
Dr Qianhui Men
BSc, MSc, PhD
Current positions
Contact
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Biography
Qianhui Men is a lecturer of digital health at the University of Bristol. She is also a visiting fellow in the Department of Engineering Science, University of Oxford. Before joining Bristol, she was a postdoctoral research associate in the Biomedical Image Analysis group at Oxford, supervised by Prof. Alison Noble.
Her research focuses on multi-modal deep learning for biomedical data analysis and the development of trustworthy algorithms for computer-assisted diagnosis.
Currently accepting PhD applications focused on developing multimodal AI methods for advanced healthcare data analysis. Please get in touch if you are interested.
Her research focuses on multi-modal deep learning for biomedical data analysis and the development of trustworthy algorithms for computer-assisted diagnosis.
Currently accepting PhD applications focused on developing multimodal AI methods for advanced healthcare data analysis. Please get in touch if you are interested.
Publications
Recent publications
28/08/2026Evaluation Protocols and Validation for Cameras in Indoor Healthcare Monitoring
Sensors
Real‐Time and Controllable Reactive Motion Synthesis via Intention Guidance
Computer Graphics Forum
ScanAhead: Simplifying standard plane acquisition of fetal head ultrasound
Medical Image Analysis
MMSummary: 27th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2024 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 - 27th International Conference, Proceedings
Pose-GuideNet: 27th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2024 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 - 27th International Conference, Proceedings

