Guotai Wang   

Guotai Wang
Professional Title:Associate Professor
Supervisor of Master's Candidates
Academic Titles:Associate Professor

MORE> Recommended MA Supervisor
Language:English

Personal Profile

Short Bio

I'm an Associtate Professor at the school of Mechanical and Electrical Engieering, University of Electronic Science and Techology of China. My research interests include medical image analysis, deep learning and computer vision.  I obtained my Ph.D. degree in the department of medical physics and biomedical engineering, University College London in 2018, and supervised by Sebastien Ourselin and Tom Vercauteren.  I obtained my Master's and Bachelor's degrees of Biomedical Engineering from Shanghai Jiao Tong University in 2011 and 2014, respectively. 


Google scholar page: https://scholar.google.co.uk/citations?user=Z2sFN4EAAAAJ&hl=en

Website of my group: http://faculty.uestc.edu.cn/HiLab/zh_CN/index.htm

GitHub: https://github.com/HiLab-git/


Recent News

[2021/10] Paper on semi-supervised segmentation accepted by IEEE TMI

[2021/05] Paper on Generalizable Interactive Segmentation Method accepted by Medical Image Analysis. 

[2021/06] I will serve as a Guest Editor for Medical Image Analysis Spedical Issue on Explainable and Generalizable Deep Learning Methods for Medical Image Computing.

[2021/03] I will serve as an Associate Editor for ISBI 202I, and an Area Chair for MICCAI 2021

[2020/12] Paper on Annotation-Efficient Learning for Medical Image Segmentation accepted by IEEE TMI

[2020/10] Paper on Comprehensive Attention Convolutional Neural Networks accepted by IEEE TMI

[2020/07] Paper on Ischemic Stroke Lesion Segmentation from CT Perfusion Images accepted by Medical Image Analysis.

[2020/06] Paper on COVID-19 pneumonia lesion segmentation from CT images accepted by IEEE TMI

[2019/11] Paper on fetal brain localization, segmentation and super-resolution reconstruction accepted by NeuroImage.

[2019/06] Paper on deep learning-based interative segmentation (DeepIGeoS) published by IEEE TPAMI


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