Lequan Yu

Postdoctoral Research Fellow

1070 Arastradero Road,
Dept. of Radiation Oncology
Stanford University
Palo Alto, CA 94304

Email: lequany at stanford dot edu


I am a postdoctoral research fellow in Stanford University, working with Prof. Lei Xing. Before that, I obtained my Ph.D. degree in the Department of Computer Science and Engineering, The Chinese University of Hong Kong, supervised by Prof. Pheng-Ann Heng and Prof. Chi-Wing Fu in July 2019. Previously, I received the B. Eng degree from Department of Computer Science and Technology in Zhejiang University in 2015, under the supervision of Prof. Deng Cai.

My research lies at the intersection of medical imaging and artificial intelligence. I am dedicated to designing data-efficient learning methods for biomedical image analysis and reconstruction. I also have expertise in deep learning for 3D vision. Recently, I am working on new learning algorithms while minimizing human supervision and medical image reconstruction.


Selected Publications [Google Scholar]


Honors & Awards

Teaching Assistant of Merit, 2018
MedIA-MICCAI'17 Best Paper Award, 2017
AAAI Scholarship, San Fransisco, USA, 2017
Champion, Optic Disc&Cup Segmentation on Retinal Fundus Images (REFUGE 2018)
Champion, Whole-Heart and Great Vessel Segmentation (HVSMR 2016)
Champion, Skin Lesion Analysis Towards Melanoma Detection Challenge (ISIC 2016)
Champion, Prostate MR Image Segmentation 2012 (PROMISE12, until 2018 Jan.)
National Scholarship in China (1.8%), 2012-2014
He Zhijun Scholarship (1/300+, Highest Honor in College of Computer Science, Zhejiang University), 2014
Kwanjeong Educational Foundation Scholarship, 2012-2014
Meritorious Winner, Interdisciplinary Contest in Modeling (ICM), Consortium for Mathematics and Its Application, 2014
The Outstanding Undergraduate Award (Awarded by CCF, 100 undergraduates every year in China), 2014
Outstanding Graduates of Zhejiang University, 2015

Professional Activities

  • Conference Reviews:
    SIGGRAPH 2020
    European Conference on Computer Vision (ECCV) 2020
    International Conference on Computer Vision and Pattern Recognition (CVPR) 2020
    AAAI Conference on Artificial Intelligence (AAAI) 2020
    IEEE Winter Conference on Applications of Computer Vision (WACV) 2020
    International Conference on Computer Vision (ICCV) 2019
    International Conference on Computer Vision and Pattern Recognition (CVPR) 2019
    International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2019
    International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018

  • Journal Reviews:
    Medical Image Analysis (MedIA)
    Scientific Reports
    IEEE Transactions on Medical Imaging (TMI)
    IEEE Transactions on Image Processing (TIP)
    IEEE Transactions on Biomedical Engineering (TBME)
    IEEE Transactions on Automation Science and Engineering (TASE)
    IEEE Journal of Biomedical and Health Informatics (JBHI)
    IEEE Robotics and Automation Letters (RA-L)
    IEEE Access
    International Journal of Computer Assisted Radiology and Surgery (IJCARS)
    International Journal of Medical Informatics
    Artificial Intelligence in Medicine
    SPIE Journal of Electronic Imaging (JEI)
    Computer Methods and Programs in Biomedicine (CMPB)
    Informatics in Medicine Unlocked
    Signal Processing

  • Teaching

    2015-2016FallCSCI1130 Introduction to Computing Using Java
    2015-2016SpringCSCI3180 Principles of Programming Languages
    2016-2017FallENGG5108 Big Data Analytics
    2016-2017SpringCSCI3150 Introduction to Operating Systems
    2017-2018FallCSCI3150 Introduction to Operating Systems
    2017-2018SpringCSCI3150 Introduction to Operating Systems