Standardising Breast Radiotherapy Structure Naming Conventions: A Machine Learning Approach by Haidar, Ali, Field, Matthew, Batumalai, Vikneswary, Cloak, Kirrily, Al Mouiee, Daniel, Chlap, Phillip, Huang, Xiaoshui, Chin, Vicky, Aly, Farhannah, Carolan, Martin, Sykes, Jonathan, Vinod, Shalini K, Delaney, Geoffrey P, Holloway, Lois

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Novel methodology to quantify dehydration in head and neck cancer radiotherapy using DIXON MRI by Duncan, Sophie, Walker, Amy, Kumar, Shivani, Dundas, Kylie, Bell, Katherine, Wallis, Andrew, Surjan, Yolanda, Aly, Farhannah, Lee, Mark

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Delineation uncertainties of tumour volumes on MRI of head and neck cancer patients by Zukauskaite, Ruta, Rumley, Christopher N., Hansen, Christian R., Jameson, Michael G., Trada, Yuvnik, Johansen, Jørgen, Gyldenkerne, Niels, Eriksen, Jesper G., Aly, Farhannah, Christensen, Rasmus L., Lee, Mark, Brink, Carsten, Holloway, Lois

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Repeatability of radiotherapy dose-painting prescriptions derived from a multiparametric magnetic resonance imaging model of glioblastoma infiltration by Brighi, Caterina, Verburg, Niels, Koh, Eng-Siew, Walker, Amy, Chen, Cathy, Pillay, Sugendran, de Witt Hamer, Philip C., Aly, Farhannah, Holloway, Lois C., Keall, Paul J., Waddington, David E.J.

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Automated post-operative brain tumour segmentation: A deep learning model based on transfer learning from pre-operative images by Ghaffari, Mina, Samarasinghe, Gihan, Jameson, Michael, Aly, Farhannah, Holloway, Lois, Chlap, Phillip, Koh, Eng-Siew, Sowmya, Arcot, Oliver, Ruth

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Outcome prediction models incorporating clinical variables for Head and Neck Squamous cell Carcinoma: A systematic review of methodological conduct and risk of bias by Aly, Farhannah, Hansen, Christian Rønn, Al Mouiee, Daniel, Sundaresan, Purnima, Haidar, Ali, Vinod, Shalini, Holloway, Lois

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Larynx cancer survival model developed through open-source federated learning by Hansen, Christian Rønn, Price, Gareth, Field, Matthew, Sarup, Nis, Zukauskaite, Ruta, Johansen, Jørgen, Eriksen, Jesper Grau, Aly, Farhannah, McPartlin, Andrew, Holloway, Lois, Thwaites, David, Brink, Carsten

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NIMG-21. SERIAL QUANTITATIVE MRI RADIOMICS SIGNATURE FOR PREDICTION OF SURVIVAL IN GLIOBLASTOMA – A PILOT STUDY by Chen, Cecil, Martin, Philip, Koh, Eng-Siew, Brighi, Caterina, Aly, Farhannah, Rai, Robba, Holloway, Lois, Metcalfe, Peter, Pillay, Sugendran

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PDCP: A Set of Tools for Extracting, Transforming, and Loading Radiotherapy Data from the Orthanc Research PACS by Haidar, Ali, Aly, Farhannah, Holloway, Lois

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Open-source distributed learning validation for a larynx cancer survival model following radiotherapy by Hansen, Christian Rønn, Price, Gareth, Field, Matthew, Sarup, Nis, Zukauskaite, Ruta, Johansen, Jørgen, Eriksen, Jesper Grau, Aly, Farhannah, McPartlin, Andrew, Holloway, Lois, Thwaites, David, Brink, Carsten

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An investigation of the conformity, feasibility, and expected clinical benefits of multiparametric MRI-guided dose painting radiotherapy in glioblastoma by Brighi, Caterina, Keall, Paul J, Holloway, Lois C, Walker, Amy, Whelan, Brendan, de Witt Hamer, Philip C, Verburg, Niels, Aly, Farhannah, Chen, Cathy, Koh, Eng-Siew, Waddington, David E J

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Exploring Federated Deep Learning for Standardising Naming Conventions in Radiotherapy Data by Haidar, Ali, Daniel Al Mouiee, Farhannah Aly, Thwaites, David, Holloway, Lois

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