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Radiologic Clinics of North America|April 22, 2026
Opportunistic Screening with Imaging: Actionable Insights from Unused DataMatthew H Lee, John W Garrett, Joshua D Warner, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|July 3, 2025
CT Biomarkers for Phenotypic Biological Aging: Emerging Concepts and AdvantagesMatthew H Lee, John W Garrett, Daniel Liu, et al.
AJR. American Journal of Roentgenology|September 4, 2024
Intrapatient Changes in CT-Based Body Composition After Initiation of Semaglutide (Glucagon-Like Peptide-1 Receptor Agonist) TherapyLeslie W Nelson, Matthew H Lee, John W Garrett, et al.
Scientific Reports|September 19, 2024
Correlation of HbA1c levels with CT-based body composition biomarkers in diabetes mellitus and metabolic syndromeJoshua D Warner, Glen M Blake, John W Garrett, et al.
Radiology|April 28, 2026
CT-based Opportunistic Screening for Adding Clinical Value: How I Do ItPerry J Pickhardt, Mathew H Lee, Joshua D Warner, et al.
European Radiology|July 12, 2024
AI-based abdominal CT measurements of orthotopic and ectopic fat predict mortality and cardiometabolic disease risk in adultsMatthew H Lee, Ryan Zea, John W Garrett, et al.
Abdominal Radiology (New York)|January 27, 2024
AI-generated CT body composition biomarkers associated with increased mortality risk in socioeconomically disadvantaged individualsMatthew H Lee, Ryan Zea, John W Garrett, et al.
Abdominal Radiology (New York)|March 5, 2026
Longitudinal evaluation of intra-patient changes in computed tomography-based body composition measuresB Dustin Pooler, John W Garrett, Matthew H Lee, et al.
Radiology|September 27, 2022
Abdominal CT Body Composition Thresholds Using Automated AI Tools for Predicting 10-year Adverse OutcomesMatthew H Lee, Ryan Zea, John W Garrett, et al.
Abdominal Radiology (New York)|August 11, 2025
Ratio of visceral-to-subcutaneous fat area improves long-term mortality prediction over either measure alone: automated CT-based AI measures with longitudinal follow-up in a large adult cohortDaniel Liu, Adam J Kuchnia, Glen M Blake, et al.
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