Mengzhou Li
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CT super-resolution GAN constrained by the identical, residual, and cycle learning ensemble (GAN-CIRCLE)
C You, G Li, Y Zhang, X Zhang, H Shan, M Li, S Ju, Z Zhao, Z Zhang, ...
IEEE transactions on medical imaging 39 (1), 188-203, 2019
On interpretability of artificial neural networks: A survey
FL Fan, J Xiong, M Li, G Wang
IEEE Transactions on Radiation and Plasma Medical Sciences 5 (6), 741-760, 2021
Noise suppression with similarity-based self-supervised deep learning
C Niu, M Li, F Fan, W Wu, X Guo, Q Lyu, G Wang
IEEE Transactions on Medical Imaging, 2022
Optimized collusion prevention for online exams during social distancing
M Li, L Luo, S Sikdar, NI Nizam, S Gao, H Shan, M Kruger, U Kruger, ...
npj Science of Learning 6 (1), 5, 2021
Soft autoencoder and its wavelet adaptation interpretation
F Fan, M Li, Y Teng, G Wang
IEEE Transactions on Computational Imaging 6, 1245-1257, 2020
Measuring profile of large hybrid aspherical diffractive infrared elements using confocal profilometer
J Liu, Y Wang, K Gu, X You, M Zhang, M Li, W Wang, J Tan
Measurement Science and Technology 27 (12), 125011, 2016
On expressivity and trainability of quadratic networks
FL Fan, M Li, F Wang, R Lai, G Wang
IEEE Transactions on Neural Networks and Learning Systems, 2023
Low-Dimensional Manifold-Constrained Disentanglement Network for Metal Artifact Reduction
C Niu, W Cong, FL Fan, H Shan, M Li, J Liang, G Wang
IEEE Transactions on Radiation and Plasma Medical Sciences 6 (6), 656-666, 2021
Scheme for cheating prevention in online exams during social distancing
NI Nizam, S Gao, M Li, H Mohamed, G Wang
Preprints, 2020
X-ray photon-counting data correction through deep learning
M Li, DS Rundle, G Wang
arXiv preprint arXiv:2007.03119, 2020
Decoupling criterion based on limited energy loss condition for groove measurement using optical scanning microscopes
J Liu, M Li, Q Li, J Tan
Measurement Science and Technology 27 (12), 125014, 2016
Elliptical mirror-based TIRF microscopy with shadowless illumination and adjustable penetration depth
J Liu, Q Li, M Li, S Gao, C Liu, L Zou, J Tan
Optics Letters 42 (13), 2587-2590, 2017
Clinical micro-CT empowered by interior tomography, robotic scanning, and deep learning
M Li, Z Fang, W Cong, C Niu, W Wu, J Uher, J Bennett, JT Rubinstein, ...
IEEE Access 8, 229018-229032, 2020
Deep adversarial network for super stimulated emission depletion imaging
M Li, H Shan, S Pryshchep, MM Lopez, G Wang
Journal of Nanophotonics 14 (1), 016009-016009, 2020
Self-supervised dual-domain network for low-dose CT denoising
C Niu, M Li, X Guo, G Wang
Developments in X-Ray Tomography XIV 12242, 2022
Multiple window learning for CT metal artifact reduction
C Niu, M Li, G Wang
Developments in X-Ray Tomography XIII 11840, 161, 2021
3D measurement decoupling criterion in optical microscopy
L Jian, G Kang, L Mengzhou, T Jiubin
Infrared and Laser Engineering 46 (3), 0302001, 2017
Motion correction via locally linear embedding for helical photon-counting CT
M Li, C Lowe, A Butler, P Butler, G Wang
7th International Conference on Image Formation in X-Ray Computed Tomography …, 2022
Non-uniformity correction for MARS photon-counting detectors
M Getzin, M Li, DS Rundle, AP Butler, G Wang
15th International Meeting on Fully Three-Dimensional Image Reconstruction …, 2019
Motion correction for robot-based x-ray photon-counting CT at ultrahigh resolution
M Li, J Bohacova, J Uher, W Cong, J Rubinstein, G Wang
Developments in X-Ray Tomography XIV 12242, 172-181, 2022
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