| Diffusion MRI indices and their relation to cognitive impairment in brain aging: the updated multi-protocol approach in ADNI3 A Zavaliangos-Petropulu, TM Nir, SI Thomopoulos, RI Reid, MA Bernstein, ... Frontiers in Neuroinformatics 13, 2, 2019 | 82 | 2019 |
| Subcortical shape alterations in major depressive disorder: Findings from the ENIGMA major depressive disorder working group TC Ho, B Gutman, E Pozzi, HJ Grabe, N Hosten, K Wittfeld, H Völzke, ... Human brain mapping 43 (1), 341-351, 2022 | 73 | 2022 |
| Mapping subcortical brain alterations in 22q11. 2 deletion syndrome: Effects of deletion size and convergence with idiopathic neuropsychiatric illness CRK Ching, BA Gutman, D Sun, J Villalon Reina, A Ragothaman, D Isaev, ... American Journal of Psychiatry 177 (7), 589-600, 2020 | 69 | 2020 |
| A large, curated, open-source stroke neuroimaging dataset to improve lesion segmentation algorithms SL Liew, BP Lo, MR Donnelly, A Zavaliangos-Petropulu, JN Jeong, ... Scientific data 9 (1), 320, 2022 | 65 | 2022 |
| The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain–behavior relationships after stroke SL Liew, A Zavaliangos‐Petropulu, N Jahanshad, CE Lang, KS Hayward, ... Human brain mapping 43 (1), 129-148, 2022 | 65 | 2022 |
| A meta‐analysis of deep brain structural shape and asymmetry abnormalities in 2,833 individuals with schizophrenia compared with 3,929 healthy volunteers via the ENIGMA Consortium BA Gutman, TGM Van Erp, K Alpert, CRK Ching, D Isaev, A Ragothaman, ... Human brain mapping 43 (1), 352-372, 2022 | 46 | 2022 |
| A white matter connection of schizophrenia and Alzheimer’s disease P Kochunov, A Zavaliangos-Petropulu, N Jahanshad, PM Thompson, ... Schizophrenia bulletin 47 (1), 197-206, 2021 | 41 | 2021 |
| Feature selection improves the accuracy of classifying Alzheimer disease using diffusion tensor images A Demirhan, TM Nir, A Zavaliangos-Petropulu, CR Jack, MW Weiner, ... 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 126-130, 2015 | 36 | 2015 |
| Fractional anisotropy derived from the diffusion tensor distribution function boosts power to detect Alzheimer's disease deficits TM Nir, N Jahanshad, JE Villalon‐Reina, D Isaev, ... Magnetic Resonance in Medicine 78 (6), 2322-2333, 2017 | 32 | 2017 |
| Pipeline for analyzing lesions after stroke (PALS) KL Ito, A Kumar, A Zavaliangos-Petropulu, SC Cramer, SL Liew Frontiers in neuroinformatics 12, 63, 2018 | 24 | 2018 |
| Testing a convolutional neural network‐based hippocampal segmentation method in a stroke population A Zavaliangos‐Petropulu, MA Tubi, E Haddad, A Zhu, MN Braskie, ... Human Brain Mapping 43 (1), 234-243, 2022 | 17 | 2022 |
| Do candidate genes affect the brain’s white matter microstructure? large-scale evaluation of 6,165 diffusion mri scans N Jahanshad, H Ganjgahi, J Bralten, A den Braber, J Faskowitz, AR Knodt, ... BioRxiv, 107987, 2017 | 14 | 2017 |
| Diffusion MRI metrics and their relation to dementia severity: effects of harmonization approaches SI Thomopoulos, TM Nir, JE Villalon-Reina, A Zavaliangos-Petropulu, ... 17th International Symposium on Medical Information Processing and Analysis …, 2021 | 13 | 2021 |
| Chronic stroke sensorimotor impairment is related to smaller hippocampal volumes: An ENIGMA analysis A Zavaliangos‐Petropulu, B Lo, MR Donnelly, N Schweighofer, K Lohse, ... Journal of the American Heart Association 11 (10), e025109, 2022 | 12 | 2022 |
| Association of brain age, lesion volume, and functional outcome in patients with stroke SL Liew, N Schweighofer, JH Cole, A Zavaliangos-Petropulu, BP Lo, ... Neurology 100 (20), e2103-e2113, 2023 | 10 | 2023 |
| Smaller spared subcortical nuclei are associated with worse post-stroke sensorimotor outcomes in 28 cohorts worldwide SL Liew, A Zavaliangos-Petropulu, N Schweighofer, N Jahanshad, ... Brain communications 3 (4), fcab254, 2021 | 9 | 2021 |
| Neuroimaging-derived biomarkers of the antidepressant effects of ketamine A Zavaliangos-Petropulu, NB Al-Sharif, B Taraku, AM Leaver, AK Sahib, ... Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 8 (4), 361-386, 2023 | 8 | 2023 |
| Deep learning for quality control of subcortical brain 3d shape models D Petrov, BA Gutman, E Kuznetsov, CRK Ching, K Alpert, ... Shape in Medical Imaging: International Workshop, ShapeMI 2018, Held in …, 2018 | 8 | 2018 |
| Ranking diffusion tensor measures of brain aging and Alzheimer’s disease A Zavaliangos-Petropulu, TM Nir, SI Thomopoulos, N Jahanshad, RI Reid, ... 14th International Symposium on Medical Information Processing and Analysis …, 2018 | 6 | 2018 |
| Machine learning for large-scale quality control of 3D shape models in neuroimaging D Petrov, BA Gutman, SH Yu, K Alpert, A Zavaliangos-Petropulu, D Isaev, ... Machine Learning in Medical Imaging: 8th International Workshop, MLMI 2017 …, 2017 | 6 | 2017 |
