| A primer on the signature method in machine learning I Chevyrev, A Kormilitzin arXiv preprint arXiv:1603.03788, 2016 | 254 | 2016 |
| Med7: A transferable clinical natural language processing model for electronic health records A Kormilitzin, N Vaci, Q Liu, A Nevado-Holgado Artificial Intelligence in Medicine 118, 102086, 2021 | 132 | 2021 |
| Named entity recognition in electronic health records using transfer learning bootstrapped neural networks L Gligic, A Kormilitzin, P Goldberg, A Nevado-Holgado Neural Networks 121, 132-139, 2020 | 99 | 2020 |
| Explainable artificial intelligence for mental health through transparency and interpretability for understandability DW Joyce, A Kormilitzin, KA Smith, A Cipriani npj Digital Medicine 6 (1), 6, 2023 | 84 | 2023 |
| Few-shot learning for named entity recognition in medical text M Hofer, A Kormilitzin, P Goldberg, A Nevado-Holgado arXiv preprint arXiv:1811.05468, 2018 | 72 | 2018 |
| BFKL approach and maximally helicity violating amplitude <?format ?>in super-Yang-Mills theory J Bartels, A Kormilitzin, LN Lipatov, A Prygarin Physical Review D—Particles, Fields, Gravitation, and Cosmology 86 (6), 065026, 2012 | 70 | 2012 |
| Defining faecal calprotectin thresholds as a surrogate for endoscopic and histological disease activity in ulcerative colitis—a prospective analysis A Walsh, A Kormilitzin, C Hinds, V Sexton, O Brain, S Keshav, H Uhlig, ... Journal of Crohn's and Colitis 13 (4), 424-430, 2019 | 67 | 2019 |
| Natural language processing for structuring clinical text data on depression using UK-CRIS N Vaci, Q Liu, A Kormilitzin, F De Crescenzo, A Kurtulmus, J Harvey, ... BMJ Ment Health 23 (1), 21-26, 2020 | 62 | 2020 |
| The signature-based model for early detection of sepsis from electronic health records in the intensive care unit J Morrill, A Kormilitzin, A Nevado-Holgado, S Swaminathan, S Howison, ... 2019 Computing in Cardiology (CinC), Page 1-Page 4, 2019 | 61 | 2019 |
| Analytic structure of the scattering amplitude in SYM theory in the multi-Regge kinematics: Conformal Regge pole contribution J Bartels, A Kormilitzin, LN Lipatov Physical Review D 89 (6), 065002, 2014 | 52 | 2014 |
| Clinical prompt learning with frozen language models N Taylor, Y Zhang, DW Joyce, Z Gao, A Kormilitzin, A Nevado-Holgado IEEE Transactions on Neural Networks and Learning Systems, 2023 | 40 | 2023 |
| Utilization of the signature method to identify the early onset of sepsis from multivariate physiological time series in critical care monitoring JH Morrill, A Kormilitzin, AJ Nevado-Holgado, S Swaminathan, ... Critical Care Medicine 48 (10), e976-e981, 2020 | 39 | 2020 |
| Analytic structure of the scattering amplitude in SYM theory in multi-Regge kinematics: Conformal Regge cut contribution J Bartels, A Kormilitzin, LN Lipatov Physical Review D 91 (4), 045005, 2015 | 37 | 2015 |
| Identifying Predictors of Suicide in Severe Mental Illness: A Feasibility Study of a Clinical Prediction Rule (Oxford Mental Illness and Suicide Tool or OxMIS) M Senior, M Burghart, R Yu, A Kormilitzin, Q Liu, N Vaci, ... Frontiers in psychiatry 11, 268, 2020 | 34 | 2020 |
| Real-world effectiveness, its predictors and onset of action of cholinesterase inhibitors and memantine in dementia: retrospective health record study N Vaci, I Koychev, CH Kim, A Kormilitzin, Q Liu, C Lucas, A Dehghan, ... The British Journal of Psychiatry 218 (5), 261-267, 2021 | 29 | 2021 |
| Associations between brain volumes and cognitive tests with hypertensive burden in UK Biobank D Newby, L Winchester, W Sproviero, M Fernandes, D Wang, ... Journal of Alzheimer's Disease 84 (3), 1373-1389, 2021 | 29 | 2021 |
| Application of the signature method to pattern recognition in the cequel clinical trial AB Kormilitzin, KEA Saunders, PJ Harrison, JR Geddes, TJ Lyons arXiv preprint arXiv:1606.02074, 2016 | 25 | 2016 |
| Harnessing the potential of machine learning and artificial intelligence for dementia research JM Ranson, M Bucholc, D Lyall, D Newby, L Winchester, NP Oxtoby, ... Brain informatics 10 (1), 6, 2023 | 22 | 2023 |
| Maximizing the use of social and behavioural information from secondary care mental health electronic health records SM Goodday, A Kormilitzin, N Vaci, Q Liu, A Cipriani, T Smith, ... Journal of biomedical informatics 107, 103429, 2020 | 21 | 2020 |
| Survival probabilities for high mass diffraction E Gotsman, A Kormilitzin, E Levin, U Maor The European Physical Journal C 52, 295-304, 2007 | 20 | 2007 |
Alejo J Nevado-HolgadoAssociate Professor, University of OxfordVerified email at psy.ox.ac.uk
