| 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 | 278 | 2019 |
| Shannon-theoretic limits on noisy compressive sampling M Akçakaya, V Tarokh IEEE Transactions on Information Theory 56 (1), 492-504, 2009 | 208 | 2009 |
| 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 | 195* | 2020 |
| 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 | 178 | 2014 |
| 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 | 146 | 2011 |
| 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 | 144 | 2017 |
| 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 | 133 | 2020 |
| A frame construction and a universal distortion bound for sparse representations M Akçakaya, V Tarokh IEEE Transactions on Signal Processing 56 (6), 2443-2450, 2008 | 119 | 2008 |
| 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 | 103 | 2015 |
| 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 | 92 | 2012 |
| 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 | 87 | 2013 |
| 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 | 85 | 2014 |
| Compressed sensing with wavelet domain dependencies for coronary MRI: a retrospective study M Akçakaya, S Nam, P Hu, MH Moghari, LH Ngo, V Tarokh, WJ Manning, ... IEEE Transactions on Medical Imaging 30 (5), 1090-1099, 2010 | 75 | 2010 |
| 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 | 66 | 2016 |
| 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 | 64 | 2020 |
| 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 | 64 | 2015 |
| 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 | 61* | 2020 |
| Accelerated aortic flow assessment with compressed sensing with and without use of the sparsity of the complex difference image Y Kwak, S Nam, M Akçakaya, TA Basha, B Goddu, WJ Manning, V Tarokh, ... Magnetic Resonance in Medicine 70 (3), 851-858, 2013 | 60 | 2013 |
| Clinical performance of high‐resolution late gadolinium enhancement imaging with compressed sensing TA Basha, M Akcakaya, C Liew, CW Tsao, FN Delling, G Addae, L Ngo, ... Journal of Magnetic Resonance Imaging 46 (6), 1829-1838, 2017 | 54 | 2017 |
| On the selection of sampling points for myocardial T1 mapping M Akçakaya, S Weingärtner, S Roujol, R Nezafat Magnetic resonance in medicine 73 (5), 1741-1753, 2015 | 49 | 2015 |
Tamer BashaBIDMC and Harvard Medical SchoolVerified email at bidmc.harvard.edu
