Li Wang - RankMe

228 papers A* 3Journal 92Unranked 131

Year	Rank	Type	Title / Venue / Authors
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`	Brain anatomy prior modeling to forecast clinical progression of cognitive impairment with structural MRI. Pattern Recognit. Lintao Zhang, Jinjian Wu, Lihong Wang, Li Wang, David C. Steffens, Shijun Qiu, Guy G. Potter, Mingxia 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`	Improving Late-Life Depression Analysis with Collaborative Domain Adaptation: Learning from Heterogeneous Structural MRI. GRAIL/RIME@MICCAI Yuzhen Gao, Mengqi Wu, Li Wang, Lihong Wang, David C. Stephens, Guy G. Potter, Mingxia Liu
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`	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`	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
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	—	`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`	Disentangled Hybrid Transformer for Identification of Infants with Prenatal Drug Exposure. MICCAI (12) Jiale Cheng, Zhengwang Wu, Xinrui Yuan, Li Wang, Weili Lin, Karen Grewen, Gang Li
2024	—	`conf`	Generation of Anatomy-Realistic 4d Infant Brain Atlases with Tissue Maps Using Generative Adversarial Networks. ISBI Kaibo Tang, Liangjun Chen, Zhengwang Wu, Fenqiang Zhao, Ya Wang, Weili Lin, Li Wang, Gang Li
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`	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`	RClaNet: An Explainable Alzheimer's Disease Diagnosis Framework by Joint Registration and Classification. IEEE J. Biomed. Health Informatics Liang Wu, Shunbo Hu, Duanwei Wang, Changchun Liu, Li Wang
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`	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`	Bidirectional prediction of facial and bony shapes for orthognathic surgical planning. Medical Image Anal. Lei Ma, Chunfeng Lian, Dae-Seung Kim, Deqiang Xiao, Dongming Wei, Qin Liu, Tianshu Kuang, Maryam Ghanbari, Guoshi Li, Jaime Gateno, Steve Guo-Fang Shen, Li Wang, Dinggang Shen, James J. Xia, Pew-Thian Yap
2023	J	`jnl`	Brain Anatomy Prior Modeling to Forecast Clinical Progression of Cognitive Impairment with Structural MRI. CoRR Lintao Zhang, Jinjian Wu, Lihong Wang, Li Wang, David C. Steffens, Shijun Qiu, Guy G. Potter, Mingxia Liu
2023	—	`conf`	Brain Anatomy-Guided MRI Analysis for Assessing Clinical Progression of Cognitive Impairment with Structural MRI. MICCAI (8) Lintao Zhang, Jinjian Wu, Lihong Wang, Li Wang, David C. Steffens, Shijun Qiu, Guy G. Potter, Mingxia Liu
2023	J	`jnl`	Breast Tumor Segmentation in DCE-MRI With Tumor Sensitive Synthesis. IEEE Trans. Neural Networks Learn. Syst. Shuai Wang, Kun Sun, Li Wang, Liangqiong Qu, Fuhua Yan, Qian Wang, 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	A*	`conf`	Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan. ICCV Yongheng Sun, Fan Wang, Jun Shu, Haifeng Wang, Li Wang, Deyu Meng, Chunfeng Lian
2023	J	`jnl`	Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan. CoRR Yongheng Sun, Fan Wang, Jun Shu, Haifeng Wang, Li Wang, Deyu Meng, Chunfeng Lian
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	—	`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`	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	—	`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	—	`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	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	J	`jnl`	Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D Mask R-CNN and Local Dependency Learning. IEEE Trans. Medical Imaging Yankun Lang, Chunfeng Lian, Deqiang Xiao, Han Deng, Kim-Han Thung, Peng Yuan, Jaime Gateno, Tianshu Kuang, David M. Alfi, Li Wang, Dinggang Shen, James J. Xia, Pew-Thian Yap
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`	Multi-Task Weakly-Supervised Attention Network for Dementia Status Estimation With Structural MRI. IEEE Trans. Neural Networks Learn. Syst. Chunfeng Lian, Mingxia Liu, Li Wang, Dinggang Shen
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	—	`conf`	Plug-and-Play Shape Refinement Framework for Multi-site and Lifespan Brain Skull Stripping. MLMI@MICCAI Yunxiang Li, Ruilong Dan, Shuai Wang, Yifan Cao, Xiangde Luo, Chenghao Tan, Gangyong Jia, Huiyu Zhou, You Zhang, Yaqi Wang, Li Wang
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	J	`jnl`	Source-free Domain Adaptation for Multi-site and Lifespan Brain Skull Stripping. CoRR Yunxiang Li, Ruilong Dan, Shuai Wang, Yifan Cao, Xiangde Luo, Chenghao Tan, Gangyong Jia, Huiyu Zhou, Yaqi Wang, Li 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
2022	J	`jnl`	Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans. IEEE Trans. Medical Imaging Tai-Hsien Wu, Chunfeng Lian, Sanghee Lee, Matthew Pastewait, Christian Piers, Jie Liu, Fan Wang, Li Wang, Chiung-Ying Chiu, Wenchi Wang, Christina Jackson, Wei-Lun Chao, Dinggang Shen, Ching-Chang Ko
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	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`	Anatomy-Regularized Representation Learning for Cross-Modality Medical Image Segmentation. IEEE Trans. Medical Imaging Xu Chen, Chunfeng Lian, Li Wang, Hannah H. Deng, Tianshu Kuang, Steve H. Fung, Jaime Gateno, Pew-Thian Yap, James J. Xia, Dinggang Shen
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`	Dispensed Transformer Network for Unsupervised Domain Adaptation. CoRR Yunxiang Li, Jingxiong Li, Ruilong Dan, Shuai Wang, Kai Jin, Guodong Zeng, Jun Wang, Xiangji Pan, Qianni Zhang, Huiyu Zhou, Qun Jin, Li Wang, Yaqi Wang
2021	J	`jnl`	Diverse data augmentation for learning image segmentation with cross-modality annotations. Medical Image Anal. Xu Chen, Chunfeng Lian, Li Wang, Hannah H. Deng, Tianshu Kuang, Steve H. Fung, Jaime Gateno, Dinggang Shen, James J. Xia, Pew-Thian Yap
2021	J	`jnl`	Estimating Reference Shape Model for Personalized Surgical Reconstruction of Craniomaxillofacial Defects. IEEE Trans. Biomed. Eng. Deqiang Xiao, Chunfeng Lian, Li Wang, Hannah H. Deng, Hung-Ying Lin, Kim-Han Thung, Jihua Zhu, Peng Yuan, Leonel Perez Jr., Jaime Gateno, Steve Guo-Fang Shen, Pew-Thian Yap, James J. Xia, Dinggang Shen
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	—	`conf`	Learning Transferable 3D-CNN for MRI-Based Brain Disorder Classification from Scratch: An Empirical Study. MLMI@MICCAI Hao Guan, Li Wang, Dongren Yao, Andrea Bozoki, Mingxia Liu
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-Source Domain Adaptation via Optimal Transport for Brain Dementia Identification. ISBI Hao Guan, Li Wang, Mingxia Liu
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
2021	J	`jnl`	Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans. CoRR Tai-Hsien Wu, Chunfeng Lian, Sanghee Lee, Matthew Pastewait, Christian Piers, Jie Liu, Fang Wang, Li Wang, Christina Jackson, Wei-Lun Chao, Dinggang Shen, Ching-Chang Ko
2021	J	`jnl`	iSMNN: batch effect correction for single-cell RNA-seq data via iterative supervised mutual nearest neighbor refinement. Briefings Bioinform. Yuchen Yang, Gang Li, Yifang Xie, Li Wang, Taylor M. Lagler, Yingxi Yang, Jiandong Liu, Li Qian, Yun Li
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`	Adaptive-Guided-Coupling-Probability Level Set for Retinal Layer Segmentation. IEEE J. Biomed. Health Informatics Yue Sun, Sijie Niu, Xizhan Gao, Jie Su, Jiwen Dong, Yuehui Chen, Li Wang
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`	Context-guided fully convolutional networks for joint craniomaxillofacial bone segmentation and landmark digitization. Medical Image Anal. Jun Zhang, Mingxia Liu, Li Wang, Si Chen, Peng Yuan, Jianfu Li, Steve Guo-Fang Shen, Zhen Tang, Ken-Chung Chen, James J. Xia, Dinggang Shen
2020	J	`jnl`	Corrections to "Medical Image Synthesis With Deep Convolutional Adversarial Networks". IEEE Trans. Biomed. Eng. Dong Nie, Roger Trullo, Jun Lian, Li Wang, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen
2020	J	`jnl`	Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation. Comput. Medical Imaging Graph. Jose Dolz, Christian Desrosiers, Li Wang, Jing Yuan, Dinggang Shen, Ismail Ben Ayed
2020	J	`jnl`	Deep Multi-Scale Mesh Feature Learning for Automated Labeling of Raw Dental Surfaces From 3D Intraoral Scanners. IEEE Trans. Medical Imaging Chunfeng Lian, Li Wang, Tai-Hsien Wu, Fan Wang, Pew-Thian Yap, Ching-Chang Ko, Dinggang Shen
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	—	`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`	Informative Feature-Guided Siamese Network for Early Diagnosis of Autism. MLMI@MICCAI Kun Gao, Yue Sun, Sijie Niu, Li Wang
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`	Linking Adolescent Brain MRI to Obesity via Deep Multi-cue Regression Network. MLMI@MICCAI Hao Guan, Erkun Yang, Li Wang, Pew-Thian Yap, Mingxia Liu, Dinggang Shen
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`	Multi-task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCT. MICCAI (4) Chunfeng Lian, Fan Wang, Hannah H. Deng, Li Wang, Deqiang Xiao, Tianshu Kuang, Hung-Ying Lin, Jaime Gateno, Steve Guo-Fang Shen, Pew-Thian Yap, James J. Xia, Dinggang Shen
2020	J	`jnl`	One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures. IEEE Trans. Medical Imaging Xu Chen, James J. Xia, Dinggang Shen, Chunfeng Lian, Li Wang, Hannah H. Deng, Steve H. Fung, Dong Nie, Kim-Han Thung, Pew-Thian Yap, Jaime Gateno
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	J	`jnl`	3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation. IEEE Trans. Cybern. Dong Nie, Li Wang, Ehsan Adeli, Cuijin Lao, Weili Lin, Dinggang Shen
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 Detection of Craniomaxillofacial Anatomical Landmarks on CBCT Images Using 3D Mask R-CNN. GLMI@MICCAI Yankun Lang, Li Wang, Pew-Thian Yap, Chunfeng Lian, Hannah H. Deng, Kim-Han Thung, Deqiang Xiao, Peng Yuan, Steve Guo-Fang Shen, Jaime Gateno, Tianshu Kuang, David M. Alfi, James J. Xia, Dinggang Shen
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	A*	`conf`	Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation. AAAI Dong Nie, Li Wang, Lei Xiang, Sihang Zhou, Ehsan Adeli, Dinggang Shen
2019	J	`jnl`	Dilated Dense U-Net for Infant Hippocampus Subfield Segmentation. Frontiers Neuroinformatics Hancan Zhu, Feng Shi, Li Wang, Sheng-Che Hung, Meng-Hsiang Chen, Shuai Wang, Weili Lin, Dinggang Shen
2019	—	`conf`	Discriminative-Region-Aware Residual Network for Adolescent Brain Structure and Cognitive Development Analysis. GLMI@MICCAI Yongsheng Pan, Mingxia Liu, Li Wang, Yong Xia, Dinggang Shen
2019	—	`conf`	End-to-End Dementia Status Prediction from Brain MRI Using Multi-task Weakly-Supervised Attention Network. MICCAI (4) Chunfeng Lian, Mingxia Liu, Li Wang, Dinggang Shen
2019	—	`conf`	Estimating Reference Bony Shape Model for Personalized Surgical Reconstruction of Posttraumatic Facial Defects. MICCAI (5) Deqiang Xiao, Li Wang, Hannah H. Deng, Kim-Han Thung, Jihua Zhu, Peng Yuan, Yriu L. Rodrigues, Leonel Perez Jr., Christopher E. Crecelius, Jaime Gateno, Tiansku Kuang, Steve Guo-Fang Shen, Daeseung Kim, David M. Alfi, Pew-Thian Yap, James J. Xia, Dinggang Shen
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	—	`conf`	Frnet: Flattened Residual Network for Infant MRI Skull Stripping. ISBI Qian Zhang, Li Wang, Xiaopeng Zong, Weili Lin, Gang Li, Dinggang Shen
2019	J	`jnl`	From Abstractions to "Natural Languages" for Planning Agents. CoRR Yu Zhang, Li Wang
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	—	`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	J	`jnl`	Longitudinally Guided Super-Resolution of Neonatal Brain Magnetic Resonance Images. IEEE Trans. Cybern. Yongqin Zhang, Feng Shi, Jian Cheng, Li Wang, Pew-Thian Yap, Dinggang Shen
2019	—	`conf`	MeshSNet: Deep Multi-scale Mesh Feature Learning for End-to-End Tooth Labeling on 3D Dental Surfaces. MICCAI (6) Chunfeng Lian, Li Wang, Tai-Hsien Wu, Mingxia Liu, Francisca Durán, Ching-Chang Ko, Dinggang Shen
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	—	`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	J	`jnl`	STRAINet: Spatially Varying sTochastic Residual AdversarIal Networks for MRI Pelvic Organ Segmentation. IEEE Trans. Neural Networks Learn. Syst. Dong Nie, Li Wang, Yaozong Gao, Jun Lian, Dinggang Shen
2019	J	`jnl`	Special issue on machine learning in medical imaging. Comput. Medical Imaging Graph. Li Wang, Yinghuan Shi, Heung-Il Suk, J. Alison Noble, Ghassan Hamarneh
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	J	`jnl`	Super-resolution reconstruction of neonatal brain magnetic resonance images via residual structured sparse representation. Medical Image Anal. Yongqin Zhang, Pew-Thian Yap, Geng Chen, Weili Lin, Li Wang, Dinggang Shen
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`	ASDNet: Attention Based Semi-supervised Deep Networks for Medical Image Segmentation. MICCAI (4) Dong Nie, Yaozong Gao, Li Wang, Dinggang Shen
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`	Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning. MICCAI (4) Miaoyun Zhao, Li Wang, Jiawei Chen, Dong Nie, Yulai Cong, Sahar Ahmad, Angela Ho, Peng Yuan, Steve H. Fung, Hannah H. Deng, James J. Xia, Dinggang Shen
2018	—	`conf`	Deep Learning Based Inter-modality Image Registration Supervised by Intra-modality Similarity. MLMI@MICCAI Xiaohuan Cao, Jianhuan Yang, Li Wang, Zhong Xue, Qian Wang, Dinggang Shen
2018	J	`jnl`	Deep Learning based Inter-Modality Image Registration Supervised by Intra-Modality Similarity. CoRR Xiaohuan Cao, Jianhua Yang, Li Wang, Zhong Xue, Qian Wang, Dinggang Shen
2018	—	`conf`	Early Diagnosis of Autism Disease by Multi-channel CNNs. MLMI@MICCAI Guannan Li, Mingxia Liu, Quan-Sen Sun, Dinggang Shen, Li Wang
2018	—	`conf`	Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks. MICCAI (4) Sihang Zhou, Dong Nie, Ehsan Adeli, Yaozong Gao, Li Wang, Jianping Yin, Dinggang Shen
2018	J	`jnl`	Guest Editorial Special Issue on Deep Learning in Medical Imaging. IEEE Trans. Biomed. Eng. Dinggang Shen, Li Wang
2018	J	`jnl`	Hierarchical Vertex Regression-Based Segmentation of Head and Neck CT Images for Radiotherapy Planning. IEEE Trans. Image Process. Zhensong Wang, Lifang Wei, Li Wang, Yaozong Gao, Wufan Chen, Dinggang Shen
2018	J	`jnl`	Medical Image Synthesis with Deep Convolutional Adversarial Networks. IEEE Trans. Biomed. Eng. Dong Nie, Roger Trullo, Jun Lian, Li Wang, Caroline Petitjean, Su Ruan, Qian Wang, 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`	Semi-supervised learning for pelvic MR image segmentation based on multi-task residual fully convolutional networks. ISBI Zishun Feng, Dong Nie, Li Wang, 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	J	`jnl`	A novel relational regularization feature selection method for joint regression and classification in AD diagnosis. Medical Image Anal. Xiaofeng Zhu, Heung-Il Suk, Li Wang, Seong-Whan Lee, Dinggang Shen
2017	J	`jnl`	Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation. CoRR Jose Dolz, Christian Desrosiers, Li Wang, Jing Yuan, Dinggang Shen, Ismail Ben Ayed
2017	—	`conf`	Developmental Patterns Based Individualized Parcellation of Infant Cortical Surface. MICCAI (1) Gang Li, Li Wang, 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	—	`conf`	Joint Craniomaxillofacial Bone Segmentation and Landmark Digitization by Context-Guided Fully Convolutional Networks. MICCAI (2) Jun Zhang, Mingxia Liu, Li Wang, Si Chen, Peng Yuan, Jianfu Li, Steve Guo-Fang Shen, Zhen Tang, Ken-Chung Chen, James J. Xia, Dinggang Shen
2017	J	`jnl`	Scalable joint segmentation and registration framework for infant brain images. Neurocomputing Pei Dong, Li Wang, Weili Lin, Dinggang Shen, Guorong Wu
2017	—	`conf`	Segmentation of Craniomaxillofacial Bony Structures from MRI with a 3D Deep-Learning Based Cascade Framework. MLMI@MICCAI Dong Nie, Li Wang, Roger Trullo, Jianfu Li, Peng Yuan, James J. Xia, Dinggang Shen
2016	J	`jnl`	Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model and Multiscale Statistical Features. IEEE Trans. Biomed. Eng. Jun Zhang, Yaozong Gao, Li Wang, Zhen Tang, James J. Xia, Dinggang Shen
2016	—	`conf`	Automatic Segmentation of Hippocampus for Longitudinal Infant Brain MR Image Sequence by Spatial-Temporal Hypergraph Learning. Patch-MI@MICCAI Yanrong Guo, Pei Dong, Shijie Hao, Li Wang, Guorong Wu, Dinggang Shen
2016	—	`conf`	Consistent Multi-Atlas Hippocampus Segmentation for Longitudinal MR Brain Images with Temporal Sparse Representation. Patch-MI@MICCAI Li Wang, Yanrong Guo, Xiaohuan Cao, Guorong Wu, Dinggang Shen
2016	J	`jnl`	Consistent Spatial-Temporal Longitudinal Atlas Construction for Developing Infant Brains. IEEE Trans. Medical Imaging Yuyao Zhang, Feng Shi, Guorong Wu, Li Wang, Pew-Thian Yap, 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	J	`jnl`	Estimating CT Image From MRI Data Using Structured Random Forest and Auto-Context Model. IEEE Trans. Medical Imaging Tri Huynh, Yaozong Gao, Jiayin Kang, Li Wang, Pei Zhang, Jun Lian, Dinggang Shen
2016	—	`conf`	Estimating CT Image from MRI Data Using 3D Fully Convolutional Networks. LABELS/DLMIA@MICCAI Dong Nie, Xiaohuan Cao, Yaozong Gao, Li Wang, Dinggang Shen
2016	—	`conf`	Fully convolutional networks for multi-modality isointense infant brain image segmentation. ISBI Dong Nie, Li Wang, Yaozong Gao, Dinggang Shen
2016	J	`jnl`	In vivo MRI based prostate cancer localization with random forests and auto-context model. Comput. Medical Imaging Graph. Chunjun Qian, Li Wang, Yaozong Gao, Ambereen Yousuf, Xiaoping Yang, Aytekin Oto, 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 3T Brain MRI Segmentation with Guidance from 7T MRI Labeling. MLMI@MICCAI Renping Yu, Minghui Deng, Pew-Thian Yap, Zhihui Wei, Li Wang, 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	—	`ed.`	Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings MLMI@MICCAI Li Wang, Ehsan Adeli, Qian Wang, Yinghuan Shi, Heung-Il Suk
2016	J	`jnl`	Unsupervised 3D shape segmentation and co-segmentation via deep learning. Comput. Aided Geom. Des. Zhenyu Shu, Chengwu Qi, Shi-Qing Xin, Chao Hu, Li Wang, Yu Zhang, Ligang Liu
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 Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model. MICCAI (3) Jun Zhang, Yaozong Gao, Li Wang, Zhen Tang, James J. Xia, 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`	Craniomaxillofacial Deformity Correction via Sparse Representation in Coherent Space. MLMI Zuoyong Li, Le An, Jun Zhang, Li Wang, James J. Xia, Dinggang Shen
2015	J	`jnl`	Deep convolutional neural networks for multi-modality isointense infant brain image segmentation. NeuroImage Wenlu Zhang, Rongjian Li, Houtao Deng, Li Wang, Weili Lin, Shuiwang Ji, Dinggang Shen
2015	—	`conf`	Hierarchical Multi-modal Image Registration by Learning Common Feature Representations. MLMI Hongkun Ge, Guorong Wu, Li Wang, Yaozong Gao, 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	—	`ed.`	Machine Learning in Medical Imaging - 6th International Workshop, MLMI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Proceedings MLMI Luping Zhou, Li Wang, Qian Wang, Yinghuan Shi
2015	—	`conf`	Multi-source Information Gain for Random Forest: An Application to CT Image Prediction from MRI Data. MLMI Tri Huynh, Yaozong Gao, Jiayin Kang, Li Wang, Pei Zhang, 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`	Soft-Split Random Forest for Anatomy Labeling. MLMI Guangkai Ma, Yaozong Gao, Li Wang, Ligang Wu, 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`	Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis. MICCAI (3) Rongjian Li, Wenlu Zhang, Heung-Il Suk, Li Wang, Jiang Li, Dinggang Shen, Shuiwang Ji
2014	—	`conf`	Estimating Anatomically-Correct Reference Model for Craniomaxillofacial Deformity via Sparse Representation. MICCAI (2) Yi Ren, Li Wang, Yaozong Gao, Zhen Tang, Ken-Chung Chen, Jianfu Li, Steve Guo-Fang Shen, Jin Yan, Philip K. M. Lee, Ben Chow, James J. Xia, Dinggang Shen
2014	—	`conf`	In Vivo MRI Based Prostate Cancer Identification with Random Forests and Auto-context Model. MLMI Chunjun Qian, Li Wang, Ambereen Yousuf, Aytekin Oto, Dinggang Shen
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`	Joint Segmentation and Registration for Infant Brain Images. MCV Guorong Wu, Li Wang, 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	—	`conf`	Learning Distance Transform for Boundary Detection and Deformable Segmentation in CT Prostate Images. MLMI Yaozong Gao, Li Wang, Yeqin Shao, Dinggang Shen
2014	—	`conf`	Longitudinal Guided Super-Resolution Reconstruction of Neonatal Brain MR Images. STIA Feng Shi, Jian Cheng, Li Wang, Pew-Thian Yap, 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	—	`conf`	Online Discriminative Multi-atlas Learning for Isointense Infant Brain Segmentation. MLMI Xuchu Wang, Li Wang, Heung-Il Suk, 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`	Sparsity-Learning-Based Longitudinal MR Image Registration for Early Brain Development. MLMI Qian Wang, Guorong Wu, Li Wang, Pengfei Shi, Weili Lin, Dinggang Shen
2013	J	`jnl`	Analysis and classification of speech imagery EEG for BCI. Biomed. Signal Process. Control. Li Wang, Xiong Zhang, Xuefei Zhong, Yu Zhang
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	J	`jnl`	Automatic hippocampus segmentation of 7.0 Tesla MR images by combining multiple atlases and auto-context models. NeuroImage Minjeong Kim, Guorong Wu, Wei Li, Li Wang, Young-Don Son, Zang-Hee Cho, Dinggang Shen
2013	—	`conf`	Extending motor imagery by speech imagery for brain-computer interface. EMBC Li Wang, Xiong Zhang, Yu Zhang
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	—	`conf`	Low-Rank Total Variation for Image Super-Resolution. MICCAI (1) Feng Shi, Jian Cheng, Li Wang, Pew-Thian Yap, Dinggang Shen
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
2013	J	`jnl`	iBEAT: A Toolbox for Infant Brain Magnetic Resonance Image Processing. Neuroinformatics Yakang Dai, Feng Shi, Li Wang, Guorong Wu, 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	—	`conf`	Atlas Construction via Dictionary Learning and Group Sparsity. MICCAI (1) Feng Shi, Li Wang, Guorong Wu, Yu Zhang, Manhua Liu, John H. Gilmore, Weili Lin, Dinggang Shen
2012	J	`jnl`	LABEL: Pediatric brain extraction using learning-based meta-algorithm. NeuroImage Feng Shi, Li Wang, Yakang Dai, John H. Gilmore, Weili Lin, Dinggang Shen
2011	—	`conf`	Accurate and Consistent 4D Segmentation of Serial Infant Brain MR Images. MBIA Li Wang, Feng Shi, Pew-Thian Yap, John H. Gilmore, Weili Lin, Dinggang Shen
2011	J	`jnl`	Automatic segmentation of neonatal images using convex optimization and coupled level sets. NeuroImage Li Wang, Feng Shi, Weili Lin, John H. Gilmore, Dinggang Shen
2011	—	`conf`	Learning-Based Meta-Algorithm for MRI Brain Extraction. MICCAI (3) Feng Shi, Li Wang, John H. Gilmore, Weili Lin, Dinggang Shen
2011	—	`conf`	Segmenting Hippocampus from 7.0 Tesla MR Images by Combining Multiple Atlases and Auto-Context Models. MLMI Minjeong Kim, Guorong Wu, Wei Li, Li Wang, Young-Don Son, Zang-Hee Cho, Dinggang Shen
2010	—	`conf`	Automatic Segmentation of Neonatal Images Using Convex Optimization and Coupled Level Set Method. MIAR Li Wang, Feng Shi, John H. Gilmore, Weili Lin, Dinggang Shen
2009	A*	`conf`	A robust parametric method for bias field estimation and segmentation of MR images. CVPR Chunming Li, Chris Gatenby, Li Wang, John C. Gore
2009	J	`jnl`	Active contours driven by local Gaussian distribution fitting energy. Signal Process. Li Wang, Lei He, Arabinda Mishra, Chunming Li
2009	J	`jnl`	Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation. Comput. Medical Imaging Graph. Li Wang, Chunming Li, Quan-Sen Sun, De-Shen Xia, Chiu-Yen Kao
2009	—	`conf`	Level Set Segmentation Based on Local Gaussian Distribution Fitting. ACCV (1) Li Wang, Jim Macione, Quan-Sen Sun, De-Shen Xia, Chunming Li
2008	—	`conf`	Brain MR Image Segmentation Using Local and Global Intensity Fitting Active Contours/Surfaces. MICCAI (1) Li Wang, Chunming Li, Quan-Sen Sun, De-Shen Xia, Chiu-Yen Kao