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Leslie Ying
Leslie Ying
Professor of Biomedical Engineering & Electrical Engineering, University at Buffalo
Verified email at buffalo.edu
Title
Cited by
Cited by
Year
Accelerating magnetic resonance imaging via deep learning
S Wang, Z Su, L Ying, X Peng, S Zhu, F Liang, D Feng, D Liang
2016 IEEE 13th international symposium on biomedical imaging (ISBI), 514-517, 2016
6102016
Accelerating SENSE using compressed sensing
D Liang, B Liu, J Wang, L Ying
Magnetic Resonance in Medicine: An Official Journal of the International …, 2009
4752009
Joint image reconstruction and sensitivity estimation in SENSE (JSENSE)
L Ying, J Sheng
Magnetic Resonance in Medicine: An Official Journal of the International …, 2007
2522007
Deep magnetic resonance image reconstruction: Inverse problems meet neural networks
D Liang, J Cheng, Z Ke, L Ying
IEEE Signal Processing Magazine 37 (1), 141-151, 2020
153*2020
Compressed sensing dynamic cardiac cine MRI using learned spatiotemporal dictionary
Y Wang, L Ying
IEEE transactions on Biomedical Engineering 61 (4), 1109-1120, 2013
132*2013
Regularized sensitivity encoding (SENSE) reconstruction using Bregman iterations
B Liu, K King, M Steckner, J Xie, J Sheng, L Ying
Magnetic Resonance in Medicine: An Official Journal of the International …, 2009
1212009
kt ISD: Dynamic cardiac MR imaging using compressed sensing with iterative support detection
D Liang, EVR DiBella, RR Chen, L Ying
Magnetic resonance in medicine 68 (1), 41-53, 2012
1122012
Adaptive dictionary learning in sparse gradient domain for image recovery
Q Liu, S Wang, L Ying, X Peng, Y Zhu, D Liang
IEEE Transactions on Image Processing 22 (12), 4652-4663, 2013
1042013
Nonlinear GRAPPA: A kernel approach to parallel MRI reconstruction
Y Chang, D Liang, L Ying
Magnetic Resonance in Medicine 68 (3), 730-740, 2012
1012012
Sensitivity encoding reconstruction with nonlocal total variation regularization
D Liang, H Wang, Y Chang, L Ying
Magnetic resonance in medicine 65 (5), 1384-1392, 2011
1002011
On Tikhonov regularization for image reconstruction in parallel MRI
L Ying, D Xu, ZP Liang
The 26th Annual International Conference of the IEEE Engineering in Medicine …, 2004
982004
DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution
S Wang, H Cheng, L Ying, T Xiao, Z Ke, H Zheng, D Liang
Magnetic Resonance Imaging 68, 136-147, 2020
912020
SparseSENSE: application of compressed sensing in parallel MRI
B Liu, YM Zou, L Ying
2008 International Conference on Information Technology and Applications in …, 2008
892008
Compressed-sensing photoacoustic computed tomography in vivo with partially known support
J Meng, LV Wang, L Ying, D Liang, L Song
Optics Express 20 (15), 16510-16523, 2012
822012
Parallel MRI using phased array coils
L Ying, ZP Liang
IEEE Signal Processing Magazine 27 (4), 90-98, 2010
792010
SparseSENSE: randomly-sampled parallel imaging using compressed sensing
B Liu, FM Sebert, Y Zou, L Ying
In: Proceedings of the 16th Annual Meeting of ISMRM, 2008
732008
Phase unwrapping
L Ying
Wiley Encyclopedia of Biomedical Engineering, 2006
732006
Toeplitz block matrices in compressed sensing and their applications in imaging
F Sebert, YM Zou, L Ying
2008 International Conference on Information Technology and Applications in …, 2008
702008
Unwrapping of MR phase images using a Markov random field model
L Ying, ZP Liang, DC Munson, R Koetter, BJ Frey
IEEE Transactions on Medical Imaging 25 (1), 128-136, 2005
682005
DIMENSION: dynamic MR imaging with both k‐space and spatial prior knowledge obtained via multi‐supervised network training
S Wang, Z Ke, H Cheng, S Jia, L Ying, H Zheng, D Liang
NMR in Biomedicine 35 (4), e4131, 2022
672022
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