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ORCIDGang Li 0001
Person information
- affiliation: University of North Carolina at Chapel Hill, Department of Radiology and BRIC, NC, USA
- affiliation (former): Northwestern Polytechnical University, School of Automation, Xi'an, China
Other persons with the same name
- Gang Li — disambiguation page
- Gang Li 0002
![[0000-0002-8573-1608]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8573-1608")
— Tianjin University, Tianjin Key Laboratory of Biomedical Detecting Techniques and Instruments, China - Gang Li 0003 — Dalian University of Technology, Faculty of Infrastructure Engineering, China
- Gang Li 0004 — Hong Kong Baptist University, Kowloon Tong, Hong Kong (and 1 more)
- Gang Li 0005 — Harbin Institute of Technology, Department of Management Science and Engineering, Nangang, China (and 1 more)
- Gang Li 0006 — GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel, Germany (and 1 more)
- Gang Li 0007 — University of California at Los Angeles, Department of Biostatistics, School of Public Health, CA, USA
- Gang Li 0008 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Gang Li 0009 — Deakin University, School of Information Technology, TULIP Lab, Melbourne, Australia
- Gang Li 0010 — Zhejiang University of Science and Technology, School of Automation and Electrical Engineering, Hangzhou, China (and 2 more)
- Gang Li 0011 — University of Glasgow, School of Psychology and Neuroscience, UK (and 2 more)
- Gang Li 0012 — Microsoft Research Asia, Beijing, China
- Gang Li 0013 — Zhejiang Normal University, College of Engineering, China
- Gang Li 0014 — South China University of Technology, School of Computer Science and Engineering, Guangzhou, China
- Gang Li 0015 — Shanghai Jiao Tong University, China (and 1 more)
- Gang Li 0016 — Chinese University of Hong Kong, Hong Kong
- Gang Li 0017 — Tianjin University, School of Precision Instruments and Opto-Electronics Engineering, State Key Laboratory of Precision Measurement Technology and Instrument, China
- Gang Li 0018 — Johns Hopkins University, Laboratory for Computational Sensing and Robotics, Baltimore, MD, USA (and 1 more)
- Gang Li 0019 — Xi'an Jiaotong University, School of Management, State Key Lab for Manufacturing Systems Engineering / Moe State Key Lab for Process Control & Efficiency Engineering, China
- Gang Li 0020 — Tongji University, College of Electronics and Information Engineering, Shanghai, China
- Gang Li 0021 — Google Research, Mountain View, CA, USA (and 1 more)
- Gang Li 0022 — Qingdao University, School of Mathematics and Statistics, China
- Gang Li 0023 — University of Electronic Science and Technology of China, School of Information and Communications Engineering, Chengdu, China
- Gang Li 0024 — ShanghaiTech University, School of Physical Science and Technology, China (and 1 more)
- Gang Li 0025 — Chang'an University, School of Information Engineering, Xi'an, China
- Gang Li 0026 — Shandong University of Traditional Chinese Medicine, First Clinical Medical School, China
- Gang Li 0027 — Beijing University of Posts and Telecommunications, School of Economics and Management, China
- Gang Li 0028 — University of Manitoba, Department of Electrical and Computer Engineering, Winnipeg, MB, Canada (and 2 more)
- Gang Li 0029 — Chang'an University, Department of Automation, School of Electronics and Control Engineering / MoE Key Laboratory of Road Construction Technology and Equipment, Xi'an, China
- Gang Li 0030 — University of Science and Technology of China, CAS Key Laboratory of Electromagnetic Space Information, Hefei, China
- Gang Li 0031 — Jilin University, Changchun, China (and 1 more)
- Gang Li 0032 — Nanjing University of Information Science and Technology, School of Marine Sciences, China
- Gang Li 0033 — Xinjiang Vocational and Technical College of Communications, Ürümqi, China
- Gang Li 0034 — University of Washington at Seattle, Department of Genome Sciences, WA, USA (and 1 more)
- Gang Li 0036 — University of Alberta, Advanced Control Systems Laboratory, Department of Electrical and Computer Engineering, Edmonton, AB, Canada
- Gang Li 0037 — Qilu University of Technology, School of Mathematics and Statistics, Shandong Academy of Sciences, Jinan, China
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Journal Articles
- 2024
[j59]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
- [j58]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) - [j57]Liang Sun, Wei Shao, Qi Zhu, Meiling Wang, Gang Li, Daoqiang Zhang:
Multi-scale multi-hierarchy attention convolutional neural network for fetal brain extraction. Pattern Recognit. 133: 109029 (2023) - 2022
- [j56]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) - [j55]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) - [j54]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) - [j53]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) - [j52]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) - [j51]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) - 2021
- [j50]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) - [j49]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) - [j48]Olfa Ghribi, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik:
Multi-Regression based supervised sample selection for predicting baby connectome evolution trajectory from neonatal timepoint. Medical Image Anal. 68: 101853 (2021) - [j47]Lu Zhang, Li Wang, Jean Gao, Shannon L. Risacher, Jingwen Yan, Gang Li, Tianming Liu, Dajiang Zhu:
Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment. Medical Image Anal. 72: 102082 (2021) - [j46]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) - [j45]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) - [j44]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) - [j43]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) - [j42]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) - [j41]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) - 2020
- [j40]Zongcheng Yue, Gang Li, Xiangyuan Jiang, Shuai Li, Jian Cheng, Peng Ren:
A Hardware Descriptive Approach to Beetle Antennae Search. IEEE Access 8: 89059-89070 (2020) - [j39]Oualid M. Benkarim, Gemma Piella, Islem Rekik, Nadine Hahner, Elisenda Eixarch, Dinggang Shen, Gang Li, Miguel Ángel González Ballester, Gerard Sanroma:
A novel approach to multiple anatomical shape analysis: Application to fetal ventriculomegaly. Medical Image Anal. 64: 101750 (2020) - [j38]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) - [j37]Dan Hu, Zhengwang Wu, Weili Lin, Gang Li, Dinggang Shen:
Hierarchical Rough-to-Fine Model for Infant Age Prediction Based on Cortical Features. IEEE J. Biomed. Health Informatics 24(1): 214-225 (2020) - [j36]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) - 2019
- [j35]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) - [j34]Xuyun Wen, Han Zhang, Gang Li, Mingxia Liu, Weiyan Yin, Weili Lin, Jun Zhang, Dinggang Shen:
First-year development of modules and hubs in infant brain functional networks. NeuroImage 185: 222-235 (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]Ehsan Adeli, Yu Meng, Gang Li, Weili Lin, Dinggang Shen:
Multi-task prediction of infant cognitive scores from longitudinal incomplete neuroimaging data. NeuroImage 185: 783-792 (2019) - [j31]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) - [j30]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) - [j29]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) - [j28]Changqing Zhang, Ehsan Adeli, Zhengwang Wu, Gang Li, Weili Lin, Dinggang Shen:
Infant Brain Development Prediction With Latent Partial Multi-View Representation Learning. IEEE Trans. Medical Imaging 38(4): 909-918 (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) - 2018
- [j26]Ping He, Xiaohua Xu, Han Zhang, Gang Li, Jingxin Nie, Pew-Thian Yap, Dinggang Shen:
Spatiotemporal Analysis of Developing Brain Networks. Frontiers Neuroinformatics 12: 48 (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) - 2017
- [j24]Islem Rekik, Gang Li, Weili Lin, Dinggang Shen:
Erratum to "Predicting Infant Cortical Surface Development Using a 4D Varifold-based Learning Framework and Local Topography-based Shape Morphing" [Med. Image Anal. 28 (2016)1-12]. Medical Image Anal. 36: 1 (2017) - [j23]Hanbo Chen, Yujie Li, Fangfei Ge, Gang Li, Dinggang Shen, Tianming Liu:
Gyral net: A new representation of cortical folding organization. Medical Image Anal. 42: 14-25 (2017) - [j22]Islem Rekik, Gang Li, Pew-Thian Yap, Geng Chen, Weili Lin, Dinggang Shen:
Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI. NeuroImage 152: 411-424 (2017) - 2016
- [j21]Islem Rekik, Gang Li, Weili Lin, Dinggang Shen:
Predicting infant cortical surface development using a 4D varifold-based learning framework and local topography-based shape morphing. Medical Image Anal. 28: 1-12 (2016) - [j20]Islem Rekik, Gang Li, Weili Lin, Dinggang Shen:
Multidirectional and Topography-based Dynamic-scale Varifold Representations with Application to Matching Developing Cortical Surfaces. NeuroImage 135: 152-162 (2016) - 2015
- [j19]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) - [j18]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) - 2014
- [j17]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) - [j16]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) - [j15]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) - [j14]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) - [j13]Yu Meng, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen:
Spatial distribution and longitudinal development of deep cortical sulcal landmarks in infants. NeuroImage 100: 206-218 (2014) - 2013
- [j12]Jingxin Nie, Gang Li, Dinggang Shen:
Development of cortical anatomical properties from early childhood to early adulthood. NeuroImage 76: 216-224 (2013) - 2012
- [j11]Gang Li, Lei Guo:
Improving segmentation of 3D touching cell nuclei using flow tracking on surface meshes. Int. J. Comput. Biol. Drug Des. 5(1): 66-74 (2012) - [j10]Gang Li, Jingxin Nie, Guorong Wu, Yaping Wang, Dinggang Shen:
Consistent reconstruction of cortical surfaces from longitudinal brain MR images. NeuroImage 59(4): 3805-3820 (2012) - 2011
- [j9]Gang Li, Dinggang Shen:
Consistent sulcal parcellation of longitudinal cortical surfaces. NeuroImage 57(1): 76-88 (2011) - 2010
- [j8]Gang Li, Lei Guo, Jingxin Nie, Tianming Liu:
An automated pipeline for cortical sulcal fundi extraction. Medical Image Anal. 14(3): 343-359 (2010) - [j7]Kaiming Li, Lei Guo, Gang Li, Jingxin Nie, Carlos Faraco, Guangbin Cui, Qun Zhao, L. Stephen Miller, Tianming Liu:
Gyral folding pattern analysis via surface profiling. NeuroImage 52(4): 1202-1214 (2010) - 2009
- [j6]Kaiming Li, Lei Guo, Jingxin Nie, Gang Li, Tianming Liu:
Review of methods for functional brain connectivity detection using fMRI. Comput. Medical Imaging Graph. 33(2): 131-139 (2009) - [j5]Gang Li, Lei Guo, Tianming Liu:
Deformation invariant attribute vector for deformable registration of longitudinal brain MR images. Comput. Medical Imaging Graph. 33(5): 384-398 (2009) - [j4]Gang Li, Lei Guo, Jingxin Nie, Tianming Liu:
Automatic cortical sulcal parcellation based on surface principal direction flow field tracking. NeuroImage 46(4): 923-937 (2009) - 2008
- [j3]Tianming Liu, Jingxin Nie, Gang Li, Lei Guo, Stephen T. C. Wong:
ZFIQ: a software package for zebrafish biology. Bioinform. 24(3): 438-439 (2008) - [j2]Tianming Liu, Gang Li, Jingxin Nie, Ashley Tarokh, Xiaobo Zhou, Lei Guo, Jarema Malicki, Weiming Xia, Stephen T. C. Wong:
An Automated Method for Cell Detection in Zebrafish. Neuroinformatics 6(1): 5-21 (2008) - 2007
- [j1]Jingxin Nie, Tianming Liu, Gang Li, Geoffrey S. Young, Ashley Tarokh, Lei Guo, Stephen T. C. Wong:
Least-square conformal brain mapping with spring energy. Comput. Medical Imaging Graph. 31(8): 656-664 (2007)
Conference and Workshop Papers
- 2023
- [c121]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 - [c120]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 - [c119]Michalis Pistos, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik:
Federated Multi-trajectory GNNs Under Data Limitations for Baby Brain Connectivity Forecasting. PRIME@MICCAI 2023: 120-133 - [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]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 - [c115]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 - [c114]Kangfu Han, Fenqiang Zhao, Dajiang Zhu, Tianming Liu, Feng Yang, Gang Li:
Towards Unified Modality Understanding for Alzheimer's Disease Diagnosis Using Incomplete Multi-modality Data. MLMI@MICCAI (2) 2023: 184-193 - 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]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 - [c111]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 - [c110]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 - [c109]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 - 2021
- [c108]Alaa Bessadok, Ahmed Nebli, Mohamed Ali Mahjoub, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik:
A Few-Shot Learning Graph Multi-trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint. PRIME@MICCAI 2021: 11-24 - [c107]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 - [c106]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 - [c105]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 - [c104]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 - [c103]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 - [c102]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 - [c101]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 - 2020
- [c100]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 - [c99]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 - [c98]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 - [c97]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 - [c96]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 - [c95]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 - [c94]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 - [c93]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 - [c92]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 - [c91]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 - [c90]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 - [c89]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 - [c88]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 - [c87]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 - [c86]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 - 2019
- [c85]Peirong Liu, Zhengwang Wu, Gang Li, Pew-Thian Yap, Dinggang Shen:
Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces. IPMI 2019: 277-288 - [c84]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 - [c83]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 - [c82]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 - [c81]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 - [c80]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 - [c79]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 - [c78]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 - [c77]Olfa Ghribi, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik:
Progressive Infant Brain Connectivity Evolution Prediction from Neonatal MRI Using Bidirectionally Supervised Sample Selection. PRIME@MICCAI 2019: 63-72 - [c76]Dan Hu, Han Zhang, Zhengwang Wu, Weili Lin, Gang Li, Dinggang Shen:
Deep Granular Feature-Label Distribution Learning for Neuroimaging-Based Infant Age Prediction. MICCAI (4) 2019: 149-157 - [c75]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 - [c74]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 - [c73]Dongming Wei, Sahar Ahmad, Zhengwang Wu, Xiaohuan Cao, Xuhua Ren, Gang Li, Dinggang Shen, Qian Wang:
Morphological Simplification of Brain MR Images by Deep Learning for Facilitating Deformable Registration. MLMI@MICCAI 2019: 203-211 - [c72]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 - [c71]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 - [c70]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 - [c69]Jingjiao Lou, Dengwang Li, Toan Duc Bui, Fenqiang Zhao, Liang Sun, Gang Li, Dinggang Shen:
Automatic Fetal Brain Extraction Using Multi-stage U-Net with Deep Supervision. MLMI@MICCAI 2019: 592-600 - [c68]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 - [c67]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 - 2018
- [c66]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 - [c65]Jing Xia, Caiming Zhang, Fan Wang, Oualid M. Benkarim, Gerard Sanroma, Gemma Piella, Miguel Ángel González Ballester, Nadine Hahner, Elisenda Eixarch, Dinggang Shen, Gang Li:
Fetal cortical parcellation based on growth patterns. ISBI 2018: 696-699 - [c64]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 - [c63]Islem Rekik, Gang Li, Weili Lin, Dinggang Shen:
Estimation of shape and growth brain network atlases for connectomic brain mapping in developing infants. ISBI 2018: 985-989 - [c62]Changqing Zhang, Ehsan Adeli, Zhengwang Wu, Gang Li, Weili Lin, Dinggang Shen:
Infant brain development prediction with latent partial multi-view representation learning. ISBI 2018: 1048-1051 - [c61]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 - [c60]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 - [c59]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 - [c58]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 - [c57]Islem Rekik, Gang Li, Weili Lin, Dinggang Shen:
Do Baby Brain Cortices that Look Alike at Birth Grow Alike During the First Year of Postnatal Development? MICCAI (3) 2018: 566-574 - [c56]Oualid M. Benkarim, Gerard Sanroma, Gemma Piella, Islem Rekik, Nadine Hahner, Elisenda Eixarch, Miguel Ángel González Ballester, Dinggang Shen, Gang Li:
Revealing Regional Associations of Cortical Folding Alterations with In Utero Ventricular Dilation Using Joint Spectral Embedding. MICCAI (3) 2018: 620-627 - [c55]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 - 2017
- [c54]Islem Rekik, Gang Li, Weili Lin, Dinggang Shen:
Estimation of Brain Network Atlases Using Diffusive-Shrinking Graphs: Application to Developing Brains. IPMI 2017: 385-397 - [c53]Dingna Duan, Islem Rekik, Shunren Xia, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Longitudinal multi-scale mapping of infant cortical folding using spherical wavelets. ISBI 2017: 93-96 - [c52]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 - [c51]Ehsan Adeli, Yu Meng, Gang Li, Weili Lin, Dinggang Shen:
Joint Sparse and Low-Rank Regularized Multi-Task Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data. MICCAI (1) 2017: 40-48 - [c50]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 - [c49]Gang Li, Li Wang, Weili Lin, Dinggang Shen:
Developmental Patterns Based Individualized Parcellation of Infant Cortical Surface. MICCAI (1) 2017: 66-74 - [c48]Junyi Yan, Yu Meng, Gang Li, Weili Lin, Dazhe Zhao, Dinggang Shen:
Longitudinally-Consistent Parcellation of Infant Population Cortical Surfaces Based on Functional Connectivity. MLMI@MICCAI 2017: 194-202 - 2016
- [c47]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 - [c46]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 - [c45]Islem Rekik, Gang Li, Pew-Thian Yap, Geng Chen, Weili Lin, Dinggang Shen:
A Hybrid Multishape Learning Framework for Longitudinal Prediction of Cortical Surfaces and Fiber Tracts Using Neonatal Data. MICCAI (1) 2016: 210-218 - [c44]Shijie Hao, Gang Li, Li Wang, Yu Meng, Dinggang Shen:
Learning-Based Topological Correction for Infant Cortical Surfaces. MICCAI (1) 2016: 219-227 - [c43]Xi Yang, Yan Jin, Xiaobo Chen, Han Zhang, Gang Li, Dinggang Shen:
Functional Connectivity Network Fusion with Dynamic Thresholding for MCI Diagnosis. MLMI@MICCAI 2016: 246-253 - 2015
- [c42]Islem Rekik, Gang Li, Weili Lin, Dinggang Shen:
Prediction of Longitudinal Development of Infant Cortical Surface Shape Using a 4D Current-Based Learning Framework. IPMI 2015: 576-587 - [c41]Yu Meng, Gang Li, Yaozong Gao, Dinggang Shen:
Automatic parcellation of cortical surfaces using random forests. ISBI 2015: 810-813 - [c40]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 - [c39]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 - [c38]Yu Meng, Gang Li, Yaozong Gao, John H. Gilmore, Weili Lin, Dinggang Shen:
Subject-Specific Estimation of Missing Cortical Thickness Maps in Developing Infant Brains. MCV@MICCAI 2015: 83-92 - [c37]Islem Rekik, Gang Li, Guorong Wu, Weili Lin, Dinggang Shen:
Prediction of Infant MRI Appearance and Anatomical Structure Evolution Using Sparse Patch-Based Metamorphosis Learning Framework. Patch-MI@MICCAI 2015: 197-204 - [c36]Islem Rekik, Gang Li, Weili Lin, Dinggang Shen:
Topography-Based Registration of Developing Cortical Surfaces in Infants Using Multidirectional Varifold Representation. MICCAI (2) 2015: 230-237 - [c35]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 - [c34]Yu Meng, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen:
Cortical Surface-Based Construction of Individual Structural Network with Application to Early Brain Development Study. MICCAI (3) 2015: 560-568 - 2014
- [c33]Bo Peng, Gang Li, Zhiye Chen, Bin Lv, Dinggang Shen, Lin Ma, Yakang Dai:
Detection and analysis of T2DM biomarkers from brain MR images using BrainLab. BMEI 2014: 174-178 - [c32]Yu Meng, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen:
Spatial distribution and longitudinal development of DEEP cortical sulcal landmarks in infants. ISBI 2014: 1214-1217 - [c31]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 - [c30]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 - 2013
- [c29]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 - [c28]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 - [c27]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 - [c26]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 - [c25]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 - [c24]Yaping Wang, Gang Li, Mihye Ahn, Jingxin Nie, Hongtu Zhu, Lei Guo:
Mapping longitudinal cerebral cortex development using diffusion tensor imaging. Medical Imaging: Image Processing 2013: 86692E - [c23]Yaping Wang, Gang Li, Jingxin Nie, Pew-Thian Yap, Lei Guo, Dinggang Shen:
Consistent 4D brain extraction of serial brain MR images. Medical Imaging: Image Processing 2013: 86693I - 2012
- [c22]Li Wang, Feng Shi, Gang Li, Dinggang Shen:
4D Segmentation of Longitudinal Brain MR Images with Consistent Cortical Thickness Measurement. STIA 2012: 63-75 - [c21]Gang Li, Jingxin Nie, Dinggang Shen:
Partition Cortical Surfaces into Supervertices: Method and Application. MeshMed 2012: 112-121 - [c20]Ilwoo Lyu, Gang Li, Minjeong Kim, Dinggang Shen:
Multiple Atlases-Based Joint Labeling of Human Cortical Sulcal Curves. MCV 2012: 124-132 - 2011
- [c19]Gang Li, Yang Li, Yaping Wang, Dinggang Shen:
Consistent sulcal parcellation of longitudinal cortical surfaces. ISBI 2011: 337-340 - [c18]Gang Li, Jingxin Nie, Dinggang Shen:
Consistent Reconstruction of Cortical Surfaces from Longitudinal Brain MR Images. MICCAI (2) 2011: 671-679 - 2010
- [c17]Gang Li, Lei Guo, Jingxin Nie, Kaiming Li, Tianming Liu:
Direction field diffusion on cortical surface via graph cuts. CVPR Workshops 2010: 95-102 - [c16]Yixuan Yuan, Lei Guo, Gang Li, Tuo Zhang, Xintao Hu, Tianming Liu:
Joint analysis of cortical folding pattern, thickness and fiber density using structural and DTI data. ISBI 2010: 404-407 - [c15]Kaiming Li, Lei Guo, Gang Li, Jingxin Nie, Carlos Faraco, Qun Zhao, L. Stephen Miller, Tianming Liu:
Cortical surface based identification of brain networks using high spatial resolution resting state FMRI data. ISBI 2010: 656-659 - [c14]Degang Zhang, Lei Guo, Gang Li, Jingxin Nie, Fan Deng, Kaiming Li, Xintao Hu, Tuo Zhang, Xi Jiang, Dajiang Zhu, Qun Zhao, Tianming Liu:
Automatic cortical surface parcellation based on fiber density information. ISBI 2010: 1133-1136 - [c13]Xintao Hu, Lei Guo, Tuo Zhang, Gang Li, Jingxin Nie, Xi Jiang, Degang Zhang, Tianming Liu:
Joint analysis of fiber shape and cortical folding patterns. ISBI 2010: 1165-1168 - [c12]Gang Li, Lei Guo, Tuo Zhang, Jingxin Nie, Tianming Liu:
Cortical Sulcal Bank Segmentation via Geometric Similarity Based Graph Partition. MIAR 2010: 108-117 - [c11]Gang Li, Lei Guo, Tuo Zhang, Jingxin Nie, Tianming Liu:
Automatic Cortical Gyral Parcellation Using Probabilistic Atlas and Graph Cuts. MIAR 2010: 438-447 - [c10]Xintao Hu, Lei Guo, Gang Li, Kaiming Li, Tianming Liu:
Optimal combination of multiple cortical surface parcellations. Medical Imaging: Image Processing 2010: 762342 - [c9]Gang Li, Lei Guo, Kaiming Li, Jingxin Nie, Tianming Liu:
Gyral parcellation of cortical surfaces via coupled flow field tracking. Medical Imaging: Image Processing 2010: 762348 - 2009
- [c8]Gang Li, Lei Guo, Jingxin Nie, Tianming Liu:
Automatic Cortical Sulcal Parcellation Based on Surface Principal Direction Flow Field Tracking. IPMI 2009: 202-214 - [c7]Gang Li, Lei Guo, Tianming Liu:
Grouping of Brain MR Images via Affinity Propagation. ISCAS 2009: 2425-2428 - [c6]Tuo Zhang, Lei Guo, Gang Li, Jingxin Nie, Tianming Liu:
Parametric Representation of Cortical Surface Folding Based on Polynomials. MICCAI (1) 2009: 184-191 - [c5]Kaiming Li, Lei Guo, Gang Li, Jingxin Nie, Carlos Faraco, Qun Zhao, L. Stephen Miller, Tianming Liu:
Gyral Folding Pattern Analysis via Surface Profiling. MICCAI (1) 2009: 313-320 - [c4]Jingxin Nie, Gang Li, Lei Guo, Tianming Liu:
A Computational Model of Cerebral Cortex Folding. MICCAI (1) 2009: 458-465 - 2008
- [c3]Gang Li, Tianming Liu, Jingxin Nie, Lei Guo, Stephen T. C. Wong:
A Novel Method for Cortical Sulcal Fundi Extraction. MICCAI (1) 2008: 270-278 - 2007
- [c2]Gang Li, Tianming Liu, Jingxin Nie, Lei Guo, Stephen T. C. Wong:
Segmentation of Touching Cells Using Gradient Flow Tracking. ISBI 2007: 77-80 - 2006
- [c1]Gang Li, Tianming Liu, Geoffrey S. Young, Lei Guo, Stephen T. C. Wong:
Deformation invariant attribute vector for 3D image registration: method and validation. ISBI 2006: 442-445
Editorship
- 2016
- [e1]Gang Li, Yves Demazeau, Guandong Xu, Paul Wang, Leon S. L. Wang, Guanfeng Liu:
2016 International Conference on Behavioral, Economic and Socio-cultural Computing, BESC 2016, Durham, NC, USA, November 11-13, 2016. IEEE 2016, ISBN 978-1-5090-6164-8 [contents]
Informal and Other Publications
- 2024
- [i10]Michalis Pistos, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik:
Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data. CoRR abs/2401.01383 (2024) - 2023
- [i9]Zihao Wu, Lu Zhang, Chao Cao, Xiaowei Yu, Haixing Dai, Chong Ma, Zhengliang Liu, Lin Zhao, Gang Li, Wei Liu, Quanzheng Li, Dinggang Shen, Xiang Li, Dajiang Zhu, Tianming Liu:
Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task. CoRR abs/2304.09138 (2023) - [i8]Xiang Li, Lu Zhang, Zihao Wu, Zhengliang Liu, Lin Zhao, Yixuan Yuan, Jun Liu, Gang Li, Dajiang Zhu, Pingkuan Yan, Quanzheng Li, Wei Liu, Tianming Liu, Dinggang Shen:
Artificial General Intelligence for Medical Imaging. CoRR abs/2306.05480 (2023) - [i7]Zhengliang Liu, Hanqi Jiang, Tianyang Zhong, Zihao Wu, Chong Ma, Yiwei Li, Xiaowei Yu, Yutong Zhang, Yi Pan, Peng Shu, Yanjun Lyu, Lu Zhang, Junjie Yao, Peixin Dong, Chao Cao, Zhenxiang Xiao, Jiaqi Wang, Huan Zhao, Shaochen Xu, Yaonai Wei, Jingyuan Chen, Haixing Dai, Peilong Wang, Hao He, Zewei Wang, Xinyu Wang, Xu Zhang, Lin Zhao, Yiheng Liu, Kai Zhang, Liheng Yan, Lichao Sun, Jun Liu, Ning Qiang, Bao Ge, Xiaoyan Cai, Shijie Zhao, Xintao Hu, Yixuan Yuan, Gang Li, Shu Zhang, Xin Zhang, Xi Jiang, Tuo Zhang, Dinggang Shen, Quanzheng Li, Wei Liu, Xiang Li, Dajiang Zhu, Tianming Liu:
Holistic Evaluation of GPT-4V for Biomedical Imaging. CoRR abs/2312.05256 (2023) - 2021
- [i6]Alaa Bessadok, Ahmed Nebli, Mohamed Ali Mahjoub, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik:
A Few-shot Learning Graph Multi-Trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint. CoRR abs/2110.03535 (2021) - 2020
- [i5]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) - [i4]Peirong Liu, Zhengwang Wu, Gang Li, Pew-Thian Yap, Dinggang Shen:
Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces. CoRR abs/2009.02797 (2020) - 2019
- [i3]Dongming Wei, Zhengwang Wu, Gang Li, Xiaohuan Cao, Dinggang Shen, Qian Wang:
Deep Morphological Simplification Network (MS-Net) for Guided Registration of Brain Magnetic Resonance Images. CoRR abs/1902.02342 (2019) - [i2]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) - [i1]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)
Coauthor Index
[j58] [j55] [j53] [j52] [j51] [j50] [j48] [j46] [j44] [j43] [j42] [j41] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [j25] [j24] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [c121] [c120] [c119] [c118] [c117] [c116] [c115] [c113] [c112] [c111] [c110] [c109] [c108] [c107] [c106] [c105] [c104] [c103] [c101] [c98] [c96] [c94] [c93] [c92] [c91] [c87] [c86] [c84] [c83] [c82] [c81] [c80] [c78] [c77] [c76] [c74] [c72] [c71] [c70] [c68] [c67] [c66] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c42] [c40] [c38] [c37] [c36] [c35] [c34] [c32] [c31] [c30] [c29] [c28] [c27] [c25] [i10] [i6] [i5] [i2] [i1]
[j54] [j53] [j48] [j46] [j45] [j43] [j42] [j41] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j10] [j9] [c119] [c108] [c99] [c98] [c96] [c95] [c94] [c93] [c92] [c91] [c90] [c89] [c88] [c87] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c23] [c22] [c21] [c20] [c19] [c18] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
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