| Submillimeter MR fingerprinting using deep learning–based tissue quantification Z Fang, Y Chen, SC Hung, X Zhang, W Lin, D Shen Magnetic resonance in medicine 84 (2), 579-591, 2020 | 32 | 2020 |
| A realistic framework for investigating decision making in the brain with high spatiotemporal resolution using simultaneous EEG/fMRI and joint ICA SP Kyathanahally, A Franco-Watkins, X Zhang, VD Calhoun, ... IEEE journal of biomedical and health informatics 21 (3), 814-825, 2016 | 17 | 2016 |
| Updates on compositional MRI mapping of the cartilage: emerging techniques and applications MVW Zibetti, RG Menon, HL de Moura, X Zhang, R Kijowski, RR Regatte Journal of Magnetic Resonance Imaging 58 (1), 44-60, 2023 | 15 | 2023 |
| Mitral annular kinetics, left atrial, and left ventricular diastolic function post mitral valve repair in degenerative mitral regurgitation CG Schiros, MI Ahmed, DC McGiffin, X Zhang, SG Lloyd, I Aban, ... Frontiers in cardiovascular medicine 2, 31, 2015 | 14 | 2015 |
| Emerging trends in fast MRI using deep-learning reconstruction on undersampled k-space data: a systematic review D Singh, A Monga, HL de Moura, X Zhang, MVW Zibetti, RR Regatte Bioengineering 10 (9), 1012, 2023 | 13 | 2023 |
| Reduced left atrial emptying fraction and chymase activation in pathophysiology of primary mitral regurgitation B Butts, MI Ahmed, NS Bajaj, P Cox Powell, B Pat, S Litovsky, H Gupta, ... Basic to Translational Science 5 (2), 109-122, 2020 | 13 | 2020 |
| K2S challenge: From undersampled K-space to automatic segmentation AA Tolpadi, U Bharadwaj, KT Gao, R Bhattacharjee, FG Gassert, ... Bioengineering 10 (2), 267, 2023 | 12 | 2023 |
| Cramér–Rao bound‐informed training of neural networks for quantitative MRI X Zhang, Q Duchemin, K Liu*, C Gultekin, S Flassbeck, ... Magnetic resonance in medicine 88 (1), 436-448, 2022 | 11 | 2022 |
| Rapid quantitative magnetization transfer imaging: Utilizing the hybrid state and the generalized Bloch model J Assländer, C Gultekin, A Mao, X Zhang, Q Duchemin, K Liu, ... Magnetic resonance in medicine 91 (4), 1478-1497, 2024 | 5 | 2024 |
| Emerging Trends in Magnetic Resonance Fingerprinting for Quantitative Biomedical Imaging Applications: A Review A Monga, D Singh, HL de Moura, X Zhang, MVW Zibetti, RR Regatte Bioengineering 11 (3), 236, 2024 | 2 | 2024 |
| Left Atrial Enlargement and Systolic Failure Measured By Cardiac MRI In Severe Isolated Mitral Regurgitation With Preserved Left Ventricular Ejection Fraction X Zhang, S Lloyd, H Gupta, N Salibi, J Davies, L Dell'Italia, T Denney ISMRM, 2017 | 2 | 2017 |
| Four Chamber Endocardial Surface Reconstruction from Cardiac MRI Data X Zhang, S Lloyd, H Gupta, J Davies, N Salibi, L Dell’Italia, T Denney ISMRM, 2017 | 2 | 2017 |
| Repeatability of Quantitative Knee Cartilage T1, T2, and T1ρ Mapping With 3D‐MRI Fingerprinting X Zhang, HL de Moura, A Monga, MVW Zibetti, R Kijowski, RR Regatte Journal of Magnetic Resonance Imaging, 2023 | 1 | 2023 |
| Mitral annular kinetics in mitral regurgitation X Zhang, CG Schiros, MI Ahmed, DS McGiffin, SG Lloyd, LJ Dell'Italia, ... Journal of Cardiovascular Magnetic Resonance 16, 1-2, 2014 | 1 | 2014 |
| Age and Gender‐Dependence of Single‐and Bi‐Exponential T1ρ MR Parameters in Knee Ligaments H Lise de Moura, R Kijowski, X Zhang, A Sharafi, MVW Zibetti, R Regatte Journal of Magnetic Resonance Imaging, 2023 | | 2023 |
| K2S Challenge: From Undersampled K-Space to Automatic Segmentation M Hein, AA Tolpadi, U Upadhyay Bharadwaj, KT Gao, R Bhattacharjee, ... AI in MRI: Frontiers and Applications 10 (2), 2023 | | 2023 |
| MRI contrast synthesis from low-rank coefficient images X Zhang, S Flassbeck, J Assländer ISMRM, 2022 | | 2022 |
| Myelin Water Imaging in the Hybrid State A Mao, S Flassbeck, C Gultekin, X Zhang, J Asslaender | | 2021 |
| Left Atrial Enlargement and Systolic Failure Is Related to Chymase Activation in Patients with Mitral Regurgitation and Preserved Left Ventricular Ejection Fraction B Butts, R Wong, PC Powell, S Litovsky, H Gupta, S Lloyd, T Denney, ... Journal of the American College of Cardiology 71 (11S), A1994-A1994, 2018 | | 2018 |
| MRI 7T RESONANCE SPECTROSCOPY (MRS) PREDICTS CARDIAC ENERGETIC RESERVES IN DOGS WITH PRECLINICAL MITRAL INSUFFICIENCY.: C10 R Dillon, T Denney, S Jung, R Winter, J Zhong, M Tillson, X Zhang, ... Journal of Veterinary Internal Medicine 30 (4), 2016 | | 2016 |
Thomas S Denney Jr.Professor of Electrical and Computer Engineering, Auburn University在 auburn.edu 的电子邮件经过验证
Thomas S Denney Jr.Professor of Electrical and Computer Engineering, Auburn University在 auburn.edu 的电子邮件经过验证