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Human Brain Mapping
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May 19, 2020
Consortium neuroscience of attention deficit/hyperactivity disorder and autism spectrum disorder: The ENIGMA adventure
Martine Hoogman, Daan van Rooij, Marieke Klein, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)
|
July 24, 2018
Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging
Dmitry Petrov, Boris A Gutman, Shih-Hua Julie Yu, et al.
Human Brain Mapping
|
September 9, 2021
A meta-analysis of deep brain structural shape and asymmetry abnormalities in 2,833 individuals with schizophrenia compared with 3,929 healthy volunteers via the ENIGMA Consortium
Boris A Gutman, Theo G M van Erp, Kathryn Alpert, et al.
The American Journal of Psychiatry
|
July 30, 2019
No Alterations of Brain Structural Asymmetry in Major Depressive Disorder: An ENIGMA Consortium Analysis
Carolien G F de Kovel, Lyubomir Aftanas, André Aleman, et al.
Journal of Affective Disorders
|
January 26, 2026
Brain aging in bipolar disorder using a neuroimaging and machine learning-derived metric: Findings from the ENIGMA BD Working Group
Hui Xin Ng, Christoph Abé, Martin Alda, et al.
Journal of Child Psychology and Psychiatry, and Allied Disciplines
|
March 22, 2021
Analysis of structural brain asymmetries in attention-deficit/hyperactivity disorder in 39 datasets
Merel C Postema, Martine Hoogman, Sara Ambrosino, et al.
Molecular Psychiatry
|
November 3, 2025
Regional brain morphology and current antidepressant use: findings from 32 international cohorts from the ENIGMA major depressive disorder working group
Chaira Serrarens, Yara J Toenders, Elena Pozzi, et al.
The American Journal of Psychiatry
|
April 25, 2019
Brain Imaging of the Cortex in ADHD: A Coordinated Analysis of Large-Scale Clinical and Population-Based Samples
Martine Hoogman, Ryan Muetzel, Joao P Guimaraes, et al.
Biological Psychiatry
|
November 25, 2018
Reply to: New Meta- and Mega-analyses of Magnetic Resonance Imaging Findings in Schizophrenia: Do They Really Increase Our Knowledge About the Nature of the Disease Process?
Theo G M van Erp, Esther Walton, Derrek P Hibar, et al.
Frontiers in Neurology
|
May 29, 2019
10Kin1day: A Bottom-Up Neuroimaging Initiative
Martijn P van den Heuvel, Lianne H Scholtens, Hannelore K van der Burgh, et al.
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of 48
Search research articles
Search
Showing results (461-470 of 476) with videos related to
Sort By:
Page
of 48
Human Brain Mapping
|
May 19, 2020
Consortium neuroscience of attention deficit/hyperactivity disorder and autism spectrum disorder: The ENIGMA adventure
Martine Hoogman, Daan van Rooij, Marieke Klein, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)
|
July 24, 2018
Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging
Dmitry Petrov, Boris A Gutman, Shih-Hua Julie Yu, et al.
Human Brain Mapping
|
September 9, 2021
A meta-analysis of deep brain structural shape and asymmetry abnormalities in 2,833 individuals with schizophrenia compared with 3,929 healthy volunteers via the ENIGMA Consortium
Boris A Gutman, Theo G M van Erp, Kathryn Alpert, et al.
The American Journal of Psychiatry
|
July 30, 2019
No Alterations of Brain Structural Asymmetry in Major Depressive Disorder: An ENIGMA Consortium Analysis
Carolien G F de Kovel, Lyubomir Aftanas, André Aleman, et al.
Journal of Affective Disorders
|
January 26, 2026
Brain aging in bipolar disorder using a neuroimaging and machine learning-derived metric: Findings from the ENIGMA BD Working Group
Hui Xin Ng, Christoph Abé, Martin Alda, et al.
Journal of Child Psychology and Psychiatry, and Allied Disciplines
|
March 22, 2021
Analysis of structural brain asymmetries in attention-deficit/hyperactivity disorder in 39 datasets
Merel C Postema, Martine Hoogman, Sara Ambrosino, et al.
Molecular Psychiatry
|
November 3, 2025
Regional brain morphology and current antidepressant use: findings from 32 international cohorts from the ENIGMA major depressive disorder working group
Chaira Serrarens, Yara J Toenders, Elena Pozzi, et al.
The American Journal of Psychiatry
|
April 25, 2019
Brain Imaging of the Cortex in ADHD: A Coordinated Analysis of Large-Scale Clinical and Population-Based Samples
Martine Hoogman, Ryan Muetzel, Joao P Guimaraes, et al.
Biological Psychiatry
|
November 25, 2018
Reply to: New Meta- and Mega-analyses of Magnetic Resonance Imaging Findings in Schizophrenia: Do They Really Increase Our Knowledge About the Nature of the Disease Process?
Theo G M van Erp, Esther Walton, Derrek P Hibar, et al.
Frontiers in Neurology
|
May 29, 2019
10Kin1day: A Bottom-Up Neuroimaging Initiative
Martijn P van den Heuvel, Lianne H Scholtens, Hannelore K van der Burgh, et al.
Page
of 48