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Artemis Zavaliangos-Petropulu
Artemis Zavaliangos-Petropulu
Verified email at g.ucla.edu
Title
Cited by
Cited by
Year
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
842019
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 V÷lzke, ...
Human brain mapping 43 (1), 341-351, 2022
782022
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
712022
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
692020
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
682022
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
462022
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
422021
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
362015
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
332017
Pipeline for analyzing lesions after stroke (PALS)
KL Ito, A Kumar, A Zavaliangos-Petropulu, SC Cramer, SL Liew
Frontiers in neuroinformatics 12, 63, 2018
242018
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
182022
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
152017
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 Analysisá…, 2021
142021
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
132023
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
122022
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
102023
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
102021
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 iná…, 2018
82018
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 Analysisá…, 2018
62018
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 2017á…, 2017
62017
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