B.Sc. (Beihang Univ.), Ph.D. (CUHK)
Assistant Professor
IEEE Member
Medical Image Analysis, Surgical Data Science
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 robot-assisted surgery, with the mission to advance disease diagnosis and intervention via machine intelligence. In this area, she has published over 70 papers in top-tier conferences and journals with 6 ESI highly cited articles. Dr. Dou has won the Best Paper Award of Medical Image Analysis-MICCAI in 2017, the Best Paper Award of Medical Imaging and Augmented Reality in 2016, the MICCAI Young Scientist Award Runner-up in 2016, the Hong Kong Institute of Science Young Scientist Award 2018, and the CUHK Engineering Faculty Outstanding Thesis Award 2018. Dr. Dou serves as the Programme Co-chair of MIDL 2021, Co-organizer of NeurIPS Workshop on Medical Imaging, Co-organizer of MICCAI Workshop on Operating Room 2.0, SPC of AAAI 2021 and IJCAI 2021. 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.
- 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*, Cheng Ouyang*, Cheng Chen, Hao Chen, Pheng Ann Heng: Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss. International Joint Conference on Artificial Intelligence (IJCAI), 2018
- Qi Dou, Hao Chen, Lequan Yu, Jing Qin, Pheng Ann Heng: Multi-level Contextual 3D CNNs for False Positive Reduction in Pulmonary Nodule Detection. IEEE Transactions on Biomedical Engineering, 2017
- 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
- Featured as Woman in Science, RSIPvision Computer Vision News Magazine, 2020
- 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