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Number of items: 6.

Duman, Abdulkerim, Powell, J, Thomas, S, Sun, Xianfang ORCID: https://orcid.org/0000-0002-6114-0766 and Spezi, Emiliano ORCID: https://orcid.org/0000-0002-1452-8813 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, Emiliano and Bray, Michaela eds. Proceedings of the Cardiff University Engineering Research Conference 2023. Cardiff: Cardiff University Press, pp. 3-5. 10.18573/conf1.b
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Doherty, C, Duman, Abdulkerim, Chuter, R, Hutton, M and Spezi, Emiliano ORCID: https://orcid.org/0000-0002-1452-8813 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, Emiliano and Bray, Michaela eds. Proceedings of the Cardiff University Engineering Research Conference 2023. Cardiff: Cardiff University Press, pp. 11-14. 10.18573/conf1.d
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Duman, Abdulkerim, Powell, J, Thomas, S and Spezi, Emiliano ORCID: https://orcid.org/0000-0002-1452-8813 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, Emiliano and Bray, Michaela eds. Proceedings of the Cardiff University Engineering Research Conference 2023. Cardiff: Cardiff University Press, pp. 19-22. 10.18573/conf1.f
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Mehmetbeyoglu Duman, Ecmel, Duman, Abdulkerim, Taheri, Serpil, Ozkul, Yusuf and Rassaulzadegan, Minoo 2023. From data to insights: machine learning empowers prognostic biomarker prediction in Autism. Journal of Personalized Medicine 13 (12) , 1713. 10.3390/jpm13121713
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Duman, Abdulkerim, Karakuş, Oktay ORCID: https://orcid.org/0000-0001-8009-9319, Sun, Xianfang ORCID: https://orcid.org/0000-0002-6114-0766, Thomas, Solly, Powell, James and Spezi, Emiliano ORCID: https://orcid.org/0000-0002-1452-8813 2023. RFS+: A clinically adaptable and computationally efficient strategy for enhanced brain tumor segmentation. Cancers 15 (23) , 5620. 10.3390/cancers15235620
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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) , S1315-S1316. 10.1016/S0167-8140(23)66535-1

This list was generated on Mon Sep 9 06:56:09 2024 BST.


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