E
Elizabeth Tong
Researcher at Stanford University
Publications - 64
Citations - 2439
Elizabeth Tong is an academic researcher from Stanford University. The author has contributed to research in topics: Deep learning & Medicine. The author has an hindex of 20, co-authored 56 publications receiving 1997 citations. Previous affiliations of Elizabeth Tong include University of California, San Francisco & University of Virginia.
Papers
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Journal ArticleDOI
High-resolution CT imaging of carotid artery atherosclerotic plaques.
Max Wintermark,Sumayya Jawadi,Joseph H. Rapp,Tarik Tihan,Elizabeth Tong,David V. Glidden,S. Abedin,Sarah Schaeffer,Gabriel Acevedo-Bolton,Benjamin M. Boudignon,Benjamin Orwoll,Xian-Mang Pan,David Saloner +12 more
TL;DR: The composition of carotid atherosclerotic plaques determined by CTA reflects plaque composition defined by histologic examination, as determined by a computer algorithm based on the density of each pixel.
Journal ArticleDOI
Resting-State Functional MRI: Everything That Nonexperts Have Always Wanted to Know.
Han Lv,Zhenchang Wang,Elizabeth Tong,Leanne M. Williams,Greg Zaharchuk,Michael Zeineh,Andrea N. Goldstein-Piekarski,Tali M. Ball,C. Liao,Max Wintermark +9 more
TL;DR: This description is to facilitate the adoption and use of resting-state fMRI in the clinical setting, helping neuroradiologists become familiar with these techniques and applying them for the care of patients with neurologic and psychiatric diseases.
Journal ArticleDOI
Prenatal Detection of Congenital Heart Disease
Mark K. Friedberg,Norman H. Silverman,Anita J. Moon-Grady,Anita J. Moon-Grady,Elizabeth Tong,Jennifer Nourse,Beatrice Sorenson,Jaimie Lee,Lisa K. Hornberger +8 more
TL;DR: In this article, the authors defined current frequency of prenatal detection of congenital heart disease (CHD), factors affecting prenatal detection, and its influence on postnatal course, and used logistic regression to analyze maternal, fetal, and prenatal-care provider risk factors for prenatal diagnosis.
Journal ArticleDOI
author correction: topographic correlates of driver mutations and endogenous gene expression in pediatric diffuse midline gliomas and hemispheric high-grade gliomas
Journal ArticleDOI
Reperfusion Is a More Accurate Predictor of Follow-Up Infarct Volume Than Recanalization. A Proof of Concept Using CT in Acute Ischemic Stroke Patients
Bruno P. Soares,Elizabeth Tong,Jason Hom,Su Chun Cheng,Joerg Bredno,Joerg Bredno,Loic Boussel,Wade S. Smith,Max Wintermark +8 more
TL;DR: Reperfusion was a more accurate predictor of follow-up infarct volume than recanalization and an MTT reperfusion index >75% was recommended to assess therapy efficacy in future acute ischemic stroke trials that use perfusion-CT.