B.Sc. (Beihang Univ.), Ph.D. (CUHK)
Assistant Professor
IEEE Member
Medical Image Analysis, Machine Learning, Surgical Data Science, Medical Robotics
- Associate Editor, Journal of Machine Learning for Biomedical imaging (MELBA)
Biography
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.
Top Cited Publications
- Yonghao Long, Jieying Wu, Bo Lu, Yueming Jin, Mathias Unberath, Yun-Hui Liu, Pheng Ann Heng, Qi Dou: Relational Graph Learning on Visual and Kinematics Embeddings for Accurate Gesture Recognition in Robotic Surgery. International Conference on Robotics and Automation (ICRA), 2021
- Xiaoxiao Li, Meirui Jiang, Xiaofei Zhang, Michael Kamp, Qi Dou: FedBN: Federated Learning on Non-IID Features via Local Batch Normalization. International Conference on Learning Representations (ICLR), 2021
- Qi Dou, Daniel C. Castro, Konstantinos Kamnitsas, Ben Glocker: Domain Generalization via Model-Agnostic Learning of Semantic Features. Neural Information Processing Systems (NeurIPS), 2019
- Qi Dou, Lequan Yu, Hao Chen, Yueming Jin, Xin Yang, Jing Qin, Pheng Ann Heng: 3D Deeply Supervised Network for Automated Segmentation of Volumetric Medical Images. Medical Image Analysis, 2017
- Qi Dou*, Hao Chen*, Lequan Yu, Lei Zhao, Jing Qin, Defeng Wang, Vincent CT Mok, Lin Shi, Pheng Ann Heng: Automatic Detection of Cerebral Microbleeds from MR Images via 3D Convolutional Neural Networks. IEEE Transactions on Medical Imaging, 2016
Achievements and Awards
- 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