| Accelerated High-Dimensional MR Imaging With Sparse Sampling Using Low-Rank Tensors J He, Q Liu, AG Christodoulou, C Ma, F Lam, ZP Liang IEEE transactions on medical imaging 35 (9), 2119-2129, 2016 | 73 | 2016 |
| High‐resolution 1H‐MRSI of the brain using SPICE: Data acquisition and image reconstruction F Lam, C Ma, B Clifford, CL Johnson, ZP Liang Magnetic resonance in medicine 76, 1059-1070, 2016 | 68 | 2016 |
| Joint design of spoke trajectories and RF pulses for parallel excitation C Ma, D Xu, KF King, ZP Liang Magnetic Resonance in Medicine 65 (4), 973-985, 2011 | 55 | 2011 |
| Removal of nuisance signals from limited and sparse 1H MRSI data using a union‐of‐subspaces model C Ma, F Lam, CL Johnson, ZP Liang Magnetic resonance in medicine 75 (2), 488-497, 2016 | 44 | 2016 |
| High-resolution 1H-MRSI of the brain using short-TE SPICE C Ma, F Lam, Q Ning, CL Johnson, ZP Liang Magnetic Resonance in Medicine 77, 467-479, 2017 | 37 | 2017 |
| High‐resolution dynamic 31P‐MRSI using a low‐rank tensor model C Ma, B Clifford, Y Liu, Y Gu, F Lam, X Yu, ZP Liang Magnetic Resonance in Medicine 78 (2), 419-428, 2017 | 30 | 2017 |
| Improved Low-Rank Filtering of Magnetic Resonance Spectroscopic Imaging Data Corrupted by Noise and B0 Field Inhomogeneity. Y Liu, C Ma, BA Clifford, F Lam, CL Johnson, ZP Liang IEEE Trans. Biomed. Engineering 63 (4), 841-849, 2016 | 26 | 2016 |
| Performance analysis of denoising with low-rank and sparsity constraints F Lam, C Ma, ZP Liang Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on, 1223-1226, 2013 | 11 | 2013 |
| Quantitative in vivo mapping of myocardial mitochondrial membrane potential NM Alpert, N Guehl, L Ptaszek, M Pelletier-Galarneau, J Ruskin, ... PloS one 13 (1), e0190968, 2018 | 10 | 2018 |
| Reduced field‐of‐view excitation using second‐order gradients and spatial‐spectral radiofrequency pulses C Ma, D Xu, KF King, ZP Liang Magnetic Resonance in Medicine 69 (2), 503-508, 2013 | 10 | 2013 |
| Spectral Quantification for High-Resolution MR Spectroscopic Imaging with Spatiospectral Constraints Q Ning, C Ma, F Lam, ZP Liang IEEE Transactions on Biomedical Engineering 64, 1178-1186, 2017 | 6 | 2017 |
| Improved image reconstruction for subspace-based spectroscopic imaging using non-quadratic regularization ZH Wu, F Lam, C Ma, ZP Liang Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual …, 2014 | 6 | 2014 |
| Spectral estimation for magnetic resonance spectroscopic imaging with spatial sparsity constraints Q Ning, C Ma, ZP Liang Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on, 1482-1485, 2015 | 5 | 2015 |
| Design of multidimensional Shinnar–Le Roux radiofrequency pulses C Ma, ZP Liang Magnetic Resonance in Medicine 73 (2), 633-645, 2015 | 5 | 2015 |
| Field-inhomogeneity-corrected low-rank filtering of magnetic resonance spectroscopic imaging data Y Liu, C Ma, B Clifford, F Lam, CL Johnson, ZP Liang Proceedings of the 36th Annual International Conference of the IEEE …, 2014 | 5 | 2014 |
| A new eddy-current compensation method in MRI C Ma, XH Jiang PIERS ONLINE 3, 2007 | 4 | 2007 |
| Perturbation analysis of the effects of B1+ errors on parallel excitation in MRI C Ma, D Xu, KF King, ZP Liang Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual …, 2009 | 3 | 2009 |
| Removal of Nuisance Signal from Sparsely Sampled 1H-MRSI Data Using Physics-based Spectral Bases Q Ning, C Ma, BC Fan Lam, ZP Liang | 2 | 2015 |
| Encoding and Decoding with Prior Knowledge: From SLIM to SPICE C Ma, F Lam, ZP Liang eMagRes 4, 535-542, 2015 | 2* | 2015 |
| Removal of nuisance lipid signals from limited k-space data in 1H MRSI of the brain C Ma, F Lam, CL Johnson, ZP Liang Proc of the International Symposium on Magnetic Resonance in Medicine, Italy …, 2014 | 2 | 2014 |
Fan LamUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
