![Abdulkerim Duman MSc](https://profiles-cardiff.imgix.net/attachments/4971?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Mr Abdulkerim Duman
(he/him)
MSc
Teams and roles for Abdulkerim Duman
Graduate Demonstrator
Overview
After graduation with biomedical engineering in Turkey, I started an MSc programme in biomedical engineering with bioelectronic stream at Newcastle University. I worked in a start-up company in Istanbul/Turkey after graduating with the MSc degree with distinction. I have used Python and MATLAB during my master and work for signal processing and computer vision/image processing.
I am a postgraduate researcher in the School of Engineering at Cardiff University at the moment. My PhD project is linked with glioblastoma, deep learning, radiomics. I am doing my research as a member of Life Imaging and Data Analytics (LIDA) research team.
Publication
2025
- Duman, A. 2025. Radiomics enhanced machine learning-based classifier to improve survival estimation in glioblastoma multiforme. PhD Thesis , Cardiff University.
2024
- Doherty, C. et al., 2024. Investigating the feasibility of MRI auto-segmentation for Image Guided Brachytherapy. Presented at: Cardiff University Engineering Research Conference 2023 Cardiff, UK 12-14 July 2023. Published in: Spezi, E. and Bray, M. eds. Proceedings of the Cardiff University Engineering Research Conference 2023. Cardiff: Cardiff University Press. , pp.11-14. (10.18573/conf1.d)
- Duman, A. et al. 2024. Evaluation of radiomic analysis over the comparison of machine learning approach and radiomic risk score on glioblastoma. Presented at: Cardiff University Engineering Research Conference 2023 Cardiff, UK 12-14 July 2023. Published in: Spezi, E. and Bray, M. eds. Proceedings of the Cardiff University Engineering Research Conference 2023. Cardiff: Cardiff University Press. , pp.19-22. (10.18573/conf1.f)
- Duman, A. et al. 2024. Generalizability of deep learning models on brain tumour segmentation. Presented at: Cardiff University Engineering Research Conference 2023 Cardiff, UK 12-14 July 2023. Published in: Spezi, E. and Bray, M. eds. Proceedings of the Cardiff University Engineering Research Conference 2023. Cardiff: Cardiff University Press. , pp.3-5. (10.18573/conf1.b)
- Duman, A. et al. 2024. Reproducible and interpretable machine learning-based radiomic analysis for overall survival prediction in glioblastoma multiforme. Cancers 16 (19) 3351. (10.3390/cancers16193351)
2023
- Duman, A. et al. 2023. PO-1620 Transferability of deep learning models to the segmentation of gross tumour volume in brain cancer. Radiotherapy & Oncology 182 (S1), pp.S1315-S1316. (10.1016/S0167-8140(23)66535-1)
- Duman, A. et al. 2023. RFS+: A clinically adaptable and computationally efficient strategy for enhanced brain tumor segmentation. Cancers 15 (23) 5620. (10.3390/cancers15235620)
- Mehmetbeyoglu Duman, E. et al. 2023. From data to insights: machine learning empowers prognostic biomarker prediction in Autism. Journal of Personalized Medicine 13 (12) 1713. (10.3390/jpm13121713)
Articles
- Duman, A. et al. 2023. PO-1620 Transferability of deep learning models to the segmentation of gross tumour volume in brain cancer. Radiotherapy & Oncology 182 (S1), pp.S1315-S1316. (10.1016/S0167-8140(23)66535-1)
- Duman, A. et al. 2023. RFS+: A clinically adaptable and computationally efficient strategy for enhanced brain tumor segmentation. Cancers 15 (23) 5620. (10.3390/cancers15235620)
- Duman, A. et al. 2024. Reproducible and interpretable machine learning-based radiomic analysis for overall survival prediction in glioblastoma multiforme. Cancers 16 (19) 3351. (10.3390/cancers16193351)
- Mehmetbeyoglu Duman, E. et al. 2023. From data to insights: machine learning empowers prognostic biomarker prediction in Autism. Journal of Personalized Medicine 13 (12) 1713. (10.3390/jpm13121713)
Conferences
- Doherty, C. et al., 2024. Investigating the feasibility of MRI auto-segmentation for Image Guided Brachytherapy. Presented at: Cardiff University Engineering Research Conference 2023 Cardiff, UK 12-14 July 2023. Published in: Spezi, E. and Bray, M. eds. Proceedings of the Cardiff University Engineering Research Conference 2023. Cardiff: Cardiff University Press. , pp.11-14. (10.18573/conf1.d)
- Duman, A. et al. 2024. Evaluation of radiomic analysis over the comparison of machine learning approach and radiomic risk score on glioblastoma. Presented at: Cardiff University Engineering Research Conference 2023 Cardiff, UK 12-14 July 2023. Published in: Spezi, E. and Bray, M. eds. Proceedings of the Cardiff University Engineering Research Conference 2023. Cardiff: Cardiff University Press. , pp.19-22. (10.18573/conf1.f)
- Duman, A. et al. 2024. Generalizability of deep learning models on brain tumour segmentation. Presented at: Cardiff University Engineering Research Conference 2023 Cardiff, UK 12-14 July 2023. Published in: Spezi, E. and Bray, M. eds. Proceedings of the Cardiff University Engineering Research Conference 2023. Cardiff: Cardiff University Press. , pp.3-5. (10.18573/conf1.b)
Thesis
- Duman, A. 2025. Radiomics enhanced machine learning-based classifier to improve survival estimation in glioblastoma multiforme. PhD Thesis , Cardiff University.
Teaching
Demonstrator
CMT309: Computational Data Science 2022-
Contact Details
[email protected]
Queen's Buildings - North Building, Room N1.51, 5 The Parade, Newport Road, Cardiff, CF24 3AA
Queen's Buildings - North Building, Room N1.51, 5 The Parade, Newport Road, Cardiff, CF24 3AA
Research themes
Specialisms
- Biomedical imaging
- Computer vision
- radiomics
- Glioblastoma
- medical image analysis