Scott Lee

Assistant Professor

Emory University Hospital

United States

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Scott Lee is an Assistant Professor at Emory University Hospital in the United States. His research primarily focuses on areas such as the use of prophylactic inferior vena cava filters, the assessment of chest radiographic severity in COVID-19 pneumonia, and cardiac magnetic resonance tissue characterization. He is also involved in evaluating advanced algorithms for thoracic aortic measurements and exploring the comparative effectiveness of various medical interventions.

Articles (10)

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2024

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2022

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2022

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2022

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2022

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2022

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2022

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2021

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2021

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2020

Collaborators (5)

Carlo N. De Cecco

Associate Professor of Radiology and Biomedical Informatics

Emory University

UNITED STATES

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Benjamin Risk

Assistant Professor

Emory University School of Public Health

UNITED STATES

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Richard Duszak

University of Mississippi

UNITED STATES

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Yashar Kiarashi

Emory University

UNITED STATES

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Nima Kokabi

Emory University School of Medicine

UNITED STATES

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Scott Lee

Research Interests

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Articles (10)

Contemporary Use of Prophylactic Inferior Vena Cava Filters in Patients With Severe Traumatic Injuries and High Thromboembolic Event Risk

Evaluating the Performance of a Convolutional Neural Network Algorithm for Measuring Thoracic Aortic Diameters in a Heterogeneous Population

Evaluating the Performance of a Convolutional Neural Network Algorithm for Measuring Thoracic Aortic Diameters in a Heterogeneous Population

Cardiac Magnetic Resonance Tissue Characterization in Ischemic Cardiomyopathy

COVID-19 pneumonia chest radiographic severity score: variability assessment among experienced and in-training radiologists and creation of a multireader composite score database for artificial intelligence algorithm development

Prophylactic IVC filter placement in patients with severe intracranial, spinal cord, and orthopedic injuries at high thromboembolic event risk: A utilization and outcomes analysis of the National Trauma Data Bank

Transfer language space with similar domain adaptation: a case study with hepatocellular carcinoma

Utilization and Comparative Effectiveness of Uterine Artery Embolization versus Hysterectomy for Severe Postpartum Hemorrhage: A National Inpatient Sample Study

Utilizing fully automated abdominal CT-based biomarkers for opportunistic screening for metabolic syndrome in adults without symptoms

A Scalable Natural Language Processing for Inferring BT-RADS Categorization from Unstructured Brain Magnetic Resonance Reports

Collaborators (5)

Carlo N. De Cecco

Benjamin Risk

Richard Duszak

Yashar Kiarashi

Nima Kokabi

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