Reza Khorshidi (Gholamreza Salimi-Khorshidi)
Reza Khorshidi (Gholamreza Salimi-Khorshidi)
Chief Scientist, AIG || Machine Learning & Biomedical Informatics, The University of Oxford
Потвърден имейл адрес: - Начална страница
Network modelling methods for FMRI
SM Smith, KL Miller, G Salimi-Khorshidi, M Webster, CF Beckmann, ...
Neuroimage 54 (2), 875-891, 2011
Automatic denoising of functional MRI data: combining independent component analysis and hierarchical fusion of classifiers
G Salimi-Khorshidi, G Douaud, CF Beckmann, MF Glasser, L Griffanti, ...
Neuroimage 90, 449-468, 2014
Resting-state fMRI in the human connectome project
SM Smith, CF Beckmann, J Andersson, EJ Auerbach, J Bijsterbosch, ...
Neuroimage 80, 144-168, 2013
ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging
L Griffanti, G Salimi-Khorshidi, CF Beckmann, EJ Auerbach, G Douaud, ...
Neuroimage 95, 232-247, 2014
A meta-analysis of sex differences in human brain structure
ANV Ruigrok, G Salimi-Khorshidi, MC Lai, S Baron-Cohen, MV Lombardo, ...
Neuroscience & Biobehavioral Reviews 39, 34-50, 2014
Functional connectomics from resting-state fMRI
SM Smith, D Vidaurre, CF Beckmann, MF Glasser, M Jenkinson, KL Miller, ...
Trends in cognitive sciences 17 (12), 666-682, 2013
Meta-analysis of neuroimaging data: a comparison of image-based and coordinate-based pooling of studies
G Salimi-Khorshidi, SM Smith, JR Keltner, TD Wager, TE Nichols
Neuroimage 45 (3), 810-823, 2009
Functional connectivity in the basal ganglia network differentiates PD patients from controls
K Szewczyk-Krolikowski, RAL Menke, M Rolinski, E Duff, ...
Neurology 83 (3), 208-214, 2014
Meta-analytic evidence for neuroimaging models of depression: state or trait?
J Graham, G Salimi-Khorshidi, C Hagan, N Walsh, I Goodyer, B Lennox, ...
Journal of affective disorders 151 (2), 423-431, 2013
Usual blood pressure, peripheral arterial disease, and vascular risk: cohort study of 4.2 million adults
CA Emdin, SG Anderson, T Callender, N Conrad, G Salimi-Khorshidi, ...
Bmj 351, 2015
Adjusting the effect of nonstationarity in cluster-based and TFCE inference
G Salimi-Khorshidi, SM Smith, TE Nichols
Neuroimage 54 (3), 2006-2019, 2011
Consortium, WU
SM Smith, CF Beckmann, J Andersson, EJ Auerbach, J Bijsterbosch, ...
MH, 144-168, 2013
Blood pressure and risk of vascular dementia: evidence from a primary care registry and a cohort study of transient ischemic attack and stroke
CA Emdin, PM Rothwell, G Salimi-Khorshidi, A Kiran, N Conrad, ...
Stroke 47 (6), 1429-1435, 2016
BEHRT: transformer for electronic health records
Y Li, S Rao, JRA Solares, A Hassaine, R Ramakrishnan, D Canoy, Y Zhu, ...
Scientific reports 10 (1), 1-12, 2020
A personalised mobile-based home monitoring system for heart failure: the SUPPORT-HF study
A Triantafyllidis, C Velardo, T Chantler, SA Shah, C Paton, R Khorshidi, ...
International journal of medical informatics 84 (10), 743-753, 2015
Study protocol: the Whitehall II imaging sub-study
N Filippini, E Zsoldos, R Haapakoski, CE Sexton, A Mahmood, CL Allan, ...
BMC psychiatry 14 (1), 1-16, 2014
Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records
F Rahimian, G Salimi-Khorshidi, AH Payberah, J Tran, R Ayala Solares, ...
PLoS medicine 15 (11), e1002695, 2018
Influenza vaccination and risk of hospitalization in patients with heart failure: a self-controlled case series study
H Mohseni, A Kiran, G Salimi-Khorshidi, K Rahimi
European Heart Journal 38 (5), 326–333, 2017
Temporal trends and patterns in mortality after incident heart failure: a longitudinal analysis of 86 000 individuals
N Conrad, A Judge, D Canoy, J Tran, AC Pinho-Gomes, ERC Millett, ...
JAMA cardiology 4 (11), 1102-1111, 2019
Usual blood pressure, atrial fibrillation and vascular risk: evidence from 4.3 million adults
CA Emdin, SG Anderson, G Salimi-Khorshidi, M Woodward, S MacMahon, ...
International journal of epidemiology 46 (1), 162-172, 2017
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