM Journal on Imaging Sciences 9 (3), 1004-1041, 2016
Zahteve: US National Science Foundation, US National Institutes of Health
Dynamic MRI using smoothness regularization on manifolds (SToRM)
S Poddar, M Jacob
IEEE transactions on medical imaging 35 (4), 1106-1115, 2015
Zahteve: US National Institutes of Health
Dynamic MRI using model‐based deep learning and SToRM priors: MoDL‐SToRM
S Biswas, HK Aggarwal, M Jacob
Magnetic resonance in medicine 82 (1), 485-494, 2019
Zahteve: US National Institutes of Health
J-MoDL: Joint model-based deep learning for optimized sampling and reconstruction
HK Aggarwal, M Jacob
IEEE journal of selected topics in signal processing 14 (6), 1151-1162, 2020
Zahteve: US National Institutes of Health
A fast algorithm for convolutional structured low-rank matrix recovery
G Ongie, M Jacob
IEEE transactions on computational imaging 3 (4), 535-550, 2017
Zahteve: US National Science Foundation, US Department of Defense, US National …
Deformation corrected compressed sensing (DC-CS): a novel framework for accelerated dynamic MRI
SG Lingala, E DiBella, M Jacob
IEEE transactions on medical imaging 34 (1), 72-85, 2014
Zahteve: US National Institutes of Health
Nonlocal regularization of inverse problems: a unified variational framework
Z Yang, M Jacob
IEEE Transactions on Image Processing 22 (8), 3192-3203, 2012
Zahteve: US National Institutes of Health
Accelerated whole‐brain multi‐parameter mapping using blind compressed sensing
S Bhave, SG Lingala, CP Johnson, VA Magnotta, M Jacob
Magnetic resonance in medicine 75 (3), 1175-1186, 2016
Zahteve: US National Science Foundation, US National Institutes of Health, American …
Generalized higher degree total variation (HDTV) regularization
Y Hu, G Ongie, S Ramani, M Jacob
IEEE transactions on image processing 23 (6), 2423-2435, 2014
Zahteve: US National Institutes of Health
Improving the speed of MRI with artificial intelligence
PM Johnson, MP Recht, F Knoll
Seminars in musculoskeletal radiology 24 (01), 012-020, 2020
Zahteve: US National Institutes of Health, Natural Sciences and Engineering Research …
Deep generalization of structured low-rank algorithms (Deep-SLR)
A Pramanik, HK Aggarwal, M Jacob
IEEE transactions on medical imaging 39 (12), 4186-4197, 2020
Zahteve: US National Institutes of Health
Structured low-rank algorithms: Theory, magnetic resonance applications, and links to machine learning
M Jacob, MP Mani, JC Ye
IEEE Signal Processing Magazine 37 (1), 54-68, 2020
Zahteve: US National Institutes of Health
Podatke o objavi in financiranju samodejno določi računalniški program