CNVs conferring risk of autism or schizophrenia affect cognition in controls H Stefansson, A Meyer-Lindenberg, S Steinberg, B Magnusdottir, ... Nature 505 (7483), 361-366, 2014 | 720 | 2014 |
Using deep belief network modelling to characterize differences in brain morphometry in schizophrenia WHL Pinaya, A Gadelha, OM Doyle, C Noto, A Zugman, Q Cordeiro, ... Scientific reports 6 (1), 38897, 2016 | 183 | 2016 |
A spatiotemporal profile of in vivo cerebral blood flow changes following intranasal oxytocin in humans Y Paloyelis, OM Doyle, FO Zelaya, S Maltezos, SC Williams, A Fotopoulou, ... Biological psychiatry 79 (8), 693-705, 2016 | 182 | 2016 |
Quantifying the attenuation of the ketamine pharmacological magnetic resonance imaging response in humans: a validation using antipsychotic and glutamatergic agents OM Doyle, S De Simoni, AJ Schwarz, C Brittain, OG O’daly, SCR Williams, ... Journal of Pharmacology and Experimental Therapeutics 345 (1), 151-160, 2013 | 117 | 2013 |
15q11. 2 CNV affects cognitive, structural and functional correlates of dyslexia and dyscalculia MO Ulfarsson, GB Walters, O Gustafsson, S Steinberg, A Silva, OM Doyle, ... Translational psychiatry 7 (4), e1109-e1109, 2017 | 81 | 2017 |
Ketamine induces a robust whole-brain connectivity pattern that can be differentially modulated by drugs of different mechanism and clinical profile R Joules, OM Doyle, AJ Schwarz, OG O’daly, M Brammer, SC Williams, ... Psychopharmacology 232, 4205-4218, 2015 | 78 | 2015 |
Predicting progression of Alzheimer’s disease using ordinal regression OM Doyle, E Westman, AF Marquand, P Mecocci, B Vellas, M Tsolaki, ... PloS one 9 (8), e105542, 2014 | 73 | 2014 |
Bayesian multi-task learning for decoding multi-subject neuroimaging data AF Marquand, M Brammer, SCR Williams, OM Doyle NeuroImage 92, 298-311, 2014 | 66 | 2014 |
Heart rate based automatic seizure detection in the newborn OM Doyle, A Temko, W Marnane, G Lightbody, GB Boylan Medical engineering & physics 32 (8), 829-839, 2010 | 58 | 2010 |
Heart rate variability during sleep in healthy term newborns in the early postnatal period OM Doyle, I Korotchikova, G Lightbody, W Marnane, D Kerins, GB Boylan Physiological measurement 30 (8), 847, 2009 | 55 | 2009 |
The role of machine learning in neuroimaging for drug discovery and development OM Doyle, MA Mehta, MJ Brammer Psychopharmacology 232, 4179-4189, 2015 | 45 | 2015 |
Utilising artificial intelligence to determine patients at risk of a rare disease: idiopathic pulmonary arterial hypertension DG Kiely, O Doyle, E Drage, H Jenner, V Salvatelli, FA Daniels, J Rigg, ... Pulmonary circulation 9 (4), 2045894019890549, 2019 | 44 | 2019 |
Finding undiagnosed patients with hepatitis C infection: an application of artificial intelligence to patient claims data OM Doyle, N Leavitt, JA Rigg Scientific reports 10 (1), 10521, 2020 | 41 | 2020 |
Multimodal predictor of neurodevelopmental outcome in newborns with hypoxic-ischaemic encephalopathy A Temko, O Doyle, D Murray, G Lightbody, G Boylan, W Marnane Computers in biology and medicine 63, 169-177, 2015 | 39 | 2015 |
Multivariate decoding of brain images using ordinal regression OM Doyle, J Ashburner, FO Zelaya, SCR Williams, MA Mehta, ... Neuroimage 81, 347-357, 2013 | 37 | 2013 |
A subset of cerebrospinal fluid proteins from a multi-analyte panel associated with brain atrophy, disease classification and prediction in Alzheimer’s disease W Khan, C Aguilar, SJ Kiddle, O Doyle, M Thambisetty, S Muehlboeck, ... PloS one 10 (8), e0134368, 2015 | 31 | 2015 |
Modulatory effects of ketamine, risperidone and lamotrigine on resting brain perfusion in healthy human subjects S Shcherbinin, O Doyle, FO Zelaya, S De Simoni, MA Mehta, AJ Schwarz Psychopharmacology 232, 4191-4204, 2015 | 27 | 2015 |
Identification of potentially undiagnosed patients with nontuberculous mycobacterial lung disease using machine learning applied to primary care data in the UK OM Doyle, R van Der Laan, M Obradovic, P McMahon, F Daniels, ... European Respiratory Journal 56 (4), 2020 | 23 | 2020 |
Personalized medication response prediction for attention-deficit hyperactivity disorder: learning in the model space vs. learning in the data space HK Wong, PA Tiffin, MJ Chappell, TE Nichols, PR Welsh, OM Doyle, ... Frontiers in physiology 8, 199, 2017 | 22 | 2017 |
Predicting the neurodevelopmental outcome in newborns with hypoxic-ischaemic injury OM Doyle, A Temko, DM Murray, G Lightbody, W Marnane, GB Boylan 2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010 | 21 | 2010 |