Lichi Zhang

According to our database, Lichi Zhang authored at least 80 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

CSSNet: Cascaded spatial shift network for multi-organ segmentation.

Yeqin Shao, Kunyang Zhou, Lichi Zhang

Comput. Biol. Medicine, March, 2024

RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation.

Xiangyu Zhao, Zengxin Qi, Sheng Wang, Qian Wang, Xuehai Wu, Ying Mao, Lichi Zhang

IEEE J. Biomed. Health Informatics, January, 2024

Two-stage Cytopathological Image Synthesis for Augmenting Cervical Abnormality Screening.

Zhenrong Shen, Manman Fei, Xin Wang, Jiangdong Cai, Sheng Wang, Lichi Zhang, Qian Wang

CoRR, 2024

2023

Enhanced brain parcellation via abnormality inpainting for neuroimage-based consciousness evaluation of hydrocephalus patients by lumbar drainage.

Di Zang, Xiangyu Zhao, Yuanfang Qiao, Jiayu Huo, Xuehai Wu, Zhe Wang, Zeyu Xu, Ruizhe Zheng, Zengxin Qi, Ying Mao, Lichi Zhang

Brain Informatics, December, 2023

Changes of Functional Brain Network in Neonates with Different Degrees of Hypoxic-Ischemic Encephalopathy.

Yingying Wang, Yi Wang, Guowei Hua, Min Yu, Lu Lin, Lichi Zhang, Hongxin Li

Brain Connect., September, 2023

Position-aware and structure embedding networks for deep graph matching.

Dongdong Chen, Yuxing Dai, Lichi Zhang, Zhihong Zhang, Edwin R. Hancock

Pattern Recognit., April, 2023

Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution.

Zixu Zhuang, Liping Si, Sheng Wang, Kai Xuan, Xi Ouyang, Yiqiang Zhan, Zhong Xue, Lichi Zhang, Dinggang Shen, Weiwu Yao, Qian Wang

IEEE Trans. Medical Imaging, February, 2023

Uni-COAL: A Unified Framework for Cross-Modality Synthesis and Super-Resolution of MR Images.

Zhiyun Song, Zengxin Qi, Xin Wang, Xiangyu Zhao, Zhenrong Shen, Sheng Wang, Manman Fei, Zhe Wang, Di Zang, Dongdong Chen, Linlin Yao, Qian Wang, Xuehai Wu, Lichi Zhang

CoRR, 2023

AdLER: Adversarial Training with Label Error Rectification for One-Shot Medical Image Segmentation.

Xiangyu Zhao, Sheng Wang, Zhiyun Song, Zhenrong Shen, Linlin Yao, Haolei Yuan, Qian Wang, Lichi Zhang

CoRR, 2023

CT-based Subchondral Bone Microstructural Analysis in Knee Osteoarthritis via MR-Guided Distillation Learning.

Yuqi Hu, Xiangyu Zhao, Gaowei Qing, Kai Xie, Chenglei Liu, Lichi Zhang

CoRR, 2023

Learning Better Contrastive View from Radiologist's Gaze.

Sheng Wang, Zixu Zhuang, Xi Ouyang, Lichi Zhang, Zheren Li, Chong Ma, Tianming Liu, Dinggang Shen, Qian Wang

CoRR, 2023

Domain Generalization for Mammographic Image Analysis via Contrastive Learning.

Zheren Li, Zhiming Cui, Lichi Zhang, Sheng Wang, Chenjin Lei, Xi Ouyang, Dongdong Chen, Zixu Zhuang, Xiangyu Zhao, Yajia Gu, Zaiyi Liu, Chunling Liu, Dinggang Shen, Jie-Zhi Cheng

CoRR, 2023

RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation.

Xiangyu Zhao, Zengxin Qi, Sheng Wang, Qian Wang, Xuehai Wu, Ying Mao, Lichi Zhang

CoRR, 2023

PA-GM: Position-Aware Learning of Embedding Networks for Deep Graph Matching.

Dongdong Chen, Yuxing Dai, Lichi Zhang, Zhihong Zhang

CoRR, 2023

Arbitrary Reduction of MRI Inter-slice Spacing Using Hierarchical Feature Conditional Diffusion.

Xin Wang, Zhenrong Shen, Zhiyun Song, Sheng Wang, Mengjun Liu, Lichi Zhang, Kai Xuan, Qian Wang

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

CAS-Net: Cross-View Aligned Segmentation by Graph Representation of Knees.

Zixu Zhuang, Xin Wang, Sheng Wang, Zhenrong Shen, Xiangyu Zhao, Mengjun Liu, Zhong Xue, Dinggang Shen, Lichi Zhang, Qian Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

One-Shot Traumatic Brain Segmentation with Adversarial Training and Uncertainty Rectification.

Xiangyu Zhao, Zhenrong Shen, Dongdong Chen, Sheng Wang, Zixu Zhuang, Qian Wang, Lichi Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Alias-Free Co-modulated Network for Cross-Modality Synthesis and Super-Resolution of MR Images.

Zhiyun Song, Xin Wang, Xiangyu Zhao, Sheng Wang, Zhenrong Shen, Zixu Zhuang, Mengjun Liu, Qian Wang, Lichi Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

CellGAN: Conditional Cervical Cell Synthesis for Augmenting Cytopathological Image Classification.

Zhenrong Shen, Maosong Cao, Sheng Wang, Lichi Zhang, Qian Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Robust Cervical Abnormal Cell Detection via Distillation from Local-Scale Consistency Refinement.

Manman Fei, Xin Zhang, Maosong Cao, Zhenrong Shen, Xiangyu Zhao, Zhiyun Song, Qian Wang, Lichi Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

FE-STGNN: Spatio-Temporal Graph Neural Network with Functional and Effective Connectivity Fusion for MCI Diagnosis.

Dongdong Chen, Lichi Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Learnable Subdivision Graph Neural Network for Functional Brain Network Analysis and Interpretable Cognitive Disorder Diagnosis.

Dongdong Chen, Mengjun Liu, Zhenrong Shen, Xiangyu Zhao, Qian Wang, Lichi Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Detection-Free Pipeline for Cervical Cancer Screening of Whole Slide Images.

Maosong Cao, Manman Fei, Jiangdong Cai, Luyan Liu, Lichi Zhang, Qian Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Progressive Attention Guidance for Whole Slide Vulvovaginal Candidiasis Screening.

Jiangdong Cai, Honglin Xiong, Maosong Cao, Luyan Liu, Lichi Zhang, Qian Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Multimodal MRI Reconstruction Assisted With Spatial Alignment Network.

Kai Xuan, Lei Xiang, Xiaoqian Huang, Lichi Zhang, Shu Liao, Dinggang Shen, Qian Wang

IEEE Trans. Medical Imaging, 2022

Automatic Grading Assessments for Knee MRI Cartilage Defects via Self-ensembling Semi-supervised Learning with Dual-Consistency.

Jiayu Huo, Xi Ouyang, Liping Si, Kai Xuan, Sheng Wang, Weiwu Yao, Ying Liu, Jia Xu, Dahong Qian, Zhong Xue, Qian Wang, Dinggang Shen, Lichi Zhang

Medical Image Anal., 2022

TBI-GAN: An Adversarial Learning Approach for Data Synthesis on Traumatic Brain Segmentation.

Xiangyu Zhao, Di Zang, Sheng Wang, Zhenrong Shen, Kai Xuan, Zeyu Wei, Zhe Wang, Ruizhe Zheng, Xuehai Wu, Zheren Li, Qian Wang, Zengxin Qi, Lichi Zhang

CoRR, 2022

Arbitrary Reduction of MRI Slice Spacing Based on Local-Aware Implicit Representation.

Xin Wang, Kai Xuan, Sheng Wang, Honglin Xiong, Lichi Zhang, Qian Wang

CoRR, 2022

Local Graph Fusion of Multi-view MR Images for Knee Osteoarthritis Diagnosis.

Zixu Zhuang, Sheng Wang, Liping Si, Kai Xuan, Zhong Xue, Dinggang Shen, Lichi Zhang, Weiwu Yao, Qian Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Whole Slide Cervical Cancer Screening Using Graph Attention Network and Supervised Contrastive Learning.

Xin Zhang, Maosong Cao, Sheng Wang, Jiayin Sun, Xiangshan Fan, Qian Wang, Lichi Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Parallel Classification of Cells in Thinprep Cytology Test Image for Cervical Cancer Screening.

Maosong Cao, Xin Zhang, Xiangshan Fan, Lichi Zhang, Qian Wang

Proceedings of the Cancer Prevention Through Early Detection, 2022

2021

Reducing magnetic resonance image spacing by learning without ground-truth.

Kai Xuan, Liping Si, Lichi Zhang, Zhong Xue, Yining Jiao, Weiwu Yao, Dinggang Shen, Dijia Wu, Qian Wang

Pattern Recognit., 2021

iCOVID: interpretable deep learning framework for early recovery-time prediction of COVID-19 patients.

Jun Wang, Chen Liu, Jingwen Li, Cheng Yuan, Lichi Zhang, Cheng Jin, Jianwei Xu, Yaqi Wang, Yaofeng Wen, Hongbing Lu, Biao Li, Chang Chen, Xiangdong Li, Dinggang Shen, Dahong Qian, Jian Wang

npj Digit. Medicine, 2021

Surgical planning of pelvic tumor using multi-view CNN with relation-context representation learning.

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

Medical Image Anal., 2021

Multi-Modal MRI Reconstruction with Spatial Alignment Network.

Kai Xuan, Lei Xiang, Xiaoqian Huang, Lichi Zhang, Shu Liao, Dinggang Shen, Qian Wang

CoRR, 2021

Hierarchical pathology screening for cervical abnormality.

Ming Zhou, Lichi Zhang, Xiaping Du, Xi Ouyang, Xin Zhang, Qijia Shen, Dong Luo, Xiangshan Fan, Qian Wang

Comput. Medical Imaging Graph., 2021

3DMeT: 3D Medical Image Transformer for Knee Cartilage Defect Assessment.

Sheng Wang, Zixu Zhuang, Kai Xuan, Dahong Qian, Zhong Xue, Jia Xu, Ying Liu, Yiming Chai, Lichi Zhang, Qian Wang, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Anatomical Structure-Aware Pulmonary Nodule Detection via Parallel Multi-task RoI Head.

Haoyi Tao, Yuanfang Qiao, Lichi Zhang, Yiqiang Zhan, Zhong Xue, Qian Wang

Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

Robust Hydrocephalus Brain Segmentation via Globally and Locally Spatial Guidance.

Yuanfang Qiao, Haoyi Tao, Jiayu Huo, Wenjun Shen, Qian Wang, Lichi Zhang

Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021

False Positive Suppression in Cervical Cell Screening via Attention-Guided Semi-supervised Learning.

Xiaping Du, Jiayu Huo, Yuanfang Qiao, Qian Wang, Lichi Zhang

Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

C3D-UNET: A Comprehensive 3D Unet for Covid-19 Segmentation with Intact Encoding and Local Attention.

Yiming Bao, Hexiang Zeng, Chengfeng Zhou, Chen Liu, Lichi Zhang, Dahong Qian, Jun Wang, Hongbing Lu

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Multi-Class ASD Classification Based on Functional Connectivity and Functional Correlation Tensor via Multi-Source Domain Adaptation and Multi-View Sparse Representation.

Jun Wang, Lichi Zhang, Qian Wang, Lei Chen, Jun Shi, Xiaobo Chen, Zuoyong Li, Dinggang Shen

IEEE Trans. Medical Imaging, 2020

Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation.

Xuhua Ren, Sahar Ahmad, Lichi Zhang, Lei Xiang, Dong Nie, Fan Yang, Qian Wang, Dinggang Shen

IEEE Trans. Image Process., 2020

Deep morphological simplification network (MS-Net) for guided registration of brain magnetic resonance images.

Dongming Wei, Lichi Zhang, Zhengwang Wu, Xiaohuan Cao, Gang Li, Dinggang Shen, Qian Wang

Pattern Recognit., 2020

A Self-ensembling Framework for Semi-supervised Knee Osteoarthritis Localization and Classification with Dual-Consistency.

Jiayu Huo, Liping Si, Xi Ouyang, Kai Xuan, Weiwu Yao, Zhong Xue, Lichi Zhang, Qian Wang

CoRR, 2020

Alzheimer's Brain Network Analysis Using Sparse Learning Feature Selection.

Lixin Cui, Lichi Zhang, Lu Bai, Yue Wang, Edwin R. Hancock

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

Hierarchical and Robust Pathology Image Reading for High-Throughput Cervical Abnormality Screening.

Ming Zhou, Lichi Zhang, Xiaping Du, Xi Ouyang, Xin Zhang, Qijia Shen, Qian Wang

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Ischemic Stroke Segmentation from CT Perfusion Scans Using Cluster-Representation Learning.

Jianyuan Zhang, Feng Shi, Lei Chen, Zhong Xue, Lichi Zhang, Dahong Qian

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling.

Linlin Yao, Pengbo Jiang, Zhong Xue, Yiqiang Zhan, Dijia Wu, Lichi Zhang, Qian Wang, Feng Shi, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Cross-View Label Transfer in Knee MR Segmentation Using Iterative Context Learning.

Tong Li, Kai Xuan, Zhong Xue, Lei Chen, Lichi Zhang, Dahong Qian

Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

Two-Stage Mapping-Segmentation Framework for Delineating COVID-19 Infections from Heterogeneous CT Images.

Tong Li, Zhuochen Wang, Yanbo Chen, Lichi Zhang, Yaozong Gao, Feng Shi, Dahong Qian, Qian Wang, Dinggang Shen

Proceedings of the Thoracic Image Analysis - Second International Workshop, 2020

A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-Consistency.

Jiayu Huo, Liping Si, Xi Ouyang, Kai Xuan, Weiwu Yao, Zhong Xue, Qian Wang, Dinggang Shen, Lichi Zhang

Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020

Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention.

Xuhua Ren, Jiayu Huo, Kai Xuan, Dongming Wei, Lichi Zhang, Qian Wang

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Thermodynamic edge entropy in Alzheimer's disease.

Jianjia Wang, Jiayu Huo, Lichi Zhang

Pattern Recognit. Lett., 2019

Automatic brain labeling via multi-atlas guided fully convolutional networks.

Longwei Fang, Lichi Zhang, Dong Nie, Xiaohuan Cao, Islem Rekik, Seong-Whan Lee, Huiguang He, Dinggang Shen

Medical Image Anal., 2019

A graph-based approach to automated EUS image layer segmentation and abnormal region detection.

Xu Chen, Yiqun Hu, Zhihong Zhang, Beizhan Wang, Lichi Zhang, Fei Shi, Xinjian Chen, Xiaoyi Jiang

Neurocomputing, 2019

Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization.

Xuhua Ren, Lichi Zhang, Qian Wang, Dinggang Shen

CoRR, 2019

Weakly Supervised Confidence Learning for Brain MR Image Dense Parcellation.

Bin Xiao, Xiaoqing Cheng, Qingfeng Li, Qian Wang, Lichi Zhang, Dongming Wei, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Guangming Lu, Feng Shi

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization.

Xuhua Ren, Lichi Zhang, Dongming Wei, Dinggang Shen, Qian Wang

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

cuRadiomics: A GPU-Based Radiomics Feature Extraction Toolkit.

Yining Jiao, Oihane Mayo Ijurra, Lichi Zhang, Dinggang Shen, Qian Wang

Proceedings of the Radiomics and Radiogenomics in Neuro-oncology, 2019

2018

Deep embedding convolutional neural network for synthesizing CT image from T1-Weighted MR image.

Lei Xiang, Qian Wang, Dong Nie, Lichi Zhang, Xiyao Jin, Yu Qiao, Dinggang Shen

Medical Image Anal., 2018

Exploring diagnosis and imaging biomarkers of Parkinson's disease via iterative canonical correlation analysis based feature selection.

Luyan Liu, Qian Wang, Ehsan Adeli, Lichi Zhang, Han Zhang, Dinggang Shen

Comput. Medical Imaging Graph., 2018

Malignant Brain Tumor Classification Using the Random Forest Method.

Lichi Zhang, Han Zhang, Islem Rekik, Yaozong Gao, Qian Wang, Dinggang Shen

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

2017

Brain atlas fusion from high-thickness diagnostic magnetic resonance images by learning-based super-resolution.

Jinpeng Zhang, Lichi Zhang, Lei Xiang, Yeqin Shao, Guorong Wu, Xiaodong Zhou, Dinggang Shen, Qian Wang

Pattern Recognit., 2017

Concatenated spatially-localized random forests for hippocampus labeling in adult and infant MR brain images.

Lichi Zhang, Qian Wang, Yaozong Gao, Hongxin Li, Guorong Wu, Dinggang Shen

Neurocomputing, 2017

Improving Functional MRI Registration Using Whole-Brain Functional Correlation Tensors.

Yujia Zhou, Pew-Thian Yap, Han Zhang, Lichi Zhang, Qianjin Feng, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Learning-Based Estimation of Functional Correlation Tensors in White Matter for Early Diagnosis of Mild Cognitive Impairment.

Lichi Zhang, Han Zhang, Xiaobo Chen, Qian Wang, Pew-Thian Yap, Dinggang Shen

Proceedings of the Patch-Based Techniques in Medical Imaging, 2017

Brain Image Labeling Using Multi-atlas Guided 3D Fully Convolutional Networks.

Longwei Fang, Lichi Zhang, Dong Nie, Xiaohuan Cao, Khosro Bahrami, Huiguang He, Dinggang Shen

Proceedings of the Patch-Based Techniques in Medical Imaging, 2017

2016

Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson's Disease.

Luyan Liu, Qian Wang, Ehsan Adeli, Lichi Zhang, Han Zhang, Dinggang Shen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015

Automatic Hippocampus Labeling Using the Hierarchy of Sub-region Random Forests.

Lichi Zhang, Qian Wang, Yaozong Gao, Guorong Wu, Dinggang Shen

Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

Multi-atlas Context Forests for Knee MR Image Segmentation.

Qin Liu, Qian Wang, Lichi Zhang, Yaozong Gao, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Interactive Registration and Segmentation for Multi-Atlas-Based Labeling of Brain MR Image.

Qian Wang, Guorong Wu, Minjeong Kim, Lichi Zhang, Dinggang Shen

Proceedings of the Computer Vision - CCF Chinese Conference, 2015

2014

Learning of Atlas Forest Hierarchy for Automatic Labeling of MR Brain Images.

Lichi Zhang, Qian Wang, Yaozong Gao, Guorong Wu, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

2013

Robust estimation of shape and polarisation using blind source separation.

Lichi Zhang, Edwin R. Hancock

Pattern Recognit. Lett., 2013

2012

Estimating Surface Characteristics and Extracting Features from Polarisation.

Lichi Zhang, Edwin R. Hancock, Jing Wu

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

A comprehensive polarisation model for surface orientation recovery.

Lichi Zhang, Edwin R. Hancock

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Simultaneous reflectance estimation and surface shape recovery using polarisation.

Lichi Zhang, Edwin R. Hancock

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

Reflection Component Separation Using Statistical Analysis and Polarisation.

Lichi Zhang, Edwin R. Hancock, Gary A. Atkinson

Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

Robust Shape and Polarisation Estimation Using Blind Source Separation.

Lichi Zhang, Edwin R. Hancock

Proceedings of the Computer Analysis of Images and Patterns, 2011

2008

Shape and reflectance estimation from dielectric materials using statistical analysis and polarisation.

Lichi Zhang

PhD thesis, 2008