Benson Mwangi

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Ives Cavalcante PassosDepartamento de Psiquiatria, Universidade Federal do Rio Grande do SulEmail confirmado em hcpa.edu.br
Bo CaoDepartment of Psychiatry, The University of AlbertaEmail confirmado em ualberta.ca
Isabelle BauerUniversity of TexasEmail confirmado em uth.tmc.edu
Marsal SanchesBaylor College of MedicineEmail confirmado em bcm.edu
Zafer KeserDepartment of Neurology, Mayo ClinicEmail confirmado em mayo.edu
Luca LavagninoAssistant Professor, Department of Psychiatry and Behavioral Sciences, University of Texas HealthEmail confirmado em uth.tmc.edu
Sudhakar SelvarajUniversity of Texas Health Science Center at HoustonEmail confirmado em uth.tmc.edu
Jonika TannousData ScientistEmail confirmado em kelsey-seybold.com
Douglas SteeleClinical Professor, University of Dundee; Honorary Consultant PsychiatristEmail confirmado em dundee.ac.uk
Keith MatthewsProfessor of Psychiatry, University of DundeeEmail confirmado em dundee.ac.uk
Marcia Kauer-Sant'AnnaUFRGSEmail confirmado em pq.cnpq.br
JOÃO LUCIANO DE QUEVEDOThe University of Texas Health Science Center at HoustonEmail confirmado em uth.tmc.edu
Diego Librenza-GarciaPostdoctoral Clinical Fellow, Psychiatry, McMaster UniversityEmail confirmado em mcmaster.ca
Jeffrey A. StanleyWayne State UniversityEmail confirmado em wayne.edu
Ajaykumar N. SharmaUniversity of Texas Health Science Center, Wright State University, Nagpur UniversityEmail confirmado em uth.tmc.edu
Blair A. JohnstonClinical Scientist, NHS Greater Glasgow and ClydeEmail confirmado em ggc.scot.nhs.uk
Federico D'AgataPost Doc, Neuroscience, University of TurinEmail confirmado em unito.it
Federico AmiantoProfessore di Psichiatria, Scuola di Specializzazione in Psichiatria, Università degli Studi diEmail confirmado em unito.it
Klaus P. EbmeierProfessor of Old Age PsychiatryEmail confirmado em psych.ox.ac.uk
Poornima KumarHarvard Medical SchoolEmail confirmado em mclean.harvard.edu

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Benson Mwangi

University of Texas Health Science Center at Houston (UTHealth)

Email confirmado em uth.tmc.edu - Página inicial

Machine Learning Data Science Artificial Intelligence NeuroImaging Mental Health


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group L Schmaal, DP Hibar, PG Sämann, GB Hall, BT Baune, N Jahanshad, ... Molecular psychiatry 22 (6), 900-909, 2017	1044	2017
Cortical abnormalities in bipolar disorder: an MRI analysis of 6503 individuals from the ENIGMA Bipolar Disorder Working Group DP Hibar, LT Westlye, NT Doan, N Jahanshad, JW Cheung, CRK Ching, ... Molecular psychiatry 23 (4), 932-942, 2018	695	2018
The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data PM Thompson, JL Stein, SE Medland, DP Hibar, AA Vasquez, ... Brain imaging and behavior 8, 153-182, 2014	677	2014
A review of feature reduction techniques in neuroimaging B Mwangi, TS Tian, JC Soares Neuroinformatics 12, 229-244, 2014	579	2014
Subcortical volumetric abnormalities in bipolar disorder DP Hibar, LT Westlye, TGM van Erp, J Rasmussen, CD Leonardo, ... Molecular psychiatry 21 (12), 1710-1716, 2016	489	2016
Areas of controversy in neuroprogression in bipolar disorder IC Passos, B Mwangi, E Vieta, M Berk, F Kapczinski Acta Psychiatrica Scandinavica 134 (2), 91-103, 2016	213	2016
Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group LKM Han, R Dinga, T Hahn, CRK Ching, LT Eyler, L Aftanas, M Aghajani, ... Molecular psychiatry 26 (9), 5124-5139, 2021	200	2021
Multi-centre diagnostic classification of individual structural neuroimaging scans from patients with major depressive disorder B Mwangi, KP Ebmeier, K Matthews, JD Steele Brain 135 (5), 1508-1521, 2012	199	2012
The insular cortex and the neuroanatomy of major depression R Sprengelmeyer, JD Steele, B Mwangi, P Kumar, D Christmas, M Milders, ... Journal of affective disorders, 2011	194	2011
Identifying a clinical signature of suicidality among patients with mood disorders: A pilot study using a machine learning approach IC Passos, B Mwangi, B Cao, JE Hamilton, MJ Wu, XY Zhang, ... Journal of affective disorders 193, 109-116, 2016	183	2016
Human subcortical brain asymmetries in 15,847 people worldwide reveal effects of age and sex T Guadalupe, SR Mathias, TGM Vanerp, CD Whelan, MP Zwiers, Y Abe, ... Brain imaging and behavior 11, 1497-1514, 2017	175	2017
Hippocampal subfield volumes in mood disorders B Cao, IC Passos, B Mwangi, H Amaral-Silva, J Tannous, MJ Wu, ... Molecular psychiatry 22 (9), 1352-1358, 2017	174	2017
The impact of machine learning techniques in the study of bipolar disorder: a systematic review D Librenza-Garcia, BJ Kotzian, J Yang, B Mwangi, B Cao, LNP Lima, ... Neuroscience & Biobehavioral Reviews 80, 538-554, 2017	171	2017
Virtual histology of cortical thickness and shared neurobiology in 6 psychiatric disorders Y Patel, N Parker, J Shin, D Howard, L French, SI Thomopoulos, E Pozzi, ... JAMA psychiatry 78 (1), 47-63, 2021	134	2021
Using structural MRI to identify bipolar disorders–13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group A Nunes, HG Schnack, CRK Ching, I Agartz, TN Akudjedu, M Alda, ... Molecular psychiatry 25 (9), 2130-2143, 2020	125	2020
Lifespan gyrification trajectories of human brain in healthy individuals and patients with major psychiatric disorders B Cao, B Mwangi, IC Passos, MJ Wu, Z Keser, GB Zunta-Soares, D Xu, ... Scientific Reports 7 (1), 511, 2017	123	2017
Big data analytics and machine learning: 2015 and beyond. IC Passos, B Mwangi, F Kapczinski The lancet. Psychiatry 3 (1), 13-15, 2016	122	2016
Prediction of individual subject's age across the human lifespan using diffusion tensor imaging: a machine learning approach B Mwangi, KM Hasan, JC Soares Neuroimage 75, 58-67, 2013	122	2013
Neuroprogression and illness trajectories in bipolar disorder NS Kapczinski, B Mwangi, RM Cassidy, D Librenza-Garcia, MB Bermudez, ... Expert review of neurotherapeutics 17 (3), 277-285, 2017	111	2017
Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders: evidence through univariate and multivariate mega-analysis including … N Opel, A Thalamuthu, Y Milaneschi, D Grotegerd, C Flint, R Leenings, ... Molecular psychiatry 26 (9), 4839-4852, 2021	109	2021

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