Cheng Ouyang
Scholar

Cheng Ouyang

Google Scholar ID: Ss_HBpcAAAAJ
University of Oxford
Cardiovascular imagingMedical imaging computing
Citations & Impact
All-time
Citations
2,406
 
H-index
20
 
i10-index
28
 
Publications
20
 
Co-authors
14
list available
Resume (English only)
Academic Achievements
  • Published multiple papers in top conferences such as EMNLP, ICCV, MICCAI; Awarded among Top Reviewers for NeurIPS 2024; Led various research projects including the development of MedVLM-R1 model; Involved in organizing several academic events like MICCAI satellite meetings.
Research Experience
  • Lecturer in Healthcare Imaging at the Department of Engineering Science, University of Oxford; Postdoctoral Researcher at the Institute of Clinical Sciences, Imperial College London, focusing on cardiac imaging.
Education
  • PhD in Computing Research from the Department of Computing, Imperial College London, focusing on machine learning for cardiac MRI.
Background
  • Lecturer (Assistant Professor) in Healthcare Imaging at the Department of Engineering Science, University of Oxford. His research focuses on machine learning approaches for medical image analysis. Prior to joining Oxford, he worked as a postdoctoral researcher on cardiac imaging at the Institute of Clinical Sciences, Imperial College London. Research interests include: multimodal learning for medical images, data-efficient and trustworthy machine learning, human-machine collaboration, etc.
Miscellany
  • Looking for highly motivated students to work on machine learning for medical image analysis; Actively participates in numerous international conferences and workshops, serving in key roles such as Area Chair for MICCAI 2025.