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    تقرير
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    دورية أكاديمية

    وصف الملف: text

    العلاقة: https://publications.aston.ac.uk/id/eprint/44874/1/Powelletal_2023_VoR.pdfTest; Powell, Stephen J, Withey, Stephanie B, Sun, Yu, Grist, James T, Novak, Jan , MacPherson, Lesley, Abernethy, Laurence, Pizer, Barry, Grundy, Richard, Morgan, Paul S, Jaspan, Tim, Bailey, Simon, Mitra, Dipayan, Auer, Dorothee P, Avula, Shivaram, Arvanitis, Theodoros N and Peet, Andrew (2023). Applying machine learning classifiers to automate quality assessment of paediatric dynamic susceptibility contrast (DSC-) MRI data. British Journal of Radiology, 96 (1145)

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    دورية أكاديمية

    وصف الملف: text

    العلاقة: https://publications.aston.ac.uk/id/eprint/43682/1/Withey2022_Article_DynamicSusceptibility_contrast.pdfTest; Withey, Stephanie B, MacPherson, Lesley, Oates, Adam, Powell, Stephen, Novak, Jan , Abernethy, Laurence, Pizer, Barry, Grundy, Richard, Morgan, Paul S, Bailey, Simon, Mitra, Dipayan, Arvanitis, Theodoros N, Auer, Dorothee P, Avula, Shivaram and Peet, Andrew C (2022). Dynamic susceptibility-contrast magnetic resonance imaging with contrast agent leakage correction aids in predicting grade in pediatric brain tumours: a multicenter study. Pediatric Radiology, 52 (6), pp. 1134-1149.

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    دورية أكاديمية

    المساهمون: Action Medical Research, CHILDREN with CANCER UK, North of England Children’s Cancer Research Fund, Brain Tumour Charity

    المصدر: NMR in Biomedicine ; volume 35, issue 6 ; ISSN 0952-3480 1099-1492

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    دورية أكاديمية

    وصف الملف: text

    العلاقة: https://publications.aston.ac.uk/id/eprint/42295/1/41598_2021_Article_82214.pdfTest; Novak, Jan , Zarinabad, Niloufar, Rose, Heather, Arvanitis, Theodoros, MacPherson, Lesley, Pinkey, Benjamin, Oates, Adam, Hales, Patrick, Grundy, Richard, Auer, Dorothee, Gutierrez, Daniel Rodriguez, Jaspan, Tim, Avula, Shivaram, Abernethy, Laurence, Kaur, Ramneek, Hargrave, Darren, Mitra, Dipayan, Bailey, Simon, Davies, Nigel, Clark, Christopher and Peet, Andrew (2021). Classification of paediatric brain tumours by diffusion weighted imaging and machine learning. Scientific Reports, 11 (1)

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    دورية أكاديمية

    وصف الملف: text

    العلاقة: https://publications.aston.ac.uk/id/eprint/43119/1/41598_2021_Article_96189.pdfTest; Grist, James T., Withey, Stephanie, Bennett, Christopher, Rose, Heather E. L., MacPherson, Lesley, Oates, Adam, Powell, Stephen, Novak, Jan , Abernethy, Laurence, Pizer, Barry, Bailey, Simon, Clifford, Steven C., Mitra, Dipayan, Arvanitis, Theodoros N., Auer, Dorothee P., Avula, Shivaram, Grundy, Richard and Peet, Andrew C. (2021). Combining multi-site magnetic resonance imaging with machine learning predicts survival in pediatric brain tumors. Scientific Reports, 11

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    دورية أكاديمية

    وصف الملف: text

    العلاقة: http://www.repository.uhblibrary.co.uk/id/eprint/4685/1/41598_2021_Article_96189.pdfTest; Grist, James T, Withey, Stephanie, Bennett, Christopher, Rose, Heather E L, MacPherson, Lesley, Oates, Adam, Powell, Stephen, Novak, Jan, Abernethy, Laurence, Pizer, Barry, Bailey, Simon, Clifford, Steven C, Mitra, Dipayan, Arvanitis, Theodoros N, Auer, Dorothee P, Avula, Shivaram, Grundy, Richard and Peet, Andrew C (2021) Combining multi-site magnetic resonance imaging with machine learning predicts survival in pediatric brain tumors. Scientific reports, 11 (1). p. 18897. ISSN 2045-2322. This article is available to all UHB staff and students login using a UHB Athens Account. Register for Athens here - https://openathens.nice.org.ukTest/

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    دورية أكاديمية

    المساهمون: Children's Cancer and Leukaemia Group, Oljedirektoratet, Children's Cancer Research Fund

    المصدر: NMR in Biomedicine ; volume 35, issue 2 ; ISSN 0952-3480 1099-1492