Matthew Lee

Assistant Professor

University of Wisconsin School of Medicine and Public Health

United States

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Matthew Lee is an Assistant Professor at the University of Wisconsin Health, United States. His research focuses on the applications of artificial intelligence in radiology, particularly in the assessment of body composition through CT imaging. He has contributed significantly to the understanding of cardiometabolic disease risk and mortality prediction using AI-based imaging techniques.

Articles (10)

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2025

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2025

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

Collaborators (5)

Peter Graffy

University of Chicago

UNITED STATES

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Vincent Mellnick

Associate Professor

Washington University in Saint Louis School of Medicine

UNITED STATES

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Sanjeev Bhalla

UNITED STATES

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Leslie Nelson

Assistant Professor

University of Iowa Hospitals and Clinics

UNITED STATES

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Joshua Warner

Assistant Professor

University of Wisconsin-Madison

UNITED STATES

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Matthew Lee

Research Interests

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Articles (10)

AI-based abdominal CT measurements of orthotopic and ectopic fat predict mortality and cardiometabolic disease risk in adults

Radiology Integration Into the Preclinical Curriculum: Ways to Maximize Early Impact

AI-generated CT body composition biomarkers associated with increased mortality risk in socioeconomically disadvantaged individuals

Comparing fully automated AI body composition measures derived from thin and thick slice CT image data

Correlation of HbA1c levels with CT-based body composition biomarkers in diabetes mellitus and metabolic syndrome

Intrapatient Changes in CT-Based Body Composition After Initiation of Semaglutide (Glucagon-Like Peptide-1 Receptor Agonist) Therapy

Multimodality Imaging of Hamartomas: Interactive Case-based Approach

Abdominal CT Body Composition Thresholds Using Automated AI Tools for Predicting 10-year Adverse Outcomes

Fully automated CT-based adiposity assessment: comparison of the L1 and L3 vertebral levels for opportunistic prediction

Low Rectal Cancers at Initial Staging MRI

Collaborators (5)

Peter Graffy

Vincent Mellnick

Sanjeev Bhalla

Leslie Nelson

Joshua Warner

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