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Peter Sadowski

Showing results (11-20 of 18) with videos related to

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Communications Medicine|August 22, 2022
Deep learning predicts all-cause mortality from longitudinal total-body DXA imagingYannik Glaser, John Shepherd, Lambert Leong, et al.
Bioinformatics (Oxford, England)|July 5, 2014
Inter-species prediction of protein phosphorylation in the sbv IMPROVER species translation challengeMichael Biehl, Peter Sadowski, Gyan Bhanot, et al.
ISME Communications|October 29, 2025
Microbial composition and function are nested and shaped by food web topologiesSamira Fatemi, Nicola G Kriefall, Danyel Yogi, et al.
Radiology|September 7, 2021
Deep Learning Predicts Interval and Screening-detected Cancer from Screening Mammograms: A Case-Case-Control Study in 6369 WomenXun Zhu, Thomas K Wolfgruber, Lambert Leong, et al.
Lancet Regional Health. Americas|April 28, 2025
Prediction of mammographic breast density based on clinical breast ultrasound images using deep learning: a retrospective analysisArianna Bunnell, Dustin Valdez, Thomas K Wolfgruber, et al.
Communications Medicine|January 29, 2024
Generative deep learning furthers the understanding of local distributions of fat and muscle on body shape and health using 3D surface scansLambert T Leong, Michael C Wong, Yong E Liu, et al.
Communications Medicine|May 23, 2022
Dual-energy three-compartment breast imaging for compositional biomarkers to improve detection of malignant lesionsLambert T Leong, Serghei Malkov, Karen Drukker, et al.
Proceedings of the National Academy of Sciences of the United States of America|August 12, 2022
A ridge-to-reef ecosystem microbial census reveals environmental reservoirs for animal and plant microbiomesAnthony S Amend, Sean O I Swift, John L Darcy, et al.
Pageof 2

Showing results (11-20 of 18) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 18 results.
Communications Medicine|August 22, 2022
Deep learning predicts all-cause mortality from longitudinal total-body DXA imagingYannik Glaser, John Shepherd, Lambert Leong, et al.
Bioinformatics (Oxford, England)|July 5, 2014
Inter-species prediction of protein phosphorylation in the sbv IMPROVER species translation challengeMichael Biehl, Peter Sadowski, Gyan Bhanot, et al.
ISME Communications|October 29, 2025
Microbial composition and function are nested and shaped by food web topologiesSamira Fatemi, Nicola G Kriefall, Danyel Yogi, et al.
Radiology|September 7, 2021
Deep Learning Predicts Interval and Screening-detected Cancer from Screening Mammograms: A Case-Case-Control Study in 6369 WomenXun Zhu, Thomas K Wolfgruber, Lambert Leong, et al.
Lancet Regional Health. Americas|April 28, 2025
Prediction of mammographic breast density based on clinical breast ultrasound images using deep learning: a retrospective analysisArianna Bunnell, Dustin Valdez, Thomas K Wolfgruber, et al.
Communications Medicine|January 29, 2024
Generative deep learning furthers the understanding of local distributions of fat and muscle on body shape and health using 3D surface scansLambert T Leong, Michael C Wong, Yong E Liu, et al.
Communications Medicine|May 23, 2022
Dual-energy three-compartment breast imaging for compositional biomarkers to improve detection of malignant lesionsLambert T Leong, Serghei Malkov, Karen Drukker, et al.
Proceedings of the National Academy of Sciences of the United States of America|August 12, 2022
A ridge-to-reef ecosystem microbial census reveals environmental reservoirs for animal and plant microbiomesAnthony S Amend, Sean O I Swift, John L Darcy, et al.
Pageof 2