Gang Li - RankMe

236 papers B 5C 1Journal 91Unranked 138

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Incomplete Multi-Modal Disentanglement Learning With Application to Alzheimer's Disease Diagnosis. IEEE Trans. Medical Imaging Kangfu Han, Dan Hu, Fenqiang Zhao, Tianming Liu, Feng Yang, Gang Li
2026	J	`jnl`	Large language models for bioinformatics. Quant. Biol. Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu
2026	J	`jnl`	Triplet longitudinal masked autoencoder for predicting individualized functional connectome development during infancy. Medical Image Anal. Weiran Xia, Xin Zhang, Dan Hu, Jiale Cheng, Xiaowei Yu, Weiyan Yin, Zhengwang Wu, Li Wang, Weili Lin, Gang Li
2025	J	`jnl`	Calibrated multi-view graph learning framework for infant cognitive abilities prediction. Biomed. Signal Process. Control. Tong Xiong, Xin Zhang, Jiale Cheng, Xiangmin Xu, Gang Li
2025	—	`conf`	Continuous Spatio-Temporal Representation with Implicit Neural Networks for Fetal Brain MRI Atlas Construction. PIPPI@MICCAI Kai Zhang, Dan Hu, Kaibo Tang, Xiuyu Dong, Shijie Huang, Sheng-Che Hung, He Zhang, Zhengwang Wu, Weili Lin, Dinggang Shen, Gang Li
2025	J	`jnl`	Contrastive machine learning reveals species -shared and -specific brain functional architecture. Medical Image Anal. Li Yang, Guannan Cao, Songyao Zhang, Weihan Zhang, Yusong Sun, Jingchao Zhou, Tianyang Zhong, Yixuan Yuan, Tao Liu, Tianming Liu, Lei Guo, Yongchun Yu, Xi Jiang, Gang Li, Junwei Han, Tuo Zhang
2025	—	`conf`	Dual Multi-Atlas Representation Alignment for Brain Disorder Diagnosis Using Morphological Connectome. ISBI Kangfu Han, Dan Hu, Jiale Cheng, Tianming Liu, Andrea Bozoki, Dajiang Zhu, Gang Li
2025	J	`jnl`	Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task. IEEE Trans. Big Data Zihao Wu, Lu Zhang, Chao Cao, Xiaowei Yu, Zhengliang Liu, Lin Zhao, Yiwei Li, Haixing Dai, Chong Ma, Gang Li, Wei Liu, Quanzheng Li, Dinggang Shen, Xiang Li, Dajiang Zhu, Tianming Liu
2025	J	`jnl`	Flexible Individualized Developmental Prediction of Infant Cortical Surface Maps via Intensive Triplet Autoencoder. IEEE Trans. Medical Imaging Xinrui Yuan, Jiale Cheng, Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Yu Zhang, Ruiyuan Liu, Gang Li
2025	—	`conf`	Individualized Trajectory Prediction of Early Developing Functional Connectivity. ISBI Weiran Xia, Xin Zhang, Dan Hu, Jiale Cheng, Zhengwang Wu, Li Wang, Weili Lin, Gang Li
2025	—	`conf`	Joint Motion Correction of Multi-Atlas Functional Connectivity During Infancy. MLMI@MICCAI Weiran Xia, Xin Zhang, Dan Hu, Jiale Cheng, Kangfu Han, Zhengwang Wu, Li Wang, Weili Lin, Gang Li
2025	J	`jnl`	Large Language Models for Bioinformatics. CoRR Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu
2025	J	`jnl`	Learning lifespan brain anatomical correspondence via cortical developmental continuity transfer. Medical Image Anal. Lu Zhang, Zhengwang Wu, Xiaowei Yu, Yanjun Lyu, Zihao Wu, Haixing Dai, Lin Zhao, Li Wang, Gang Li, Xianqiao Wang, Tianming Liu, Dajiang Zhu
2025	—	`conf`	Lifespan Cortical Surface Reconstruction from Thick-Slice Clinical MRI. MICCAI (2) Xiuyu Dong, Kaibo Tang, Dan Hu, Zhengwang Wu, Li Wang, Weili Lin, Gang Li
2025	—	`conf`	Mamba-Based Residual Generative Adversarial Network for Functional Connectivity Harmonization During Infancy. ISBI Weiran Xia, Xin Zhang, Dan Hu, Jiale Cheng, Weiyan Yin, Zhengwang Wu, Li Wang, Weili Lin, Gang Li
2025	—	`conf`	Masked Momentum Contrastive Dynamic Transformer for Self-Supervised Functional Connectivity Representation Learning. ISBI Jiale Cheng, Dan Hu, Zhengwang Wu, Xinrui Yuan, Gang Li
2025	J	`jnl`	Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data. Medical Image Anal. Michalis Pistos, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik
2025	—	`conf`	Relation-Preserving Harmonization of Functional Connectivity Representation: Ensuring Local Functional, Longitudinal, and Population-Level Consistency. MLMI@MICCAI Jiale Cheng, Dan Hu, Kangfu Han, Weiran Xia, Xinrui Yuan, Weiyan Yin, Zhengwang Wu, Li Wang, Weili Lin, Gang Li
2025	J	`jnl`	STF: A spherical transformer for versatile cortical surfaces applications. NeuroImage Jiale Cheng, Fenqiang Zhao, Zhengwang Wu, Xinrui Yuan, Li Wang, John H. Gilmore, Weili Lin, Xin Zhang, Gang Li
2025	—	`conf`	Surface-Guided Construction of 4D Volumetric Atlases of Fetal Brains. MLMI@MICCAI Kaibo Tang, Xiuyu Dong, Zhengwang Wu, Laifa Ma, Sheng-Che Hung, He Zhang, Weili Lin, Gang Li
2025	—	`conf`	Unsupervised Cortical Surface Registration Network for Aligning Gyralnet. ISBI Jiale Cheng, Fenqiang Zhao, Dan Hu, Chao Cao, Zhengwang Wu, Xinrui Yuan, Kangfu Han, Lu Zhang, Tianming Liu, Dajiang Zhu, Gang Li
2024	J	`jnl`	A brain subcortical segmentation tool based on anatomy attentional fusion network for developing macaques. Comput. Medical Imaging Graph. Tao Zhong, Ya Wang, Xiaotong Xu, Xueyang Wu, Shujun Liang, Zhenyuan Ning, Li Wang, Yuyu Niu, Gang Li, Yu Zhang
2024	J	`jnl`	A joint brain extraction and image quality assessment framework for fetal brain MRI slices. NeuroImage Wenhao Zhang, Xin Zhang, Lingyi Li, Lufan Liao, Fenqiang Zhao, Tao Zhong, Yuchen Pei, Xiangmin Xu, Chaoxiang Yang, He Zhang, Gang Li
2024	—	`conf`	Automated Fetal Brain Volume Reconstruction from Motion-Corrupted Stacks with Deep Learning. ISBI Laifa Ma, Weili Lin, He Zhang, Gang Li
2024	—	`conf`	Consecutive-Contrastive Spherical U-Net: Enhancing Reliability of Individualized Functional Brain Parcellation for Short-Duration fMRI Scans. MICCAI (2) Dan Hu, Kangfu Han, Jiale Cheng, Gang Li
2024	—	`conf`	Cycle-Consistent Learning for Fetal Cortical Surface Reconstruction. MICCAI (7) Xiuyu Dong, Zhengwang Wu, Laifa Ma, Ya Wang, Kaibo Tang, He Zhang, Weili Lin, Gang Li
2024	—	`conf`	Development of Effective Connectome from Infancy to Adolescence. MICCAI (3) Guoshi Li, Kim-Han Thung, Hoyt Patrick Taylor, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Sahar Ahmad, Pew-Thian Yap
2024	—	`conf`	Diagnosis of Early Mild Cognitive Impairment in Type 2 Diabetes Mellitus by Deep Learning of Multimodal Images and Metadata. ISBI Kangfu Han, Xiaomei Yue, Shijun Qiu, Feng Yang, Gang Li
2024	J	`jnl`	Evaluation of OpenAI o1: Opportunities and Challenges of AGI. CoRR Tianyang Zhong, Zhengliang Liu, Yi Pan, Yutong Zhang, Yifan Zhou, Shizhe Liang, Zihao Wu, Yanjun Lyu, Peng Shu, Xiaowei Yu, Chao Cao, Hanqi Jiang, Hanxu Chen, Yiwei Li, Junhao Chen, Huawen Hu, Yihen Liu, Huaqin Zhao, Shaochen Xu, Haixing Dai, Lin Zhao, Ruidong Zhang, Wei Zhao, Zhenyuan Yang, Jingyuan Chen, Peilong Wang, Wei Ruan, Hui Wang, Huan Zhao, Jing Zhang, Yiming Ren, Shihuan Qin, Tong Chen, Jiaxi Li, Arif Hassan Zidan, Afrar Jahin, Minheng Chen, Sichen Xia, Jason Holmes, Yan Zhuang, Jiaqi Wang, Bochen Xu, Weiran Xia, Jichao Yu, Kaibo Tang, Yaxuan Yang, Bolun Sun, Tao Yang, Guoyu Lu, Xianqiao Wang, Lilong Chai, He Li, Jin Lu, Lichao Sun, Xin Zhang, Bao Ge, Xintao Hu, Lian Zhang, Hua Zhou, Lu Zhang, Shu Zhang, Ninghao Liu, Bei Jiang, Linglong Kong, Zhen Xiang, Yudan Ren, Jun Liu, Xi Jiang, Yu Bao, Wei Zhang, Xiang Li, Gang Li, Wei Liu, Dinggang Shen, Andrea Sikora, Xiaoming Zhai, Dajiang Zhu, Tianming Liu
2024	—	`conf`	Fetal MRI Reconstruction by Global Diffusion and Consistent Implicit Representation. MICCAI (7) Junpeng Tan, Xin Zhang, Chunmei Qing, Chaoxiang Yang, He Zhang, Gang Li, Xiangmin Xu
2024	—	`conf`	Longitudinally Consistent Individualized Prediction of Infant Cortical Morphological Development. MICCAI (5) Xinrui Yuan, Jiale Cheng, Dan Hu, Zhengwang Wu, Li Wang, Weili Lin, Gang Li
2024	J	`jnl`	Longitudinally consistent registration and parcellation of cortical surfaces using semi-supervised learning. Medical Image Anal. Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Gang Li
2024	J	`jnl`	Multi-Template Meta-Information Regularized Network for Alzheimer's Disease Diagnosis Using Structural MRI. IEEE Trans. Medical Imaging Kangfu Han, Gang Li, Zhiwen Fang, Feng Yang
2024	—	`conf`	Neonatal Hypoxic Ischemic Encephalopathy Severity Grading Using Multimodal Swin Transformer. ISBI Thibaud Brochet, Kangfu Han, Jiale Cheng, Fenqiang Zhao, Jérôme Lapuyade-Lahorgue, Su Ruan, Yi-Fang Tu, Sheng-Che Hung, Gang Li
2024	J	`jnl`	PETS-Nets: Joint Pose Estimation and Tissue Segmentation of Fetal Brains Using Anatomy-Guided Networks. IEEE Trans. Medical Imaging Yuchen Pei, Fenqiang Zhao, Tao Zhong, Laifa Ma, Lufan Liao, Zhengwang Wu, Li Wang, He Zhang, Lisheng Wang, Gang Li
2024	J	`jnl`	Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data. CoRR Michalis Pistos, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik
2024	—	`conf`	Revealing Fine-grained Genetically Informed Cortical Parcellation Maps of Neonates Based on Multi-view Spectral Clustering. EMBC Ying Huang, Zhengwang Wu, Ya Wang, Tengfei Li, Xifeng Wang, Hongtu Zhu, Weili Lin, Li Wang, Jun Feng, John H. Gilmore, Gang Li
2024	J	`jnl`	Role of Data-driven Regional Growth Model in Shaping Brain Folding Patterns. CoRR Jixin Hou, Zhengwang Wu, Xianyan Chen, Dajiang Zhu, Tianming Liu, Gang Li, Xianqiao Wang
2024	J	`jnl`	nBEST: Deep-learning-based non-human primates Brain Extraction and Segmentation Toolbox across ages, sites and species. NeuroImage Tao Zhong, Xueyang Wu, Shujun Liang, Zhenyuan Ning, Li Wang, Yuyu Niu, Shihua Yang, Zhuang Kang, Qianjin Feng, Gang Li, Yu Zhang
2023	J	`jnl`	An attention-based context-informed deep framework for infant brain subcortical segmentation. NeuroImage Liangjun Chen, Zhengwang Wu, Fenqiang Zhao, Ya Wang, Weili Lin, Li Wang, Gang Li
2023	J	`jnl`	Artificial General Intelligence for Medical Imaging. CoRR 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
2023	—	`conf`	Collaborative Modality Generation and Tissue Segmentation for Early-Developing Macaque Brain MR Images. MICCAI (4) Xueyang Wu, Tao Zhong, Shujun Liang, Li Wang, Gang Li, Yu Zhang
2023	—	`conf`	Deformable Spherical Transformer for Cerebellar Surface Parcellation. ISBI Jiale Cheng, Fenqiang Zhao, Zhengwang Wu, Ya Wang, Xinrui Yuan, Yue Sun, Weili Lin, Li Wang, Xin Zhang, Gang Li
2023	—	`conf`	Disentangling Site Effects with Cycle-Consistent Adversarial Autoencoder for Multi-site Cortical Data Harmonization. MICCAI (8) Fenqiang Zhao, Zhengwang Wu, Dajiang Zhu, Tianming Liu, John H. Gilmore, Weili Lin, Li Wang, Gang Li
2023	—	`conf`	Dual-Stream Model with Brain Metrics and Images for MRI-Based Fetal Brain Age Estimation. MLMI@MICCAI (1) Shengxian Chen, Xin Zhang, Ruiyan Fang, Wenhao Zhang, He Zhang, Chaoxiang Yang, Gang Li
2023	J	`jnl`	Early Autism Diagnosis based on Path Signature and Siamese Unsupervised Feature Compressor. CoRR Zhuowen Yin, Xinyao Ding, Xin Zhang, Zhengwang Wu, Li Wang, Gang Li
2023	J	`jnl`	Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task. CoRR 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
2023	—	`conf`	Federated Multi-trajectory GNNs Under Data Limitations for Baby Brain Connectivity Forecasting. PRIME@MICCAI Michalis Pistos, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik
2023	—	`conf`	Geometric Constrained Deep Learning for Motion Correction of Fetal Brain Mr Images. ISBI Laifa Ma, Liangjun Chen, Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, He Zhang, Kenli Li, Gang Li
2023	J	`jnl`	Holistic Evaluation of GPT-4V for Biomedical Imaging. CoRR 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
2023	J	`jnl`	Longitudinal prediction of postnatal brain magnetic resonance images via a metamorphic generative adversarial network. Pattern Recognit. Yunzhi Huang, Sahar Ahmad, Luyi Han, Shuai Wang, Zhengwang Wu, Weili Lin, Gang Li, Li Wang, Pew-Thian Yap
2023	J	`jnl`	Multi-scale multi-hierarchy attention convolutional neural network for fetal brain extraction. Pattern Recognit. Liang Sun, Wei Shao, Qi Zhu, Meiling Wang, Gang Li, Daoqiang Zhang
2023	—	`conf`	Multi-task Joint Prediction of Infant Cortical Morphological and Cognitive Development. MICCAI (9) Xinrui Yuan, Jiale Cheng, Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Yu Zhang, Gang Li
2023	—	`conf`	Path-Based Heterogeneous Brain Transformer Network for Resting-State Functional Connectivity Analysis. MICCAI (8) Ruiyan Fang, Yu Li, Xin Zhang, Shengxian Chen, Jiale Cheng, Xiangmin Xu, Jieling Wu, Weili Lin, Li Wang, Zhengwang Wu, Gang Li
2023	—	`conf`	Prediction of Infant Cognitive Development with Cortical Surface-Based Multimodal Learning. MICCAI (2) Jiale Cheng, Xin Zhang, Fenqiang Zhao, Zhengwang Wu, Xinrui Yuan, Li Wang, Weili Lin, Gang Li
2023	J	`jnl`	Self-supervised Fetal MRI 3D Reconstruction Based on Radiation Diffusion Generation Model. CoRR Junpeng Tan, Xin Zhang, Yao Lv, Xiangmin Xu, Gang Li
2023	—	`conf`	Towards Unified Modality Understanding for Alzheimer's Disease Diagnosis Using Incomplete Multi-modality Data. MLMI@MICCAI (2) Kangfu Han, Fenqiang Zhao, Dajiang Zhu, Tianming Liu, Feng Yang, Gang Li
2023	—	`conf`	Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning. MICCAI (8) Zhengwang Wu, Jiale Cheng, Fenqiang Zhao, Ya Wang, Yue Sun, Dajiang Zhu, Tianming Liu, Valerie Jewells, Weili Lin, Li Wang, Gang Li
2022	J	`jnl`	A 4D infant brain volumetric atlas based on the UNC/UMN baby connectome project (BCP) cohort. NeuroImage Liangjun Chen, Zhengwang Wu, Dan Hu, Ya Wang, Fenqiang Zhao, Tao Zhong, Weili Lin, Li Wang, Gang Li
2022	J	`jnl`	A cascaded nested network for 3T brain MR image segmentation guided by 7T labeling. Pattern Recognit. Jie Wei, Zhengwang Wu, Li Wang, Toan Duc Bui, Liangqiong Qu, Pew-Thian Yap, Yong Xia, Gang Li, Dinggang Shen
2022	B	`conf`	Bootstrapping Joint Entity and Relation Extraction with Reinforcement Learning. WISE Ming-Xia Liu, Xiang Cheng, Sen Su, Ming Kuang, Gang Li
2022	J	`jnl`	Brain Connectivity Based Graph Convolutional Networks and Its Application to Infant Age Prediction. IEEE Trans. Medical Imaging Yu Li, Xin Zhang, Jingxin Nie, Guowei Zhang, Ruiyan Fang, Xiangmin Xu, Zhengwang Wu, Dan Hu, Li Wang, Han Zhang, Weili Lin, Gang Li
2022	—	`conf`	Fast Spherical Mapping of Cortical Surface Meshes Using Deep Unsupervised Learning. MICCAI (6) Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Gang Li
2022	—	`conf`	Harmonization of Multi-site Cortical Data Across the Human Lifespan. MLMI@MICCAI Sahar Ahmad, Fang Nan, Ye Wu, Zhengwang Wu, Weili Lin, Li Wang, Gang Li, Di Wu, Pew-Thian Yap
2022	—	`conf`	Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network. MICCAI (8) Xiaowei Yu, Dan Hu, Lu Zhang, Ying Huang, Zhengwang Wu, Tianming Liu, Li Wang, Weili Lin, Dajiang Zhu, Gang Li
2022	J	`jnl`	Longitudinal Prediction of Postnatal Brain Magnetic Resonance Images via a Metamorphic Generative Adversarial Network. CoRR Yunzhi Huang, Sahar Ahmad, Luyi Han, Shuai Wang, Zhengwang Wu, Weili Lin, Gang Li, Li Wang, Pew-Thian Yap
2022	J	`jnl`	Longitudinal brain atlases of early developing cynomolgus macaques from birth to 48 months of age. NeuroImage 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
2022	J	`jnl`	Path Signature Neural Network of Cortical Features for Prediction of Infant Cognitive Scores. IEEE Trans. Medical Imaging Jiale Cheng, Xin Zhang, Hao Ni, Chenyang Li, Xiangmin Xu, Zhengwang Wu, Li Wang, Weili Lin, Gang Li
2022	J	`jnl`	Recurrent Tissue-Aware Network for Deformable Registration of Infant Brain MR Images. IEEE Trans. Medical Imaging 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
2022	—	`conf`	Spherical Transformer for Quality Assessment of Pediatric Cortical Surfaces. ISBI Jiale Cheng, Xin Zhang, Fenqiang Zhao, Zhengwang Wu, Ya Wang, Ying Huang, Weili Lin, Li Wang, Gang Li
2022	—	`conf`	Spherical Transformer on Cortical Surfaces. MLMI@MICCAI Jiale Cheng, Xin Zhang, Fenqiang Zhao, Zhengwang Wu, Xinrui Yuan, John H. Gilmore, Li Wang, Weili Lin, Gang Li
2021	—	`conf`	A Deep Network for Joint Registration and Parcellation of Cortical Surfaces. MICCAI (4) Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Gang Li
2021	—	`conf`	A Few-Shot Learning Graph Multi-trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint. PRIME@MICCAI Alaa Bessadok, Ahmed Nebli, Mohamed Ali Mahjoub, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik
2021	J	`jnl`	A Few-shot Learning Graph Multi-Trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint. CoRR Alaa Bessadok, Ahmed Nebli, Mohamed Ali Mahjoub, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik
2021	J	`jnl`	ABCnet: Adversarial bias correction network for infant brain MR images. Medical Image Anal. Liangjun Chen, Zhengwang Wu, Dan Hu, Fan Wang, J. Keith Smith, Weili Lin, Li Wang, Dinggang Shen, Gang Li
2021	J	`jnl`	Automatic brain extraction from 3D fetal MR image with deep learning-based multi-step framework. Comput. Medical Imaging Graph. Jian Chen, Zhenghan Fang, Guofu Zhang, Lei Ling, Gang Li, He Zhang, Li Wang
2021	—	`conf`	Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases Based on Deep Learning. MICCAI (4) Liangjun Chen, Zhengwang Wu, Dan Hu, Yuchen Pei, Fenqiang Zhao, Yue Sun, Ya Wang, Weili Lin, Li Wang, Gang Li
2021	J	`jnl`	DIKA-Nets: Domain-invariant knowledge-guided attention networks for brain skull stripping of early developing macaques. NeuroImage Tao Zhong, Fenqiang Zhao, Yuchen Pei, Zhenyuan Ning, Lufan Liao, Zhengwang Wu, Yuyu Niu, Li Wang, Dinggang Shen, Yu Zhang, Gang Li
2021	J	`jnl`	Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment. Medical Image Anal. Lu Zhang, Li Wang, Jean Gao, Shannon L. Risacher, Jingwen Yan, Gang Li, Tianming Liu, Dajiang Zhu
2021	J	`jnl`	Harmonized neonatal brain MR image segmentation model for cross-site datasets. Biomed. Signal Process. Control. Jian Chen, Yue Sun, Zhenghan Fang, Weili Lin, Gang Li, Li Wang
2021	—	`conf`	Learning 4D Infant Cortical Surface Atlas with Unsupervised Spherical Networks. MICCAI (2) Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Gang Li
2021	—	`conf`	Learning Infant Brain Developmental Connectivity for Cognitive Score Prediction. MLMI@MICCAI 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
2021	—	`conf`	Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network. MICCAI (7) Yuchen Pei, Liangjun Chen, Fenqiang Zhao, Zhengwang Wu, Tao Zhong, Ya Wang, Changan Chen, Li Wang, He Zhang, Lisheng Wang, Gang Li
2021	J	`jnl`	Multi-Regression based supervised sample selection for predicting baby connectome evolution trajectory from neonatal timepoint. Medical Image Anal. Olfa Ghribi, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik
2021	J	`jnl`	Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. IEEE Trans. Medical Imaging 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
2021	—	`conf`	Multi-scale Self-supervised Learning for Multi-site Pediatric Brain MR Image Segmentation with Motion/Gibbs Artifacts. MLMI@MICCAI Yue Sun, Kun Gao, Weili Lin, Gang Li, Sijie Niu, Li Wang
2021	—	`conf`	Reference-Relation Guided Autoencoder with Deep CCA Restriction for Awake-to-Sleep Brain Functional Connectome Prediction. MICCAI (3) Dan Hu, Weiyan Yin, Zhengwang Wu, Liangjun Chen, Li Wang, Weili Lin, Gang Li
2021	J	`jnl`	S3Reg: Superfast Spherical Surface Registration Based on Deep Learning. IEEE Trans. Medical Imaging Fenqiang Zhao, Zhengwang Wu, Fan Wang, Weili Lin, Shunren Xia, Dinggang Shen, Li Wang, Gang Li
2021	J	`jnl`	Spherical Deformable U-Net: Application to Cortical Surface Parcellation and Development Prediction. IEEE Trans. Medical Imaging Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, John H. Gilmore, Shunren Xia, Dinggang Shen, Gang Li
2021	J	`jnl`	The maturation and cognitive relevance of structural brain network organization from early infancy to childhood. NeuroImage Mackenzie Woodburn, Cheyenne L. Bricken, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Margaret A. Sheridan, Jessica R. Cohen
2020	—	`conf`	6-Month Infant Brain Mri Segmentation Guided by 24-Month Data Using Cycle-Consistent Adversarial Networks. ISBI Toan Duc Bui, Li Wang, Weili Lin, Gang Li, Dinggang Shen
2020	—	`conf`	7T Guided 3T Brain Tissue Segmentation Using Cascaded Nested Network. ISBI Jie Wei, Duc Toan Bui, Zhengwang Wu, Li Wang, Yong Xia, Gang Li, Dinggang Shen
2020	—	`conf`	A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy. MICCAI (7) 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
2020	—	`conf`	A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation. MICCAI (7) Liangjun Chen, Zhengwang Wu, Dan Hu, Ya Wang, Zhanhao Mo, Li Wang, Weili Lin, Dinggang Shen, Gang Li
2020	J	`jnl`	A Hardware Descriptive Approach to Beetle Antennae Search. IEEE Access Zongcheng Yue, Gang Li, Xiangyuan Jiang, Shuai Li, Jian Cheng, Peng Ren
2020	J	`jnl`	A novel approach to multiple anatomical shape analysis: Application to fetal ventriculomegaly. Medical Image Anal. Oualid M. Benkarim, Gemma Piella, Islem Rekik, Nadine Hahner, Elisenda Eixarch, Dinggang Shen, Gang Li, Miguel Ángel González Ballester, Gerard Sanroma
2020	—	`conf`	Anatomy-Guided Convolutional Neural Network for Motion Correction in Fetal Brain MRI. MLMI@MICCAI Yuchen Pei, Li Wang, Fenqiang Zhao, Tao Zhong, Lufan Liao, Dinggang Shen, Gang Li
2020	—	`conf`	Construction of Spatiotemporal Infant Cortical Surface Functional Templates. MICCAI (7) Ying Huang, Fan Wang, Zhengwang Wu, Zengsi Chen, Han Zhang, Li Wang, Weili Lin, Dinggang Shen, Gang Li
2020	J	`jnl`	Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces. CoRR Peirong Liu, Zhengwang Wu, Gang Li, Pew-Thian Yap, Dinggang Shen
2020	J	`jnl`	Deep morphological simplification network (MS-Net) for guided registration of brain magnetic resonance images. Pattern Recognit. Dongming Wei, Lichi Zhang, Zhengwang Wu, Xiaohuan Cao, Gang Li, Dinggang Shen, Qian Wang
2020	—	`conf`	Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting. MICCAI (7) Dan Hu, Fan Wang, Han Zhang, Zhengwang Wu, Li Wang, Weili Lin, Gang Li, Dinggang Shen
2020	J	`jnl`	Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages. IEEE Trans. Medical Imaging Dan Hu, Han Zhang, Zhengwang Wu, Fan Wang, Li Wang, J. Keith Smith, Weili Lin, Gang Li, Dinggang Shen
2020	—	`conf`	Domain-Invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains. MICCAI (7) Tao Zhong, Yu Zhang, Fenqiang Zhao, Yuchen Pei, Lufan Liao, Zhenyuan Ning, Li Wang, Dinggang Shen, Gang Li
2020	—	`conf`	Gyral Growth Patterns of Macaque Brains Revealed by Scattered Orthogonal Nonnegative Matrix Factorization. MLMI@MICCAI Songyao Zhang, Lei Du, Jinglei Lv, Zhibin He, Xi Jiang, Lei Guo, Li Wang, Tianming Liu, Dinggang Shen, Gang Li, Tuo Zhang
2020	J	`jnl`	Hierarchical Rough-to-Fine Model for Infant Age Prediction Based on Cortical Features. IEEE J. Biomed. Health Informatics Dan Hu, Zhengwang Wu, Weili Lin, Gang Li, Dinggang Shen
2020	—	`conf`	Infant Cognitive Scores Prediction with Multi-stream Attention-Based Temporal Path Signature Features. MICCAI (7) Xin Zhang, Jiale Cheng, Hao Ni, Chenyang Li, Xiangmin Xu, Zhengwang Wu, Li Wang, Weili Lin, Dinggang Shen, Gang Li
2020	—	`conf`	Joint Image Quality Assessment and Brain Extraction of Fetal MRI Using Deep Learning. MICCAI (6) Lufan Liao, Xin Zhang, Fenqiang Zhao, Tao Zhong, Yuchen Pei, Xiangmin Xu, Li Wang, He Zhang, Dinggang Shen, Gang Li
2020	—	`conf`	Multi-Branch Deformable Convolutional Neural Network with Label Distribution Learning for Fetal Brain Age Prediction. ISBI Lufan Liao, Xin Zhang, Fenqiang Zhao, Jingjiao Lou, Li Wang, Xiangmin Xu, He Zhang, Gang Li
2020	J	`jnl`	Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. CoRR 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
2020	—	`conf`	Semi-supervised Transfer Learning for Infant Cerebellum Tissue Segmentation. MLMI@MICCAI Yue Sun, Kun Gao, Sijie Niu, Weili Lin, Gang Li, Li Wang
2020	—	`conf`	Siamese Verification Framework for Autism Identification During Infancy Using Cortical Path Signature Features. ISBI Xin Zhang, Xinyao Ding, Zhengwang Wu, Jing Xia, Hao Ni, Xiangmin Xu, Lufan Liao, Li Wang, Gang Li
2020	—	`conf`	Unsupervised Learning for Spherical Surface Registration. MLMI@MICCAI Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Dinggang Shen, Gang Li
2019	—	`conf`	A Longitudinal MRI Study of Amygdala and Hippocampal Subfields for Infants with Risk of Autism. GLMI@MICCAI Guannan Li, Meng-Hsiang Chen, Gang Li, Di Wu, Chunfeng Lian, Quansen Sun, Dinggang Shen, Li Wang
2019	—	`conf`	A Preliminary Volumetric MRI Study of Amygdala and Hippocampal Subfields in Autism During Infancy. ISBI Guannan Li, Meng-Hsiang Chen, Gang Li, Di Wu, Quan-Sen Sun, Dinggang Shen, Li Wang
2019	—	`conf`	Automatic Fetal Brain Extraction Using Multi-stage U-Net with Deep Supervision. MLMI@MICCAI Jingjiao Lou, Dengwang Li, Toan Duc Bui, Fenqiang Zhao, Liang Sun, Gang Li, Dinggang Shen
2019	J	`jnl`	Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. IEEE Trans. Medical Imaging 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
2019	—	`conf`	CNS: CycleGAN-Assisted Neonatal Segmentation Model for Cross-Datasets. GLMI@MICCAI Jian Chen, Zhenghan Fang, Deqiang Xiao, Duc Toan Bui, Kim-Han Thung, Xianjun Li, Jian Yang, Weili Lin, Gang Li, Dinggang Shen, Li Wang
2019	—	`conf`	Charting Development-Based Joint Parcellation Maps Of Human and Macaque Brains During Infancy. ISBI Jing Xia, Fan Wang, Zhengwang Wu, Li Wang, Yaping Wang, Caiming Zhang, Weili Lin, Dinggang Shen, Gang Li
2019	J	`jnl`	Computational neuroanatomy of baby brains: A review. NeuroImage 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
2019	—	`conf`	Construction of 4D Neonatal Cortical Surface Atlases Using Wasserstein Distance. ISBI Zengsi Chen, Zhengwang Wu, Liang Sun, Fan Wang, Li Wang, Fenqiang Zhao, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li
2019	—	`conf`	Cortical Foldingprints for Infant Identification. ISBI Dingna Duan, Shunren Xia, Zhengwang Wu, Fan Wang, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li
2019	—	`conf`	Deep Granular Feature-Label Distribution Learning for Neuroimaging-Based Infant Age Prediction. MICCAI (4) Dan Hu, Han Zhang, Zhengwang Wu, Weili Lin, Gang Li, Dinggang Shen
2019	—	`conf`	Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces. IPMI Peirong Liu, Zhengwang Wu, Gang Li, Pew-Thian Yap, Dinggang Shen
2019	J	`jnl`	Deep Morphological Simplification Network (MS-Net) for Guided Registration of Brain Magnetic Resonance Images. CoRR Dongming Wei, Zhengwang Wu, Gang Li, Xiaohuan Cao, Dinggang Shen, Qian Wang
2019	J	`jnl`	Exploring folding patterns of infant cerebral cortex based on multi-view curvature features: Methods and applications. NeuroImage Dingna Duan, Shunren Xia, Islem Rekik, Yu Meng, Zhengwang Wu, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li
2019	J	`jnl`	FRNET: Flattened Residual Network for Infant MRI Skull Stripping. CoRR Qian Zhang, Li Wang, Xiaopeng Zong, Weili Lin, Gang Li, Dinggang Shen
2019	J	`jnl`	First-year development of modules and hubs in infant brain functional networks. NeuroImage Xuyun Wen, Han Zhang, Gang Li, Mingxia Liu, Weiyan Yin, Weili Lin, Jun Zhang, Dinggang Shen
2019	—	`conf`	Frnet: Flattened Residual Network for Infant MRI Skull Stripping. ISBI Qian Zhang, Li Wang, Xiaopeng Zong, Weili Lin, Gang Li, Dinggang Shen
2019	—	`conf`	Harmonization of Infant Cortical Thickness Using Surface-to-Surface Cycle-Consistent Adversarial Networks. MICCAI (4) Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Dinggang Shen, Gang Li
2019	J	`jnl`	Infant Brain Development Prediction With Latent Partial Multi-View Representation Learning. IEEE Trans. Medical Imaging Changqing Zhang, Ehsan Adeli, Zhengwang Wu, Gang Li, Weili Lin, Dinggang Shen
2019	—	`conf`	Intrinsic Patch-Based Cortical Anatomical Parcellation Using Graph Convolutional Neural Network on Surface Manifold. MICCAI (3) Zhengwang Wu, Fenqiang Zhao, Jing Xia, Li Wang, Weili Lin, John H. Gilmore, Gang Li, Dinggang Shen
2019	—	`conf`	Morphological Simplification of Brain MR Images by Deep Learning for Facilitating Deformable Registration. MLMI@MICCAI Dongming Wei, Sahar Ahmad, Zhengwang Wu, Xiaohuan Cao, Xuhua Ren, Gang Li, Dinggang Shen, Qian Wang
2019	—	`conf`	Multi-task Learning for Neonatal Brain Segmentation Using 3D Dense-Unet with Dense Attention Guided by Geodesic Distance. DART/MIL3ID@MICCAI Toan Duc Bui, Li Wang, Jian Chen, Weili Lin, Gang Li, Dinggang Shen
2019	J	`jnl`	Multi-task prediction of infant cognitive scores from longitudinal incomplete neuroimaging data. NeuroImage Ehsan Adeli, Yu Meng, Gang Li, Weili Lin, Dinggang Shen
2019	—	`conf`	Progressive Infant Brain Connectivity Evolution Prediction from Neonatal MRI Using Bidirectionally Supervised Sample Selection. PRIME@MICCAI Olfa Ghribi, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik
2019	—	`conf`	Revealing Developmental Regionalization of Infant Cerebral Cortex Based on Multiple Cortical Properties. MICCAI (2) Fan Wang, Chunfeng Lian, Zhengwang Wu, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li
2019	—	`conf`	Spherical U-Net For Infant Cortical Surface Parcellation. ISBI Fenqiang Zhao, Shunren Xia, Zhengwang Wu, Li Wang, Zengsi Chen, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li
2019	—	`conf`	Spherical U-Net on Cortical Surfaces: Methods and Applications. IPMI Fenqiang Zhao, Shunren Xia, Zhengwang Wu, Dingna Duan, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li
2019	J	`jnl`	Spherical U-Net on Cortical Surfaces: Methods and Applications. CoRR Fenqiang Zhao, Shunren Xia, Zhengwang Wu, Dingna Duan, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li
2019	—	`conf`	Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brain. MICCAI (2) Sahar Ahmad, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew-Thian Yap, Dinggang Shen
2019	J	`jnl`	Surface-constrained volumetric registration for the early developing brain. Medical Image Anal. Sahar Ahmad, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew-Thian Yap, Dinggang Shen
2019	J	`jnl`	The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development. NeuroImage 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
2019	J	`jnl`	Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network. NeuroImage Liang Sun, Daoqiang Zhang, Chunfeng Lian, Li Wang, Zhengwang Wu, Wei Shao, Weili Lin, Dinggang Shen, Gang Li
2018	—	`conf`	A computational method for longitudinal mapping of orientation-specific expansion of cortical surface area in infants. ISBI Jing Xia, Caiming Zhang, Fan Wang, Yu Meng, Zhengwang Wu, Li Wang, Weili Lin, Dinggang Shen, Gang Li
2018	J	`jnl`	A computational method for longitudinal mapping of orientation-specific expansion of cortical surface in infants. Medical Image Anal. Jing Xia, Fan Wang, Yu Meng, Zhengwang Wu, Li Wang, Weili Lin, Caiming Zhang, Dinggang Shen, Gang Li
2018	—	`conf`	Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional Network. MLMI@MICCAI Jiawei Chen, Han Zhang, Dong Nie, Li Wang, Gang Li, Weili Lin, Dinggang Shen
2018	—	`conf`	Construction of spatiotemporal infant cortical surface atlas of rhesus macaque. ISBI Fan Wang, Chunfeng Lian, Jing Xia, Zhengwang Wu, Dingna Duan, Li Wang, Dinggang Shen, Gang Li
2018	—	`conf`	Construction of spatiotemporal neonatal cortical surface atlases using a large-scale dataset. ISBI Zhengwang Wu, Gang Li, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen
2018	—	`conf`	Do Baby Brain Cortices that Look Alike at Birth Grow Alike During the First Year of Postnatal Development? MICCAI (3) Islem Rekik, Gang Li, Weili Lin, Dinggang Shen
2018	—	`conf`	Estimation of shape and growth brain network atlases for connectomic brain mapping in developing infants. ISBI Islem Rekik, Gang Li, Weili Lin, Dinggang Shen
2018	—	`conf`	Fetal cortical parcellation based on growth patterns. ISBI 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
2018	—	`conf`	Infant brain development prediction with latent partial multi-view representation learning. ISBI Changqing Zhang, Ehsan Adeli, Zhengwang Wu, Gang Li, Weili Lin, Dinggang Shen
2018	—	`conf`	Registration-Free Infant Cortical Surface Parcellation Using Deep Convolutional Neural Networks. MICCAI (3) Zhengwang Wu, Gang Li, Li Wang, Feng Shi, Weili Lin, John H. Gilmore, Dinggang Shen
2018	—	`conf`	Revealing Regional Associations of Cortical Folding Alterations with In Utero Ventricular Dilation Using Joint Spectral Embedding. MICCAI (3) Oualid M. Benkarim, Gerard Sanroma, Gemma Piella, Islem Rekik, Nadine Hahner, Elisenda Eixarch, Miguel Ángel González Ballester, Dinggang Shen, Gang Li
2018	J	`jnl`	Spatiotemporal Analysis of Developing Brain Networks. Frontiers Neuroinformatics Ping He, Xiaohua Xu, Han Zhang, Gang Li, Jingxin Nie, Pew-Thian Yap, Dinggang Shen
2018	—	`conf`	Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net. MLMI@MICCAI Liang Sun, Daoqiang Zhang, Li Wang, Wei Shao, Zengsi Chen, Weili Lin, Dinggang Shen, Gang Li
2018	—	`conf`	Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis. MICCAI (3) Li Wang, Gang Li, Feng Shi, Xiaohuan Cao, Chunfeng Lian, Dong Nie, Mingxia Liu, Han Zhang, Guannan Li, Zhengwang Wu, Weili Lin, Dinggang Shen
2017	—	`conf`	4D Infant Cortical Surface Atlas Construction Using Spherical Patch-Based Sparse Representation. MICCAI (1) Zhengwang Wu, Gang Li, Yu Meng, Li Wang, Weili Lin, Dinggang Shen
2017	—	`conf`	Developmental Patterns Based Individualized Parcellation of Infant Cortical Surface. MICCAI (1) Gang Li, Li Wang, Weili Lin, Dinggang Shen
2017	J	`jnl`	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. Islem Rekik, Gang Li, Weili Lin, Dinggang Shen
2017	—	`conf`	Estimation of Brain Network Atlases Using Diffusive-Shrinking Graphs: Application to Developing Brains. IPMI Islem Rekik, Gang Li, Weili Lin, Dinggang Shen
2017	—	`conf`	Exploring Gyral Patterns of Infant Cortical Folding Based on Multi-view Curvature Information. MICCAI (1) Dingna Duan, Shunren Xia, Yu Meng, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li
2017	J	`jnl`	Gyral net: A new representation of cortical folding organization. Medical Image Anal. Hanbo Chen, Yujie Li, Fangfei Ge, Gang Li, Dinggang Shen, Tianming Liu
2017	—	`conf`	Joint Sparse and Low-Rank Regularized Multi-Task Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data. MICCAI (1) Ehsan Adeli, Yu Meng, Gang Li, Weili Lin, Dinggang Shen
2017	J	`jnl`	Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI. NeuroImage Islem Rekik, Gang Li, Pew-Thian Yap, Geng Chen, Weili Lin, Dinggang Shen
2017	—	`conf`	Longitudinal multi-scale mapping of infant cortical folding using spherical wavelets. ISBI Dingna Duan, Islem Rekik, Shunren Xia, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li
2017	—	`conf`	Longitudinally-Consistent Parcellation of Infant Population Cortical Surfaces Based on Functional Connectivity. MLMI@MICCAI Junyi Yan, Yu Meng, Gang Li, Weili Lin, Dazhe Zhao, Dinggang Shen
2016	—	`ed.`	2016 International Conference on Behavioral, Economic and Socio-cultural Computing, BESC 2016, Durham, NC, USA, November 11-13, 2016 BESC Gang Li, Yves Demazeau, Guandong Xu, Paul Wang, Leon S. L. Wang, Guanfeng Liu
2016	—	`conf`	A Hybrid Multishape Learning Framework for Longitudinal Prediction of Cortical Surfaces and Fiber Tracts Using Neonatal Data. MICCAI (1) Islem Rekik, Gang Li, Pew-Thian Yap, Geng Chen, Weili Lin, Dinggang Shen
2016	—	`conf`	Discovering Cortical Folding Patterns in Neonatal Cortical Surfaces Using Large-Scale Dataset. MICCAI (1) Yu Meng, Gang Li, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen
2016	—	`conf`	Functional Connectivity Network Fusion with Dynamic Thresholding for MCI Diagnosis. MLMI@MICCAI Xi Yang, Yan Jin, Xiaobo Chen, Han Zhang, Gang Li, Dinggang Shen
2016	—	`conf`	LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images. MCV/BAMBI@MICCAI Li Wang, Yaozong Gao, Gang Li, Feng Shi, Weili Lin, Dinggang Shen
2016	—	`conf`	Learning-Based Topological Correction for Infant Cortical Surfaces. MICCAI (1) Shijie Hao, Gang Li, Li Wang, Yu Meng, Dinggang Shen
2016	J	`jnl`	Multidirectional and Topography-based Dynamic-scale Varifold Representations with Application to Matching Developing Cortical Surfaces. NeuroImage Islem Rekik, Gang Li, Weili Lin, Dinggang Shen
2016	J	`jnl`	Predicting infant cortical surface development using a 4D varifold-based learning framework and local topography-based shape morphing. Medical Image Anal. Islem Rekik, Gang Li, Weili Lin, Dinggang Shen
2015	—	`conf`	Automated Segmentation of CBCT Image with Prior-Guided Sequential Random Forest. MCV@MICCAI Li Wang, Yaozong Gao, Feng Shi, Gang Li, Ken-Chung Chen, Zhen Tang, James J. Xia, Dinggang Shen
2015	—	`conf`	Automatic parcellation of cortical surfaces using random forests. ISBI Yu Meng, Gang Li, Yaozong Gao, Dinggang Shen
2015	J	`jnl`	Construction of 4D high-definition cortical surface atlases of infants: Methods and applications. Medical Image Anal. Gang Li, Li Wang, Feng Shi, John H. Gilmore, Weili Lin, Dinggang Shen
2015	—	`conf`	Cortical Surface-Based Construction of Individual Structural Network with Application to Early Brain Development Study. MICCAI (3) Yu Meng, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen
2015	—	`conf`	Isointense Infant Brain Segmentation by Stacked Kernel Canonical Correlation Analysis. Patch-MI@MICCAI Li Wang, Feng Shi, Yaozong Gao, Gang Li, Weili Lin, Dinggang Shen
2015	J	`jnl`	LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images. NeuroImage Li Wang, Yaozong Gao, Feng Shi, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen
2015	—	`conf`	Parcellation of Infant Surface Atlas Using Developmental Trajectories of Multidimensional Cortical Attributes. MICCAI (3) Gang Li, Li Wang, John H. Gilmore, Weili Lin, Dinggang Shen
2015	—	`conf`	Prediction of Infant MRI Appearance and Anatomical Structure Evolution Using Sparse Patch-Based Metamorphosis Learning Framework. Patch-MI@MICCAI Islem Rekik, Gang Li, Guorong Wu, Weili Lin, Dinggang Shen
2015	—	`conf`	Prediction of Longitudinal Development of Infant Cortical Surface Shape Using a 4D Current-Based Learning Framework. IPMI Islem Rekik, Gang Li, Weili Lin, Dinggang Shen
2015	—	`conf`	Subject-Specific Estimation of Missing Cortical Thickness Maps in Developing Infant Brains. MCV@MICCAI Yu Meng, Gang Li, Yaozong Gao, John H. Gilmore, Weili Lin, Dinggang Shen
2015	—	`conf`	Topography-Based Registration of Developing Cortical Surfaces in Infants Using Multidirectional Varifold Representation. MICCAI (2) Islem Rekik, Gang Li, Weili Lin, Dinggang Shen
2014	—	`conf`	Constructing 4D Infant Cortical Surface Atlases Based on Dynamic Developmental Trajectories of the Cortex. MICCAI (3) Gang Li, Li Wang, Feng Shi, Weili Lin, Dinggang Shen
2014	—	`conf`	Detection and analysis of T2DM biomarkers from brain MR images using BrainLab. BMEI Bo Peng, Gang Li, Zhiye Chen, Bin Lv, Dinggang Shen, Lin Ma, Yakang Dai
2014	J	`jnl`	Integration of sparse multi-modality representation and anatomical constraint for isointense infant brain MR image segmentation. NeuroImage Li Wang, Feng Shi, Yaozong Gao, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen
2014	—	`conf`	LINKS: Learning-Based Multi-source IntegratioN FrameworK for Segmentation of Infant Brain Images. MCV Li Wang, Yaozong Gao, Feng Shi, Gang Li, John H. Gilmore, Weili Lin, Dinggang Shen
2014	J	`jnl`	Measuring the dynamic longitudinal cortex development in infants by reconstruction of temporally consistent cortical surfaces. NeuroImage Gang Li, Jingxin Nie, Li Wang, Feng Shi, John H. Gilmore, Weili Lin, Dinggang Shen
2014	J	`jnl`	Segmentation of neonatal brain MR images using patch-driven level sets. NeuroImage Li Wang, Feng Shi, Gang Li, Yaozong Gao, Weili Lin, John H. Gilmore, Dinggang Shen
2014	J	`jnl`	Simultaneous and consistent labeling of longitudinal dynamic developing cortical surfaces in infants. Medical Image Anal. Gang Li, Li Wang, Feng Shi, Weili Lin, Dinggang Shen
2014	—	`conf`	Spatial distribution and longitudinal development of DEEP cortical sulcal landmarks in infants. ISBI Yu Meng, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen
2014	J	`jnl`	Spatial distribution and longitudinal development of deep cortical sulcal landmarks in infants. NeuroImage Yu Meng, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen
2013	—	`conf`	Automated Segmentation of CBCT Image Using Spiral CT Atlases and Convex Optimization. MICCAI (3) 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
2013	B	`conf`	Consistent 4D brain extraction of serial brain MR images. Image Processing Yaping Wang, Gang Li, Jingxin Nie, Pew-Thian Yap, Lei Guo, Dinggang Shen
2013	J	`jnl`	Development of cortical anatomical properties from early childhood to early adulthood. NeuroImage Jingxin Nie, Gang Li, Dinggang Shen
2013	—	`conf`	Integration of Sparse Multi-modality Representation and Geometrical Constraint for Isointense Infant Brain Segmentation. MICCAI (1) Li Wang, Feng Shi, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen
2013	B	`conf`	Mapping longitudinal cerebral cortex development using diffusion tensor imaging. Image Processing Yaping Wang, Gang Li, Mihye Ahn, Jingxin Nie, Hongtu Zhu, Lei Guo
2013	—	`conf`	Measuring longitudinally dynamic cortex development in infants by reconstruction of consistent cortical surfaces. ISBI Gang Li, Jingxin Nie, Li Wang, Feng Shi, John H. Gilmore, Weili Lin, Dinggang Shen
2013	—	`conf`	Multi-atlas Based Simultaneous Labeling of Longitudinal Dynamic Cortical Surfaces in Infants. MICCAI (1) Gang Li, Li Wang, Feng Shi, Weili Lin, Dinggang Shen
2013	—	`conf`	Patch-driven neonatal brain MRI segmentation with sparse representation and level sets. ISBI Li Wang, Feng Shi, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen
2012	—	`conf`	4D Segmentation of Longitudinal Brain MR Images with Consistent Cortical Thickness Measurement. STIA Li Wang, Feng Shi, Gang Li, Dinggang Shen
2012	J	`jnl`	Consistent reconstruction of cortical surfaces from longitudinal brain MR images. NeuroImage Gang Li, Jingxin Nie, Guorong Wu, Yaping Wang, Dinggang Shen
2012	J	`jnl`	Improving segmentation of 3D touching cell nuclei using flow tracking on surface meshes. Int. J. Comput. Biol. Drug Des. Gang Li, Lei Guo
2012	—	`conf`	Multiple Atlases-Based Joint Labeling of Human Cortical Sulcal Curves. MCV Ilwoo Lyu, Gang Li, Minjeong Kim, Dinggang Shen
2012	—	`conf`	Partition Cortical Surfaces into Supervertices: Method and Application. MeshMed Gang Li, Jingxin Nie, Dinggang Shen
2011	—	`conf`	Consistent Reconstruction of Cortical Surfaces from Longitudinal Brain MR Images. MICCAI (2) Gang Li, Jingxin Nie, Dinggang Shen
2011	—	`conf`	Consistent sulcal parcellation of longitudinal cortical surfaces. ISBI Gang Li, Yang Li, Yaping Wang, Dinggang Shen
2011	J	`jnl`	Consistent sulcal parcellation of longitudinal cortical surfaces. NeuroImage Gang Li, Dinggang Shen
2010	J	`jnl`	An automated pipeline for cortical sulcal fundi extraction. Medical Image Anal. Gang Li, Lei Guo, Jingxin Nie, Tianming Liu
2010	—	`conf`	Automatic Cortical Gyral Parcellation Using Probabilistic Atlas and Graph Cuts. MIAR Gang Li, Lei Guo, Tuo Zhang, Jingxin Nie, Tianming Liu
2010	—	`conf`	Automatic cortical surface parcellation based on fiber density information. ISBI Degang Zhang, Lei Guo, Gang Li, Jingxin Nie, Fan Deng, Kaiming Li, Xintao Hu, Tuo Zhang, Xi Jiang, Dajiang Zhu, Qun Zhao, Tianming Liu
2010	—	`conf`	Cortical Sulcal Bank Segmentation via Geometric Similarity Based Graph Partition. MIAR Gang Li, Lei Guo, Tuo Zhang, Jingxin Nie, Tianming Liu
2010	—	`conf`	Cortical surface based identification of brain networks using high spatial resolution resting state FMRI data. ISBI Kaiming Li, Lei Guo, Gang Li, Jingxin Nie, Carlos Faraco, Qun Zhao, L. Stephen Miller, Tianming Liu
2010	—	`conf`	Direction field diffusion on cortical surface via graph cuts. CVPR Workshops Gang Li, Lei Guo, Jingxin Nie, Kaiming Li, Tianming Liu
2010	J	`jnl`	Gyral folding pattern analysis via surface profiling. NeuroImage Kaiming Li, Lei Guo, Gang Li, Jingxin Nie, Carlos Faraco, Guangbin Cui, Qun Zhao, L. Stephen Miller, Tianming Liu
2010	B	`conf`	Gyral parcellation of cortical surfaces via coupled flow field tracking. Image Processing Gang Li, Lei Guo, Kaiming Li, Jingxin Nie, Tianming Liu
2010	—	`conf`	Joint analysis of cortical folding pattern, thickness and fiber density using structural and DTI data. ISBI Yixuan Yuan, Lei Guo, Gang Li, Tuo Zhang, Xintao Hu, Tianming Liu
2010	—	`conf`	Joint analysis of fiber shape and cortical folding patterns. ISBI Xintao Hu, Lei Guo, Tuo Zhang, Gang Li, Jingxin Nie, Xi Jiang, Degang Zhang, Tianming Liu
2010	B	`conf`	Optimal combination of multiple cortical surface parcellations. Image Processing Xintao Hu, Lei Guo, Gang Li, Kaiming Li, Tianming Liu
2009	—	`conf`	A Computational Model of Cerebral Cortex Folding. MICCAI (1) Jingxin Nie, Gang Li, Lei Guo, Tianming Liu
2009	—	`conf`	Automatic Cortical Sulcal Parcellation Based on Surface Principal Direction Flow Field Tracking. IPMI Gang Li, Lei Guo, Jingxin Nie, Tianming Liu
2009	J	`jnl`	Automatic cortical sulcal parcellation based on surface principal direction flow field tracking. NeuroImage Gang Li, Lei Guo, Jingxin Nie, Tianming Liu
2009	J	`jnl`	Deformation invariant attribute vector for deformable registration of longitudinal brain MR images. Comput. Medical Imaging Graph. Gang Li, Lei Guo, Tianming Liu
2009	C	`conf`	Grouping of Brain MR Images via Affinity Propagation. ISCAS Gang Li, Lei Guo, Tianming Liu
2009	—	`conf`	Gyral Folding Pattern Analysis via Surface Profiling. MICCAI (1) Kaiming Li, Lei Guo, Gang Li, Jingxin Nie, Carlos Faraco, Qun Zhao, L. Stephen Miller, Tianming Liu
2009	—	`conf`	Parametric Representation of Cortical Surface Folding Based on Polynomials. MICCAI (1) Tuo Zhang, Lei Guo, Gang Li, Jingxin Nie, Tianming Liu
2009	J	`jnl`	Review of methods for functional brain connectivity detection using fMRI. Comput. Medical Imaging Graph. Kaiming Li, Lei Guo, Jingxin Nie, Gang Li, Tianming Liu
2008	—	`conf`	A Novel Method for Cortical Sulcal Fundi Extraction. MICCAI (1) Gang Li, Tianming Liu, Jingxin Nie, Lei Guo, Stephen T. C. Wong
2008	J	`jnl`	An Automated Method for Cell Detection in Zebrafish. Neuroinformatics Tianming Liu, Gang Li, Jingxin Nie, Ashley Tarokh, Xiaobo Zhou, Lei Guo, Jarema Malicki, Weiming Xia, Stephen T. C. Wong
2008	J	`jnl`	ZFIQ: a software package for zebrafish biology. Bioinform. Tianming Liu, Jingxin Nie, Gang Li, Lei Guo, Stephen T. C. Wong
2007	J	`jnl`	Least-square conformal brain mapping with spring energy. Comput. Medical Imaging Graph. Jingxin Nie, Tianming Liu, Gang Li, Geoffrey S. Young, Ashley Tarokh, Lei Guo, Stephen T. C. Wong
2007	—	`conf`	Segmentation of Touching Cells Using Gradient Flow Tracking. ISBI Gang Li, Tianming Liu, Jingxin Nie, Lei Guo, Stephen T. C. Wong
2006	—	`conf`	Deformation invariant attribute vector for 3D image registration: method and validation. ISBI Gang Li, Tianming Liu, Geoffrey S. Young, Lei Guo, Stephen T. C. Wong