Mr Abdulkerim Duman
(e/fe)
MSc
Timau a rolau for Abdulkerim Duman
Arddangoswr Graddedig
Trosolwyg
Ar ôl graddio gyda pheirianneg biofeddygol yn Nhwrci, dechreuais raglen MSc mewn peirianneg biofeddygol gyda ffrwd bioelectroneg ym Mhrifysgol Newcastle. Gweithiais mewn cwmni cychwyn yn Istanbul/Twrci ar ôl graddio gyda'r radd MSc gyda rhagoriaeth. Rwyf wedi defnyddio Python a MATLAB yn ystod fy meistr ac yn gweithio ar gyfer prosesu signal a phrosesu gweledigaeth gyfrifiadurol / delwedd.
Rwy'n ymchwilydd ôl-raddedig yn yr Ysgol Peirianneg ym Mhrifysgol Caerdydd ar hyn o bryd. Mae fy mhrosiect PhD yn gysylltiedig â glioblastoma, dysgu dwfn, radiomig. Rwy'n gwneud fy ymchwil fel aelod o dîm ymchwil Delweddu Bywyd a Dadansoddi Data (LIDA).
Cyhoeddiad
2024
- Duman, A., Sun, X., Thomas, S., Powell, J. R. and Spezi, E. 2024. Reproducible and interpretable machine learning-based radiomic analysis for overall survival prediction in glioblastoma multiforme. Cancers 16(19), article number: 3351. (10.3390/cancers16193351)
- Duman, A., Powell, J., Thomas, S., Sun, X. and Spezi, E. 2024. Generalizability of deep learning models on brain tumour segmentation. Presented at: Cardiff University Engineering Research Conference 2023, Cardiff, UK, 12-14 July 2023 Presented at 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)
- Doherty, C., Duman, A., Chuter, R., Hutton, M. and Spezi, E. 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 Presented at 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., Powell, J., Thomas, S. and Spezi, E. 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 Presented at 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)
2023
- Mehmetbeyoglu Duman, E., Duman, A., Taheri, S., Ozkul, Y. and Rassaulzadegan, M. 2023. From data to insights: machine learning empowers prognostic biomarker prediction in Autism. Journal of Personalized Medicine 13(12), article number: 1713. (10.3390/jpm13121713)
- Duman, A., Karakuş, O., Sun, X., Thomas, S., Powell, J. and Spezi, E. 2023. RFS+: A clinically adaptable and computationally efficient strategy for enhanced brain tumor segmentation. Cancers 15(23), article number: 5620. (10.3390/cancers15235620)
- Duman, A., Whybra, P., Powell, J., Thomas, S., Sun, X. and Spezi, E. 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)
Articles
- Duman, A., Sun, X., Thomas, S., Powell, J. R. and Spezi, E. 2024. Reproducible and interpretable machine learning-based radiomic analysis for overall survival prediction in glioblastoma multiforme. Cancers 16(19), article number: 3351. (10.3390/cancers16193351)
- Mehmetbeyoglu Duman, E., Duman, A., Taheri, S., Ozkul, Y. and Rassaulzadegan, M. 2023. From data to insights: machine learning empowers prognostic biomarker prediction in Autism. Journal of Personalized Medicine 13(12), article number: 1713. (10.3390/jpm13121713)
- Duman, A., Karakuş, O., Sun, X., Thomas, S., Powell, J. and Spezi, E. 2023. RFS+: A clinically adaptable and computationally efficient strategy for enhanced brain tumor segmentation. Cancers 15(23), article number: 5620. (10.3390/cancers15235620)
- Duman, A., Whybra, P., Powell, J., Thomas, S., Sun, X. and Spezi, E. 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)
Conferences
- Duman, A., Powell, J., Thomas, S., Sun, X. and Spezi, E. 2024. Generalizability of deep learning models on brain tumour segmentation. Presented at: Cardiff University Engineering Research Conference 2023, Cardiff, UK, 12-14 July 2023 Presented at 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)
- Doherty, C., Duman, A., Chuter, R., Hutton, M. and Spezi, E. 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 Presented at 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., Powell, J., Thomas, S. and Spezi, E. 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 Presented at 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)
Addysgu
Arddangoswr
CMT309: Gwyddor Data Cyfrifiannol 2022-
Contact Details
DumanA@caerdydd.ac.uk
Adeiladau'r Frenhines - Adeilad y Gogledd, Ystafell N1.51, 5 The Parade, Heol Casnewydd, Caerdydd, CF24 3AA
Adeiladau'r Frenhines - Adeilad y Gogledd, Ystafell N1.51, 5 The Parade, Heol Casnewydd, Caerdydd, CF24 3AA
Themâu ymchwil
Arbenigeddau
- Delweddu biofeddygol
- Golwg cyfrifiadurol
- radiomics
- Glioblastoma
- Dadansoddiad delwedd feddygol