Dr. Zvart Abaryan Profile

Dr. Zvart Abaryan

at Univ. of Southern California

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Author

Publications (4)

Proceedings Article | 3 November 2020 Paper

Sex-dependent age trajectories of subcortical brain structures: analysis of large-scale percentile models and shape morphometry

Christopher R. Ching, Zvart Abaryan, Vigneshwaran Santhalingam, Alyssa Zhu, Joanna Bright, Neda Jahanshad, Paul Thompson

Proceedings Volume 11583, 1158306 (2020) https://doi.org/10.1117/12.2579556

KEYWORDS: Brain, Shape analysis, Statistical analysis, Statistical modeling, Data modeling, Alzheimer's disease, Neuroimaging, Genetics

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Proceedings Article | 3 November 2020 Paper

Exogenous sex hormone effects on brain microstructure in women: a diffusion MRI study in the UK Biobank

Leila Nabulsi, Katherine Lawrence, Vigneshwaran Santhalingam, Zvart Abaryan, Christina Boyle, Julio Villalon-Reina, Talia Nir, Iyad Ba Gari, Alyssa Zhu, Elizabeth Haddad, Alexandra Muir, Neda Jahanshad, Paul Thompson

Proceedings Volume 11583, 1158308 (2020) https://doi.org/10.1117/12.2579631

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Proceedings Article | 3 November 2020 Paper

Advanced diffusion-weighted MRI metrics detect sex differences in aging among 15,000 adults in the UK Biobank

Katherine Lawrence, Leila Nabulsi, Vigneshwaran Santhalingam, Zvart Abaryan, Julio Villalon-Reina, Talia Nir, Iyad Ba Gari, Alyssa Zhu, Elizabeth Haddad, Alexandra Muir, Neda Jahanshad, Paul Thompson

Proceedings Volume 11583, 1158307 (2020) https://doi.org/10.1117/12.2579622

KEYWORDS: Magnetic resonance imaging, Data modeling, Diffusion weighted imaging, Diffusion tensor imaging, Diffusion, Anisotropy, Statistical analysis, Brain, Biological research

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Proceedings Article | 3 November 2020 Paper

Deep transfer learning of brain shape morphometry predicts Body Mass Index (BMI) in the UK Biobank

Ling-Li Zeng, Christopher R. Ching, Zvart Abaryan, Sophia Thomopoulos, Kai Gao, Alyssa Zhu, Anjanibhargavi Ragothaman, Faisal Rashid, Marc Harrison, Lauren Salminen, Brandalyn Riedel, Neda Jahanshad, Dewen Hu, Paul Thompson

Proceedings Volume 11583, 1158309 (2020) https://doi.org/10.1117/12.2577074

KEYWORDS: Brain, Neuroimaging, Magnetic resonance imaging, Databases, Brain mapping, Functional imaging

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