Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans M Roberts, D Driggs, M Thorpe, J Gilbey, M Yeung, S Ursprung, ... Nature Machine Intelligence 3 (3), 199-217, 2021 | 947 | 2021 |
Radiomics and radiogenomics in ovarian cancer: a literature review S Nougaret, C McCague, H Tibermacine, HA Vargas, S Rizzo, E Sala Abdominal Radiology 46, 2308-2322, 2021 | 57 | 2021 |
Introduction to radiomics for a clinical audience C McCague, S Ramlee, M Reinius, I Selby, D Hulse, P Piyatissa, V Bura, ... Clinical Radiology 78 (2), 83-98, 2023 | 49 | 2023 |
Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review M Roberts, D Driggs, M Thorpe, J Gilbey, M Yeung, S Ursprung, ... arXiv preprint arXiv:2008.06388, 2020 | 25 | 2020 |
AIX-COVNET M Roberts, D Driggs, M Thorpe, J Gilbey, M Yeung, S Ursprung, ... Common pitfalls and recommendations for using machine learning to detect and …, 2021 | 21 | 2021 |
Clinically interpretable radiomics-based prediction of histopathologic response to neoadjuvant chemotherapy in high-grade serous ovarian carcinoma L Rundo, L Beer, L Escudero Sanchez, M Crispin-Ortuzar, M Reinius, ... Frontiers in oncology 12, 868265, 2022 | 19 | 2022 |
Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation T Buddenkotte, LE Sanchez, M Crispin-Ortuzar, R Woitek, C McCague, ... Computers in Biology and Medicine 163, 107096, 2023 | 16 | 2023 |
Integrated radiogenomics models predict response to neoadjuvant chemotherapy in high grade serous ovarian cancer M Crispin-Ortuzar, R Woitek, MAV Reinius, E Moore, L Beer, V Bura, ... Nature communications 14 (1), 6756, 2023 | 11 | 2023 |
Deep learning-based segmentation of multisite disease in ovarian cancer T Buddenkotte, L Rundo, R Woitek, L Escudero Sanchez, L Beer, ... European radiology experimental 7 (1), 77, 2023 | 8 | 2023 |
Radioproteomics in patients with ovarian cancer C McCague, L Beer The British Journal of Radiology 94 (1125), 20201331, 2021 | 8 | 2021 |
Position statement on clinical evaluation of imaging AI C McCague, K MacKay, C Welsh, A Constantinou, R Jena, ... The Lancet Digital Health 5 (7), e400-e402, 2023 | 7 | 2023 |
Intracranial aneurysms: looking beyond size in neuroimaging: the role of anatomical factors and haemodynamics DP Roi, JD Mueller, K Lobotesis, C McCague, S Memarian, F Khan, ... Quantitative Imaging in Medicine and Surgery 9 (4), 537, 2019 | 7 | 2019 |
Integrating artificial intelligence tools in the clinical research setting: the ovarian cancer use case L Escudero Sanchez, T Buddenkotte, M Al Sa’d, C McCague, J Darcy, ... Diagnostics 13 (17), 2813, 2023 | 5 | 2023 |
Radiomic and volumetric measurements as clinical trial Endpoints—a comprehensive review IG Funingana, P Piyatissa, M Reinius, C McCague, B Basu, E Sala Cancers 14 (20), 5076, 2022 | 5 | 2022 |
Artificial intelligence for early detection of renal cancer in computed tomography: A review WC McGough, LE Sanchez, C McCague, GD Stewart, CB Schönlieb, ... Cambridge Prisms: Precision Medicine 1, e4, 2023 | 3 | 2023 |
Lesion-specific 3D-printed moulds for image-guided tissue multi-sampling of ovarian tumours: A prospective pilot study M Delgado-Ortet, MAV Reinius, C McCague, V Bura, R Woitek, L Rundo, ... Frontiers in Oncology 13, 1085874, 2023 | 1 | 2023 |
Empirical evidence of the task-adapted reconstruction framework for joint CT reconstruction and segmentation E Valat, A Biguri, LE Sanchez, C McCague, O Öktem, CB Schönlieb Applied Mathematics for Modern Challenges, 0-0, 2024 | | 2024 |
A Self-Supervised Image Registration Approach for Measuring Local Response Patterns in Metastatic Ovarian Cancer IP Machado, A Reithmeir, F Kogl, L Rundo, G Funingana, M Reinius, ... arXiv preprint arXiv:2407.17114, 2024 | | 2024 |
Augmented Radiology in High Grade Serous Ovarian Carcinoma C McCague | | 2024 |
AUGMENT: a framework for robust assessment of the clinical utility of segmentation algorithms C McCague, T Buddenkotte, L Escudero Sanchez, D Hulse, R Pintican, ... medRxiv, 2024.09. 20.24313970, 2024 | | 2024 |