Sage Hahn
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Recalibrating expectations about effect size: A multi-method survey of effect sizes in the ABCD study
MM Owens, A Potter, CS Hyatt, M Albaugh, WK Thompson, T Jernigan, ...
PloS one 16 (9), e0257535, 2021
Baseline brain function in the preadolescents of the ABCD Study
B Chaarani, S Hahn, N Allgaier, S Adise, MM Owens, AC Juliano, ...
Nature neuroscience 24 (8), 1176-1186, 2021
Multimethod investigation of the neurobiological basis of ADHD symptomatology in children aged 9-10: baseline data from the ABCD study
MM Owens, N Allgaier, S Hahn, DK Yuan, M Albaugh, S Adise, ...
Translational psychiatry 11 (1), 64, 2021
Multimodal brain predictors of current weight and weight gain in children enrolled in the ABCD study®
S Adise, N Allgaier, J Laurent, S Hahn, B Chaarani, M Owens, DK Yuan, ...
Developmental Cognitive Neuroscience 49, 100948, 2021
Investigation of psychiatric and neuropsychological correlates of default mode network and dorsal attention network anticorrelation in children
MM Owens, DK Yuan, S Hahn, M Albaugh, N Allgaier, B Chaarani, ...
Cerebral Cortex 30 (12), 6083-6096, 2020
Machine deep learning accurately detects endoleak after endovascular abdominal aortic aneurysm repair
S Hahn, M Perry, CS Morris, S Wshah, DJ Bertges
JVS-Vascular Science 1, 5-12, 2020
Neuroanatomical correlates of impulsive traits in children aged 9 to 10.
MM Owens, CS Hyatt, JC Gray, JD Miller, DR Lynam, S Hahn, N Allgaier, ...
Journal of abnormal psychology 129 (8), 831, 2020
Examination of the association between exposure to childhood maltreatment and brain structure in young adults: a machine learning analysis
M Price, M Albaugh, S Hahn, AC Juliano, N Fani, ZMF Brier, AC Legrand, ...
Neuropsychopharmacology 46 (11), 1888-1894, 2021
White matter microstructure differences in individuals with dependence on cocaine, methamphetamine, and nicotine: Findings from the ENIGMA-Addiction working group
J Ottino-González, A Uhlmann, S Hahn, Z Cao, RB Cupertino, N Schwab, ...
Drug and alcohol dependence 230, 109185, 2022
Predicting alcohol dependence from multi‐site brain structural measures
S Hahn, S Mackey, J Cousijn, JJ Foxe, A Heinz, R Hester, K Hutchinson, ...
Human brain mapping 43 (1), 555-565, 2022
The ABCD stop signal data: Response to Bissett et al.
H Garavan, B Chaarani, S Hahn, N Allgaier, A Juliano, DK Yuan, C Orr, ...
Developmental Cognitive Neuroscience 57, 101144, 2022
Bayesian causal network modeling suggests adolescent cannabis use accelerates prefrontal cortical thinning
MM Owens, MD Albaugh, N Allgaier, D Yuan, G Robert, RB Cupertino, ...
Translational psychiatry 12 (1), 188, 2022
Brain Predictability toolbox: a Python library for neuroimaging based machine learning
S Hahn, D Yuan, W Thompson, MM Owens, N Allgaier, H Garavan
Bioinformatics, 2020
Deep learning for recognition of endoleak after endovascular abdominal aortic aneurysm repair
S Hahn, CS Morris, DJ Bertges, S Wshah
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
Longitudinal assessment of brain structure and behaviour in youth with rapid weight gain: Potential contributing causes and consequences
S Adise, AT Marshall, S Hahn, S Zhao, E Kan, KE Rhee, MM Herting, ...
Pediatric Obesity 18 (2), e12985, 2023
One-year predictions of delayed reward discounting in the adolescent brain cognitive development study.
MM Owens, S Hahn, N Allgaier, J MacKillop, M Albaugh, D Yuan, ...
Experimental and Clinical Psychopharmacology 30 (6), 928, 2022
Performance scaling for structural MRI surface parcellations: a machine learning analysis in the ABCD Study
S Hahn, MM Owens, DK Yuan, AC Juliano, A Potter, H Garavan, ...
Cerebral cortex, 2021
Method and apparatus for analyzing aortic aneurysms and endoleaks in computed tomography scans
D Bertges, S Wshah, CS Morris, S Hahn
US Patent App. 17/602,164, 2022
Brain structural covariance network features are robust markers of early heavy alcohol use
J Ottino‐González, RB Cupertino, Z Cao, S Hahn, D Pancholi, ...
Addiction 119 (1), 113-124, 2024
Brain Predictability toolbox
S Hahn, N Allgaier, H Garavan
OSF, 2023
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