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ORCIDLichi Zhang
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2020 – today
- 2021
[j13]Ming Zhou, Lichi Zhang, Xiaping Du, Xi Ouyang, Xin Zhang, Qijia Shen, Dong Luo, Xiangshan Fan, Qian Wang:
Hierarchical pathology screening for cervical abnormality. Comput. Medical Imaging Graph. 89: 101892 (2021)- [j12]Yang Qu
, Xiaomin Li, Zhennan Yan, Liang Zhao, Lichi Zhang, Chang Liu, Shuaining Xie, Kang Li, Dimitris N. Metaxas, Wen Wu, Yongqiang Hao, Kerong Dai, Shaoting Zhang, Xiaofeng Tao, Songtao Ai:
Surgical planning of pelvic tumor using multi-view CNN with relation-context representation learning. Medical Image Anal. 69: 101954 (2021) - 2020
- [j11]Dongming Wei, Lichi Zhang, Zhengwang Wu, Xiaohuan Cao, Gang Li, Dinggang Shen, Qian Wang:
Deep morphological simplification network (MS-Net) for guided registration of brain magnetic resonance images. Pattern Recognit. 100: 107171 (2020) - [j10]Xuhua Ren, Sahar Ahmad, Lichi Zhang, Lei Xiang, Dong Nie, Fan Yang, Qian Wang, Dinggang Shen:
Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation. IEEE Trans. Image Process. 29: 7497-7510 (2020) - [j9]Jun Wang, Lichi Zhang, Qian Wang, Lei Chen, Jun Shi, Xiaobo Chen, Zuoyong Li, Dinggang Shen:
Multi-Class ASD Classification Based on Functional Connectivity and Functional Correlation Tensor via Multi-Source Domain Adaptation and Multi-View Sparse Representation. IEEE Trans. Medical Imaging 39(10): 3137-3147 (2020) - [c25]Xuhua Ren, Jiayu Huo, Kai Xuan, Dongming Wei, Lichi Zhang, Qian Wang:
Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention. ISBI 2020: 385-389 - [c24]Tong Li, Zhuochen Wang, Yanbo Chen, Lichi Zhang, Yaozong Gao, Feng Shi, Dahong Qian, Qian Wang, Dinggang Shen:
Two-Stage Mapping-Segmentation Framework for Delineating COVID-19 Infections from Heterogeneous CT Images. TIA@MICCAI 2020: 3-13 - [c23]Jianyuan Zhang, Feng Shi, Lei Chen, Zhong Xue, Lichi Zhang, Dahong Qian:
Ischemic Stroke Segmentation from CT Perfusion Scans Using Cluster-Representation Learning. MLCN/RNO-AI@MICCAI 2020: 67-76 - [c22]Tong Li, Kai Xuan, Zhong Xue, Lei Chen, Lichi Zhang, Dahong Qian:
Cross-View Label Transfer in Knee MR Segmentation Using Iterative Context Learning. DART/DCL@MICCAI 2020: 96-105 - [c21]Jiayu Huo, Liping Si, Xi Ouyang, Kai Xuan, Weiwu Yao, Zhong Xue, Qian Wang, Dinggang Shen, Lichi Zhang:
A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-Consistency. PRIME@MICCAI 2020: 200-209 - [c20]Ming Zhou, Lichi Zhang, Xiaping Du, Xi Ouyang, Xin Zhang, Qijia Shen, Qian Wang:
Hierarchical and Robust Pathology Image Reading for High-Throughput Cervical Abnormality Screening. MLMI@MICCAI 2020: 414-422 - [c19]Linlin Yao, Pengbo Jiang, Zhong Xue, Yiqiang Zhan, Dijia Wu, Lichi Zhang, Qian Wang, Feng Shi, Dinggang Shen:
Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling. MLMI@MICCAI 2020: 474-483 - [c18]Lixin Cui, Lichi Zhang, Lu Bai, Yue Wang, Edwin R. Hancock:
Alzheimer's Brain Network Analysis Using Sparse Learning Feature Selection. S+SSPR 2020: 184-194 - [i4]Xuhua Ren, Jiayu Huo, Kai Xuan, Dongming Wei, Lichi Zhang, Qian Wang:
Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention. CoRR abs/2001.03857 (2020) - [i3]Jiayu Huo, Liping Si, Xi Ouyang, Kai Xuan, Weiwu Yao, Zhong Xue, Lichi Zhang, Qian Wang:
A Self-ensembling Framework for Semi-supervised Knee Osteoarthritis Localization and Classification with Dual-Consistency. CoRR abs/2005.09212 (2020)
2010 – 2019
- 2019
- [j8]Xu Chen, Yiqun Hu, Zhihong Zhang, Beizhan Wang, Lichi Zhang, Fei Shi, Xinjian Chen, Xiaoyi Jiang:
A graph-based approach to automated EUS image layer segmentation and abnormal region detection. Neurocomputing 336: 79-91 (2019) - [j7]Longwei Fang, Lichi Zhang, Dong Nie, Xiaohuan Cao, Islem Rekik, Seong-Whan Lee, Huiguang He, Dinggang Shen:
Automatic brain labeling via multi-atlas guided fully convolutional networks. Medical Image Anal. 51: 157-168 (2019) - [j6]Jianjia Wang, Jiayu Huo, Lichi Zhang:
Thermodynamic edge entropy in Alzheimer's disease. Pattern Recognit. Lett. 125: 570-575 (2019) - [c17]Xuhua Ren, Lichi Zhang, Dongming Wei, Dinggang Shen, Qian Wang:
Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization. MLMI@MICCAI 2019: 1-8 - [c16]Yining Jiao, Oihane Mayo Ijurra, Lichi Zhang, Dinggang Shen, Qian Wang:
cuRadiomics: A GPU-Based Radiomics Feature Extraction Toolkit. RNO-AI@MICCAI 2019: 44-52 - [c15]Bin Xiao, Xiaoqing Cheng, Qingfeng Li, Qian Wang, Lichi Zhang, Dongming Wei, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Guangming Lu, Feng Shi:
Weakly Supervised Confidence Learning for Brain MR Image Dense Parcellation. MLMI@MICCAI 2019: 409-416 - [i2]Xuhua Ren, Lichi Zhang, Sahar Ahmad, Dong Nie, Fan Yang, Lei Xiang, Qian Wang, Dinggang Shen:
Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation. CoRR abs/1905.08720 (2019) - [i1]Xuhua Ren, Lichi Zhang, Qian Wang, Dinggang Shen:
Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization. CoRR abs/1906.10400 (2019) - 2018
- [j5]Luyan Liu, Qian Wang, Ehsan Adeli, Lichi Zhang, Han Zhang, Dinggang Shen:
Exploring diagnosis and imaging biomarkers of Parkinson's disease via iterative canonical correlation analysis based feature selection. Comput. Medical Imaging Graph. 67: 21-29 (2018) - [j4]Lei Xiang, Qian Wang, Dong Nie, Lichi Zhang, Xiyao Jin, Yu Qiao, Dinggang Shen:
Deep embedding convolutional neural network for synthesizing CT image from T1-Weighted MR image. Medical Image Anal. 47: 31-44 (2018) - [c14]Lichi Zhang, Han Zhang, Islem Rekik, Yaozong Gao, Qian Wang, Dinggang Shen:
Malignant Brain Tumor Classification Using the Random Forest Method. S+SSPR 2018: 14-21 - 2017
- [j3]Lichi Zhang, Qian Wang, Yaozong Gao, Hongxin Li, Guorong Wu, Dinggang Shen:
Concatenated spatially-localized random forests for hippocampus labeling in adult and infant MR brain images. Neurocomputing 229: 3-12 (2017) - [j2]Jinpeng Zhang, Lichi Zhang, Lei Xiang, Yeqin Shao, Guorong Wu, Xiaodong Zhou, Dinggang Shen, Qian Wang:
Brain atlas fusion from high-thickness diagnostic magnetic resonance images by learning-based super-resolution. Pattern Recognit. 63: 531-541 (2017) - [c13]Longwei Fang, Lichi Zhang, Dong Nie, Xiaohuan Cao, Khosro Bahrami, Huiguang He, Dinggang Shen:
Brain Image Labeling Using Multi-atlas Guided 3D Fully Convolutional Networks. Patch-MI@MICCAI 2017: 12-19 - [c12]Lichi Zhang, Han Zhang, Xiaobo Chen, Qian Wang, Pew-Thian Yap, Dinggang Shen:
Learning-Based Estimation of Functional Correlation Tensors in White Matter for Early Diagnosis of Mild Cognitive Impairment. Patch-MI@MICCAI 2017: 65-73 - [c11]Yujia Zhou, Pew-Thian Yap, Han Zhang, Lichi Zhang, Qianjin Feng, Dinggang Shen:
Improving Functional MRI Registration Using Whole-Brain Functional Correlation Tensors. MICCAI (1) 2017: 416-423 - 2016
- [c10]Luyan Liu, Qian Wang, Ehsan Adeli, Lichi Zhang, Han Zhang, Dinggang Shen:
Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson's Disease. MICCAI (2) 2016: 1-8 - 2015
- [c9]Qian Wang, Guorong Wu, Minjeong Kim, Lichi Zhang, Dinggang Shen:
Interactive Registration and Segmentation for Multi-Atlas-Based Labeling of Brain MR Image. CCCV (1) 2015: 240-248 - [c8]Lichi Zhang, Qian Wang, Yaozong Gao, Guorong Wu, Dinggang Shen:
Automatic Hippocampus Labeling Using the Hierarchy of Sub-region Random Forests. Patch-MI@MICCAI 2015: 19-27 - [c7]Qin Liu, Qian Wang, Lichi Zhang, Yaozong Gao, Dinggang Shen:
Multi-atlas Context Forests for Knee MR Image Segmentation. MLMI 2015: 186-193 - 2014
- [c6]Lichi Zhang, Qian Wang, Yaozong Gao, Guorong Wu, Dinggang Shen:
Learning of Atlas Forest Hierarchy for Automatic Labeling of MR Brain Images. MLMI 2014: 323-330 - 2013
- [j1]Lichi Zhang, Edwin R. Hancock:
Robust estimation of shape and polarisation using blind source separation. Pattern Recognit. Lett. 34(8): 856-862 (2013) - 2012
- [c5]Lichi Zhang, Edwin R. Hancock:
Simultaneous reflectance estimation and surface shape recovery using polarisation. ICPR 2012: 1876-1879 - [c4]Lichi Zhang, Edwin R. Hancock:
A comprehensive polarisation model for surface orientation recovery. ICPR 2012: 3791-3794 - [c3]Lichi Zhang, Edwin R. Hancock, Jing Wu:
Estimating Surface Characteristics and Extracting Features from Polarisation. SSPR/SPR 2012: 400-408 - 2011
- [c2]Lichi Zhang, Edwin R. Hancock:
Robust Shape and Polarisation Estimation Using Blind Source Separation. CAIP (1) 2011: 178-185 - [c1]Lichi Zhang, Edwin R. Hancock, Gary A. Atkinson:
Reflection Component Separation Using Statistical Analysis and Polarisation. IbPRIA 2011: 476-483
2000 – 2009
- 2008
- [b1]Lichi Zhang:
Shape and reflectance estimation from dielectric materials using statistical analysis and polarisation. University of York, UK, 2008
Coauthor Index
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