Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Howard J Aizenstein

Showing results (11-20 of 233) with videos related to

Pageof 24
Sort By:
Neuroimage. Clinical|January 14, 2016
Studying depression using imaging and machine learning methodsMeenal J Patel, Alexander Khalaf, Howard J Aizenstein
International Psychogeriatrics|October 8, 2013
Aberrant topographical organization in gray matter structural network in late life depression: a graph theoretical analysisHyun Kook Lim, Won Sang Jung, Howard J Aizenstein
Cognitive, Affective & Behavioral Neuroscience|September 26, 2008
Striatal outcome processing in healthy agingKarin M Cox, Howard J Aizenstein, Julie A Fiez
Addictive Behaviors|March 2, 2010
Amygdala reactivity is inversely related to level of cannabis use in individuals with comorbid cannabis dependence and major depressionJack R Cornelius, Howard J Aizenstein, Ahmad R Hariri
Journal of Geriatric Psychiatry and Neurology|January 2, 2014
Magnetic resonance imaging predictors of treatment response in late-life depressionHoward J Aizenstein, Alexander Khalaf, Sarah E Walker, et al.
The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences|September 27, 2007
A regions-of-interest volumetric analysis of mobility limitations in community-dwelling older adultsCaterina Rosano, Howard J Aizenstein, Stephanie Studenski, et al.
Dialogues in Clinical Neuroscience|August 7, 2015
Applications of magnetic resonance imaging for treatment-resistant late-life depressionChristian Agudelo, Howard J Aizenstein, Jordan F Karp, et al.
Biometrics|April 26, 2019
Incorporating prior information with fused sparse group lasso: Application to prediction of clinical measures from neuroimagesJoanne C Beer, Howard J Aizenstein, Stewart J Anderson, et al.
Human Brain Mapping|June 22, 2025
Cross-Modality Image Translation of 3 Tesla Magnetic Resonance Imaging to 7 Tesla Using Generative Adversarial NetworksEduardo Diniz, Tales Santini, Helmet Karim, et al.
Medrxiv : the Preprint Server for Health Sciences|November 1, 2024
Cross-modality image translation of 3 Tesla Magnetic Resonance Imaging to 7 Tesla using Generative Adversarial NetworksEduardo Diniz, Tales Santini, Karim Helmet, et al.
Pageof 24

Showing results (11-20 of 233) with videos related to

Sort By:
Pageof 24
Neuroimage. Clinical|January 14, 2016
Studying depression using imaging and machine learning methodsMeenal J Patel, Alexander Khalaf, Howard J Aizenstein
International Psychogeriatrics|October 8, 2013
Aberrant topographical organization in gray matter structural network in late life depression: a graph theoretical analysisHyun Kook Lim, Won Sang Jung, Howard J Aizenstein
Cognitive, Affective & Behavioral Neuroscience|September 26, 2008
Striatal outcome processing in healthy agingKarin M Cox, Howard J Aizenstein, Julie A Fiez
Addictive Behaviors|March 2, 2010
Amygdala reactivity is inversely related to level of cannabis use in individuals with comorbid cannabis dependence and major depressionJack R Cornelius, Howard J Aizenstein, Ahmad R Hariri
Journal of Geriatric Psychiatry and Neurology|January 2, 2014
Magnetic resonance imaging predictors of treatment response in late-life depressionHoward J Aizenstein, Alexander Khalaf, Sarah E Walker, et al.
The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences|September 27, 2007
A regions-of-interest volumetric analysis of mobility limitations in community-dwelling older adultsCaterina Rosano, Howard J Aizenstein, Stephanie Studenski, et al.
Dialogues in Clinical Neuroscience|August 7, 2015
Applications of magnetic resonance imaging for treatment-resistant late-life depressionChristian Agudelo, Howard J Aizenstein, Jordan F Karp, et al.
Biometrics|April 26, 2019
Incorporating prior information with fused sparse group lasso: Application to prediction of clinical measures from neuroimagesJoanne C Beer, Howard J Aizenstein, Stewart J Anderson, et al.
Human Brain Mapping|June 22, 2025
Cross-Modality Image Translation of 3 Tesla Magnetic Resonance Imaging to 7 Tesla Using Generative Adversarial NetworksEduardo Diniz, Tales Santini, Helmet Karim, et al.
Medrxiv : the Preprint Server for Health Sciences|November 1, 2024
Cross-modality image translation of 3 Tesla Magnetic Resonance Imaging to 7 Tesla using Generative Adversarial NetworksEduardo Diniz, Tales Santini, Karim Helmet, et al.
Pageof 24