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Number of items: 7.

Alsyed, Emad, Smith, Rhodri, Marshall, Christopher and Spezi, Emiliano 2024. Texture analysis using a self-organizing feature map. El-Baz, Ayman, Ghazal, Mohammed and Suri, Jasjit S., eds. Handbook of Texture Analysis: AI-Based Medical Imaging Applications, Boca Raton: CRC Press, (10.1201/9780367486082-5)

Alsyed, Emad, Smith, Rhodri, Bartley, Lee, Marshall, Christopher ORCID: https://orcid.org/0000-0002-2228-883X and Spezi, Emiliano ORCID: https://orcid.org/0000-0002-1452-8813 2023. A heterogeneous phantom study for investigating the stability of PET images radiomic features with varying reconstruction settings. Frontiers in Nuclear Medicine 3 10.3389/fnume.2023.1078536
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Alsyed, Emad 2023. Positron emission tomography image texture analysis. PhD Thesis, Cardiff University.
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Alsyed, Emad, Smith, Rhodri, Paisey, Stephen ORCID: https://orcid.org/0000-0002-2274-3708, Marshall, Christopher ORCID: https://orcid.org/0000-0002-2228-883X and Spezi, Emiliano ORCID: https://orcid.org/0000-0002-1452-8813 2021. A self organizing map for exploratory analysis of PET radiomic features. Presented at: 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Boston, MA, USA, 31 October -7 November 2020. 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE, 10.1109/NSS/MIC42677.2020.9507846
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Smith, Rhodri L., Chandler, Hannah, Alsyed, Emad, Bartley, Lee, Fielding, Patrick and Marshall, Chris ORCID: https://orcid.org/0000-0002-2228-883X 2021. Deep learning PET epilepsy detection with a novel symmetric loss convolutional autoencoder. Presented at: 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Boston, MA, USA, 31 October -7 November 2020. 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE, pp. 1-3. 10.1109/NSS/MIC42677.2020.9507980

Alsyed, Emad, Smith, Rhodri, Marshall, Christopher ORCID: https://orcid.org/0000-0002-2228-883X, Paisey, Stephen ORCID: https://orcid.org/0000-0002-2274-3708 and Spezi, Emiliano ORCID: https://orcid.org/0000-0002-1452-8813 2019. The statistical influence of imaging time and segmentation volume on PET radiomic features: A preclinical study. Presented at: 2019 IEEE NSS-MIC, Manchester, UK, 26 October - 2 November 2019. Proceedings of the IEEE Nuclear Science Symposium and Medical Imaging Conference. IEEE, pp. 1-4. 10.1109/NSS/MIC42101.2019.9059863
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Alsyed, E, Smith, R, Marshall, C, Paisey, S and Spezi, E ORCID: https://orcid.org/0000-0002-1452-8813 2019. Stability of PET radiomic features: A preclinical study [Abstract]. Presented at: Annual Congress of the European Association of Nuclear Medicine, Barcelona, Spain, 12-16 Oct 2019.
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