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Prof. Qi Dou is an Associate Professor in the Department of Computer Science and Engineering at The Chinese University of Hong Kong. Her research focuses on AI and robotics technologies for medical applications, including autonomous surgical robots, medical imaging, and safe embodied AI. She is affiliated with several research centers at CUHK, including the Hong Kong Multi-scale Medical Robotics Center. Prof. Dou has received several awards, including the IEEE EMBS Early Career Achievement Award (2023) and the Hong Kong Young Scientist Award (2018). She has also served in various leadership roles in international conferences and journals.


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Qi Dou is an Associate Professor at The Chinese University of Hong Kong, specializing in Surgical Robotics, Medical Image Analysis, Machine Learning, and Embodied AI. His research focuses on developing advanced algorithms for medical image segmentation, such as liver and tumor segmentation from CT volumes, and improving diagnostic accuracy through deep learning techniques. He has contributed to benchmarking efforts like the Liver Tumor Segmentation (LiTS) challenge and explored federated learning for medical imaging tasks. His work also includes automated detection of pulmonary nodules, cerebral microbleeds, and melanoma recognition, emphasizing the integration of AI in healthcare for clinical applications.

Source: google_scholar · 98 words
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