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R Arnott

Showing results (141-150 of 164) with videos related to

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Frontiers in Neuroscience|October 24, 2022
Retinal nerve fiber layer in frontotemporal lobar degeneration and amyotrophic lateral sclerosisBryan M Wong, Christopher Hudson, Emily Snook, et al.
Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology|October 15, 2019
Hippocampal tail volume as a predictive biomarker of antidepressant treatment outcomes in patients with major depressive disorder: a CAN-BIND reportNikita Nogovitsyn, Meghan Muller, Roberto Souza, et al.
Frontiers in Neuroinformatics|June 8, 2018
Brain-CODE: A Secure Neuroinformatics Platform for Management, Federation, Sharing and Analysis of Multi-Dimensional Neuroscience DataAnthony L Vaccarino, Moyez Dharsee, Stephen Strother, et al.
Neuroimage|May 11, 2019
Testing a deep convolutional neural network for automated hippocampus segmentation in a longitudinal sample of healthy participantsNikita Nogovitsyn, Roberto Souza, Meghan Muller, et al.
JAMA Network Open|January 4, 2020
Use of Machine Learning for Predicting Escitalopram Treatment Outcome From Electroencephalography Recordings in Adult Patients With DepressionAndrey Zhdanov, Sravya Atluri, Willy Wong, et al.
Journal of Neurology|May 8, 2024
History of traumatic brain injury is associated with increased grey-matter loss in patients with mild cognitive impairmentMarc A Khoury, Nathan W Churchill, Alex Di Battista, et al.
Journal of Psychiatry & Neuroscience : JPN|March 7, 2019
The Canadian Biomarker Integration Network in Depression (CAN-BIND): magnetic resonance imaging protocolsGlenda M. MacQueen, Stefanie Hassel, Stephen R. Arnott, et al.
Journal of Affective Disorders|January 30, 2024
An empirical analysis of structural neuroimaging profiles in a staging model of depressionNikita Nogovitsyn, Pedro Ballester, Mike Lasby, et al.
Magnetic Resonance Imaging|June 26, 2022
Increased brain volumetric measurement precision from multi-site 3D T1-weighted 3 T magnetic resonance imaging by correcting geometric distortionsNuwan D Nanayakkara, Stephen R Arnott, Christopher J M Scott, et al.
International Journal of Biomedical Imaging|October 31, 2022
Comparison of Diffusion Tensor Imaging Metrics in Normal-Appearing White Matter to Cerebrovascular Lesions and Correlation with Cerebrovascular Disease Risk Factors and SeveritySeyyed M H Haddad, Christopher J M Scott, Miracle Ozzoude, et al.
Pageof 17

Showing results (141-150 of 164) with videos related to

Sort By:
Pageof 17
Frontiers in Neuroscience|October 24, 2022
Retinal nerve fiber layer in frontotemporal lobar degeneration and amyotrophic lateral sclerosisBryan M Wong, Christopher Hudson, Emily Snook, et al.
Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology|October 15, 2019
Hippocampal tail volume as a predictive biomarker of antidepressant treatment outcomes in patients with major depressive disorder: a CAN-BIND reportNikita Nogovitsyn, Meghan Muller, Roberto Souza, et al.
Frontiers in Neuroinformatics|June 8, 2018
Brain-CODE: A Secure Neuroinformatics Platform for Management, Federation, Sharing and Analysis of Multi-Dimensional Neuroscience DataAnthony L Vaccarino, Moyez Dharsee, Stephen Strother, et al.
Neuroimage|May 11, 2019
Testing a deep convolutional neural network for automated hippocampus segmentation in a longitudinal sample of healthy participantsNikita Nogovitsyn, Roberto Souza, Meghan Muller, et al.
JAMA Network Open|January 4, 2020
Use of Machine Learning for Predicting Escitalopram Treatment Outcome From Electroencephalography Recordings in Adult Patients With DepressionAndrey Zhdanov, Sravya Atluri, Willy Wong, et al.
Journal of Neurology|May 8, 2024
History of traumatic brain injury is associated with increased grey-matter loss in patients with mild cognitive impairmentMarc A Khoury, Nathan W Churchill, Alex Di Battista, et al.
Journal of Psychiatry & Neuroscience : JPN|March 7, 2019
The Canadian Biomarker Integration Network in Depression (CAN-BIND): magnetic resonance imaging protocolsGlenda M. MacQueen, Stefanie Hassel, Stephen R. Arnott, et al.
Journal of Affective Disorders|January 30, 2024
An empirical analysis of structural neuroimaging profiles in a staging model of depressionNikita Nogovitsyn, Pedro Ballester, Mike Lasby, et al.
Magnetic Resonance Imaging|June 26, 2022
Increased brain volumetric measurement precision from multi-site 3D T1-weighted 3 T magnetic resonance imaging by correcting geometric distortionsNuwan D Nanayakkara, Stephen R Arnott, Christopher J M Scott, et al.
International Journal of Biomedical Imaging|October 31, 2022
Comparison of Diffusion Tensor Imaging Metrics in Normal-Appearing White Matter to Cerebrovascular Lesions and Correlation with Cerebrovascular Disease Risk Factors and SeveritySeyyed M H Haddad, Christopher J M Scott, Miracle Ozzoude, et al.
Pageof 17