| 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 |
| Altered corticospinal microstructure and motor cortex excitability in gliomas: an advanced tractography and transcranial magnetic stimulation study AS Mirchandani, A Beyh, JP Lavrador, H Howells, F Dell’Acqua, ... Journal of Neurosurgery 134 (5), 1368-1376, 2020 | 22 | 2020 |
| Systematic identification of functionally relevant risk alleles to stratify aggressive versus indolent prostate cancer S Nowinski, A Santaolalla, B O’Leary, M Loda, A Mirchandani, ... Oncotarget 9 (16), 12812, 2018 | 12 | 2018 |
| 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 |
| The (mis) use of imaging criteria in the assessment of glioblastoma treatment response J Buwanabala, A Mirchandani, TC Booth Proceedings of the 57th American Society of Neuroradiology, 18-23, 2019 | 4 | 2019 |
| 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 |
