| Machine learning and glioma imaging biomarkers TC Booth, M Williams, A Luis, J Cardoso, K Ashkan, H Shuaib Clinical radiology 75 (1), 20-32, 2020 | 88 | 2020 |
| Glioblastoma post-operative imaging in neuro-oncology: current UK practice (GIN CUP study) TC Booth, A Luis, L Brazil, G Thompson, RA Daniel, H Shuaib, K Ashkan, ... European radiology 31, 2933-2943, 2021 | 34 | 2021 |
| A position statement on the utility of interval imaging in standard of care brain tumour management: defining the evidence gap and opportunities for future research TC Booth, G Thompson, H Bulbeck, F Boele, C Buckley, J Cardoso, ... Frontiers in oncology 11, 620070, 2021 | 26 | 2021 |
| Imaging biomarkers of glioblastoma treatment response: a systematic review and meta-analysis of recent machine learning studies TC Booth, M Grzeda, A Chelliah, A Roman, A Al Busaidi, C Dragos, ... Frontiers in oncology 12, 799662, 2022 | 24 | 2022 |
| Natural history of familial cerebral cavernous malformation syndrome in children: a multicenter cohort study AF Geraldo, CAPF Alves, A Luis, D Tortora, J Guimarães, D Abreu, ... Neuroradiology 65 (2), 401-414, 2023 | 8 | 2023 |
| Machine learning and glioblastoma: treatment response monitoring biomarkers in 2021 TC Booth, B Akpinar, A Roman, H Shuaib, A Luis, A Chelliah, A Al Busaidi, ... Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro …, 2020 | 7 | 2020 |
| Rice brown planthopper baseline susceptibility to the new insecticide triflumezopyrim in East Java SE Baehaki, AB Widawan, I Zulkarnain, DR Vincent, V Singh, LA Teixeira Research Journal of Agriculture and Environmental Management 5 (9), 269-278, 2016 | 7 | 2016 |
| Glioblastoma and radiotherapy: A multicenter AI study for Survival Predictions from MRI (GRASP study) A Chelliah, DA Wood, LS Canas, H Shuaib, S Currie, K Fatania, R Frood, ... Neuro-oncology 26 (6), 1138-1151, 2024 | 3 | 2024 |
| Overcoming challenges of translating deep-learning models for glioblastoma: the ZGBM consortium H Shuaib, GJ Barker, P Sasieni, E De Vita, A Chelliah, R Andrei, ... The British journal of radiology 96 (1141), 20220206, 2023 | 2 | 2023 |
| Spinal involvement in pediatric familial cavernous malformation syndrome AF Geraldo, A Luis, CAPF Alves, D Tortora, J Guimarães, S Reimão, ... Neuroradiology 64 (8), 1671-1679, 2022 | 1 | 2022 |
| Automated Craniofacial Biometry with 3D T2w Fetal MRI J Matthew, A Uus, A Egloff, A Luis, S Arulkumaran, A Fukami-Gartner, ... medRxiv, 2024.08. 13.24311408, 2024 | | 2024 |
| Scanner-based real-time 3D brain+ body slice-to-volume reconstruction for T2-weighted 0.55 T low field fetal MRI AU Uus, S Neves Silva, J Aviles Verdera, K Payette, M Hall, K Colford, ... medRxiv, 2024.04. 22.24306177, 2024 | | 2024 |
| P13. 10. A PREDICTING SURVIVAL OF GLIOBLASTOMAAFTER RADIOTHERAPY USING DEEP LEARNING AND NEUROIMAGING IN A MULTI-CENTRE COHORT A Chelliah, DA Wood, LS Canas, H Shuaib, C Linares, A Bassiouny, ... Neuro-Oncology 25 (Supplement_2), ii103-ii103, 2023 | | 2023 |
| A Position Statement on the Utility of Interval Imaging in Standard of Care Brain Tumour Management: Defining the Evidence Gap and Opportunities for Future Research K Ashkan, J Kreindler10, N Huskens11, A Luis, C McBain, SJ Mills14, ... Structural, Metabolic and Physiologic MR Imaging to Study Glioblastomas, 2022 | | 2022 |
| A DELPHI SURVEY TO INFORM CORE'RED FLAG'SYMPTOMS FOR AN ELECTRONIC PATIENT REPORTED OUTCOME SYSTEM IN GLIOBLASTOMA FOLLOW UP A Luis, F Boele, T Booth NEURO-ONCOLOGY 23, 31-31, 2021 | | 2021 |
| OS08. 6. A Glioblastoma treatment response machine learning monitoring biomarkers: a systematic review and meta-analysis TC Booth, A Chelliah, A Roman, A Al Busaidi, H Shuaib, A Luis, ... Neuro-Oncology 23 (Supplement_2), ii11-ii12, 2021 | | 2021 |
TC BoothKCH Consultant Neuroradiologist & KCL Neuroimaging Reader https://www.researchgate.netVerified email at nhs.net
