Lambert T Leong (Lambert Leong)

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 6

Top Topics

Skeletal Muscle

Fluorescence Imaging

Top Venues

Communications medicine

This page only lists publications with an associated author ORCID identifier.

Publications

Lambert T Leong, Michael C Wong, Yong E Liu, Yannik Glaser, Brandon K Quon, Nisa N Kelly, Devon Cataldi, Peter Sadowski, Steven B Heymsfield, John A Shepherd
Generative deep learning furthers the understanding of local distributions of fat and muscle on body shape and health using 3D surface scans. Communications medicine 4 (1) (2024)
Lambert T Leong, Michael C Wong, Yong E Liu, Yannik Glaser, Brandon K Quon, Nisa N Kelly, Devon Cataldi, Peter Sadowski, Steven B Heymsfield, John A Shepherd
Generative deep learning furthers the understanding of local distributions of fat and muscle on body shape and health using 3D surface scans. Communications medicine 4 (1) (2024)
Lambert T Leong, Michael C Wong, Yong E Liu, Yannik Glaser, Brandon K Quon, Nisa N Kelly, Devon Cataldi, Peter Sadowski, Steven B Heymsfield, John A Shepherd
Generative deep learning furthers the understanding of local distributions of fat and muscle on body shape and health using 3D surface scans. Communications medicine 4 (1) (2024)
Yannik Glaser, John Shepherd, Lambert T Leong, Thomas K Wolfgruber, Li-Yung Lui, Peter Sadowski, Steven R Cummings
Deep learning predicts all-cause mortality from longitudinal total-body DXA imaging. Communications medicine 2 (2022)
Lambert T Leong, Serghei Malkov, Karen Drukker, Bethany L Niell, Peter Sadowski, Thomas K Wolfgruber, Heather I Greenwood, Bonnie N Joe, Karla Kerlikowske, Maryellen L Giger, John A Shepherd
Dual-energy three-compartment breast imaging for compositional biomarkers to improve detection of malignant lesions. Communications medicine 1 (2021)
Xun Zhu, Thomas K Wolfgruber, Lambert T Leong, Matthew Jensen, Christopher G Scott, Stacey J Winham, Peter Sadowski, Celine M Vachon, Karla Kerlikowske, John A Shepherd
Deep Learning Predicts Interval and Screening-detected Cancer from Screening Mammograms: A Case-Case-Control Study in 6369 Women. Radiology 301 (3) (2021)