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Q
Qi Dou
H指数:71
被引数:2.8万
个人简介
Prof. Qi Dou is currently an Associate Professor at the Department of Computer Science and Engineering at The Chinese University of Hong Kong (CUHK). She is an affiliated member of CUHK T-Stone Robotics Institute, CUHK Institute of Medical Intelligence and XR, Hong Kong Multi-scale Medical Robotics Center, and Hong Kong Centre for Logistics Robotics. Her research is at the interdisciplinary field of AI and robotics technologies for medical applications including autonomous surgical robot, medical imaging, safe embodied AI, etc. Prof. Dou's research work has received a number of international and national awards, including IEEE EMBS Early Career Achievement Award (2023), Ministry of Education Higher Education Outstanding Scientific Research Output Award — Second-class Award in Natural Sciences (2022), First Prize of Beijing Science and Technology Progress Award (2022), Hong Kong Institution of Science Young Scientist Award (2018). Her publications have received a number of prestigious best paper awards and nominations, including IJCARS-MICCAI Best Paper Awards (2021 & 2024), MICCAI Best Paper Award Finalists (2023 & 2024), MICCAI Young Scientist Publication Award (2022), IEEE ICRA Best Paper Award in Medical Robotics (2021), IEEE TBME Prize Paper Award (2021), MedIA-MICCAI Best Paper Award (2017). Her team's research outputs appear in Nature (1), Science Robotics (2), Nature Machine Intelligence, Nature Communications (3), npj Digital Medicine (2), npj Digital Surgery (2), and top-tier conferences in AI, robotics and interdisciplinary venues. She serves as General Co-Chair for MICCAI 2026, Program Co-Chair for MICCAI 2024, IPCAI 2023, MICCAI 2022, and MIDL 2022, and Area Chairs for ICML, NeurIPS, CVPR, ICRA, IROS, etc. She serves as the Associate Editor for international journals including IEEE Transactions on Medical Imaging, Medical Image Analysis, IEEE Transactions on Biomedical Engineering, IEEE Robotics and Automation Letters, Computer Assisted Surgery, and founding editorial board of npj Digital Surgery. Qi has received the Young Researcher Award (2024-25) and Exemplary Teaching Award (2022) at CUHK. Before joining CUHK faculty, she obtained Bachelor's degree at Beihang University in 2014, Ph.D. degree at CUHK in 2018, and worked as a postdoc fellow at Imperial College London.
教育背景
2014.12
Beihang University Bachelor's degree
2018.12
CUHK Ph.D. degree
工作经历
暂无内容
荣誉奖项
- IEEE EMBS Early Career Achievement Award（2023）｜IEEE EMBS
- Ministry of Education Higher Education Outstanding Scientific Research Output Award — Second-class Award in Natural Sciences（2022）｜Ministry of Education
- First Prize of Beijing Science and Technology Progress Award（2022）｜Beijing
- Hong Kong Institution of Science Young Scientist Award（2018）｜Hong Kong Institution of Science
- IJCARS-MICCAI Best Paper Awards（2021 & 2024）｜IJCARS-MICCAI
- MICCAI Best Paper Award Finalists（2023 & 2024）｜MICCAI
- MICCAI Young Scientist Publication Award（2022）｜MICCAI
- IEEE ICRA Best Paper Award in Medical Robotics（2021）｜IEEE ICRA
- IEEE TBME Prize Paper Award（2021）｜IEEE TBME
- MedIA-MICCAI Best Paper Award（2017）｜MedIA-MICCAI
- Young Researcher Award（2024-25）｜CUHK
- Exemplary Teaching Award（2022）｜CUHK
- Hong Kong Research Grants Council (RGC) Research Fellow（2026）｜Hong Kong Research Grants Council (RGC)
- MIT Technology Review Innovators Under 35 (TR35) China（2026）｜MIT Technology Review
- IEEE ICRA Best Paper Award in Medical Robotics Finalist（2026）｜IEEE ICRA
- HE Science Foundation Research Fellowship Program of Young Scientists（2025）｜HE Science Foundation
- CUHK Young Researcher Award（2024）｜CUHK
- Best Paper Award 3d Prize of IJCARS-MICCAI 2022 Special Issue（2024）｜IJCARS-MICCAI
- NSFC Excellent Young Scientists Fund (Hong Kong & Macau)（2024-2026）｜NSFC
- IEEE Engineering in Medicine and Biology Society (EMBS) Early Career Award（2023）｜IEEE EMBS
- Beijing Science and Technology Award — First-class Award in Science and Technology Progress Award（2022）｜Beijing
- 国家教育部高等学校科学研究优秀成果奖(科学技术), 自然科学二等奖（2022）｜国家教育部
- IEEE Trans. on Medical Imaging Distinguished Reviewer, Platinum Level（2022）｜IEEE Trans. on Medical Imaging
- CUHK Department Exemplary Teaching Award（2022）｜CUHK Department
- IEEE EMBS Prize Paper Award 2nd Place, Trans. on Biomedical Engineering（2021）｜IEEE EMBS
- MICCAI Young Scientist Publication Impact Paper Award Finalist（2021）｜MICCAI
- 1st Prize of IJCARS-MICCAI Best Paper Award（2021）｜IJCARS-MICCAI
- IEEE Trans. on Medical Imaging Distinguished Reviewer, Gold Level（2021）｜IEEE Trans. on Medical Imaging
- Hong Kong Institution of Science Young Scientist Award in Engineering Science（2018）｜Hong Kong Institution of Science
- CUHK Faculty Outstanding Thesis Award（2018）｜CUHK Faculty
- Best Paper Award of Elsevier Medical Image Analysis-MICCAI（2017）｜Elsevier Medical Image Analysis-MICCAI
SegSTRONG-C：在非对抗性生成的“干扰”下鲁棒地分割手术器械——一个EndoVis’24挑战
MotionDreamer：生成复杂运动插值中的连续中间运动
LEGO：基于少量演示学习并执行通用操作技能链，实现自主条件自适应外科打结
DSTED：解耦时间稳定化和判别增强以进行手术流程识别
一种通过检索增强的框架，使视觉语言模型具备空间感知能力以实现以对象为中心的机器人操作
Science Robotics
IF27.5
实时单目2-D和3-D内腔场景感知，用于控制柔性机器人内窥镜器械
呼吸运动下极端心脏MRI分析：CMRxMotion挑战赛的结果
Medical Image Analysis
IF11.8
基于提示驱动基础模型的无监督跨模态MR图像分割
腹腔镜机器人辅助手术中广义任务自主性的手术体现智能
Science Robotics
IF27.5
小型但强大：轻量级架构改进肺结节检测与分割
在有限数据和初始化约束条件下从非线性系统中学习线性化模型
Automatica
IF5.9
通过联合肿瘤分割 (FeTS) 挑战实现医疗AI算法的公平分散基准测试
Nature Communications
IF15.7
SE(3)等变性学习用于弱监督物体位姿估计的规范形状重建
在飞行中改进医学图像分割的任何物体分割方法：使用辅助在线学习
DIH-Tele：基于触觉感知学习多物体操作的灵巧手控遥操作框架
开发机器学习预测模型和风险评分系统，用于评估合并II型糖尿病的乳腺癌患者的生存情况：一项回顾性队列研究
使用机器学习预测2型糖尿病肺癌患者的长期生存率：一项20年队列研究
