
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
20/05/2026Structure-Augmented Standard Plane Detection with Temporal Aggregation in Blind-Sweep Fetal Ultrasound: 23rd IEEE International Symposium on Biomedical Imaging, ISBI 2026 - Proceedings - International Symposium on Biomedical Imaging
ISBI 2026 - 23rd IEEE International Symposium on Biomedical Imaging
Evaluation 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
