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Shepherd Research Lab

Thomas Wolfgruber

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Thomas Wolfgruber

Post-Doc

I am a post-doctoral researcher primarily studying mammography for risk detection using machine learning. As a data scientist and software engineer I support the general scientific and technological goals of the group. My experience ranges from co-authoring scientific papers published in peer-reviewed journals to more day-to-day tasks like server administration.

Selected Publications

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Glaser Y, Shepherd J, Leong L, Wolfgruber T, Lui LY, Sadowski P, et al. Deep learning predicts all-cause mortality from longitudinal total-body DXA imaging. Commun Med [Internet]. 2022 Aug 16;2. Cite Download
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Leong LT, Malkov S, Drukker K, Niell BL, Sadowski P, Wolfgruber T, et al. Dual-energy three-compartment breast imaging for compositional biomarkers to improve detection of malignant lesions. Communications Medicine [Internet]. 2021 Aug 31;1(1):29. Cite Download
1.
Leong LT, Wong MC, Glaser Y, Wolfgruber T, Heymsfield SB, Sadwoski P, et al. Quantitative Imaging Principles Improves Medical Image Learning. 2022 Jul 1; Cite Download
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Zhu X, Wolfgruber TK, Leong L, Jensen M, Scott C, Winham S, et al. Deep Learning Predicts Interval and Screening-detected Cancer from Screening Mammograms: A Case-Case-Control Study in 6369 Women. Radiology [Internet]. 2021 Dec;301(3):550–8. Cite