Moss Zhao

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Stanford University

United States

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Recent Grants

Grant: Close

Next Generation Imaging of Brain Dynamics

Open Date: 2023-07-01

Close Date: 2026-06-30

Grant: Close

Clinical Translation of a Non-invasive Brain Stress Test to Predict Stroke

Open Date: 2021-04-01

Close Date: 2023-03-01

Grant: Close

Clinical Translation of a Non-invasive Brain Stress Test to Predict Stroke

Open Date: 2021-04-01

Close Date: 2023-03-31

Articles (20)

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2021

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2020

Collaborators (16)

Alex Dahlen

Clinical Associate Professor

New York University

UNITED STATES

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Yuriko Suzuki

University of Oxford

UNITED KINGDOM

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Matthias J. P. van Osch

NETHERLANDS

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Zungho Zun

Assistant Professor

Weill Cornell Medicine

UNITED STATES

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Audrey Fan

Assistant Professor

University of California, Davis

UNITED STATES

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Fernando Zelaya

King’s College London

UNITED KINGDOM

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Qin Qin

Associate Professor

Johns Hopkins University

UNITED STATES

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Henk Mutsaerts

Assistant prof

University of Amsterdam

NETHERLANDS

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Keith Van Haren

Assistant Professor

Stanford University

UNITED STATES

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Guido Davidzon

Stanford University

UNITED STATES

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Krishna Nayak

Professor

University of Southern California

UNITED STATES

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Jia Guo

Assistant Professor

University of California, Riverside

UNITED STATES

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Xavier Golay

University College London

UNITED KINGDOM

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Greg Zaharchuk

UNITED STATES

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María A. Fernández-Seara

Professor

Clinica Universidad de Navarra

SPAIN

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Luis Hernandez-Garcia

Research Professor

University of Michigan

UNITED STATES

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Moss Zhao

Research Interests

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Contact this professor

Recent Grants

Articles (20)

Characterizing pre- and post-operative cerebral blood flow and transit time in pediatric moyamoya patients using multi-delay ASL and DSC MRI

Erratum to: Velocity‐selective arterial spin labeling perfusion MRI: A review of the state of the art and recommendations for clinical implementation (Magn Reson Med. 2022; 88:1528–1547)

Recommendations for quantitative cerebral perfusion MRI using multi‐timepoint arterial spin labeling: Acquisition, quantification, and clinical applications

Turning brain MRI into diagnostic PET: 15O-water PET CBF synthesis from multi-contrast MRI via attention-based encoder–decoder networks

Reproducibility of arterial spin labeling cerebral blood flow image processing: A report of the ISMRM open science initiative for perfusion imaging (OSIPI) and the ASL MRI challenge

Editorial for “Altered Brain Function in Pediatric Patients With Complete Spinal Cord Injury: A Resting‐State Functional MRI Study”

Measuring Quantitative Cerebral Blood Flow in Healthy Children: A Systematic Review of Neuroimaging Techniques

Effect of vitamin D supplementation on cerebral blood flow in male patients with adrenoleukodystrophy

Short‐ and Long‐Term MRI Assessed Hemodynamic Changes in Pediatric Moyamoya Patients After Revascularization

Measuring Quantitative Cerebral Blood Flow in Healthy Children: A Systematic Review of Neuroimaging Techniques

Segmenting Cervical Arteries in Phase Contrast Magnetic Resonance Imaging Using Convolutional Encoder–Decoder Networks

Early-Frame [<sup>18</sup>F]Florbetaben PET/MRI for Cerebral Blood Flow Quantification in Patients with Cognitive Impairment: Comparison to an [<sup>15</sup>O]Water Gold Standard

BASIL: A toolbox for perfusion quantification using arterial spin labelling

Velocity‐selective arterial spin labeling perfusion MRI: A review of the state of the art and recommendations for clinical implementation

Revascularization improves vascular hemodynamics − a study assessing cerebrovascular reserve and transit time in Moyamoya patients using MRI

Using arterial spin labeling to measure cerebrovascular reactivity in Moyamoya disease: Insights from simultaneous PET/MRI

Reproducibility of cerebrovascular reactivity measurements: A systematic review of neuroimaging techniques*

Cerebrovascular reactivity measurements using simultaneous 15O-water PET and ASL MRI: Impacts of arterial transit time, labeling efficiency, and hematocrit

Reliability of arterial spin labeling derived cerebral blood flow in periventricular white matter

Predicting PET Cerebrovascular Reserve with Deep Learning by Using Baseline MRI: A Pilot Investigation of a Drug-Free Brain Stress Test

Collaborators (16)

Alex Dahlen

Yuriko Suzuki

Matthias J. P. van Osch

Zungho Zun

Audrey Fan

Fernando Zelaya

Qin Qin

Henk Mutsaerts

Keith Van Haren

Guido Davidzon

Krishna Nayak

Jia Guo

Xavier Golay

Greg Zaharchuk

María A. Fernández-Seara

Luis Hernandez-Garcia

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