Lichi Zhang
Lichi Zhang
School of Biomedical Engineering, Shanghai Jiao Tong University
Verified email at - Homepage
Cited by
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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
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
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
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, 27, 2020
Multi-class ASD classification based on functional connectivity and functional correlation tensor via multi-source domain adaptation and multi-view sparse representation
J Wang, L Zhang, Q Wang, L Chen, J Shi, X Chen, Z Li, D Shen
IEEE transactions on medical imaging 39 (10), 3137-3147, 2020
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
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
Hippocampal shape and asymmetry analysis by cascaded convolutional neural networks for Alzheimer’s disease diagnosis
A Li, F Li, F Elahifasaee, M Liu, L Zhang, ...
Brain Imaging and Behavior, 1-10, 2021
Surgical planning of pelvic tumor using multi-view CNN with relation-context representation learning
Y Qu, X Li, Z Yan, L Zhao, L Zhang, C Liu, S Xie, K Li, D Metaxas, W Wu, ...
Medical Image Analysis, 101954, 2021
Task decomposition and synchronization for semantic biomedical image segmentation
X Ren, S Ahmad, L Zhang, L Xiang, D Nie, F Yang, Q Wang, D Shen
IEEE Transactions on Image Processing 29, 7497-7510, 2020
Multimodal MRI reconstruction assisted with spatial alignment network
K Xuan, L Xiang, X Huang, L Zhang, S Liao, D Shen, Q Wang
IEEE Transactions on Medical Imaging 41 (9), 2499-2509, 2022
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
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
Graph convolutional network based point cloud for head and neck vessel labeling
L Yao, P Jiang, Z Xue, Y Zhan, D Wu, L Zhang, Q Wang, F Shi, D Shen
Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020 …, 2020
Using radiomic features of lumbar spine CT images to differentiate osteoporosis from normal bone density
Z Xue, J Huo, X Sun, X Sun, S Ai, L Zhang, C Liu
BMC musculoskeletal disorders 23 (1), 1-9, 2022
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
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
Rcps: Rectified contrastive pseudo supervision for semi-supervised medical image segmentation
X Zhao, Z Qi, S Wang, Q Wang, X Wu, Y Mao, L Zhang
IEEE Journal of Biomedical and Health Informatics 28 (1), 251-261, 2024
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
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016
Robust brain magnetic resonance image segmentation for hydrocephalus patients: Hard and soft attention
X Ren, J Huo, K Xuan, D Wei, L Zhang, Q Wang
2020 IEEE 17th international symposium on biomedical imaging (ISBI), 385-389, 2020
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