Mayrhofer, Thomas
Mayrhofer, Thomas 1981-
Thomas Mayrhofer researcher
VIAF ID: 16144648224501125777 (Personal)
Permalink: http://viaf.org/viaf/16144648224501125777
Preferred Forms
- 100 1 0 ‡a Mayrhofer, Thomas
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- 100 1 _ ‡a Mayrhofer, Thomas
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- 100 1 _ ‡a Mayrhofer, Thomas
- 100 1 _ ‡a Mayrhofer, Thomas
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- 100 1 _ ‡a Mayrhofer, Thomas ‡d 1981-
- 100 1 _ ‡a Mayrhofer, Thomas ‡d 1981-
- 100 0 _ ‡a Thomas Mayrhofer ‡c researcher
4xx's: Alternate Name Forms (1)
5xx's: Related Names (4)
- 510 2 _ ‡a Fachhochschule Stralsund ‡4 affi ‡4 https://d-nb.info/standards/elementset/gnd#affiliation ‡e Affiliation
- 510 2 _ ‡a Harvard Medical School ‡4 affi ‡4 https://d-nb.info/standards/elementset/gnd#affiliation ‡e Affiliation
- 551 _ _ ‡a Magdeburg ‡4 ortg ‡4 https://d-nb.info/standards/elementset/gnd#placeOfBirth
- 510 2 _ ‡a Massachusetts General Hospital ‡g Boston, Mass. ‡4 affi ‡4 https://d-nb.info/standards/elementset/gnd#affiliation ‡e Affiliation
Works
Title | Sources |
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Central Core Laboratory versus Site Interpretation of Coronary CT Angiography: Agreement and Association with Cardiovascular Events in the PROMISE Trial | |
Clinical implementation of an emergency department coronary computed tomographic angiography protocol for triage of patients with suspected acute coronary syndrome | |
Deep Learning Using Chest Radiographs to Identify High-Risk Smokers for Lung Cancer Screening Computed Tomography: Development and Validation of a Prediction Model | |
Exploring the consistency of higher-order risk preferences | |
Französische und deutsche Einmann-Gmbh : Rechtsgeschäfte in der Gründungsphase | |
Guideline-based statin eligibility, coronary artery stenosis and cardiovascular events in patients with stable chest pain: a secondary analysis of the PROMISE randomized clinical trial | |
Medical Decision Making : A Health Economic Primer | |
Pre-existing autoimmune disease increases the risk of cardiovascular and noncardiovascular events after immunotherapy | |
Prudence and prevention - empirical evidence | |
Radiologists can visually predict mortality risk based on the gestalt of chest radiographs comparable to a deep learning network | |
Revalidating a survey instrument for measuring risk preferences |