Seyedmehdi Payabvash

Assistant Professor

Yale University

United States

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About

Dr. Seyedmehdi Payabvash is an Assistant Professor at Yale University in the United States. His research focuses on neuroimaging, cerebrovascular health, and socioeconomic impacts on brain health, as evidenced by his recent articles exploring topics such as childhood neighborhood deprivation, deep learning in neuroimaging, and gender differences in Medicare practices. He is dedicated to advancing understanding in the field of neuroradiology through innovative research and analysis.

Articles (20)

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2022

Collaborators (9)

dheeraj gandhi

Director and Professor of Interventional Neuroradiology, Professor of Radiology, Neurology and Neurosurgery

University of Maryland

UNITED STATES

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MingDe Lin

Adjunct Associate Professor

Yale University School of Medicine

UNITED STATES

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Matthew Rosen

Associate Professor

UNITED STATES

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Lawrence Staib

Yale University

UNITED STATES

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Amit Mahajan

Yale University School of Medicine

UNITED STATES

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Nils H Petersen

Yale University School of Medicine

UNITED STATES

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Adam de Havenon

Associate Professor

Yale University

UNITED STATES

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Paul M. Parizel

University of Western Australia

AUSTRALIA

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Björn Scheffler

University Hospital Essen

GERMANY

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Seyedmehdi Payabvash

Research Interests

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About

Articles (20)

Accuracy of Financial Disclosures by Scientific Presenters/Authors at the ASNR 2024 Annual Meeting

Gender Differences in Medicare Practice and Payment of Neuroradiologists

Impact of Childhood Neighborhood Deprivation on White Matter and Functional Connectivity During Adolescence

Advances in Cerebrovascular Imaging and Interventions

Strategies to Improve the Robustness and Generalizability of Deep Learning Segmentation and Classification in Neuroimaging

The Effect of Prenatal Marijuana Exposure on White Matter Microstructure and Cortical Morphology during Late Childhood

Predicting White Matter Hyperintensity: Leveraging Portable MRI for Accessible Brain Health Screening

Spatial Correlates of Dementia and Disability After Intracerebral Hemorrhage

IR Physician Compensation at U.S. Medical Schools: Trends and Segments

Transient Ischemic Attack in Women: Real-World Hospitalization Incidence, Outcomes, and Risk of Hemorrhage and Stroke

Contrast Agent Administration as a Source of Liability: A Legal Database Analysis

Utility of Gadolinium-Based Contrast in Initial Evaluation of Seizures in Children Presenting Emergently

Polygenic Susceptibility to Hypertension and Cognitive Performance in Middle-aged Persons Without Stroke or Dementia

Identification of White Matter Hyperintensities in Routine Emergency Department Visits Using Portable Bedside Magnetic Resonance Imaging

Future of Neurology & Technology: Neuroimaging Made Accessible Using Low-Field, Portable MRI

Artificial Intelligence for Neuroimaging and Musculoskeletal Radiology: Overview of Current Commercial Algorithms

Malpractice Litigation Related to Diagnosis and Treatment of Intracranial Aneurysms

Blood pressure-related white matter microstructural disintegrity and associated cognitive function impairment in asymptomatic adults

Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and Opportunities

Machine Learning Applications for Differentiation of Glioma from Brain Metastasis—A Systematic Review

Collaborators (9)

dheeraj gandhi

MingDe Lin

Matthew Rosen

Lawrence Staib

Amit Mahajan

Nils H Petersen

Adam de Havenon

Paul M. Parizel

Björn Scheffler

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