| Use of machine learning and artificial intelligence to predict SARS-CoV-2 infection from full blood counts in a population A Banerjee, S Ray, B Vorselaars, J Kitson, M Mamalakis, S Weeks, ... International immunopharmacology 86, 106705, 2020 | 174 | 2020 |
| DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays M Mamalakis, AJ Swift, B Vorselaars, S Ray, S Weeks, W Ding, ... Computerized Medical Imaging and Graphics 94, 102008, 2021 | 65 | 2021 |
| Validation of artificial intelligence cardiac MRI measurements: relationship to heart catheterization and mortality prediction S Alabed, F Alandejani, K Dwivedi, K Karunasaagarar, M Sharkey, P Garg, ... Radiology 305 (1), 68-79, 2022 | 24 | 2022 |
| Quality of reporting in AI cardiac MRI segmentation studies–A systematic review and recommendations for future studies S Alabed, A Maiter, M Salehi, A Mahmood, S Daniel, S Jenkins, ... Frontiers in Cardiovascular Medicine 9, 956811, 2022 | 14 | 2022 |
| Training and clinical testing of artificial intelligence derived right atrial cardiovascular magnetic resonance measurements F Alandejani, S Alabed, P Garg, ZM Goh, K Karunasaagarar, M Sharkey, ... Journal of Cardiovascular Magnetic Resonance 24 (1), 25, 2022 | 13 | 2022 |
| MA-SOCRATIS: An automatic pipeline for robust segmentation of the left ventricle and scar M Mamalakis, P Garg, T Nelson, J Lee, JM Wild, RH Clayton Computerized Medical Imaging and Graphics 93, 101982, 2021 | 8 | 2021 |
| A personalised monitoring and recommendation framework for kinetic dysfunctions: The trendelenburg gait N Michalopoulos, GE Raptis, C Katsini, T Chrysikos, M Mamalakis, ... Proceedings of the 20th Pan-Hellenic Conference on Informatics, 1-4, 2016 | 8 | 2016 |
| A transparent artificial intelligence framework to assess lung disease in pulmonary hypertension M Mamalakis, K Dwivedi, M Sharkey, S Alabed, D Kiely, AJ Swift Scientific Reports 13 (1), 3812, 2023 | 7 | 2023 |
| Intra-operative applications of augmented reality in glioma surgery: a systematic review A Ragnhildstveit, C Li, MH Zimmerman, M Mamalakis, VN Curry, W Holle, ... Frontiers in Surgery 10, 2023 | 6 | 2023 |
| Fully automatic cardiac four chamber and great vessel segmentation on CT pulmonary angiography using deep learning MJ Sharkey, JC Taylor, S Alabed, K Dwivedi, K Karunasaagarar, ... Frontiers in Cardiovascular Medicine 9, 983859, 2022 | 4 | 2022 |
| Artificial Intelligence framework with traditional computer vision and deep learning approaches for optimal automatic segmentation of left ventricle with scar M Mamalakis, P Garg, T Nelson, J Lee, AJ Swift, JM Wild, RH Clayton Artificial Intelligence in Medicine 143, 102610, 2023 | 3 | 2023 |
| Artificial intelligence as a diagnostic tool in non-invasive imaging in the assessment of coronary artery disease G Doolub, M Mamalakis, S Alabed, RJ Van der Geest, AJ Swift, ... Medical Sciences 11 (1), 20, 2023 | 3 | 2023 |
| A robust COVID-19 mortality prediction calculator based on Lymphocyte count, Urea, C-Reactive Protein, Age and Sex (LUCAS) with chest X-rays S Ray, A Banerjee, A Swift, JW Fanstone, M Mamalakis, B Vorselaars, ... Scientific Reports 12 (1), 18220, 2022 | 3 | 2022 |
| Automatic development of 3D anatomical models of border zone and core scar regions in the left ventricle M Mamalakis, P Garg, T Nelson, J Lee, AJ Swift, JM Wild, RH Clayton Computerized Medical Imaging and Graphics 103, 102152, 2023 | 2 | 2023 |
| Development of a mortality prediction model in hospitalised SARS-CoV-2 positive patients based on routine kidney biomarkers AN Boss, A Banerjee, M Mamalakis, S Ray, AJ Swift, C Wilkie, ... International Journal of Molecular Sciences 23 (13), 7260, 2022 | 2 | 2022 |
| Fully automatic deep learning pulmonary hypertension diagnosis using CT pulmonary angiography M Sharkey, K Karunasaagarar, CS Johns, S Rajaram, K Dwivedi, P Garg, ... European Respiratory Journal 60 (suppl 66), 2022 | 1 | 2022 |
| LUCAS: A highly accurate yet simple risk calculator that predicts survival of COVID-19 patients using rapid routine tests S Ray, A Swift, JW Fanstone, A Banerjee, M Mamalakis, B Vorselaars, ... medRxiv, 2021.04. 27.21256196, 2021 | 1 | 2021 |
| Improving Prognostication in Pulmonary Hypertension Using AI-quantified Fibrosis and Radiologic Severity Scoring at Baseline CT K Dwivedi, M Sharkey, L Delaney, S Alabed, S Rajaram, C Hill, C Johns, ... Radiology 310 (2), e231718, 2024 | | 2024 |
| Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge Y Nan, X Xing, S Wang, Z Tang, FN Felder, S Zhang, RE Ledda, X Ding, ... arXiv preprint arXiv:2312.13752, 2023 | | 2023 |
| A 3D explainability framework to uncover learning patterns and crucial sub-regions in variable sulci recognition M Mamalakis, H de Vareilles, A AI-Manea, SC Mitchell, I Arartz, ... arXiv preprint arXiv:2309.00903, 2023 | | 2023 |
