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Principal Investigator

Gang LiGang Li

Dr. Gang Li is an Assistant Professor in the University of North Carolina at Chapel Hill. He completed his PhD in 2010 from Northwestern Polytechnical University. He was a Research Fellow at The Methodist Hospital Research Institute, Weill Medical College of Cornell University (2007-2008) and a Research Assistant at Harvard Medical School (2005-2007).


Postdoctoral Fellows

Zhengwang WuZhengwang Wu

Dr. Zhengwang Wu is a postdoc researcher at the University of North Carolina at Chapel Hill. He got his PhD degree on pattern recognition and intelligent system from Xi’an Jiaotong University, China. His research focuses on computer vision, machine learning, pattern recognition methods and their applications on medical image segmentation, classification and visualization. He is currently working on infant cortical surface atlas construction and computational pipeline development, as well as using state-of-the-art machine learning methods for infant MRI data analysis.

 

Fan WangFan Wang

Dr. Fan Wang is a post-doc researcher with the University of North Carolina at Chapel Hill. She has received her Ph.D. in computer science from INSA de Rouen, France in 2016. Her current research focuses on building the postnatal brain parcellation map based on functional and/or structural information.

 

Dan HuDan Hu

Dr. Dan Hu is a post-doc researcher with the University of North Carolina at Chapel Hill. She has received her Ph.D. in applied mathematics from Beijing Normal University in 2005. Her current research focuses on the study of infant brain development based on functional and/or structural information.

 

Liangjun ChenLiangjun Chen

Dr. Liangjun Chen is a postdoc researcher at the University of North Carolina at Chapel Hill. He has received his Ph.D. in computer science from Xi’an Jiaotong University, China. His research focuses on machine learning and their applications on medical image segmentation, classification, and visualization. He is currently working on using state-of-the-art machine learning methods for intensity nonuniformity correction of infant brain MR images.


Visiting Scholars/Students

 

Xin ZhangXin Zhang

Dr. Xin Zhang is an Associate Professor in School of Electronics and Information, South China University of Technology. She completed her Ph.D. degree in 2011 from Oklahoma State University, U.S. Her research focuses on computer vision, machine learning and their applications on non-rigid object motion estimation and recognition. Her major research topic here is deep learning based infant brain development analysis.

 


Fenqiang ZhaoFenqiang Zhao

Fenqiang Zhao is a Ph.D. candidate at the College of Biomedical Engineering & Instrument Science, Zhejiang University in China. He mainly works on surface mesh-based deep learning methods for analyzing infant cortical surface data.

 

Lufan LiaoLufan Liao

Lufan Liao is currently a master student at School of Electronics and Information, South China University of Technology. He is now working on MRI-based deep learning methods for fetal age prediction.

 

Ying HuangYing Huang

Ying Huang is a Ph.D. candidate at the School of Automation, Northwestern Polytechnical University in China. Her current research focuses on the analysis of infant brain development based on functional and/or structural information.

 

Tao ZhongTao Zhong

Tao Zhong is a Ph.D candidate at the School of Biomedical Engineering, Southern Medical University. His work mainly focus on deep learning based fetal and infant brain image segmentation.

 

Yuchen PeiYuchen Pei

Yuchen Pei is a Ph.D. candidate from the School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University. Her current research focuses on fetal brain reconstruction based on deep learning.


Alumni

Yu Meng
Dr. Yu Meng
now with Google, US
Islem
Dr. Islem Rekik
now with University
of Dundee, UK
Haojie Shi
Dr. Shijie Hao
now with HFUT, China
oualid
Oualid Benkarim
Ph.D. candidate at UPF,
Spain
Dingna Duan
Dr. Dingna Duan
Dr. Jing Xia
Dr. Jing Xia
Dr. LiangSun
Dr. Liang Sun
Dr. Zengsi Chen
Dr. Zengsi Chen
now with China Jiliang
University, China