World Health Organization Grade II/III Glioma Molecular Status: Prediction by MRI Morphologic Features and Apparent Diffusion Coefficient von Maynard, John, Okuchi, Sachi, Wastling, Stephen, Busaidi, Ayisha Al, Almossawi, Ofran, Mbatha, Wonderboy, Brandner, Sebastian, Jaunmuktane, Zane, Koc, Ali Murat, Mancini, Laura, Jäger, Rolf, Thust, Stefanie

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Accurate brain‐age models for routine clinical MRI examinations von Wood, David A., Kafiabadi, Sina, Busaidi, Ayisha Al, Guilhem, Emily, Montvila, Antanas, Lynch, Jeremy, Townend, Matthew, Agarwal, Siddharth, Mazumder, Asif, Barker, Gareth J., Ourselin, Sebastien, Cole, James H., Booth, Thomas C.

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Pituitary apoplexy in an adolescent male with macroprolactinoma presenting as middle cerebral artery territory infarction von Agrawal, Pankaj, Newbold, Sally, Busaidi, Ayisha Al, Kapoor, Ritika R, Thomas, Nick, Aylwin, Simon Jb, Buchanan, Charles R, Arya, Ved Bhushan

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Filtration-Histogram Based Magnetic Resonance Texture Analysis (MRTA) for the Distinction of Primary Central Nervous System Lymphoma and Glioblastoma von MacIver, Claire L., Busaidi, Ayisha Al, Ganeshan, Balaji, Maynard, John A., Wastling, Stephen, Hyare, Harpreet, Brandner, Sebastian, Markus, Julia E., Lewis, Martin A., Groves, Ashley M., Cwynarski, Kate, Thust, Stefanie C.

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Deep learning models for triaging hospital head MRI examinations von Wood, David A., Kafiabadi, Sina, Busaidi, Ayisha Al, Guilhem, Emily, Montvila, Antanas, Lynch, Jeremy, Townend, Matthew, Agarwal, Siddharth, Mazumder, Asif, Barker, Gareth J., Ourselin, Sebastien, Cole, James H., Booth, Thomas C.

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Optimising brain age estimation through transfer learning: A suite of pre‐trained foundation models for improved performance and generalisability in a clinical setting von Wood, David A., Townend, Matthew, Guilhem, Emily, Kafiabadi, Sina, Hammam, Ahmed, Wei, Yiran, Al Busaidi, Ayisha, Mazumder, Asif, Sasieni, Peter, Barker, Gareth J., Ourselin, Sebastien, Cole, James H., Booth, Thomas C.

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World Health Organization Grade II/III Glioma Molecular Status: Prediction by MRI Morphologic Features and Apparent Diffusion Coefficient von Maynard, John, Okuchi, Sachi, Wastling, Stephen, Busaidi, Ayisha Al, Almossawi, Ofran, Mbatha, Wonderboy, Brandner, Sebastian, Jaunmuktane, Zane, Koc, Ali Murat, Mancini, Laura, Jäger, Rolf, Thust, Stefanie

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Imaging Biomarkers of Glioblastoma Treatment Response: A Systematic Review and Meta-Analysis of Recent Machine Learning Studies von Booth, Thomas C, Grzeda, Mariusz, Chelliah, Alysha, Roman, Andrei, Al Busaidi, Ayisha, Dragos, Carmen, Shuaib, Haris, Luis, Aysha, Mirchandani, Ayesha, Alparslan, Burcu, Mansoor, Nina, Lavrador, Jose, Vergani, Francesco, Ashkan, Keyoumars, Modat, Marc, Ourselin, Sebastien

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Early MRI Predictors of Relapse in Primary Central Nervous System Lymphoma Treated with MATRix Immunochemotherapy von Cornell, Isabel, Al Busaidi, Ayisha, Wastling, Stephen, Anjari, Mustafa, Cwynarski, Kate, Fox, Christopher P, Martinez-Calle, Nicolas, Poynton, Edward, Maynard, John, Thust, Steffi C

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MRI morphology of surgically treated lumbar canal stenosis: a retrospective study von Menon, Venugopal K, Raniga, Sameer B, Al Busaidi, Ayisha Q Y

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Functional MRI but not white matter fibre dissection identifies language dominance von Al Busaidi, Ayisha, Gangemi, Emma, Wastling, Stephen, Berg, Aaike S.van den, Mancini, Laura, Yousry, Tarek

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Diverse imaging features of adolescent glioblastoma von Campion, Thomas, Stoneham, Sara, Al-Busaidi, Ayisha, Kumar, Atul, Jaunmuktane, Zane, Brandner, Sebastian, Kitchen, Neil, Thust, Stefanie

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Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021 von Booth, Thomas, Akpinar, Bernice, Roman, Andrei, Shuaib, Haris, Aysha Luis, Chelliah, Alysha, Ayisha Al Busaidi, Mirchandani, Ayesha, Alparslan, Burcu, Mansoor, Nina, Keyoumars Ashkan, Ourselin, Sebastien, Modat, Marc

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Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021 von Booth, Thomas C., Akpinar, Bernice, Roman, Andrei, Shuaib, Haris, Luis, Aysha, Chelliah, Alysha, Al Busaidi, Ayisha, Mirchandani, Ayesha, Alparslan, Burcu, Mansoor, Nina, Ashkan, Keyoumars, Ourselin, Sebastien, Modat, Marc

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A self-supervised text-vision framework for automated brain abnormality detection von Wood, David A, Guilhem, Emily, Kafiabadi, Sina, Busaidi, Ayisha Al, Dissanayake, Kishan, Hammam, Ahmed, Mansoor, Nina, Townend, Matthew, Agarwal, Siddharth, Wei, Yiran, Mazumder, Asif, Barker, Gareth J, Sasieni, Peter, Ourselin, Sebastien, Cole, James H, Booth, Thomas C

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Optimising brain age estimation through transfer learning: A suite of pre-trained foundation models for improved performance and generalisability in a clinical setting von Wood, David A, Townend, Matthew, Guilhem, Emily, Kafiabadi, Sina, Hammam, Ahmed, Wei, Yiran, Al Busaidi, Ayisha, Mazumder, Asif, Sasieni, Peter, Barker, Gareth J, Ourselin, Sebastien, Cole, James H, Booth, Thomas C

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Diverse imaging features of adolescent glioblastoma von Campion, Thomas, Stoneham, Sara, Al-Busaidi, Ayisha, Kumar, Atul, Jaunmuktane, Zane, Brandner, Sebastian, Kitchen, Neil, Thust, Stefanie

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Automated triaging of head MRI examinations using convolutional neural networks von Wood, David A, Kafiabadi, Sina, Busaidi, Ayisha Al, Guilhem, Emily, Montvila, Antanas, Agarwal, Siddharth, Lynch, Jeremy, Townend, Matthew, Barker, Gareth, Ourselin, Sebastien, Cole, James H, Booth, Thomas C

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Deep learning models for triaging hospital head MRI examinations von Wood, David A, Kafiabadi, Sina, Busaidi, Ayisha Al, Guilhem, Emily, Montvila, Antanas, Lynch, Jeremy, Townend, Matthew, Agarwal, Siddharth, Mazumder, Asif, Barker, Gareth J, Ourselin, Sebastien, Cole, James H, Booth, Thomas C

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Imaging Biomarkers of Glioblastoma Treatment Response: A Systematic Review and Meta-Analysis of Recent Machine Learning Studies von Booth, Thomas C, Grzeda, Mariusz, Chelliah, Alysha, Roman, Andrei, Al Busaidi, Ayisha, Dragos, Carmen, Shuaib, Haris, Luis, Aysha, Mirchandani, Ayesha, Alparslan, Burcu, Mansoor, Nina, Lavrador, Jose, Vergani, Francesco, Ashkan, Keyoumars, Modat, Marc, Ourselin, Sebastien

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