Matthew T. MacLean

Exome-wide association analysis of CT imaging-derived hepatic fat in a medical biobank

Jason E. Miller, D. Torigian, D. Rader, 2022, Cell reports. Medicine.

A multiancestry genome-wide association study of unexplained chronic ALT elevation as a proxy for nonalcoholic fatty liver disease with histological and radiological validation

Christopher D. Brown, Henry J. Lin, Yan V. Sun, 2022, Nature Genetics.

CT imaging-derived phenotypes for abdominal muscle and their association with age and sex in a medical biobank

Theodore G. Drivas, H. Sagreiya, S. Verma, 2024, Scientific reports.

Linking abdominal imaging traits to electronic health record phenotypes

D. Torigian, D. Mankoff, D. Rader, 2020, medRxiv.

A genome-wide association study for nonalcoholic fatty liver disease identifies novel genetic loci and trait-relevant candidate genes in the Million Veteran Program.

Christopher D. Brown, Liu, Sun, 2021, medRxiv.

A trans-ancestry genome-wide association study of unexplained chronic ALT elevation as a proxy for nonalcoholic fatty liver disease with histological and radiological validation

Anurag, Mary E. Haas, B. Neuschwander‐Tetri, 2021 .

Deep Learning Approach for Automated Segmentation of Myocardium Using Bone Scintigraphy SPECT/CT in Patients with Suspected Cardiac Amyloidosis.

Mahesh K. Vidula, P. Bravo, B. Drachman, 2024, Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology.

Learning-Based Radiomic Prediction of Type 2 Diabetes Mellitus Using Image-Derived Phenotypes

D. Torigian, J. Duda, H. Sagreiya, 2022, ArXiv.