Trosolwyg
Rwy'n fyfyriwr PhD Meddygol sydd â diddordeb mawr mewn integreiddio a defnyddio AI mewn gofal iechyd.
Mae fy ymchwil yn canolbwyntio ar ddatblygu a gwerthuso model dysgu dwfn ar gyfer segmentu awtomataidd o ddelweddau PET-CT. Mae'r prosiect hefyd yn mabwysiadu dull AI sy'n canolbwyntio ar bobl, sy'n canolbwyntio ar ddatblygu modelau sy'n dryloyw, yn ddealladwy ac yn atebol i ddefnyddwyr terfynol.
Rwy'n gweithio fel rhan o Ganolfan Oncoleg Rhyngddisgyblaethol Precision Caerdydd (IPOCH, https://ipoch-research.org/).
Cyhoeddiad
2025
- Warren, F., Paisey, S., Spezi, E., Lai, Y. and Smith, R. 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 Presented at 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., Paisey, S., Spezi, E., Lai, Y. and Smith, R. 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 Presented at 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)
Goruchwylwyr
Contact Details
Themâu ymchwil
Arbenigeddau
- Deallusrwydd artiffisial
- Dysgu peirianyddol
- oncoleg fanwl