Dr. Baiying Lei

Department of Medical Information Engineering, Shenzhen University, China

Website: https://scholar.google.com/citations?user=B4mpDHgAAAAJ&hl=en

Lecture title: “Multi-modal and Multi-time Neuroimaging Learning for Brain Disease Analysis”


Dr. Lei received her M. Eng degree in electronics science and technology from Zhejiang University, China, and Ph.D. degree from Nanyang Technological University (NTU), Singapore, respectively. Her research interests include medical image analysis, artificial intelligence, and pattern recognition. In these areas, she has published more than 200 scientific articles in refereed international journals such as the IEEE Transactions on Medical Imaging, Medical Image Analysis, IEEE Transactions on Cybernetics and IEEE Transactions on Biomedical Engineering; and conference proceedings such as AAAI, and MICCAI. Among them, more than 90 SCI journals have been published as the first author or corresponding author (32 IEEE, 35 as the first authors, 56 as the corresponding author, 18 IEEE Transactions, 1 ESI). She has 14 authorized patents as the first inventor. She has served more than 30 journals as a reviewer. She has been a principal investigator of 18 grants including national science foundation of China (NSFC), Ministry of Science and Technology (MOST), NSFC of Guangdong province. She has obtained the first prize of Shenzhen Science and Technology Award, and third prize of Wenjun Wu Artificial Intelligence Science and Technology Award.

She is a receipt of Distinguished Changjiang Young Scholar of Chinese Ministry of Education, IEEE senior member and has served as Technical Committee members of IEEE Bio Imaging Signal Processing (BISP) and IEEE Biomedical Imaging and Image Processing (BIIP), program committee member for several international and native conferences such as IJCAI and AAAI. She is a MICCAI member, AAAI member, SPIE member. She is a committee member of the Machine Learning Society of the Chinese Association of Artificial Intelligence (CAAI), and the Artificial Intelligence & Pattern Recognition Society of the China Computer Federation (CCF). She currently serves as the Associator Editor of IEEE Transactions on Medical Imaging (IEEE-TMI), IEEE Transactions on Neural Networks and Learning Systems (IEEE-TNNLS), editorial board member of Medical Image Analysis (MedIA), Neural Computing and Application (NCAA), Scientific Reports, Frontiers in Neuroinformatics, Frontiers in Aging Neuroscience, and Academic Editor of PLoS One.

Dr. Lei supervised (or co-supervised) more than 70 PhD/master students, who are now working mostly in the domain of medical image computing, especially for medicine. One master student has achieved the champion of Automatic Structure Segmentation for Radiotherapy Planning Challenge 2019 (https://structseg2019.grand-challenge.org/Home/ ) and Automatic Gleason grading of prostate cancer in digital histopathology challenge 2019 (http://gleason2019.grand-challenge.org/Home/). One master student has achieved 3rd place of 2nd Retinal Fundus Glaucoma Challenge (https://sites.google.com/view/omia7/retouch-challenge ) One master student has wined Best Oral Presentation Award at OMIA7 – 7th Ophthalmic Medical Image Analysis Workshop (https://sites.google.com/view/omia7/home ).Theoretical and algorithmic contributions of Dr. Lei’s team has often been integrated into concrete applications through close partnerships with industrial and clinical partners.