Bryan Clifford
Bryan Clifford
Collaborations Manager, Siemens Medical Solutions USA
Verified email at siemens-healthineers.com
Title
Cited by
Cited by
Year
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 (4), 1059-1070, 2016
682016
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
302017
Improved Low-Rank Filtering of Magnetic Resonance Spectroscopic Imaging Data Corrupted by Noise andField Inhomogeneity
Y Liu, C Ma, BA Clifford, F Lam, CL Johnson, ZP Liang
IEEE Transactions on Biomedical Engineering 63 (4), 841-849, 2015
252015
Fast dynamic electron paramagnetic resonance (EPR) oxygen imaging using low-rank tensors
AG Christodoulou, G Redler, B Clifford, ZP Liang, HJ Halpern, B Epel
Journal of Magnetic Resonance 270, 176-182, 2016
172016
Simultaneous QSM and metabolic imaging of the brain using SPICE
X Peng, F Lam, Y Li, B Clifford, ZP Liang
Magnetic resonance in medicine 79 (1), 13-21, 2018
142018
Ultrafast magnetic resonance spectroscopic imaging using SPICE with learned subspaces
F Lam, Y Li, R Guo, B Clifford, ZP Liang
Magnetic Resonance in Medicine 83 (2), 377-390, 2020
82020
A subspace approach to spectral quantification for MR spectroscopic imaging
Y Li, F Lam, B Clifford, ZP Liang
IEEE Transactions on Biomedical Engineering 64 (10), 2486-2489, 2017
72017
Macromolecule mapping of the brain using ultrashort‐TE acquisition and reference‐based metabolite removal
F Lam, Y Li, B Clifford, ZP Liang
Magnetic Resonance in Medicine 79 (5), 2460-2469, 2018
62018
Field-inhomogeneity-corrected low-rank filtering of magnetic resonance spectroscopic imaging data
Y Liu, C Ma, B Clifford, F Lam, CL Johnson, ZP Liang
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
52014
High-resolution dynamic 31P-MRSI using high-order partially separable functions
C Ma, F Lam, Q Ning, B Clifford, Q Liu, CL Johnson, Z Liang
Proc. Intl. Soc. Mag. Reson. Med 24 (3), 2016
42016
Camera-based ballot counter
G Nagy, B Clifford, A Berg, G Saunders, D Lopresti, EB Smith
2009 10th International Conference on Document Analysis and Recognition, 151-155, 2009
32009
High-Resolution Dynamic P-MR Spectroscopic Imaging for Mapping Mitochondrial Function
B Clifford, Y Gu, Y Liu, K Kim, S Huang, Y Li, F Lam, ZP Liang, X Yu
IEEE Transactions on Biomedical Engineering, 2020
22020
A subspace approach to spectral quantification
Y Li, F Lam, B Clifford, ZP Liang
Proc. Int. Soc. Magn. Reson. Med., Honolulu, HI, USA 871, 2017
12017
Rapid, high-resolution 3D 1H-MRSI of the brain based on FID acquisitions
M Sheikh, F Lam, C Ma, B Clifford, ZP Liang
Proceedings of the 24th Annual Meeting of ISMRM, Singapore, 2353, 2016
12016
Spectral quantification of MRSI data using spatiospectral constraints
Q Ning, C Ma, F Lam, B Clifford, ZP Liang
Available online8. University of Illinois, 2015
12015
Removal of nuisance signal from sparsely sampled 1H-MRSI data using physics-based spectral bases
Q Ning, C Ma, F Lam, B Clifford, ZP Liang
12015
Accelerated J‐resolved 1H‐MRSI with limited and sparse sampling of (‐space
L Tang, Y Zhao, Y Li, R Guo, B Clifford, G El Fakhri, C Ma, ZP Liang, J Luo
Magnetic Resonance in Medicine 85 (1), 30-41, 2021
2021
Quantification of creatine kinase reaction rate in mouse hindlimb using phosphorus‐31 magnetic resonance spectroscopic fingerprinting
K Kim, Y Gu, CY Wang, B Clifford, S Huang, ZP Liang, X Yu
NMR in Biomedicine, e4435, 2020
2020
Further development of magnetic resonance spectroscopic imaging using subspace-based models
B Clifford
University of Illinois at Urbana-Champaign, 2019
2019
Constrained MRSI reconstruction using water side information with a Kernel-based method
Y Li, F Lam, B Clifford, R Guo, X Peng, ZP Liang
Proc. Int. Soc. Magn. Reson. Med., 2018
2018
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Articles 1–20