Ke Yan
Scholar

Ke Yan

Google Scholar ID: TVGx4KgAAAAJ
Staff Algorithm Engineer, Alibaba DAMO Academy
Deep learningcomputer visionmedical imagemachine learning
Citations & Impact
All-time
Citations
4,453
 
H-index
29
 
i10-index
48
 
Publications
20
 
Co-authors
89
list available
Resume (English only)
Academic Achievements
  • Multiple papers accepted by MICCAI, RSNA, etc.; Awarded as one of the Top 10 Sharers/Speakers in Ping An Technology, 2021; Received the RSNA Trainee Research Prize in 2018.
Research Experience
  • Currently a Staff Algorithm Engineer at Alibaba DAMO Academy, Beijing, China. From 2019 to 2021, he was a Senior Research Scientist at PAII Inc. (Ping An AI Institute), Bethesda, US. Before that, he was a postdoc researcher at the National Institutes of Health, US, mentored by Dr. Ronald Summers and Dr. Le Lu.
Education
  • Ph.D. and BS degrees from the Dept. of Electronic Engineering, Tsinghua University, China, under the supervision of Prof. David Zhang.
Background
  • Research interests include computer vision, medical image analysis, deep learning, and machine learning.
Miscellany
  • Gave invited talks at various academic conferences such as VALSE, MICS, etc.