| MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide VM Bashyam, G Erus, J Doshi, M Habes, IM Nasrallah, M Truelove-Hill, ... Brain 143 (7), 2312-2324, 2020 | 265 | 2020 |
| Resting-state brain oscillations predict trait-like cognitive styles B Erickson, M Truelove-Hill, Y Oh, J Anderson, FZ Zhang, J Kounios Neuropsychologia 120, 1-8, 2018 | 53 | 2018 |
| A multidimensional neural maturation index reveals reproducible developmental patterns in children and adolescents M Truelove-Hill, G Erus, V Bashyam, E Varol, C Sako, RC Gur, RE Gur, ... Journal of Neuroscience 40 (6), 1265-1275, 2020 | 40 | 2020 |
| Predicting amyloid-β levels in amnestic mild cognitive impairment using machine learning techniques A Ezzati, DJ Harvey, C Habeck, A Golzar, IA Qureshi, AR Zammit, J Hyun, ... Journal of Alzheimer's Disease 73 (3), 1211-1219, 2020 | 36 | 2020 |
| Predictive value of ATN biomarker profiles in estimating disease progression in Alzheimer's disease dementia A Ezzati, A Abdulkadir, CR Jack Jr, PM Thompson, DJ Harvey, ... Alzheimer's & Dementia 17 (11), 1855-1867, 2021 | 23 | 2021 |
| A growth-curve analysis of the effects of future-thought priming on insight and analytical problem-solving M Truelove-Hill, BA Erickson, J Anderson, M Kossoyan, J Kounios Frontiers in psychology 9, 1311, 2018 | 9 | 2018 |
| Auditory sensory gating and performance on the Delis–Kaplan Executive Function System M Truelove-Hill, CA Yadon Journal of Cognitive Psychology 27 (8), 909-920, 2015 | 5 | 2015 |
| Using Machine Learning to Differentiate between Healthy Aging, Mild Cognitive Impairment, & Alzheimer's Disease M Truelove-Hill Drexel University, 2018 | 3 | 2018 |
| Erratum: MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide (Brain (2020) 143 (2312-2324 VM Bashyam, G Erus, J Doshi, M Habes, I Nasralah, M Truelove-Hill, ... Brain 144 (1), e12, 2021 | 1 | 2021 |
| Risk estimation of Amyloid Beta positivity on PET with Cognitive, CSF Biomarkers, volumetric MRI, APOE, and Demographic information.(515) A Ezzati, D Harvey, A Golzar, C Habeck, I Qureshi, A Zammit, J Hyun, ... Neurology 94 (15_supplement), 515, 2020 | 1 | 2020 |
| Structural Heterogeneity in Adolescent Brain Development M Truelove-Hill, S Sotardi, G Erus, C Davatzikos Biological Psychiatry 93 (9), S52, 2023 | | 2023 |
| MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14468 individuals worldwide (vol 143, pg 2312, 2020) VM Bashyam, G Erus, J Doshi, M Habes, IM Nasrallah, M Truelove-Hill, ... BRAIN 144, 2021 | | 2021 |
| Stages of tau aggregation associated with amyloidosis reflected in non‐negative matrix factorization components: Neuroimaging/Optimal neuroimaging measures for tracking disease … D Srinivasan, M Truelove‐Hill, G Erus, A Sotiras, J Doshi, DA Wolk, ... Alzheimer's & Dementia 16, e046728, 2020 | | 2020 |
| A predictive, modeling‐based screening tool to enrich amyloid beta positivity in a cognitively normal sample: Biomarkers (non‐neuroimaging)/Use in clinical trial design and … M Truelove‐Hill, G Erus, R Pomponio, V Bashyam, J Doshi, M Habes, ... Alzheimer's & Dementia 16, e045242, 2020 | | 2020 |
| Prediction of longitudinal clinical outcomes of MCI population using Alzheimer’s AT [N] biomarker profiling: Can machine learning methods improve our predictions? Biomarkers … A Ezzati, DJ Harvey, C Davatzikos, M Truelove‐Hill, LP Sreepada, ... Alzheimer's & Dementia 16, e041125, 2020 | | 2020 |
| A predictive modeling-based screening tool to enrich amyloid beta positivity in a cognitively normal sample M Truelove-Hill, G Erus, R Pomponio, V Bashyam, J Doshi, M Habes, ... 2020 Alzheimer's Association International Conference, 2020 | | 2020 |
| Stages of tau aggregation associated with amyloidosis reflected in non-negative matrix factorization components D Srinivasan, M Truelove-Hill, G Erus, A Sotiras, J Doshi, DA Wolk, ... 2020 Alzheimer's Association International Conference, 2020 | | 2020 |
| Using neuroimaging to predict brain age: insights into typical and atypical 1 development and risk for psychopathology 2 M Truelove-Hill, G Erus, V Bashyam, E Varol, C Sako, RC Gur, RE Gur, ... Journal of Neuroscience 40, 1265-1275, 2020 | | 2020 |
| O30. Multivariate Pattern Analysis Reveals Structural Brain Network Abnormalities in Schizophrenia A Sotiras, G Erus, M Truelove-Hill, A Kaczkurkin, GB Chand, C Sako, ... Biological Psychiatry 85 (10), S117-S118, 2019 | | 2019 |
John KouniosProfessor of Psychological and Brain Sciences, Drexel UniversityEmail verificata su drexel.edu