Kathryn Cullen

发表

Amygdala Functional Connectivity in Young Women with Borderline Personality Disorder

Bryon A. Mueller, Christopher Bell, Kelvin O. Lim, 2011, Brain Connect..

Anatomical Biomarkers for Adolescent Major Depressive Disorder from Diffusion Weighted Imaging using SVM Classifier

Christophe Lenglet, Keshab K. Parhi, Shu-Hsien Chu, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Impaired Bottom-Up Effective Connectivity Between Amygdala and Subgenual Anterior Cingulate Cortex in Unmedicated Adolescents with Major Depression: Results from a Dynamic Causal Modeling Analysis

Bryon A. Mueller, Kelvin O. Lim, Kathryn Cullen, 2015, Brain Connect..

Exploring video descriptions for handwashing activities as part of an obsessive-compulsive disorder study

Vassilios Morellas, Nikolaos Papanikolopoulos, Kathryn Cullen, 2016, 2016 24th Mediterranean Conference on Control and Automation (MED).

A nonintrusive system for behavioral analysis of children using multiple RGB+depth sensors

Vassilios Morellas, Guillermo Sapiro, Nikolaos Papanikolopoulos, 2012, 2012 IEEE Workshop on the Applications of Computer Vision (WACV).

Classifying Adolescent Major Depressive Disorder using Linear SVM with Anatomical Features from Diffusion Weighted Imaging

Christophe Lenglet, Keshab K. Parhi, Shu-Hsien Chu, 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

A multi-sensor visual tracking system for behavior monitoring of at-risk children

Vassilios Morellas, Anoop Cherian, Guillermo Sapiro, 2012, 2012 IEEE International Conference on Robotics and Automation.

Biomarkers for Adolescent MDD from Anatomical Connectivity and Network Topology Using Diffusion MRI

Christophe Lenglet, Keshab K. Parhi, Shu-Hsien Chu, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Detecting risk-markers in children in a preschool classroom

Vassilios Morellas, Guillermo Sapiro, Nikolaos Papanikolopoulos, 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Classifying Treated vs. Untreated MDD Adolescents from Anatomical Connectivity using Nonlinear SVM

Christophe Lenglet, Keshab K. Parhi, Shu-Hsien Chu, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Automated coding of activity videos from an OCD study

Vassilios Morellas, Nikolaos Papanikolopoulos, Kathryn Cullen, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Classification of Major Depressive Disorder from Resting-State fMRI

Keshab K. Parhi, Bryon A. Mueller, Bhaskar Sen, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Toward identifying behavioral risk markers for mental health disorders: an assistive system for monitoring children’s movements in a preschool classroom

Vassilios Morellas, Nikolaos Papanikolopoulos, Kathryn Cullen, 2018, Machine Vision and Applications.

Altered Structural Connection Between Hippocampus and Insula in Adolescent Major Depressive Disorder using DTI

Christophe Lenglet, Keshab K. Parhi, Shu-Hsien Chu, 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

Classification of borderline personality disorder based on spectral power of resting-state fMRI

Keshab K. Parhi, Tingting Xu, Kelvin O. Lim, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group

Olaf Steinsträter, Tilo Kircher, Axel Krug, 2019, bioRxiv.

Limbic structures and networks in children and adolescents with schizophrenia.

Kathryn Cullen, Tonya White, Monica Luciana, 2007, Schizophrenia bulletin.

Classification of obsessive-compulsive disorder from resting-state fMRI

Keshab K. Parhi, Bryon A. Mueller, Bhaskar Sen, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).