Articoli con mandati relativi all'accesso pubblico - Mehmet AkcakayaUlteriori informazioni
Non disponibili pubblicamente: 3
SPARTA: Sparse phase retrieval via truncated amplitude flow
G Wang, GB Giannakis, J Chen, M Akçakaya
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
Mandati: US National Science Foundation
Motion-robust cardiac.
S Weingärtner, F Zimmer, GJ Metzger, K Uğurbil, PF Van de Moortele, ...
Magnetic Resonance in Medicine 78 (2), 2017
Mandati: US National Institutes of Health
Distortion-based achievability conditions for joint estimation of sparse signals and measurement parameters from undersampled acquisitions
M Akçakaya, V Tarokh
2013 IEEE International Symposium on Information Theory, 291-295, 2013
Mandati: US National Institutes of Health
Disponibili pubblicamente: 129
Scan‐specific robust artificial‐neural‐networks for k‐space interpolation (RAKI) reconstruction: database‐free deep learning for fast imaging
M Akçakaya, S Moeller, S Weingärtner, K Uğurbil
Magnetic resonance in medicine 81 (1), 439-453, 2019
Mandati: US National Science Foundation, US National Institutes of Health
Deep-learning methods for parallel magnetic resonance imaging reconstruction: A survey of the current approaches, trends, and issues
F Knoll, K Hammernik, C Zhang, S Moeller, T Pock, DK Sodickson, ...
IEEE signal processing magazine 37 (1), 128-140, 2020
Mandati: US National Science Foundation, US National Institutes of Health, Austrian …
Self‐supervised learning of physics‐guided reconstruction neural networks without fully sampled reference data
B Yaman, SAH Hosseini, S Moeller, J Ellermann, K Uğurbil, M Akçakaya
Magnetic resonance in medicine 84 (6), 3172-3191, 2020
Mandati: US National Science Foundation, US National Institutes of Health
Combined saturation/inversion recovery sequences for improved evaluation of scar and diffuse fibrosis in patients with arrhythmia or heart rate variability
S Weingärtner, M Akçakaya, T Basha, KV Kissinger, B Goddu, S Berg, ...
Magnetic resonance in medicine 71 (3), 1024-1034, 2014
Mandati: US National Institutes of Health
Sparse phase retrieval via truncated amplitude flow
G Wang, L Zhang, GB Giannakis, M Akçakaya, J Chen
IEEE Transactions on Signal Processing 66 (2), 479-491, 2017
Mandati: US National Science Foundation, National Natural Science Foundation of China
Low‐dimensional‐structure self‐learning and thresholding: regularization beyond compressed sensing for MRI reconstruction
M Akçakaya, TA Basha, B Goddu, LA Goepfert, KV Kissinger, V Tarokh, ...
Magnetic Resonance in Medicine 66 (3), 756-767, 2011
Mandati: US National Institutes of Health
Lowering the thermal noise barrier in functional brain mapping with magnetic resonance imaging
L Vizioli, S Moeller, L Dowdle, M Akçakaya, F De Martino, E Yacoub, ...
Nature communications 12 (1), 5181, 2021
Mandati: US National Science Foundation, US National Institutes of Health
NOise reduction with DIstribution Corrected (NORDIC) PCA in dMRI with complex-valued parameter-free locally low-rank processing
S Moeller, PK Pisharady, S Ramanna, C Lenglet, X Wu, L Dowdle, ...
Neuroimage 226, 117539, 2021
Mandati: US National Science Foundation, US National Institutes of Health
Free‐breathing multislice native myocardial T1 mapping using the slice‐interleaved T1 (STONE) sequence
S Weingärtner, S Roujol, M Akçakaya, TA Basha, R Nezafat
Magnetic resonance in medicine 74 (1), 115-124, 2015
Mandati: US National Institutes of Health
Dense recurrent neural networks for accelerated MRI: History-cognizant unrolling of optimization algorithms
SAH Hosseini, B Yaman, S Moeller, M Hong, M Akçakaya
IEEE Journal of Selected Topics in Signal Processing 14 (6), 1280-1291, 2020
Mandati: US National Science Foundation, US Department of Defense, US National …
Accelerated isotropic sub‐millimeter whole‐heart coronary MRI: compressed sensing versus parallel imaging
M Akçakaya, TA Basha, RH Chan, WJ Manning, R Nezafat
Magnetic resonance in medicine 71 (2), 815-822, 2014
Mandati: US National Institutes of Health
Accelerated late gadolinium enhancement cardiac MR imaging with isotropic spatial resolution using compressed sensing: initial experience
M Akçakaya, H Rayatzadeh, TA Basha, SN Hong, RH Chan, KV Kissinger, ...
Radiology 264 (3), 691-699, 2012
Mandati: US National Institutes of Health
Self-supervised physics-based deep learning MRI reconstruction without fully-sampled data
B Yaman, SAH Hosseini, S Moeller, J Ellermann, K Uğurbil, M Akçakaya
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 921-925, 2020
Mandati: US National Science Foundation, US National Institutes of Health
Compressed sensing reconstruction for whole‐heart imaging with 3D radial trajectories: a graphics processing unit implementation
S Nam, M Akçakaya, T Basha, C Stehning, WJ Manning, V Tarokh, ...
Magnetic resonance in medicine 69 (1), 91-102, 2013
Mandati: US National Institutes of Health
Improved quantitative myocardial T2 mapping: Impact of the fitting model
M Akçakaya, TA Basha, S Weingärtner, S Roujol, S Berg, R Nezafat
Magnetic resonance in medicine 74 (1), 93-105, 2015
Mandati: US National Institutes of Health
Joint myocardial T1 and T2 mapping using a combination of saturation recovery and T2‐preparation
M Akçakaya, S Weingärtner, TA Basha, S Roujol, S Bellm, R Nezafat
Magnetic resonance in medicine 76 (3), 888-896, 2016
Mandati: US National Institutes of Health
Assessment of the 2017 AHA/ACC/HRS guideline recommendations for implantable cardioverter-defibrillator implantation in cardiac sarcoidosis
F Kazmirczak, KHA Chen, S Adabag, L Von Wald, H Roukoz, DG Benditt, ...
Circulation: Arrhythmia and Electrophysiology 12 (9), e007488, 2019
Mandati: US National Institutes of Health
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