Lichi Zhang
Lichi Zhang
School of Biomedical Engineering, Shanghai Jiao Tong University
Verified email at sjtu.edu.cn - Homepage
Title
Cited by
Cited by
Year
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
2332018
Extraction of dynamic functional connectivity from brain grey matter and white matter for MCI classification
X Chen, H Zhang, L Zhang, C Shen, SW Lee, D Shen
Human brain mapping 38 (10), 5019-5034, 2017
792017
Deep embedding convolutional neural network for synthesizing CT image from T1-Weighted MR image
L Xiang, Q Wang, D Nie, L Zhang, X Jin, Y Qiao, D Shen
Medical image analysis 47, 31-44, 2018
562018
Automatic labeling of MR brain images by hierarchical learning of atlas forests
L Zhang, Q Wang, Y Gao, G Wu, D Shen
Medical physics 43 (3), 1175-1186, 2016
242016
Concatenated spatially-localized random forests for hippocampus labeling in adult and infant MR brain images
L Zhang, Q Wang, Y Gao, H Li, G Wu, D Shen
Neurocomputing 229, 3-12, 2017
212017
Learning-based structurally-guided construction of resting-state functional correlation tensors
L Zhang, H Zhang, X Chen, Q Wang, PT Yap, D Shen
Magnetic resonance imaging 43, 110-121, 2017
152017
Brain atlas fusion from high-thickness diagnostic magnetic resonance images by learning-based super-resolution
J Zhang, L Zhang, L Xiang, Y Shao, G Wu, X Zhou, D Shen, Q Wang
Pattern recognition 63, 531-541, 2017
152017
Brain image labeling using multi-atlas guided 3D fully convolutional networks
L Fang, L Zhang, D Nie, X Cao, K Bahrami, H He, D Shen
International Workshop on Patch-based Techniques in Medical Imaging, 12-19, 2017
92017
Automatic Brain Labeling via Multi-Atlas Guided Fully Convolutional Networks
L Fang, L Zhang, D Nie, X Cao, I Rekik, SW Lee, H He, D Shen
Medical Image Analysis, 2018
72018
Learning of atlas forest hierarchy for automatic labeling of MR brain images
L Zhang, Q Wang, Y Gao, G Wu, D Shen
International Workshop on Machine Learning in Medical Imaging, 323-330, 2014
62014
Reflection component separation using statistical analysis and polarisation
L Zhang, ER Hancock, GA Atkinson
Iberian Conference on Pattern Recognition and Image Analysis, 476-483, 2011
62011
Multi-atlas context forests for knee MR image segmentation
Q Liu, Q Wang, L Zhang, Y Gao, D Shen
International Workshop on Machine Learning in Medical Imaging, 186-193, 2015
52015
Robust estimation of shape and polarisation using blind source separation
L Zhang, ER Hancock
Pattern Recognition Letters 34 (8), 856-862, 2013
52013
Exploring diagnosis and imaging biomarkers of Parkinson’s disease via iterative canonical correlation analysis based feature selection
L Liu, Q Wang, E Adeli, L Zhang, H Zhang, D Shen
Computerized Medical Imaging and Graphics 67, 21-29, 2018
42018
Functional MRI registration with tissue‐specific patch‐based functional correlation tensors
Y Zhou, H Zhang, L Zhang, X Cao, R Yang, Q Feng, PT Yap, D Shen
Human brain mapping 39 (6), 2303-2316, 2018
42018
Feature selection based on iterative canonical correlation analysis for automatic diagnosis of Parkinson’s disease
L Liu, Q Wang, E Adeli, L Zhang, H Zhang, D Shen
International Conference on Medical Image Computing and Computer-Assisted …, 2016
42016
A comprehensive polarisation model for surface orientation recovery
L Zhang, ER Hancock
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
42012
Resting-state network complexity and magnitude changes in neonates with severe hypoxic ischemic encephalopathy
HX Li, M Yu, AB Zheng, QF Zhang, GW Hua, WJ Tu, LC Zhang
Neural regeneration research 14 (4), 642, 2019
32019
Feature‐shared adaptive‐boost deep learning for invasiveness classification of pulmonary subsolid nodules in CT images
J Wang, X Chen, H Lu, L Zhang, J Pan, Y Bao, J Su, D Qian
Medical Physics 47 (4), 1738-1749, 2020
22020
Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches
T Kurc, S Bakas, X Ren, A Bagari, A Momeni, Y Huang, L Zhang, A Kumar, ...
Frontiers in Neuroscience 14, 2020
22020
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