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Jianhua Ma
Jianhua Ma
Southern Medical University; Xi'an Jiaotong University
Verified email at smu.edu.cn - Homepage
Title
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Cited by
Year
Adaptive-weighted total variation minimization for sparse data toward low-dose x-ray computed tomography image reconstruction
Y Liu, J Ma, Y Fan, Z Liang
Physics in Medicine & Biology 57 (23), 7923, 2012
3302012
Sparse-view x-ray CT reconstruction via total generalized variation regularization
S Niu, Y Gao, Z Bian, J Huang, W Chen, G Yu, Z Liang, J Ma
Physics in Medicine & Biology 59 (12), 2997, 2014
2742014
Low‐dose computed tomography image restoration using previous normal‐dose scan
J Ma, J Huang, Q Feng, H Zhang, H Lu, Z Liang, W Chen
Medical physics 38 (10), 5713-5731, 2011
2582011
Variance analysis of x‐ray CT sinograms in the presence of electronic noise background
J Ma, Z Liang, Y Fan, Y Liu, J Huang, W Chen, H Lu
Medical physics 39 (7Part1), 4051-4065, 2012
1922012
Iterative image reconstruction for cerebral perfusion CT using a pre-contrast scan induced edge-preserving prior
J Ma, H Zhang, Y Gao, J Huang, Z Liang, Q Feng, W Chen
Physics in Medicine & Biology 57 (22), 7519, 2012
1762012
Nonlocal prior Bayesian tomographic reconstruction
Y Chen, J Ma, Q Feng, L Luo, P Shi, W Chen
Journal of Mathematical Imaging and Vision 30, 133-146, 2008
1622008
Optimizing a parameterized plug-and-play ADMM for iterative low-dose CT reconstruction
J He, Y Yang, Y Wang, D Zeng, Z Bian, H Zhang, J Sun, Z Xu, J Ma
IEEE transactions on medical imaging 38 (2), 371-382, 2018
1462018
A simple low-dose x-ray CT simulation from high-dose scan
D Zeng, J Huang, Z Bian, S Niu, H Zhang, Q Feng, Z Liang, J Ma
IEEE transactions on nuclear science 62 (5), 2226-2233, 2015
1452015
Total variation-stokes strategy for sparse-view X-ray CT image reconstruction
Y Liu, Z Liang, J Ma, H Lu, K Wang, H Zhang, W Moore
IEEE transactions on medical imaging 33 (3), 749-763, 2013
1372013
Aberrant intra-and inter-network connectivity architectures in Alzheimer’s disease and mild cognitive impairment
P Wang, B Zhou, H Yao, Y Zhan, Z Zhang, Y Cui, K Xu, J Ma, L Wang, ...
Scientific reports 5 (1), 14824, 2015
1362015
Radon Inversion via Deep Learning
J He, Y Wang, J Ma
IEEE transactions on medical imaging, 2020
1272020
Radiomic signature of 18F fluorodeoxyglucose PET/CT for prediction of gastric cancer survival and chemotherapeutic benefits
Y Jiang, Q Yuan, W Lv, S Xi, W Huang, Z Sun, H Chen, L Zhao, W Liu, ...
Theranostics 8 (21), 5915, 2018
1222018
Discriminative feature representation to improve projection data inconsistency for low dose CT imaging
J Liu, J Ma, Y Zhang, Y Chen, J Yang, H Shu, L Luo, G Coatrieux, W Yang, ...
IEEE transactions on medical imaging 36 (12), 2499-2509, 2017
1132017
Robustness of Radiomic Features in [11C]Choline and [18F]FDG PET/CT Imaging of Nasopharyngeal Carcinoma: Impact of Segmentation and Discretization
L Lu, W Lv, J Jiang, J Ma, Q Feng, A Rahmim, W Chen
Molecular Imaging and Biology 18, 935-945, 2016
1132016
Applications of nonlocal means algorithm in low‐dose X‐ray CT image processing and reconstruction: a review
H Zhang, D Zeng, H Zhang, J Wang, Z Liang, J Ma
Medical physics 44 (3), 1168-1185, 2017
972017
Iterative reconstruction for x-ray computed tomography using prior-image induced nonlocal regularization
H Zhang, J Huang, J Ma, Z Bian, Q Feng, H Lu, Z Liang, W Chen
IEEE Transactions on Biomedical Engineering 61 (9), 2367-2378, 2013
912013
Statistical image reconstruction for low-dose CT using nonlocal means-based regularization
H Zhang, J Ma, J Wang, Y Liu, H Lu, Z Liang
Computerized Medical Imaging and Graphics 38 (6), 423-435, 2014
862014
Spectral CT image restoration via an average image-induced nonlocal means filter
D Zeng, J Huang, H Zhang, Z Bian, S Niu, Z Zhang, Q Feng, W Chen, ...
IEEE Transactions on Biomedical Engineering 63 (5), 1044-1057, 2015
812015
Iterative image reconstruction for sparse-view CT using normal-dose image induced total variation prior
J Huang, Y Zhang, J Ma, D Zeng, Z Bian, S Niu, Q Feng, Z Liang, W Chen
PloS one 8 (11), e79709, 2013
812013
Radiomics analysis of PET and CT components of PET/CT imaging integrated with clinical parameters: application to prognosis for nasopharyngeal carcinoma
W Lv, Q Yuan, Q Wang, J Ma, Q Feng, W Chen, A Rahmim, L Lu
Molecular imaging and biology 21, 954-964, 2019
792019
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