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ORCIDLi Wang 0026
Person information
- affiliation: University of North Carolina at Chapel Hill, IDEA Lab, Department of Radiology and BRIC, NC, USA
- affiliation (former): Nanjing University of Science and Technology, School of Computer Science & Technology, China
Other persons with the same name
- Li Wang — disambiguation page
- Li Wang 0001 — State University of New York at Buffalo, Department of Mathematics, NY, USA
- Li Wang 0002 — Université de Sherbrooke, Sherbrooke, Québec, Canada (and 1 more)
- Li Wang 0003 — State University of New York, Department of Computer Science, Stony Brook, NY, USA
- Li Wang 0004 — Phoneware Communication Systems, Burwood East, Victoria, Australia (and 1 more)
- Li Wang 0005 — University of Warwick, Department of Computer Science, Coventry, UK
- Li Wang 0006 — Hong Kong University, Department of Electrical & Electronic Engineering, China
- Li Wang 0007 — University of Michigan, Ross School of Business, Ann Arbor, MI, USA (and 1 more)
- Li Wang 0008 — University of Tennessee, School of Genome Science and Technology, Knoxville, TN, USA (and 1 more)
- Li Wang 0009 — Beijing Institute of Technology, College of Computer Science and Technology, China
- Li Wang 0010 — Sichuan University, School of Computer Science, ChengDu, China
- Li Wang 0011 — Illinois Institute of Technology, Chicago, IL, USA
- Li Wang 0012 — University of Southern California
- Li Wang 0013 — University of Utah, Department of Electrical and Computer Engineering, Salt Lake City, UT, USA
- Li Wang 0014
![[0000-0002-7385-1426]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7385-1426")
— Taiyuan University of Technology, College of Data Science, China - Li Wang 0015 — Huazhong University of Science and Technology, Wuhan, China (and 1 more)
- Li Wang 0016 — ACS Sensors Lab, Honeywell, Shanghai, China
- Li Wang 0017 — Shenyang Institute of Aeronautical Engineering, Department of Science, Shenyang, Liaoning, China
- Li Wang 0018 — Nanjing Normal University, School of Mathematics and Computer Science, China
- Li Wang 0019 — National Cheng Kung University, Department of Electrical Engineering, Tainan, Taiwan
- Li Wang 0020 — University of Wisconsin-Madison, Department of Mathematics, Madison, WI, USA
- Li Wang 0021 — Penn State College of Medicine, Hershey, PA, USA (and 1 more)
- Li Wang 0022 — Beihang University, School of Economics and Management, Beijing, China
- Li Wang 0023 — Hebei United University, College of Sciences, Tangshan, Hebei, China
- Li Wang 0024 — Huawei Technologies, Stockholm, Sweden (and 1 more)
- Li Wang 0025 — Northwestern Polytechnical University, Department of Applied Mathematics, Xi'an, Shaanxi, China
- Li Wang 0027 — National University of Defense Technology (NUDT), School of Computer, ChangSha, China
- Li Wang 0028 — Massey University, Albany Village, Auckland, New Zealand
- Li Wang 0029 — University of Kentucky
- Li Wang 0030 — Shanxi University, Institute of Environmental Science, Taiyuan, China
- Li Wang 0031 — Chinese Academy of Sciences, Institute of Psychology, Beijing, China
- Li Wang 0032 — Beijing Jiaotong University, School of Traffic and Transportation, China
- Li Wang 0033 — University of Texas at Arlington, Department of Mathematics, TX, USA (and 2 more)
- Li Wang 0034 — North China University of Technology, Beijing Key Lab of Urban Intelligent Traffic Control Technology, Beijing, China
- Li Wang 0035 (aka: Lily Wang 0002) — Iowa State University, Department of Statistics, Ames, IA, USA (and 2 more)
- Li Wang 0036 — State University of New York at Buffalo, Department of Mathematics, NY, USA (and 2 more)
- Li Wang 0037 — South China Normal University, Academy of South China Advanced Optoelectronics, Institute of Electronic Paper Displays, Guangzhou, China
- Li Wang 0038 — University of Science and Technology of China, School of Computer Science and Technology, Hefei, China
- Li Wang 0039 — Beijing University of Posts and Telecommunications, School of Electronic Engineering, China (and 3 more)
- Li Wang 0040 — China University of Petroleum (East China), College of Information and Control Engineering, Qingdao, China
- Li Wang 0041 — Zhejiang University of Technology, College of Information Engineering, Hangzhou, China (and 2 more)
- Li Wang 0042 — Tsinghua University, Research Institute of Information Technology, Beijing, China
- Li Wang 0043 — Tianjin University of Technology, Key Laboratory of Intelligence Computing and Novel Software Technology / Key Laboratory of Computer Vision and System, China
- Li Wang 0044 — Chinese Academy of Sciences, Institute of Polity and Management, Beijing, China
- Li Wang 0045 — Northwestern Polytechnical University, China (and 2 more)
- Li Wang 0046 — Université Grenoble Alpes, France
- Li Wang 0047 — University of Paris-Saclay, France
- Li Wang 0048 — National University of Defense Technology, College of Electronic Science, Changsha, China
- Li Wang 0049 — Tongji University, College of Electronics and Information Engineering, Shanghai, China
- Li Wang 0050 — Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, GA, USA
- Li Wang 0051 — Tianjin University, School of Computer Software, China (and 2 more)
- Li Wang 0052 — Capital Normal University, School of Mathematical Sciences, Beijing, China
- Li Wang 0053 — Nanjing University of Aeronautics and Astronautics, Department of Electrical Engineering, China
- Li Wang 0054 — Northwestern Polytechnical University, School of Electronics and Information, International Center for Information Acquisition & Processing, Xi'an, China
- Li Wang 0055 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, State Key Laboratory of Remote Sensing Science, Beijing, China (and 1 more)
- Li Wang 0056 — Ant Financial Services Group, Hangzhou, China
- Li Wang 0057 — A*STAR, Institute for Infocomm Research (I2R), Singapore (and 1 more)
- Li Wang 0058 — Skyworks Solutions, Newbury Park, CA, USA (and 1 more)
- Li Wang 0059 — University of Macau, Faculty of Science and Technology, Macau
- Li Wang 0060 — Jiangsu University, Department of Automotive and Traffic Engineering, Zhenjiang, China
- Li Wang 0061 — University of Texas Southwestern Medical Center, Dallas, TX, USA (and 1 more)
- Li Wang 0062 — China University of Mining and Technology (Beijing), School of Science, China
- Li Wang 0063 — Beijing Institute of Technology, School of Automation, China
- Li Wang 0064 — Liaoning Technical University, School of Electronic and Information Engineering, Huludao, China
- Li Wang 0065 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China
- Li Wang 0066 — East China Normal University, Faculty of Economics and Management, Shanghai, China
- Li Wang 0067 — Guangzhou University, School of Mechanical and Electrical Engineering, China (and 1 more)
- Li Wang 0068 — Beijing Technology and Business University, School of Computer and Information Engineering, China (and 1 more)
- Li Wang 0069 — Guangdong Power Grid Ltd., Guangzhou Power Supply Bureau, China
- Li Wang 0070 — Hubei Normal University, College of Mechatronics and Control Engineering, Huangshi, China
- Li Wang 0071 — Zhejiang University, College of Biosystems Engineering and Food Science, Hangzhou, China
- Li Wang 0072 — Xi'an Jiaotong University, School of Electronic and Information Engineering, China
- Li Wang 0073 — Nanjing University of Posts and Telecommunications, School of Computer Science, China
- Li Wang 0074 — National Research Center for Rehabilitation Technical Aids, Beijing, China
- Li Wang 0075 — Anhui University of Science and Technology, School of Computer Science and Engineering, Huainan, China
- Li Wang 0076 — Hunan University of Science and Technology, School of Mathematics and Computational Science, Xiangtan, China
- Li Wang 0077 — Nantong University, Medical School, Department of Medical Informatics, China (and 2 more)
- Li Wang 0078 — Zhengzhou University, Henan Provincial People's Hospital, Department of Gynecology and Obstetrics, China
- Li Wang 0079 — Shandong University, School of Mechanical Engineering, Jinan, China
- Li Wang 0080 — Army Medical University (Third Military Medical University), Chongqing, China
- Li Wang 0081 — Guangdong Academy of Sciences, Guangzhou Institute of Geography, China
- Li Wang 0082 — Massachusetts Institute of Technology, Operations Research Center, Cambridge, MA, USA
- Li Wang 0083 — Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong
- Li Wang 0084 — Southwest Medical University, Affiliated Hospital, Department of Nuclear Medicine, Luzhou, China
- Li Wang 0085 — Open University of China, College of Computer Science, Beijing, China
- Li Wang 0086 — Sun Yat-sen University, Department of Applied Mechanics and Engineering, Guangzhou, China
- Li Wang 0087 — Shenyang Aerospace University, College of Science, China
- Li Wang 0088 — Liaoning Normal University, Dalian, China
- Li Wang 0089 — Xinjiang University, College of Mathematics and System Sciences, Urumqi, China
- Li Wang 0090 — Xi'an Jiaotong University, School of Automation, Faculty of Electronic and Information, China
- Li Wang 0091 — Xi'an Jiaotong University, School of Electrical Engineering, China
- Li Wang 0092 — Tsinghua University, School of Vehicle and Mobility, State Key Laboratory of Automotive Safety and Energy, Beijing, China
- Li Wang 0093 — Shenzhen University, College of Computer Science and Software Engineering, China (and 1 more)
- Li Wang 0094 — Xidian University, School of Electronic Engineering, MoE Key Laboratory of Electronic Information Countermeasure and Simulation Technology, Xi'an, China
- Li Wang 0095 — Wuhan University, School of Electronic Information, China (and 1 more)
- Li Wang 0096 — Jiangsu Automation Research Institute, Lianyungang, China
- Li Wang 0097 — Southwest University, College of Electronic and Information Engineering, Chongqing, China
- Li Wang 0098 — Guangxi University for Nationalities, School of Artificial Intelligence, Nanning, China
- Li Wang 0099 — Xihua University, School of Electrical Engineering and Electronic Information, Chengdu, China
- Li Wang 0100 — Hohai University, College of Computer and Information, Nanjing, China
- Li Wang 0101 — University of Minnesota, School of Mathematics, Minneapolis, MN, USA
- Li Wang 0102 — Xijing University, Business School, Xi'an, China
- Li Wang 0103 — Shanxi Agricultural University, College of Software, Taigu, China
- Li Wang 0104 — Hebei University of Technology, School of Civil Engineering and Transportation, Tianjin, China
- Li Wang 0105 — Bournemouth University, Poole, UK
- Li Wang 0106 — Monash University, Australia
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2020 – today
- 2024
[j70]Liang Wu, Shunbo Hu, Duanwei Wang, Changchun Liu, Li Wang:
RClaNet: An Explainable Alzheimer's Disease Diagnosis Framework by Joint Registration and Classification. IEEE J. Biomed. Health Informatics 28(4): 2338-2349 (2024)- [j69]Yuchen Pei, Fenqiang Zhao, Tao Zhong, Laifa Ma, Lufan Liao, Zhengwang Wu, Li Wang, He Zhang, Lisheng Wang, Gang Li:
PETS-Nets: Joint Pose Estimation and Tissue Segmentation of Fetal Brains Using Anatomy-Guided Networks. IEEE Trans. Medical Imaging 43(3): 1006-1017 (2024) - 2023
- [j68]Lei Ma, Chunfeng Lian, Dae-Seung Kim, Deqiang Xiao, Dongming Wei, Qin Liu, Tianshu Kuang, Maryam Ghanbari, Guoshi Li, Jaime Gateno, Steve Guo-Fang Shen, Li Wang, Dinggang Shen, James J. Xia, Pew-Thian Yap:
Bidirectional prediction of facial and bony shapes for orthognathic surgical planning. Medical Image Anal. 83: 102644 (2023) - [j67]Liangjun Chen, Zhengwang Wu, Fenqiang Zhao, Ya Wang, Weili Lin, Li Wang, Gang Li:
An attention-based context-informed deep framework for infant brain subcortical segmentation. NeuroImage 269: 119931 (2023) - [j66]Yunzhi Huang, Sahar Ahmad, Luyi Han, Shuai Wang, Zhengwang Wu, Weili Lin, Gang Li, Li Wang, Pew-Thian Yap:
Longitudinal prediction of postnatal brain magnetic resonance images via a metamorphic generative adversarial network. Pattern Recognit. 143: 109715 (2023) - [j65]Shuai Wang, Kun Sun, Li Wang, Liangqiong Qu, Fuhua Yan, Qian Wang, Dinggang Shen:
Breast Tumor Segmentation in DCE-MRI With Tumor Sensitive Synthesis. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4990-5001 (2023) - [c123]Yongheng Sun, Fan Wang, Jun Shu, Haifeng Wang, Li Wang, Deyu Meng, Chunfeng Lian:
Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan. ICCV 2023: 21061-21071 - [c122]Jiale Cheng, Fenqiang Zhao, Zhengwang Wu, Ya Wang, Xinrui Yuan, Yue Sun, Weili Lin, Li Wang, Xin Zhang, Gang Li:
Deformable Spherical Transformer for Cerebellar Surface Parcellation. ISBI 2023: 1-5 - [c121]Laifa Ma, Liangjun Chen, Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, He Zhang, Kenli Li, Gang Li:
Geometric Constrained Deep Learning for Motion Correction of Fetal Brain Mr Images. ISBI 2023: 1-5 - [c120]Lintao Zhang, Jinjian Wu, Lihong Wang, Li Wang, David C. Steffens, Shijun Qiu, Guy G. Potter, Mingxia Liu:
Brain Anatomy-Guided MRI Analysis for Assessing Clinical Progression of Cognitive Impairment with Structural MRI. MICCAI (8) 2023: 109-119 - [c119]Ruiyan Fang, Yu Li, Xin Zhang, Shengxian Chen, Jiale Cheng, Xiangmin Xu, Jieling Wu, Weili Lin, Li Wang, Zhengwang Wu, Gang Li:
Path-Based Heterogeneous Brain Transformer Network for Resting-State Functional Connectivity Analysis. MICCAI (8) 2023: 328-337 - [c118]Fenqiang Zhao, Zhengwang Wu, Dajiang Zhu, Tianming Liu, John H. Gilmore, Weili Lin, Li Wang, Gang Li:
Disentangling Site Effects with Cycle-Consistent Adversarial Autoencoder for Multi-site Cortical Data Harmonization. MICCAI (8) 2023: 369-379 - [c117]Zhengwang Wu, Jiale Cheng, Fenqiang Zhao, Ya Wang, Yue Sun, Dajiang Zhu, Tianming Liu, Valerie Jewells, Weili Lin, Li Wang, Gang Li:
Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning. MICCAI (8) 2023: 429-438 - [c116]Xueyang Wu, Tao Zhong, Shujun Liang, Li Wang, Gang Li, Yu Zhang:
Collaborative Modality Generation and Tissue Segmentation for Early-Developing Macaque Brain MR Images. MICCAI (4) 2023: 470-480 - [c115]Xinrui Yuan, Jiale Cheng, Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Yu Zhang, Gang Li:
Multi-task Joint Prediction of Infant Cortical Morphological and Cognitive Development. MICCAI (9) 2023: 545-554 - [c114]Jiale Cheng, Xin Zhang, Fenqiang Zhao, Zhengwang Wu, Xinrui Yuan, Li Wang, Weili Lin, Gang Li:
Prediction of Infant Cognitive Development with Cortical Surface-Based Multimodal Learning. MICCAI (2) 2023: 618-627 - [i13]Lintao Zhang, Jinjian Wu, Lihong Wang, Li Wang, David C. Steffens, Shijun Qiu, Guy G. Potter, Mingxia Liu:
Brain Anatomy Prior Modeling to Forecast Clinical Progression of Cognitive Impairment with Structural MRI. CoRR abs/2306.11837 (2023) - [i12]Zhuowen Yin, Xinyao Ding, Xin Zhang, Zhengwang Wu, Li Wang, Gang Li:
Early Autism Diagnosis based on Path Signature and Siamese Unsupervised Feature Compressor. CoRR abs/2307.06472 (2023) - [i11]Yongheng Sun, Fan Wang, Jun Shu, Haifeng Wang, Li Wang, Deyu Meng, Chunfeng Lian:
Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan. CoRR abs/2308.06774 (2023) - 2022
- [j64]Tao Zhong, Jingkuan Wei, Kunhua Wu, Liangjun Chen, Fenqiang Zhao, Yuchen Pei, Ya Wang, Hongjiang Zhang, Zhengwang Wu, Ying Huang, Tengfei Li, Li Wang, Yongchang Chen, Weizhi Ji, Yu Zhang, Gang Li, Yuyu Niu:
Longitudinal brain atlases of early developing cynomolgus macaques from birth to 48 months of age. NeuroImage 247: 118799 (2022) - [j63]Liangjun Chen, Zhengwang Wu, Dan Hu, Ya Wang, Fenqiang Zhao, Tao Zhong, Weili Lin, Li Wang, Gang Li:
A 4D infant brain volumetric atlas based on the UNC/UMN baby connectome project (BCP) cohort. NeuroImage 253: 119097 (2022) - [j62]Jie Wei, Zhengwang Wu, Li Wang, Toan Duc Bui, Liangqiong Qu, Pew-Thian Yap, Yong Xia, Gang Li, Dinggang Shen:
A cascaded nested network for 3T brain MR image segmentation guided by 7T labeling. Pattern Recognit. 124: 108420 (2022) - [j61]Dongming Wei, Sahar Ahmad, Yuyu Guo, Liyun Chen, Yunzhi Huang, Lei Ma, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew-Thian Yap, Dinggang Shen, Qian Wang:
Recurrent Tissue-Aware Network for Deformable Registration of Infant Brain MR Images. IEEE Trans. Medical Imaging 41(5): 1219-1229 (2022) - [j60]Jiale Cheng, Xin Zhang, Hao Ni, Chenyang Li, Xiangmin Xu, Zhengwang Wu, Li Wang, Weili Lin, Gang Li:
Path Signature Neural Network of Cortical Features for Prediction of Infant Cognitive Scores. IEEE Trans. Medical Imaging 41(7): 1665-1676 (2022) - [j59]Yu Li, Xin Zhang, Jingxin Nie, Guowei Zhang, Ruiyan Fang, Xiangmin Xu, Zhengwang Wu, Dan Hu, Li Wang, Han Zhang, Weili Lin, Gang Li:
Brain Connectivity Based Graph Convolutional Networks and Its Application to Infant Age Prediction. IEEE Trans. Medical Imaging 41(10): 2764-2776 (2022) - [j58]Yankun Lang, Chunfeng Lian, Deqiang Xiao, Han Deng, Kim-Han Thung, Peng Yuan, Jaime Gateno, Tianshu Kuang, David M. Alfi, Li Wang, Dinggang Shen, James J. Xia, Pew-Thian Yap:
Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D Mask R-CNN and Local Dependency Learning. IEEE Trans. Medical Imaging 41(10): 2856-2866 (2022) - [j57]Tai-Hsien Wu, Chunfeng Lian, Sanghee Lee, Matthew Pastewait, Christian Piers, Jie Liu, Fan Wang, Li Wang, Chiung-Ying Chiu, Wenchi Wang, Christina Jackson, Wei-Lun Chao, Dinggang Shen, Ching-Chang Ko:
Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans. IEEE Trans. Medical Imaging 41(11): 3158-3166 (2022) - [j56]Chunfeng Lian, Mingxia Liu, Li Wang, Dinggang Shen:
Multi-Task Weakly-Supervised Attention Network for Dementia Status Estimation With Structural MRI. IEEE Trans. Neural Networks Learn. Syst. 33(8): 4056-4068 (2022) - [c113]Jiale Cheng, Xin Zhang, Fenqiang Zhao, Zhengwang Wu, Ya Wang, Ying Huang, Weili Lin, Li Wang, Gang Li:
Spherical Transformer for Quality Assessment of Pediatric Cortical Surfaces. ISBI 2022: 1-5 - [c112]Yunxiang Li, Ruilong Dan, Shuai Wang, Yifan Cao, Xiangde Luo, Chenghao Tan, Gangyong Jia, Huiyu Zhou, You Zhang, Yaqi Wang, Li Wang:
Plug-and-Play Shape Refinement Framework for Multi-site and Lifespan Brain Skull Stripping. MLMI@MICCAI 2022: 81-90 - [c111]Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Gang Li:
Fast Spherical Mapping of Cortical Surface Meshes Using Deep Unsupervised Learning. MICCAI (6) 2022: 163-173 - [c110]Sahar Ahmad, Fang Nan, Ye Wu, Zhengwang Wu, Weili Lin, Li Wang, Gang Li, Di Wu, Pew-Thian Yap:
Harmonization of Multi-site Cortical Data Across the Human Lifespan. MLMI@MICCAI 2022: 220-229 - [c109]Xiaowei Yu, Dan Hu, Lu Zhang, Ying Huang, Zhengwang Wu, Tianming Liu, Li Wang, Weili Lin, Dajiang Zhu, Gang Li:
Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network. MICCAI (8) 2022: 255-264 - [c108]Jiale Cheng, Xin Zhang, Fenqiang Zhao, Zhengwang Wu, Xinrui Yuan, John H. Gilmore, Li Wang, Weili Lin, Gang Li:
Spherical Transformer on Cortical Surfaces. MLMI@MICCAI 2022: 406-415 - [i10]Yunxiang Li, Ruilong Dan, Shuai Wang, Yifan Cao, Xiangde Luo, Chenghao Tan, Gangyong Jia, Huiyu Zhou, Yaqi Wang, Li Wang:
Source-free Domain Adaptation for Multi-site and Lifespan Brain Skull Stripping. CoRR abs/2203.04299 (2022) - [i9]Yunzhi Huang, Sahar Ahmad, Luyi Han, Shuai Wang, Zhengwang Wu, Weili Lin, Gang Li, Li Wang, Pew-Thian Yap:
Longitudinal Prediction of Postnatal Brain Magnetic Resonance Images via a Metamorphic Generative Adversarial Network. CoRR abs/2208.04825 (2022) - 2021
- [j55]Jian Chen, Yue Sun, Zhenghan Fang, Weili Lin, Gang Li, Li Wang:
Harmonized neonatal brain MR image segmentation model for cross-site datasets. Biomed. Signal Process. Control. 69: 102810 (2021) - [j54]Jian Chen, Zhenghan Fang, Guofu Zhang, Lei Ling, Gang Li, He Zhang, Li Wang:
Automatic brain extraction from 3D fetal MR image with deep learning-based multi-step framework. Comput. Medical Imaging Graph. 88: 101848 (2021) - [j53]Xu Chen, Chunfeng Lian, Li Wang, Hannah H. Deng, Tianshu Kuang, Steve H. Fung, Jaime Gateno, Dinggang Shen, James J. Xia, Pew-Thian Yap:
Diverse data augmentation for learning image segmentation with cross-modality annotations. Medical Image Anal. 71: 102060 (2021) - [j52]Liangjun Chen, Zhengwang Wu, Dan Hu, Fan Wang, J. Keith Smith, Weili Lin, Li Wang, Dinggang Shen, Gang Li:
ABCnet: Adversarial bias correction network for infant brain MR images. Medical Image Anal. 72: 102133 (2021) - [j51]Tao Zhong, Fenqiang Zhao, Yuchen Pei, Zhenyuan Ning, Lufan Liao, Zhengwang Wu, Yuyu Niu, Li Wang, Dinggang Shen, Yu Zhang, Gang Li:
DIKA-Nets: Domain-invariant knowledge-guided attention networks for brain skull stripping of early developing macaques. NeuroImage 227: 117649 (2021) - [j50]Mackenzie Woodburn, Cheyenne L. Bricken, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Margaret A. Sheridan, Jessica R. Cohen:
The maturation and cognitive relevance of structural brain network organization from early infancy to childhood. NeuroImage 238: 118232 (2021) - [j49]Deqiang Xiao, Chunfeng Lian, Li Wang, Hannah H. Deng, Hung-Ying Lin, Kim-Han Thung, Jihua Zhu, Peng Yuan, Leonel Perez Jr., Jaime Gateno, Steve Guo-Fang Shen, Pew-Thian Yap, James J. Xia, Dinggang Shen:
Estimating Reference Shape Model for Personalized Surgical Reconstruction of Craniomaxillofacial Defects. IEEE Trans. Biomed. Eng. 68(2): 362-373 (2021) - [j48]Xu Chen, Chunfeng Lian, Li Wang, Hannah H. Deng, Tianshu Kuang, Steve H. Fung, Jaime Gateno, Pew-Thian Yap, James J. Xia, Dinggang Shen:
Anatomy-Regularized Representation Learning for Cross-Modality Medical Image Segmentation. IEEE Trans. Medical Imaging 40(1): 274-285 (2021) - [j47]Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, John H. Gilmore, Shunren Xia, Dinggang Shen, Gang Li:
Spherical Deformable U-Net: Application to Cortical Surface Parcellation and Development Prediction. IEEE Trans. Medical Imaging 40(4): 1217-1228 (2021) - [j46]Yue Sun, Kun Gao, Zhengwang Wu, Guannan Li, Xiaopeng Zong, Zhihao Lei, Ying Wei, Jun Ma, Xiaoping Yang, Xue Feng, Li Zhao, Trung Le Phan, Jitae Shin, Tao Zhong, Yu Zhang, Lequan Yu, Caizi Li, Ramesh Basnet, M. Omair Ahmad, M. N. S. Swamy, Wenao Ma, Qi Dou, Toan Duc Bui, Camilo Bermudez Noguera, Bennett A. Landman, Ian H. Gotlib, Kathryn L. Humphreys, Sarah Shultz, Longchuan Li, Sijie Niu, Weili Lin, Valerie Jewells, Dinggang Shen, Gang Li, Li Wang:
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. IEEE Trans. Medical Imaging 40(5): 1363-1376 (2021) - [j45]Fenqiang Zhao, Zhengwang Wu, Fan Wang, Weili Lin, Shunren Xia, Dinggang Shen, Li Wang, Gang Li:
S3Reg: Superfast Spherical Surface Registration Based on Deep Learning. IEEE Trans. Medical Imaging 40(8): 1964-1976 (2021) - [c107]Hao Guan, Li Wang, Mingxia Liu:
Multi-Source Domain Adaptation via Optimal Transport for Brain Dementia Identification. ISBI 2021: 1514-1517 - [c106]Hao Guan, Li Wang, Dongren Yao, Andrea Bozoki, Mingxia Liu:
Learning Transferable 3D-CNN for MRI-Based Brain Disorder Classification from Scratch: An Empirical Study. MLMI@MICCAI 2021: 10-19 - [c105]Liangjun Chen, Zhengwang Wu, Dan Hu, Yuchen Pei, Fenqiang Zhao, Yue Sun, Ya Wang, Weili Lin, Li Wang, Gang Li:
Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases Based on Deep Learning. MICCAI (4) 2021: 139-149 - [c104]Yue Sun, Kun Gao, Weili Lin, Gang Li, Sijie Niu, Li Wang:
Multi-scale Self-supervised Learning for Multi-site Pediatric Brain MR Image Segmentation with Motion/Gibbs Artifacts. MLMI@MICCAI 2021: 171-179 - [c103]Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Gang Li:
A Deep Network for Joint Registration and Parcellation of Cortical Surfaces. MICCAI (4) 2021: 171-181 - [c102]Yu Li, Jiale Cheng, Xin Zhang, Ruiyan Fang, Lufan Liao, Xinyao Ding, Hao Ni, Xiangmin Xu, Zhengwang Wu, Dan Hu, Weili Lin, Li Wang, John H. Gilmore, Gang Li:
Learning Infant Brain Developmental Connectivity for Cognitive Score Prediction. MLMI@MICCAI 2021: 228-237 - [c101]Dan Hu, Weiyan Yin, Zhengwang Wu, Liangjun Chen, Li Wang, Weili Lin, Gang Li:
Reference-Relation Guided Autoencoder with Deep CCA Restriction for Awake-to-Sleep Brain Functional Connectome Prediction. MICCAI (3) 2021: 231-240 - [c100]Yuchen Pei, Liangjun Chen, Fenqiang Zhao, Zhengwang Wu, Tao Zhong, Ya Wang, Changan Chen, Li Wang, He Zhang, Lisheng Wang, Gang Li:
Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network. MICCAI (7) 2021: 239-248 - [c99]Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Gang Li:
Learning 4D Infant Cortical Surface Atlas with Unsupervised Spherical Networks. MICCAI (2) 2021: 262-272 - [i8]Tai-Hsien Wu, Chunfeng Lian, Sanghee Lee, Matthew Pastewait, Christian Piers, Jie Liu, Fang Wang, Li Wang, Christina Jackson, Wei-Lun Chao, Dinggang Shen, Ching-Chang Ko:
Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans. CoRR abs/2109.11941 (2021) - [i7]Yunxiang Li, Jingxiong Li, Ruilong Dan, Shuai Wang, Kai Jin, Guodong Zeng, Jun Wang, Xiangji Pan, Qianni Zhang, Huiyu Zhou, Qun Jin, Li Wang, Yaqi Wang:
Dispensed Transformer Network for Unsupervised Domain Adaptation. CoRR abs/2110.14944 (2021) - 2020
- [j44]Jose Dolz, Christian Desrosiers, Li Wang, Jing Yuan, Dinggang Shen, Ismail Ben Ayed:
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation. Comput. Medical Imaging Graph. 79: 101660 (2020) - [j43]Jun Zhang, Mingxia Liu, Li Wang, Si Chen, Peng Yuan, Jianfu Li, Steve Guo-Fang Shen, Zhen Tang, Ken-Chung Chen, James J. Xia, Dinggang Shen:
Context-guided fully convolutional networks for joint craniomaxillofacial bone segmentation and landmark digitization. Medical Image Anal. 60 (2020) - [j42]Dong Nie, Roger Trullo, Jun Lian, Li Wang, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen:
Corrections to "Medical Image Synthesis With Deep Convolutional Adversarial Networks". IEEE Trans. Biomed. Eng. 67(9): 2706 (2020) - [j41]Yue Sun, Sijie Niu, Xizhan Gao, Jie Su, Jiwen Dong, Yuehui Chen, Li Wang:
Adaptive-Guided-Coupling-Probability Level Set for Retinal Layer Segmentation. IEEE J. Biomed. Health Informatics 24(11): 3236-3247 (2020) - [j40]Xu Chen, James J. Xia, Dinggang Shen, Chunfeng Lian, Li Wang, Hannah H. Deng, Steve H. Fung, Dong Nie, Kim-Han Thung, Pew-Thian Yap, Jaime Gateno:
One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures. IEEE Trans. Medical Imaging 39(3): 787-796 (2020) - [j39]Chunfeng Lian, Li Wang, Tai-Hsien Wu, Fan Wang, Pew-Thian Yap, Ching-Chang Ko, Dinggang Shen:
Deep Multi-Scale Mesh Feature Learning for Automated Labeling of Raw Dental Surfaces From 3D Intraoral Scanners. IEEE Trans. Medical Imaging 39(7): 2440-2450 (2020) - [j38]Dan Hu, Han Zhang, Zhengwang Wu, Fan Wang, Li Wang, J. Keith Smith, Weili Lin, Gang Li, Dinggang Shen:
Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages. IEEE Trans. Medical Imaging 39(12): 4137-4149 (2020) - [c98]Xin Zhang, Xinyao Ding, Zhengwang Wu, Jing Xia, Hao Ni, Xiangmin Xu, Lufan Liao, Li Wang, Gang Li:
Siamese Verification Framework for Autism Identification During Infancy Using Cortical Path Signature Features. ISBI 2020: 1-4 - [c97]Jie Wei, Duc Toan Bui, Zhengwang Wu, Li Wang, Yong Xia, Gang Li, Dinggang Shen:
7T Guided 3T Brain Tissue Segmentation Using Cascaded Nested Network. ISBI 2020: 140-143 - [c96]Toan Duc Bui, Li Wang, Weili Lin, Gang Li, Dinggang Shen:
6-Month Infant Brain Mri Segmentation Guided by 24-Month Data Using Cycle-Consistent Adversarial Networks. ISBI 2020: 359-362 - [c95]Lufan Liao, Xin Zhang, Fenqiang Zhao, Jingjiao Lou, Li Wang, Xiangmin Xu, He Zhang, Gang Li:
Multi-Branch Deformable Convolutional Neural Network with Label Distribution Learning for Fetal Brain Age Prediction. ISBI 2020: 424-427 - [c94]Mayssa Soussia, Xuyun Wen, Zhen Zhou, Bing Jin, Tae-Eui Kam, Li-Ming Hsu, Zhengwang Wu, Gang Li, Li Wang, Islem Rekik, Weili Lin, Dinggang Shen, Han Zhang:
A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy. MICCAI (7) 2020: 13-21 - [c93]Tao Zhong, Yu Zhang, Fenqiang Zhao, Yuchen Pei, Lufan Liao, Zhenyuan Ning, Li Wang, Dinggang Shen, Gang Li:
Domain-Invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains. MICCAI (7) 2020: 22-32 - [c92]Dan Hu, Fan Wang, Han Zhang, Zhengwang Wu, Li Wang, Weili Lin, Gang Li, Dinggang Shen:
Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting. MICCAI (7) 2020: 72-82 - [c91]Hao Guan, Erkun Yang, Li Wang, Pew-Thian Yap, Mingxia Liu, Dinggang Shen:
Linking Adolescent Brain MRI to Obesity via Deep Multi-cue Regression Network. MLMI@MICCAI 2020: 111-119 - [c90]Xin Zhang, Jiale Cheng, Hao Ni, Chenyang Li, Xiangmin Xu, Zhengwang Wu, Li Wang, Weili Lin, Dinggang Shen, Gang Li:
Infant Cognitive Scores Prediction with Multi-stream Attention-Based Temporal Path Signature Features. MICCAI (7) 2020: 134-144 - [c89]Ying Huang, Fan Wang, Zhengwang Wu, Zengsi Chen, Han Zhang, Li Wang, Weili Lin, Dinggang Shen, Gang Li:
Construction of Spatiotemporal Infant Cortical Surface Functional Templates. MICCAI (7) 2020: 238-248 - [c88]Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Dinggang Shen, Gang Li:
Unsupervised Learning for Spherical Surface Registration. MLMI@MICCAI 2020: 373-383 - [c87]Yuchen Pei, Li Wang, Fenqiang Zhao, Tao Zhong, Lufan Liao, Dinggang Shen, Gang Li:
Anatomy-Guided Convolutional Neural Network for Motion Correction in Fetal Brain MRI. MLMI@MICCAI 2020: 384-393 - [c86]Songyao Zhang, Lei Du, Jinglei Lv, Zhibin He, Xi Jiang, Lei Guo, Li Wang, Tianming Liu, Dinggang Shen, Gang Li, Tuo Zhang:
Gyral Growth Patterns of Macaque Brains Revealed by Scattered Orthogonal Nonnegative Matrix Factorization. MLMI@MICCAI 2020: 394-403 - [c85]Lufan Liao, Xin Zhang, Fenqiang Zhao, Tao Zhong, Yuchen Pei, Xiangmin Xu, Li Wang, He Zhang, Dinggang Shen, Gang Li:
Joint Image Quality Assessment and Brain Extraction of Fetal MRI Using Deep Learning. MICCAI (6) 2020: 415-424 - [c84]Liangjun Chen, Zhengwang Wu, Dan Hu, Ya Wang, Zhanhao Mo, Li Wang, Weili Lin, Dinggang Shen, Gang Li:
A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation. MICCAI (7) 2020: 646-656 - [c83]Yue Sun, Kun Gao, Sijie Niu, Weili Lin, Gang Li, Li Wang:
Semi-supervised Transfer Learning for Infant Cerebellum Tissue Segmentation. MLMI@MICCAI 2020: 663-673 - [c82]Kun Gao, Yue Sun, Sijie Niu, Li Wang:
Informative Feature-Guided Siamese Network for Early Diagnosis of Autism. MLMI@MICCAI 2020: 674-682 - [c81]Chunfeng Lian, Fan Wang, Hannah H. Deng, Li Wang, Deqiang Xiao, Tianshu Kuang, Hung-Ying Lin, Jaime Gateno, Steve Guo-Fang Shen, Pew-Thian Yap, James J. Xia, Dinggang Shen:
Multi-task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCT. MICCAI (4) 2020: 807-816 - [i6]Yue Sun, Kun Gao, Zhengwang Wu, Zhihao Lei, Ying Wei, Jun Ma, Xiaoping Yang, Xue Feng, Li Zhao, Trung Le Phan, Jitae Shin, Tao Zhong, Yu Zhang, Lequan Yu, Caizi Li, Ramesh Basnet, M. Omair Ahmad, M. N. S. Swamy, Wenao Ma, Qi Dou, Toan Duc Bui, Camilo Bermudez Noguera, Bennett A. Landman, Ian H. Gotlib, Kathryn L. Humphreys, Sarah Shultz, Longchuan Li, Sijie Niu, Weili Lin, Valerie Jewells, Gang Li, Dinggang Shen, Li Wang:
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. CoRR abs/2007.02096 (2020)
2010 – 2019
- 2019
- [j37]Li Wang, Yinghuan Shi, Heung-Il Suk, J. Alison Noble, Ghassan Hamarneh:
Special issue on machine learning in medical imaging. Comput. Medical Imaging Graph. 74: 10-11 (2019) - [j36]Hancan Zhu, Feng Shi, Li Wang, Sheng-Che Hung, Meng-Hsiang Chen, Shuai Wang, Weili Lin, Dinggang Shen:
Dilated Dense U-Net for Infant Hippocampus Subfield Segmentation. Frontiers Neuroinformatics 13: 30 (2019) - [j35]Yongqin Zhang, Pew-Thian Yap, Geng Chen, Weili Lin, Li Wang, Dinggang Shen:
Super-resolution reconstruction of neonatal brain magnetic resonance images via residual structured sparse representation. Medical Image Anal. 55: 76-87 (2019) - [j34]Sahar Ahmad, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew-Thian Yap, Dinggang Shen:
Surface-constrained volumetric registration for the early developing brain. Medical Image Anal. 58 (2019) - [j33]Dingna Duan, Shunren Xia, Islem Rekik, Yu Meng, Zhengwang Wu, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Exploring folding patterns of infant cerebral cortex based on multi-view curvature features: Methods and applications. NeuroImage 185: 575-592 (2019) - [j32]Brittany R. Howell, Martin A. Styner, Wei Gao, Pew-Thian Yap, Li Wang, Kristine Baluyot, Essa Yacoub, Geng Chen, Taylor Potts, Andrew P. Salzwedel, Gang Li, John H. Gilmore, Joseph Piven, J. Keith Smith, Dinggang Shen, Kâmil Ugurbil, Hongtu Zhu, Weili Lin, Jed T. Elison:
The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development. NeuroImage 185: 891-905 (2019) - [j31]Gang Li, Li Wang, Pew-Thian Yap, Fan Wang, Zhengwang Wu, Yu Meng, Pei Dong, Jaeil Kim, Feng Shi, Islem Rekik, Weili Lin, Dinggang Shen:
Computational neuroanatomy of baby brains: A review. NeuroImage 185: 906-925 (2019) - [j30]Liang Sun, Daoqiang Zhang, Chunfeng Lian, Li Wang, Zhengwang Wu, Wei Shao, Weili Lin, Dinggang Shen, Gang Li:
Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network. NeuroImage 198: 114-124 (2019) - [j29]Yongqin Zhang, Feng Shi, Jian Cheng, Li Wang, Pew-Thian Yap, Dinggang Shen:
Longitudinally Guided Super-Resolution of Neonatal Brain Magnetic Resonance Images. IEEE Trans. Cybern. 49(2): 662-674 (2019) - [j28]Dong Nie, Li Wang, Ehsan Adeli, Cuijin Lao, Weili Lin, Dinggang Shen:
3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation. IEEE Trans. Cybern. 49(3): 1123-1136 (2019) - [j27]Li Wang, Dong Nie, Guannan Li, Élodie Puybareau, Jose Dolz, Qian Zhang, Fan Wang, Jing Xia, Zhengwang Wu, Jiawei Chen, Kim-Han Thung, Toan Duc Bui, Jitae Shin, Guodong Zeng, Guoyan Zheng, Vladimir S. Fonov, Andrew Doyle, Yongchao Xu, Pim Moeskops, Josien P. W. Pluim, Christian Desrosiers, Ismail Ben Ayed, Gerard Sanroma, Oualid M. Benkarim, Adrià Casamitjana, Verónica Vilaplana, Weili Lin, Gang Li, Dinggang Shen:
Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. IEEE Trans. Medical Imaging 38(9): 2219-2230 (2019) - [j26]Dong Nie, Li Wang, Yaozong Gao, Jun Lian, Dinggang Shen:
STRAINet: Spatially Varying sTochastic Residual AdversarIal Networks for MRI Pelvic Organ Segmentation. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1552-1564 (2019) - [c80]Dong Nie, Li Wang, Lei Xiang, Sihang Zhou, Ehsan Adeli, Dinggang Shen:
Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation. AAAI 2019: 1085-1092 - [c79]Fenqiang Zhao, Shunren Xia, Zhengwang Wu, Dingna Duan, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Spherical U-Net on Cortical Surfaces: Methods and Applications. IPMI 2019: 855-866 - [c78]Dingna Duan, Shunren Xia, Zhengwang Wu, Fan Wang, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Cortical Foldingprints for Infant Identification. ISBI 2019: 396-399 - [c77]Jing Xia, Fan Wang, Zhengwang Wu, Li Wang, Yaping Wang, Caiming Zhang, Weili Lin, Dinggang Shen, Gang Li:
Charting Development-Based Joint Parcellation Maps Of Human and Macaque Brains During Infancy. ISBI 2019: 422-425 - [c76]Zengsi Chen, Zhengwang Wu, Liang Sun, Fan Wang, Li Wang, Fenqiang Zhao, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Construction of 4D Neonatal Cortical Surface Atlases Using Wasserstein Distance. ISBI 2019: 995-998 - [c75]Qian Zhang, Li Wang, Xiaopeng Zong, Weili Lin, Gang Li, Dinggang Shen:
Frnet: Flattened Residual Network for Infant MRI Skull Stripping. ISBI 2019: 999-1002 - [c74]Guannan Li, Meng-Hsiang Chen, Gang Li, Di Wu, Quan-Sen Sun, Dinggang Shen, Li Wang:
A Preliminary Volumetric MRI Study of Amygdala and Hippocampal Subfields in Autism During Infancy. ISBI 2019: 1052-1056 - [c73]Fenqiang Zhao, Shunren Xia, Zhengwang Wu, Li Wang, Zengsi Chen, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Spherical U-Net For Infant Cortical Surface Parcellation. ISBI 2019: 1882-1886 - [c72]Yankun Lang, Li Wang, Pew-Thian Yap, Chunfeng Lian, Hannah H. Deng, Kim-Han Thung, Deqiang Xiao, Peng Yuan, Steve Guo-Fang Shen, Jaime Gateno, Tianshu Kuang, David M. Alfi, James J. Xia, Dinggang Shen:
Automatic Detection of Craniomaxillofacial Anatomical Landmarks on CBCT Images Using 3D Mask R-CNN. GLMI@MICCAI 2019: 130-137 - [c71]Yongsheng Pan, Mingxia Liu, Li Wang, Yong Xia, Dinggang Shen:
Discriminative-Region-Aware Residual Network for Adolescent Brain Structure and Cognitive Development Analysis. GLMI@MICCAI 2019: 138-146 - [c70]Chunfeng Lian, Mingxia Liu, Li Wang, Dinggang Shen:
End-to-End Dementia Status Prediction from Brain MRI Using Multi-task Weakly-Supervised Attention Network. MICCAI (4) 2019: 158-167 - [c69]Guannan Li, Meng-Hsiang Chen, Gang Li, Di Wu, Chunfeng Lian, Quansen Sun, Dinggang Shen, Li Wang:
A Longitudinal MRI Study of Amygdala and Hippocampal Subfields for Infants with Risk of Autism. GLMI@MICCAI 2019: 164-171 - [c68]Jian Chen, Zhenghan Fang, Deqiang Xiao, Duc Toan Bui, Kim-Han Thung, Xianjun Li, Jian Yang, Weili Lin, Gang Li, Dinggang Shen, Li Wang:
CNS: CycleGAN-Assisted Neonatal Segmentation Model for Cross-Datasets. GLMI@MICCAI 2019: 172-179 - [c67]Toan Duc Bui, Li Wang, Jian Chen, Weili Lin, Gang Li, Dinggang Shen:
Multi-task Learning for Neonatal Brain Segmentation Using 3D Dense-Unet with Dense Attention Guided by Geodesic Distance. DART/MIL3ID@MICCAI 2019: 243-251 - [c66]Deqiang Xiao, Li Wang, Hannah H. Deng, Kim-Han Thung, Jihua Zhu, Peng Yuan, Yriu L. Rodrigues, Leonel Perez Jr., Christopher E. Crecelius, Jaime Gateno, Tiansku Kuang, Steve Guo-Fang Shen, Daeseung Kim, David M. Alfi, Pew-Thian Yap, James J. Xia, Dinggang Shen:
Estimating Reference Bony Shape Model for Personalized Surgical Reconstruction of Posttraumatic Facial Defects. MICCAI (5) 2019: 327-335 - [c65]Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Dinggang Shen, Gang Li:
Harmonization of Infant Cortical Thickness Using Surface-to-Surface Cycle-Consistent Adversarial Networks. MICCAI (4) 2019: 475-483 - [c64]Zhengwang Wu, Fenqiang Zhao, Jing Xia, Li Wang, Weili Lin, John H. Gilmore, Gang Li, Dinggang Shen:
Intrinsic Patch-Based Cortical Anatomical Parcellation Using Graph Convolutional Neural Network on Surface Manifold. MICCAI (3) 2019: 492-500 - [c63]Sahar Ahmad, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew-Thian Yap, Dinggang Shen:
Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brain. MICCAI (2) 2019: 815-822 - [c62]Chunfeng Lian, Li Wang, Tai-Hsien Wu, Mingxia Liu, Francisca Durán, Ching-Chang Ko, Dinggang Shen:
MeshSNet: Deep Multi-scale Mesh Feature Learning for End-to-End Tooth Labeling on 3D Dental Surfaces. MICCAI (6) 2019: 837-845 - [c61]Fan Wang, Chunfeng Lian, Zhengwang Wu, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Revealing Developmental Regionalization of Infant Cerebral Cortex Based on Multiple Cortical Properties. MICCAI (2) 2019: 841-849 - [i5]Fenqiang Zhao, Shunren Xia, Zhengwang Wu, Dingna Duan, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Spherical U-Net on Cortical Surfaces: Methods and Applications. CoRR abs/1904.00906 (2019) - [i4]Qian Zhang, Li Wang, Xiaopeng Zong, Weili Lin, Gang Li, Dinggang Shen:
FRNET: Flattened Residual Network for Infant MRI Skull Stripping. CoRR abs/1904.05578 (2019) - [i3]Yu Zhang, Li Wang:
From Abstractions to "Natural Languages" for Planning Agents. CoRR abs/1905.00517 (2019) - 2018
- [j25]Jing Xia, Fan Wang, Yu Meng, Zhengwang Wu, Li Wang, Weili Lin, Caiming Zhang, Dinggang Shen, Gang Li:
A computational method for longitudinal mapping of orientation-specific expansion of cortical surface in infants. Medical Image Anal. 49: 46-59 (2018) - [j24]Dinggang Shen, Li Wang:
Guest Editorial Special Issue on Deep Learning in Medical Imaging. IEEE Trans. Biomed. Eng. 65(9): 1898-1899 (2018) - [j23]Dong Nie, Roger Trullo, Jun Lian, Li Wang, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen:
Medical Image Synthesis with Deep Convolutional Adversarial Networks. IEEE Trans. Biomed. Eng. 65(12): 2720-2730 (2018) - [j22]Zhensong Wang, Lifang Wei, Li Wang, Yaozong Gao, Wufan Chen, Dinggang Shen:
Hierarchical Vertex Regression-Based Segmentation of Head and Neck CT Images for Radiotherapy Planning. IEEE Trans. Image Process. 27(2): 923-937 (2018) - [c60]Jing Xia, Caiming Zhang, Fan Wang, Yu Meng, Zhengwang Wu, Li Wang, Weili Lin, Dinggang Shen, Gang Li:
A computational method for longitudinal mapping of orientation-specific expansion of cortical surface area in infants. ISBI 2018: 683-686 - [c59]Fan Wang, Chunfeng Lian, Jing Xia, Zhengwang Wu, Dingna Duan, Li Wang, Dinggang Shen, Gang Li:
Construction of spatiotemporal infant cortical surface atlas of rhesus macaque. ISBI 2018: 704-707 - [c58]Zishun Feng, Dong Nie, Li Wang, Dinggang Shen:
Semi-supervised learning for pelvic MR image segmentation based on multi-task residual fully convolutional networks. ISBI 2018: 885-888 - [c57]Zhengwang Wu, Gang Li, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen:
Construction of spatiotemporal neonatal cortical surface atlases using a large-scale dataset. ISBI 2018: 1056-1059 - [c56]Xiaohuan Cao, Jianhuan Yang, Li Wang, Zhong Xue, Qian Wang, Dinggang Shen:
Deep Learning Based Inter-modality Image Registration Supervised by Intra-modality Similarity. MLMI@MICCAI 2018: 55-63 - [c55]Liang Sun, Daoqiang Zhang, Li Wang, Wei Shao, Zengsi Chen, Weili Lin, Dinggang Shen, Gang Li:
Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net. MLMI@MICCAI 2018: 125-133 - [c54]Jiawei Chen, Han Zhang, Dong Nie, Li Wang, Gang Li, Weili Lin, Dinggang Shen:
Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional Network. MLMI@MICCAI 2018: 233-240 - [c53]Guannan Li, Mingxia Liu, Quan-Sen Sun, Dinggang Shen, Li Wang:
Early Diagnosis of Autism Disease by Multi-channel CNNs. MLMI@MICCAI 2018: 303-309 - [c52]Dong Nie, Yaozong Gao, Li Wang, Dinggang Shen:
ASDNet: Attention Based Semi-supervised Deep Networks for Medical Image Segmentation. MICCAI (4) 2018: 370-378 - [c51]Li Wang, Gang Li, Feng Shi, Xiaohuan Cao, Chunfeng Lian, Dong Nie, Mingxia Liu, Han Zhang, Guannan Li, Zhengwang Wu, Weili Lin, Dinggang Shen:
Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis. MICCAI (3) 2018: 411-419 - [c50]Sihang Zhou, Dong Nie, Ehsan Adeli, Yaozong Gao, Li Wang, Jianping Yin, Dinggang Shen:
Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks. MICCAI (4) 2018: 488-496 - [c49]Zhengwang Wu, Gang Li, Li Wang, Feng Shi, Weili Lin, John H. Gilmore, Dinggang Shen:
Registration-Free Infant Cortical Surface Parcellation Using Deep Convolutional Neural Networks. MICCAI (3) 2018: 672-680 - [c48]Miaoyun Zhao, Li Wang, Jiawei Chen, Dong Nie, Yulai Cong, Sahar Ahmad, Angela Ho, Peng Yuan, Steve H. Fung, Hannah H. Deng, James J. Xia, Dinggang Shen:
Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning. MICCAI (4) 2018: 720-727 - [i2]Xiaohuan Cao, Jianhua Yang, Li Wang, Zhong Xue, Qian Wang, Dinggang Shen:
Deep Learning based Inter-Modality Image Registration Supervised by Intra-Modality Similarity. CoRR abs/1804.10735 (2018) - 2017
- [j21]Pei Dong, Li Wang, Weili Lin, Dinggang Shen, Guorong Wu:
Scalable joint segmentation and registration framework for infant brain images. Neurocomputing 229: 54-62 (2017) - [j20]Xiaofeng Zhu, Heung-Il Suk, Li Wang, Seong-Whan Lee, Dinggang Shen:
A novel relational regularization feature selection method for joint regression and classification in AD diagnosis. Medical Image Anal. 38: 205-214 (2017) - [c47]Dingna Duan, Shunren Xia, Yu Meng, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Exploring Gyral Patterns of Infant Cortical Folding Based on Multi-view Curvature Information. MICCAI (1) 2017: 12-20 - [c46]Zhengwang Wu, Gang Li, Yu Meng, Li Wang, Weili Lin, Dinggang Shen:
4D Infant Cortical Surface Atlas Construction Using Spherical Patch-Based Sparse Representation. MICCAI (1) 2017: 57-65 - [c45]Gang Li, Li Wang, Weili Lin, Dinggang Shen:
Developmental Patterns Based Individualized Parcellation of Infant Cortical Surface. MICCAI (1) 2017: 66-74 - [c44]Dong Nie, Li Wang, Roger Trullo, Jianfu Li, Peng Yuan, James J. Xia, Dinggang Shen:
Segmentation of Craniomaxillofacial Bony Structures from MRI with a 3D Deep-Learning Based Cascade Framework. MLMI@MICCAI 2017: 266-273 - [c43]Jun Zhang, Mingxia Liu, Li Wang, Si Chen, Peng Yuan, Jianfu Li, Steve Guo-Fang Shen, Zhen Tang, Ken-Chung Chen, James J. Xia, Dinggang Shen:
Joint Craniomaxillofacial Bone Segmentation and Landmark Digitization by Context-Guided Fully Convolutional Networks. MICCAI (2) 2017: 720-728 - [i1]Jose Dolz, Christian Desrosiers, Li Wang, Jing Yuan, Dinggang Shen, Ismail Ben Ayed:
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation. CoRR abs/1712.05319 (2017) - 2016
- [j19]Zhenyu Shu, Chengwu Qi, Shi-Qing Xin, Chao Hu, Li Wang, Yu Zhang, Ligang Liu:
Unsupervised 3D shape segmentation and co-segmentation via deep learning. Comput. Aided Geom. Des. 43: 39-52 (2016) - [j18]Chunjun Qian, Li Wang, Yaozong Gao, Ambereen Yousuf, Xiaoping Yang, Aytekin Oto, Dinggang Shen:
In vivo MRI based prostate cancer localization with random forests and auto-context model. Comput. Medical Imaging Graph. 52: 44-57 (2016) - [j17]Jun Zhang, Yaozong Gao, Li Wang, Zhen Tang, James J. Xia, Dinggang Shen:
Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model and Multiscale Statistical Features. IEEE Trans. Biomed. Eng. 63(9): 1820-1829 (2016) - [j16]Tri Huynh, Yaozong Gao, Jiayin Kang, Li Wang, Pei Zhang, Jun Lian, Dinggang Shen:
Estimating CT Image From MRI Data Using Structured Random Forest and Auto-Context Model. IEEE Trans. Medical Imaging 35(1): 174-183 (2016) - [j15]Yuyao Zhang, Feng Shi, Guorong Wu, Li Wang, Pew-Thian Yap, Dinggang Shen:
Consistent Spatial-Temporal Longitudinal Atlas Construction for Developing Infant Brains. IEEE Trans. Medical Imaging 35(12): 2568-2577 (2016) - [c42]Dong Nie, Li Wang, Yaozong Gao, Dinggang Shen:
Fully convolutional networks for multi-modality isointense infant brain image segmentation. ISBI 2016: 1342-1345 - [c41]Yanrong Guo, Pei Dong, Shijie Hao, Li Wang, Guorong Wu, Dinggang Shen:
Automatic Segmentation of Hippocampus for Longitudinal Infant Brain MR Image Sequence by Spatial-Temporal Hypergraph Learning. Patch-MI@MICCAI 2016: 1-8 - [c40]Yu Meng, Gang Li, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen:
Discovering Cortical Folding Patterns in Neonatal Cortical Surfaces Using Large-Scale Dataset. MICCAI (1) 2016: 10-18 - [c39]Li Wang, Yaozong Gao, Gang Li, Feng Shi, Weili Lin, Dinggang Shen:
LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images. MCV/BAMBI@MICCAI 2016: 26-34 - [c38]Li Wang, Yanrong Guo, Xiaohuan Cao, Guorong Wu, Dinggang Shen:
Consistent Multi-Atlas Hippocampus Segmentation for Longitudinal MR Brain Images with Temporal Sparse Representation. Patch-MI@MICCAI 2016: 34-42 - [c37]Dong Nie, Xiaohuan Cao, Yaozong Gao, Li Wang, Dinggang Shen:
Estimating CT Image from MRI Data Using 3D Fully Convolutional Networks. LABELS/DLMIA@MICCAI 2016: 170-178 - [c36]Renping Yu, Minghui Deng, Pew-Thian Yap, Zhihui Wei, Li Wang, Dinggang Shen:
Learning-Based 3T Brain MRI Segmentation with Guidance from 7T MRI Labeling. MLMI@MICCAI 2016: 213-220 - [c35]Shijie Hao, Gang Li, Li Wang, Yu Meng, Dinggang Shen:
Learning-Based Topological Correction for Infant Cortical Surfaces. MICCAI (1) 2016: 219-227 - [e2]Li Wang, Ehsan Adeli, Qian Wang, Yinghuan Shi, Heung-Il Suk:
Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings. Lecture Notes in Computer Science 10019, 2016, ISBN 978-3-319-47156-3 [contents] - 2015
- [j14]Gang Li, Li Wang, Feng Shi, John H. Gilmore, Weili Lin, Dinggang Shen:
Construction of 4D high-definition cortical surface atlases of infants: Methods and applications. Medical Image Anal. 25(1): 22-36 (2015) - [j13]Li Wang, Yaozong Gao, Feng Shi, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen:
LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images. NeuroImage 108: 160-172 (2015) - [j12]Wenlu Zhang, Rongjian Li, Houtao Deng, Li Wang, Weili Lin, Shuiwang Ji, Dinggang Shen:
Deep convolutional neural networks for multi-modality isointense infant brain image segmentation. NeuroImage 108: 214-224 (2015) - [c34]Guangkai Ma, Yaozong Gao, Li Wang, Ligang Wu, Dinggang Shen:
Soft-Split Random Forest for Anatomy Labeling. MLMI 2015: 17-25 - [c33]Li Wang, Feng Shi, Yaozong Gao, Gang Li, Weili Lin, Dinggang Shen:
Isointense Infant Brain Segmentation by Stacked Kernel Canonical Correlation Analysis. Patch-MI@MICCAI 2015: 28-36 - [c32]Zuoyong Li, Le An, Jun Zhang, Li Wang, James J. Xia, Dinggang Shen:
Craniomaxillofacial Deformity Correction via Sparse Representation in Coherent Space. MLMI 2015: 69-76 - [c31]Li Wang, Yaozong Gao, Feng Shi, Gang Li, Ken-Chung Chen, Zhen Tang, James J. Xia, Dinggang Shen:
Automated Segmentation of CBCT Image with Prior-Guided Sequential Random Forest. MCV@MICCAI 2015: 72-82 - [c30]Hongkun Ge, Guorong Wu, Li Wang, Yaozong Gao, Dinggang Shen:
Hierarchical Multi-modal Image Registration by Learning Common Feature Representations. MLMI 2015: 203-211 - [c29]Tri Huynh, Yaozong Gao, Jiayin Kang, Li Wang, Pei Zhang, Dinggang Shen:
Multi-source Information Gain for Random Forest: An Application to CT Image Prediction from MRI Data. MLMI 2015: 321-329 - [c28]Gang Li, Li Wang, John H. Gilmore, Weili Lin, Dinggang Shen:
Parcellation of Infant Surface Atlas Using Developmental Trajectories of Multidimensional Cortical Attributes. MICCAI (3) 2015: 543-550 - [c27]Jun Zhang, Yaozong Gao, Li Wang, Zhen Tang, James J. Xia, Dinggang Shen:
Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model. MICCAI (3) 2015: 661-668 - [e1]Luping Zhou, Li Wang, Qian Wang, Yinghuan Shi:
Machine Learning in Medical Imaging - 6th International Workshop, MLMI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Proceedings. Lecture Notes in Computer Science 9352, Springer 2015, ISBN 978-3-319-24887-5 [contents] - 2014
- [j11]Gang Li, Li Wang, Feng Shi, Weili Lin, Dinggang Shen:
Simultaneous and consistent labeling of longitudinal dynamic developing cortical surfaces in infants. Medical Image Anal. 18(8): 1274-1289 (2014) - [j10]Li Wang, Feng Shi, Gang Li, Yaozong Gao, Weili Lin, John H. Gilmore, Dinggang Shen:
Segmentation of neonatal brain MR images using patch-driven level sets. NeuroImage 84: 141-158 (2014) - [j9]Li Wang, Feng Shi, Yaozong Gao, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen:
Integration of sparse multi-modality representation and anatomical constraint for isointense infant brain MR image segmentation. NeuroImage 89: 152-164 (2014) - [j8]Gang Li, Jingxin Nie, Li Wang, Feng Shi, John H. Gilmore, Weili Lin, Dinggang Shen:
Measuring the dynamic longitudinal cortex development in infants by reconstruction of temporally consistent cortical surfaces. NeuroImage 90: 266-279 (2014) - [c26]Qian Wang, Guorong Wu, Li Wang, Pengfei Shi, Weili Lin, Dinggang Shen:
Sparsity-Learning-Based Longitudinal MR Image Registration for Early Brain Development. MLMI 2014: 1-8 - [c25]Guorong Wu, Li Wang, John H. Gilmore, Weili Lin, Dinggang Shen:
Joint Segmentation and Registration for Infant Brain Images. MCV 2014: 13-21 - [c24]Li Wang, Yaozong Gao, Feng Shi, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen:
LINKS: Learning-Based Multi-source IntegratioN FrameworK for Segmentation of Infant Brain Images. MCV 2014: 22-33 - [c23]Feng Shi, Jian Cheng, Li Wang, Pew-Thian Yap, Dinggang Shen:
Longitudinal Guided Super-Resolution Reconstruction of Neonatal Brain MR Images. STIA 2014: 67-76 - [c22]Yi Ren, Li Wang, Yaozong Gao, Zhen Tang, Ken-Chung Chen, Jianfu Li, Steve Guo-Fang Shen, Jin Yan, Philip K. M. Lee, Ben Chow, James J. Xia, Dinggang Shen:
Estimating Anatomically-Correct Reference Model for Craniomaxillofacial Deformity via Sparse Representation. MICCAI (2) 2014: 73-80 - [c21]Gang Li, Li Wang, Feng Shi, Weili Lin, Dinggang Shen:
Constructing 4D Infant Cortical Surface Atlases Based on Dynamic Developmental Trajectories of the Cortex. MICCAI (3) 2014: 89-96 - [c20]Yaozong Gao, Li Wang, Yeqin Shao, Dinggang Shen:
Learning Distance Transform for Boundary Detection and Deformable Segmentation in CT Prostate Images. MLMI 2014: 93-100 - [c19]Xuchu Wang, Li Wang, Heung-Il Suk, Dinggang Shen:
Online Discriminative Multi-atlas Learning for Isointense Infant Brain Segmentation. MLMI 2014: 297-305 - [c18]Rongjian Li, Wenlu Zhang, Heung-Il Suk, Li Wang, Jiang Li, Dinggang Shen, Shuiwang Ji:
Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis. MICCAI (3) 2014: 305-312 - [c17]Chunjun Qian, Li Wang, Ambereen Yousuf, Aytekin Oto, Dinggang Shen:
In Vivo MRI Based Prostate Cancer Identification with Random Forests and Auto-context Model. MLMI 2014: 314-322 - 2013
- [j7]Li Wang, Xiong Zhang, Xuefei Zhong, Yu Zhang:
Analysis and classification of speech imagery EEG for BCI. Biomed. Signal Process. Control. 8(6): 901-908 (2013) - [j6]Minjeong Kim, Guorong Wu, Wei Li, Li Wang, Young-Don Son, Zang-Hee Cho, Dinggang Shen:
Automatic hippocampus segmentation of 7.0 Tesla MR images by combining multiple atlases and auto-context models. NeuroImage 83: 335-345 (2013) - [j5]Yakang Dai, Feng Shi, Li Wang, Guorong Wu, Dinggang Shen:
iBEAT: A Toolbox for Infant Brain Magnetic Resonance Image Processing. Neuroinformatics 11(2): 211-225 (2013) - [c16]Li Wang, Xiong Zhang, Yu Zhang:
Extending motor imagery by speech imagery for brain-computer interface. EMBC 2013: 7056-7059 - [c15]Li Wang, Feng Shi, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen:
Patch-driven neonatal brain MRI segmentation with sparse representation and level sets. ISBI 2013: 1090-1093 - [c14]Gang Li, Jingxin Nie, Li Wang, Feng Shi, John H. Gilmore, Weili Lin, Dinggang Shen:
Measuring longitudinally dynamic cortex development in infants by reconstruction of consistent cortical surfaces. ISBI 2013: 1380-1383 - [c13]Gang Li, Li Wang, Feng Shi, Weili Lin, Dinggang Shen:
Multi-atlas Based Simultaneous Labeling of Longitudinal Dynamic Cortical Surfaces in Infants. MICCAI (1) 2013: 58-65 - [c12]Feng Shi, Jian Cheng, Li Wang, Pew-Thian Yap, Dinggang Shen:
Low-Rank Total Variation for Image Super-Resolution. MICCAI (1) 2013: 155-162 - [c11]Li Wang, Ken-Chung Chen, Feng Shi, Shu Liao, Gang Li, Yaozong Gao, Steve G. Shen, Jin Yan, Philip K. M. Lee, Ben Chow, Nancy X. Liu, James J. Xia, Dinggang Shen:
Automated Segmentation of CBCT Image Using Spiral CT Atlases and Convex Optimization. MICCAI (3) 2013: 251-258 - [c10]Li Wang, Feng Shi, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen:
Integration of Sparse Multi-modality Representation and Geometrical Constraint for Isointense Infant Brain Segmentation. MICCAI (1) 2013: 703-710 - 2012
- [j4]Feng Shi, Li Wang, Yakang Dai, John H. Gilmore, Weili Lin, Dinggang Shen:
LABEL: Pediatric brain extraction using learning-based meta-algorithm. NeuroImage 62(3): 1975-1986 (2012) - [c9]Li Wang, Feng Shi, Gang Li, Dinggang Shen:
4D Segmentation of Longitudinal Brain MR Images with Consistent Cortical Thickness Measurement. STIA 2012: 63-75 - [c8]Feng Shi, Li Wang, Guorong Wu, Yu Zhang, Manhua Liu, John H. Gilmore, Weili Lin, Dinggang Shen:
Atlas Construction via Dictionary Learning and Group Sparsity. MICCAI (1) 2012: 247-255 - 2011
- [j3]Li Wang, Feng Shi, Weili Lin, John H. Gilmore, Dinggang Shen:
Automatic segmentation of neonatal images using convex optimization and coupled level sets. NeuroImage 58(3): 805-817 (2011) - [c7]Li Wang, Feng Shi, Pew-Thian Yap, John H. Gilmore, Weili Lin, Dinggang Shen:
Accurate and Consistent 4D Segmentation of Serial Infant Brain MR Images. MBIA 2011: 93-101 - [c6]Minjeong Kim, Guorong Wu, Wei Li, Li Wang, Young-Don Son, Zang-Hee Cho, Dinggang Shen:
Segmenting Hippocampus from 7.0 Tesla MR Images by Combining Multiple Atlases and Auto-Context Models. MLMI 2011: 100-108 - [c5]Feng Shi, Li Wang, John H. Gilmore, Weili Lin, Dinggang Shen:
Learning-Based Meta-Algorithm for MRI Brain Extraction. MICCAI (3) 2011: 313-321 - 2010
- [c4]Li Wang, Feng Shi, John H. Gilmore, Weili Lin, Dinggang Shen:
Automatic Segmentation of Neonatal Images Using Convex Optimization and Coupled Level Set Method. MIAR 2010: 1-10
2000 – 2009
- 2009
- [j2]Li Wang, Chunming Li, Quan-Sen Sun, De-Shen Xia, Chiu-Yen Kao:
Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation. Comput. Medical Imaging Graph. 33(7): 520-531 (2009) - [j1]Li Wang, Lei He, Arabinda Mishra, Chunming Li:
Active contours driven by local Gaussian distribution fitting energy. Signal Process. 89(12): 2435-2447 (2009) - [c3]Li Wang, Jim Macione, Quan-Sen Sun, De-Shen Xia, Chunming Li:
Level Set Segmentation Based on Local Gaussian Distribution Fitting. ACCV (1) 2009: 293-302 - [c2]Chunming Li, Chris Gatenby, Li Wang, John C. Gore:
A robust parametric method for bias field estimation and segmentation of MR images. CVPR 2009: 218-223 - 2008
- [c1]Li Wang, Chunming Li, Quan-Sen Sun, De-Shen Xia, Chiu-Yen Kao:
Brain MR Image Segmentation Using Local and Global Intensity Fitting Active Contours/Surfaces. MICCAI (1) 2008: 384-392
Coauthor Index
[j69] [j67] [c122] [c121] [c118] [c117] [c115] [c114] [j64] [j63] [j62] [j61] [j60] [j59] [c113] [c111] [c110] [c109] [c108] [j55] [j54] [j52] [j51] [j50] [j47] [j46] [j45] [c105] [c104] [c103] [c102] [c101] [c100] [c99] [j38] [c98] [c97] [c96] [c95] [c94] [c93] [c92] [c90] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [i6] [j34] [j33] [j32] [j31] [j30] [j27] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [c69] [c68] [c67] [c65] [c64] [c63] [c61] [i5] [i4] [j25] [c60] [c59] [c57] [c55] [c54] [c51] [c49] [c47] [c46] [c45] [c40] [c39] [c35] [j14] [j13] [c33] [c31] [c28] [j11] [j10] [j9] [j8] [c24] [c21] [c15] [c14] [c13] [c11] [c10] [c9]
[j67] [j66] [c122] [c121] [c119] [c118] [c117] [c115] [c114] [j63] [j61] [j60] [j59] [c113] [c111] [c110] [c109] [c108] [i9] [j55] [j52] [j50] [j47] [j46] [j45] [c105] [c104] [c103] [c102] [c101] [c99] [j38] [c96] [c94] [c92] [c90] [c89] [c88] [c84] [c83] [i6] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [j28] [j27] [c79] [c78] [c77] [c76] [c75] [c73] [c68] [c67] [c65] [c64] [c63] [c61] [i5] [i4] [j25] [c60] [c57] [c55] [c54] [c51] [c49] [j21] [c47] [c46] [c45] [c40] [c39] [j14] [j13] [j12] [c33] [c28] [j11] [j10] [j9] [j8] [c26] [c25] [c24] [c21] [c15] [c14] [c13] [c10] [j4] [c8] [j3] [c7] [c5] [c4]
[j68] [j65] [j62] [j61] [j58] [j57] [j56] [j53] [j52] [j51] [j49] [j48] [j47] [j46] [j45] [i8] [j44] [j43] [j42] [j40] [j39] [j38] [c97] [c96] [c94] [c93] [c92] [c91] [c90] [c89] [c88] [c87] [c86] [c85] [c84] [c81] [i6] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [i5] [i4] [j25] [j24] [j23] [j22] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [i2] [j21] [j20] [c47] [c46] [c45] [c44] [c43] [i1] [j18] [j17] [j16] [j15] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [j14] [j13] [j12] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [j11] [j10] [j9] [j8] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [j6] [j5] [c15] [c14] [c13] [c12] [c11] [c10] [j4] [c9] [c8] [j3] [c7] [c6] [c5] [c4]
[j69] [j67] [j66] [c122] [c121] [c119] [c118] [c117] [c115] [c114] [i12] [j64] [j63] [j62] [j61] [j60] [j59] [c113] [c111] [c110] [c109] [c108] [i9] [j52] [j51] [j50] [j47] [j46] [j45] [c105] [c103] [c102] [c101] [c100] [c99] [j38] [c98] [c97] [c94] [c92] [c90] [c89] [c88] [c84] [i6] [j34] [j33] [j31] [j30] [j27] [c79] [c78] [c77] [c76] [c73] [c65] [c64] [c63] [c61] [i5] [j25] [c60] [c59] [c57] [c51] [c49] [c46]
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