Faye Warren
Teams and roles for Faye Warren
Graduate Demonstrator
Research student
Overview
I am a Medical PhD student with a strong interest in the integration and use of AI in healthcare.
My research focuses on developing and evaluating a deep-learning model for automated segmentation of PET-CT images. The project also adopts a human-centered AI approach, which focuses on developing models that are transparent, interpretable, and accountable to end-users.
I'm working as part of the Interdisciplinary Precision Oncology Cardiff Hub (IPOCH, https://ipoch-research.org/).
Publication
2026
- Warren, F. et al. 2026. PDSC: a dynamic stopping criterion for active learning in medical image segmentation: a multi-dataset evaluation. Presented at: SPIE Medical Imaging, 2026 Vancouver, BC, Canada 15-19 February 2026. Published in: Gan, Y. and Mitra, J. eds. SPIE Proceedings. Vol. 13925.SPIE(10.1117/12.3085817)
2025
- Warren, F. et al. 2025. A feature-driven acquisition strategy using scale-invariant descriptors for deep active learning in preclinical CT segmentation. Presented at: 29th Medical Image Understanding and Analysis Conference Leeds, UK 15-17 July 2025. Published in: Ali, S. , Hogg, D. C. and Peckham, M. eds. Proceedings of MIUA. Vol. 15918.Annual Conference on Medical Image Understanding and Analysis Springer. , pp.129-145. (10.1007/978-3-031-98694-9_10)
Conferences
- Warren, F. et al. 2026. PDSC: a dynamic stopping criterion for active learning in medical image segmentation: a multi-dataset evaluation. Presented at: SPIE Medical Imaging, 2026 Vancouver, BC, Canada 15-19 February 2026. Published in: Gan, Y. and Mitra, J. eds. SPIE Proceedings. Vol. 13925.SPIE(10.1117/12.3085817)
- Warren, F. et al. 2025. A feature-driven acquisition strategy using scale-invariant descriptors for deep active learning in preclinical CT segmentation. Presented at: 29th Medical Image Understanding and Analysis Conference Leeds, UK 15-17 July 2025. Published in: Ali, S. , Hogg, D. C. and Peckham, M. eds. Proceedings of MIUA. Vol. 15918.Annual Conference on Medical Image Understanding and Analysis Springer. , pp.129-145. (10.1007/978-3-031-98694-9_10)
News articles
Contact Details
Research themes
Specialisms
- Artificial intelligence
- Machine learning
- precision oncology
