Publications

  1. Liu, Q., Vaci, N., Koychev, I. Kormilitzin, A., et al. Personalised treatment for cognitive impairment in dementia: development and validation of an artificial intelligence model. BMC Med 20, 45 (2022). Paper | BibTeX

  2. Li, Z., Kormilitzin, A., Fernandes, M., Vaci, N., Liu, Q., Newby, D., Goodday, S., Smith, T., Nevado-Holgado, A.J. and Winchester, L., 2022. Validation of UK Biobank Data for Mental Health Outcomes: A Pilot Study Using Secondary Care Electronic Health Records. International Journal of Medical Informatics, p.104704. Paper | BibTeX

  3. Newby, D., Winchester, L., Sproviero, W., Fernandes, M., Wang, D., Kormilitzin, A., Launer, L.J. and Nevado-Holgado, A.J., 2021. Associations Between Brain Volumes and Cognitive Tests with Hypertensive Burden in UK Biobank. Journal of Alzheimer's Disease, pp.1-17. Paper | BibTeX

  4. Sommerlad, A., Werbeloff, N., Perera, G., Smith, T., Costello, H., Mueller, C., Kormilitzin, A., Broadbent, M., Nevado-Holgado, A., Lovestone, S., Stewart, R., Livingston, G. 2021. Effect of trazodone on cognitive decline in people with dementia: Cohort study using UK routinely collected data. International Journal of Geriatric Psychiatry, Paper | BibTeX

  5. Walsh, A., Cao, R., Wong, D., Kantschuster, R., Matini, L., Wilson, J., Kormilitzin, A., South, M., Travis, S. and Bauermeister, S., 2021. Using item response theory (IRT) to improve the efficiency of the Simple Clinical Colitis Activity Index (SCCAI) for patients with ulcerative colitis. BMC gastroenterology, 21(1), pp.1-8. Paper | BibTeX

  6. Sakai, Y., Kormilitzin, A., Liu, Q. and Nevado-Holgado, A., 2020. Population Gradients improve performance across data-sets and architectures in object classification. arXiv preprint. Paper | BibTeX

  7. Kormilitzin, A., Vaci, N., Liu, Q., Ni, H., Nenadic, G. and Nevado-Holgado, A., 2020, November. An efficient representation of chronological events in medical texts. In Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis (pp. 97-103). Paper | BibTeX

  8. Vaci, N., Koychev, I., Kim, C.H., Kormilitzin, A., Liu, Q., Lucas, C., Dehghan, A., Nenadic, G. and Nevado-Holgado, A., 2020. Real-world effectiveness, its predictors and onset of action of cholinesterase inhibitors and memantine in dementia: retrospective health record study. The British Journal of Psychiatry: the Journal of Mental Science, pp.1-7. Paper | BibTeX

  9. Morrill, J.H., Kormilitzin, A., Nevado-Holgado, A.J., Swaminathan, S., Howison, S.D. and Lyons, T.J., 2020. Utilization of the signature method to identify the early onset of sepsis from multivariate physiological time series in critical care monitoring. Critical Care Medicine, 48(10), pp.e976-e981. Paper | BibTeX

  10. Goodday, S.M., Kormilitzin, A., Vaci, N., Liu, Q., Cipriani, A., Smith, T. and Nevado-Holgado, A., 2020. Maximizing the use of social and behavioural information from secondary care mental health electronic health records. Journal of biomedical informatics, 107, p.103429. Paper | BibTeX

  11. Senior, M., Burghart, M., Yu, R., Kormilitzin, A., Liu, Q., Vaci, N., Nevado-Holgado, A., Pandit, S., Zlodre, J. and Fazel, S., 2020. Identifying predictors of suicide in severe mental illness: a feasibility study of a clinical prediction rule (Oxford Mental Illness and Suicide Tool or OxMIS). Frontiers in psychiatry, 11, p.268. Paper | BibTeX

  12. Kormilitzin, A., Vaci, N., Liu, Q. and Nevado-Holgado, A., 2020. Med7: a transferable clinical natural language processing model for electronic health records. Artificial Intelligence in Medicine, p.102086. Paper | BibTeX

  13. Vaci, N., Liu, Q., Kormilitzin, A., De Crescenzo, F., Kurtulmus, A., Harvey, J., O'Dell, B., Innocent, S., Tomlinson, A., Cipriani, A. and Nevado-Holgado, A., 2020. Natural language processing for structuring clinical text data on depression using UK-CRIS. Evidence-based mental health, 23(1), pp.21-26. Paper | BibTeX

  14. Westwood, S., Baird, A.L., Anand, S.N., Nevado-Holgado, A.J., Kormilitzin, A., Shi, L., Hye, A., Ashton, N.J., Morgan, A.R., Bos, I. and Vos, S.J., 2020. Validation of Plasma Proteomic Biomarkers Relating to Brain Amyloid Burden in the EMIF-Alzheimer's Disease Multimodal Biomarker Discovery Cohort. Journal of Alzheimer's disease: JAD, 74(1), pp.213-225. Paper | BibTeX

  15. Gligic, L., Kormilitzin, A., Goldberg, P. and Nevado-Holgado, A., 2020. Named entity recognition in electronic health records using transfer learning bootstrapped neural networks. Neural Networks, 121, pp.132-139. Paper | BibTeX

  16. Morrill, J., Kormilitzin, A., Nevado-Holgado, A., Swaminathan, S., Howison, S. and Lyons, T., 2019, September. The signature-based model for early detection of sepsis from electronic health records in the intensive care unit. In 2019 Computing in Cardiology (CinC) (pp. Page-1). IEEE. Paper | BibTeX

  17. Kormilitzin, A., Yang, X., Stone, W.H., Woffindale, C., Nicholls, F., Ribe, E., Nevado-Holgado, A. and Buckley, N., 2019. Deep Learning for Estimating Synaptic Health of Primary Neuronal Cell Culture. arXiv preprint arXiv:1908.11399. Paper | BibTeX

  18. Walsh, A., Kormilitzin, A., Hinds, C., Sexton, V., Brain, O., Keshav, S., Uhlig, H., Geddes, J., Goodwin, G., Peters, M. and Collins, G., 2019. Defining faecal calprotectin thresholds as a surrogate for endoscopic and histological disease activity in ulcerative colitis—a prospective analysis. Journal of Crohn's and Colitis, 13(4), pp.424-430. Paper | BibTeX

  19. Hofer, M., Kormilitzin, A., Goldberg, P. and Nevado-Holgado, A., 2018. Few-shot learning for named entity recognition in medical text. arXiv preprint Paper | BibTeX

  20. Kormilitzin, A., Saunders, K.E., Harrison, P.J., Geddes, J.R. and Lyons, T., 2017. Detecting early signs of depressive and manic episodes in patients with bipolar disorder using the signature-based model. arXiv preprint. Paper | BibTeX

  21. Kormilitzin, A.B., Saunders, K.E.A., Harrison, P.J., Geddes, J.R. and Lyons, T.J., 2016. Application of the signature method to pattern recognition in the cequel clinical trial. arXiv. Paper | BibTeX

  22. Chevyrev, I. and Kormilitzin, A., 2016. A primer on the signature method in machine learning. arXiv preprint Paper | BibTeX

  23. Bartels, J., Kormilitzin, A. and Lipatov, L.N., 2015. Analytic structure of the n= 7 scattering amplitude in N= 4 SYM theory in multi-Regge kinematics: Conformal Regge cut contribution. Physical Review D, 91(4), p.045005. Paper | BibTeX

  24. Bartels, J., Kormilitzin, A. and Lipatov, L.N., 2014. Analytic structure of the n= 7 scattering amplitude in N= 4 SYM theory in the multi-Regge kinematics: Conformal Regge pole contribution. Physical Review D, 89(6), p.065002. Paper | BibTeX

  25. Bartels, J., Kormilitzin, A., Lipatov, L.N. and Prygarin, A., 2012. BFKL approach and 2→ 5 maximally helicity violating amplitude in N= 4 super-Yang-Mills theory. Physical Review D, 86(6), p.065026. Paper | BibTeX

  26. Bartels, J., Kormilitzin, A., Lipatov, L.N. and Prygarin, A., 2011. BFKL approach and 2-> 5 MHV amplitude. arXiv preprint Paper | BibTeX

  27. Kormilitzin, A., Levin, E. and Tapia, S., 2011. Geometric scaling behavior of the scattering amplitude for DIS with nuclei. Nuclear Physics A, 872(1), pp.245-264. Paper | BibTeX

  28. Kormilitzin, A., Levin, E. and Rezaeian, A.H., 2011. On the nuclear modification factor at RHIC and LHC. Nuclear Physics A, 860(1), pp.84-101. Paper | BibTeX

  29. Kormilitzin, A., Levin, E. and Miller, J.S., 2011. High density QCD and nucleus–nucleus scattering deeply in the saturation region. Nuclear Physics A, 859(1), pp.87-113. Paper | BibTeX

  30. Kormilitzin, A. and Levin, E., 2011. Non-linear equation: Energy conservation and impact parameter dependence. Nuclear Physics A, 849(1), pp.98-119. Paper | BibTeX

  31. Gotsman, E., Kormilitzin, A., Levin, E. and Maor, U., 2010. QCD motivated approach to soft interactions at high energies: Nucleus–nucleus and hadron–nucleus collisions. Nuclear Physics A, 842(1-4), pp.82-101. Paper | BibTeX

  32. Kormilitzin, A., Levin, E. and Prygarin, A., 2008. Multiparticle production in the mean field approximation of high density QCD. Nuclear Physics A, 813(1-2), pp.1-13. Paper | BibTeX

  33. Kormilitzin, A. and Levin, E., 2008. Soft processes at high energy without soft Pomeron: a QCD motivated model. arXiv preprint Paper | BibTeX

  34. Gotsman, E., Kormilitzin, A., Levin, E. and Maor, U., 2007. Survival probabilities for high mass diffraction. The European Physical Journal C, 52(2), pp.295-304. Paper | BibTeX

  35. Kormilitzin, A., 2007. Saturation model in the non-Glauber approach. arXiv preprint Paper | BibTeX

Peer-reviewd conference proceedings

  1. Taylor, N., Sha, L., Joyce, D.W., Lukasiewicz, T., Nevado-Holgado, A. and Kormilitzin, A., 2021. Rationale production to support clinical decision-making. (2021) Machine Learning for Health (ML4H) Conference Paper | BibTeX

  2. AJ Walsh et al., (2021) Using digital monitoring during the COVID pandemic to streamline outpatient appointments. Journal of Crohn's and Colitis, 15, Paper | BibTex

  3. AJ Walsh, L Matini, A Kormilitzin et al., (2021) Can Patients Monitor Response To Ustekinumab In The Real World?. Journal of Crohn's and Colitis, 15, Paper | BibTex

  4. Winchester, L., Shi, L., Kormilitzin, A., Nevado‐Holgado, A. (2020) Comparing multiple clustering approaches to understand proteomic datasets for improved biomarker detection. Alzheimer's & Dementia, 2020 Paper | BibTeX

  5. Sommerlad, A., Werbeloff, N., Perera, G., Smith, T., Costello, H., Mueller, C., Kormilitzin, A., Broadbent, M., Nevado-Holgado, A.J., Lovestone, S. and Stewart, R., (2020), July. Effect of trazodone on cognitive function in people with dementia: Cohort study using UK routinely collected data. In 2020 Alzheimer's Association International Conference. ALZ. Paper | BibTeX

  6. Kormilitzin, A., Walsh, A.J., Matini, L., Kantschuster, R., Lepetyukh, M., Wilson, J., Brain, O., Palmer, R., Ambrose, T., Satsangi, J. and Travis, S.P.L., 2020. P283 Patient-reported symptoms over a period of 14 days reliably predict endoscopic and histological disease activity in ulcerative colitis (UC). Journal of Crohn's and Colitis, 14. Paper | BibTeX

  7. Morrill. J., Kormilitzin A., Nevado-Holgado, A., Swaminathan, S., Howison, S., Anda Du, J., Sadr, N., de Chazal, P., (2019) Computing in Cardiology 2019 Awards Summary, Paper | BibTeX

  8. Westwood, S., Baird, A.L., Anand, S.N., Shi, L., Nevado-Holgado, A.J., Kormilitzin, A., Hye, A., Ashton, N.J., Morgan, A., Touchard, S. and Morgan, P., 2018. F1‐02‐02: DISCOVERY, REPLICATION AND EXTENSION STUDY OF PLASMA PROTEOMIC BIOMARKERS RELATING TO BRAIN AMYLOID BURDEN AND ALZHEIMER'S DISEASE PROGRESSION. Alzheimer's & Dementia, 14(7S_Part_3), pp.P201-P202. Paper | BibTeX

  9. Walsh, A., Kormilitzin, A., Hinds, C., Sexton, V., Wilson, J., Peters, M., Brain, O., Keshav, S., Uhlig, H., Geddes, J. and Goodwin, G., 2018. P503 Can daily SCCAI measurements over a 6-month period better phenotype the pattern of disease in ulcerative colitis?. Journal of Crohn's and Colitis, 12. Paper | BibTeX

  10. Walsh, A., Kormilitzin, A., Hinds, C., Sexton, V., Bond, S., Wilson, J., Brain, O., Keshav, S., Uhlig, H., Geddes, J. and Goodwin, G., 2018. P262 New faecal calprotectin cut-off points for remission and active disease defined by UCEIS and Nancy indices in ulcerative colitis (UC). Journal of Crohn's and Colitis, 12, pp.S233-S233. Paper | BibTeX

  11. Walsh, A., Kormilitzin, A., Hinds, C., Sexton, V., Wilson, J., Brain, O., Keshav, S., Uhlig, H., Geddes, J., Goodwin, G. and Peters, M., 2018. P693 Should extraintestinal manifestations (EIMs) be part of disease activity assessment in ulcerative colitis?. Journal of Crohn's and Colitis, 12, pp.S461-S461. Paper | BibTeX

  12. Walsh, A., Peters, M., Hinds, C., Kormilitzin, A., Sexton, V., Seeva, P., Brain, O., Keshav, S., Uhlig, H., Simmons, A. and Geddes, J., 2018. P360 TrueColours ulcerative colitis (TCUC): Will patients with UC complete digital questionnaires in real-time?. Journal of Crohn's and Colitis, 12, pp.S286-S286. Paper | BibTeX

  13. Kormilitzin, A. and Levin, E., 2009, March. A QCD motivated model for soft processes. In AIP Conference Proceedings (Vol. 1105, No. 1, pp. 240-243). American Institute of Physics. Paper | BibTeX