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 | 93 | 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 | 63 | 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 | 37 | 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 | 36 | 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 | 32 | 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 | 32 | 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 | 27 | 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 | 18 | 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 | 16 | 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 | 15 | 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 | 14 | 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 | 12 | 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 | 9 | 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 | 8 | 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 | 7 | 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 | 4 | 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 | 3 | 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 | 2 | 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 | 1 | 2024 |
Brain Predictability toolbox S Hahn, N Allgaier, H Garavan OSF, 2023 | 1 | 2023 |