B.Sc. (Beihang Univ.), Ph.D. (CUHK)
Assistant Professor
IEEE Member

Medical Image Analysis, Machine Learning, Surgical Data Science, Medical Robotics
Research Areas
  • Applications
  • Artificial Intelligence
    • Deep Learning
    • Machine Learning
    • Medical Image Analysis
    • Robotics
  • Rich Media


  • Associate Editor, Journal of Machine Learning for Biomedical imaging (MELBA)


Dr. Qi DOU is an Assistant Professor with the Department of Computer Science & Engineering, and co-affiliated with T Stone Robotics Institute, at The Chinese University of Hong Kong. Her research interest lies in the interdisciplinary area of artificial intelligence and healthcare with expertise in medical image analysis and robotic surgery, with the mission to advance disease diagnosis and minimally invasive intervention via machine intelligence. In this area, she has published over 80 papers in top-tier conferences and journals with 8 ESI highly cited articles. Dr. Dou has won the IEEE ICRA Best Paper Award in Medical Robotics in 2021, Hong Kong Institute of Science Young Scientist Award in 2018, CUHK Engineering Faculty Outstanding Thesis Award in 2018, Best Paper Award of Medical Image Analysis-MICCAI in 2017, Best Paper Award of Medical Imaging and Augmented Reality in 2016, MICCAI Young Scientist Award Runner-up in 2016. Dr. Dou serves as the Programme Chair of MIDL 2021, SPC of AAAI 2021 and IJCAI 2021, Organization Committee of a series of workshops on healthcare and medical imaging related topics in top conferences such as NeurIPS, ICML, CVPR, ICCV, MICCAI. Before joining CUHK faculty, Dr. Dou was a postdoctoral research associate with BioMedIA Lab at the Department of Computing at Imperial College London. She received her Ph.D. degree in Computer Science & Engineering at CUHK in 2018, and Bachelor’s degree in Biomedical Engineering at Beihang University in 2014.

  • IEEE ICRA Best Paper Award, Medical Robotics, 2021
  • CUHK Faculty Outstanding Thesis Award, 2018
  • Hong Kong Institution of Science Young Scientist Award in Engineering Science, 2018
  • Best Paper Award of Medical Image Analysis, MICCAI 2017
  • Winner of Challenge on Lung Nodule False Positive Reduction, ISBI, 2016