Mehmet Akcakaya
Cited by
Cited by
Scan‐specific robust artificial‐neural‐networks for k‐space interpolation (RAKI) reconstruction: database‐free deep learning for fast imaging
M Akšakaya, S Moeller, S Weingńrtner, K Uğurbil
Magnetic resonance in medicine 81 (1), 439-453, 2019
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
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 Akšakaya
Magnetic resonance in medicine 84 (6), 3172-3191, 2020
Shannon-theoretic limits on noisy compressive sampling
M Akšakaya, V Tarokh
IEEE Transactions on Information Theory 56 (1), 492-504, 2009
Combined saturation/inversion recovery sequences for improved evaluation of scar and diffuse fibrosis in patients with arrhythmia or heart rate variability
S Weingńrtner, M Akšakaya, T Basha, KV Kissinger, B Goddu, S Berg, ...
Magnetic resonance in medicine 71 (3), 1024-1034, 2014
Sparse phase retrieval via truncated amplitude flow
G Wang, L Zhang, GB Giannakis, M Akšakaya, J Chen
IEEE Transactions on Signal Processing 66 (2), 479-491, 2017
Low‐dimensional‐structure self‐learning and thresholding: regularization beyond compressed sensing for MRI reconstruction
M Akšakaya, TA Basha, B Goddu, LA Goepfert, KV Kissinger, V Tarokh, ...
Magnetic Resonance in Medicine 66 (3), 756-767, 2011
A frame construction and a universal distortion bound for sparse representations
M Akšakaya, V Tarokh
IEEE Transactions on Signal Processing 56 (6), 2443-2450, 2008
Free‐breathing multislice native myocardial T1 mapping using the slice‐interleaved T1 (STONE) sequence
S Weingńrtner, S Roujol, M Akšakaya, TA Basha, R Nezafat
Magnetic resonance in medicine 74 (1), 115-124, 2015
Accelerated late gadolinium enhancement cardiac MR imaging with isotropic spatial resolution using compressed sensing: initial experience
M Akšakaya, H Rayatzadeh, TA Basha, SN Hong, RH Chan, KV Kissinger, ...
Radiology 264 (3), 691-699, 2012
Dense recurrent neural networks for accelerated MRI: History-cognizant unrolling of optimization algorithms
SAH Hosseini, B Yaman, S Moeller, M Hong, M Akšakaya
IEEE Journal of Selected Topics in Signal Processing 14 (6), 1280-1291, 2020
Compressed sensing reconstruction for whole‐heart imaging with 3D radial trajectories: a graphics processing unit implementation
S Nam, M Akšakaya, T Basha, C Stehning, WJ Manning, V Tarokh, ...
Magnetic resonance in medicine 69 (1), 91-102, 2013
Accelerated isotropic sub‐millimeter whole‐heart coronary MRI: compressed sensing versus parallel imaging
M Akšakaya, TA Basha, RH Chan, WJ Manning, R Nezafat
Magnetic resonance in medicine 71 (2), 815-822, 2014
Joint myocardial T1 and T2 mapping using a combination of saturation recovery and T2‐preparation
M Akšakaya, S Weingńrtner, TA Basha, S Roujol, S Bellm, R Nezafat
Magnetic resonance in medicine 76 (3), 888-896, 2016
Lowering the thermal noise barrier in functional brain mapping with magnetic resonance imaging
L Vizioli, S Moeller, L Dowdle, M Akšakaya, F De Martino, E Yacoub, ...
Nature communications 12 (1), 5181, 2021
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
Self-supervised physics-based deep learning MRI reconstruction without fully-sampled data
B Yaman, SAH Hosseini, S Moeller, J Ellermann, K Uğurbil, M Akšakaya
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 921-925, 2020
Improved quantitative myocardial T2 mapping: Impact of the fitting model
M Akšakaya, TA Basha, S Weingńrtner, S Roujol, S Berg, R Nezafat
Magnetic resonance in medicine 74 (1), 93-105, 2015
Compressed sensing with wavelet domain dependencies for coronary MRI: a retrospective study
M Akšakaya, S Nam, P Hu, MH Moghari, LH Ngo, V Tarokh, WJ Manning, ...
IEEE Transactions on Medical Imaging 30 (5), 1090-1099, 2010
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
The system can't perform the operation now. Try again later.
Articles 1–20