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Cardiovascular Diagnosis and Therapy
|
January 23, 2015
Coronary CTA using scout-based automated tube potential and current selection algorithm, with breast displacement results in lower radiation exposure in females compared to males
Harshna Vadvala, Phillip Kim, Thomas Mayrhofer, et al.
Annals of Internal Medicine
|
September 1, 2020
Deep Learning Using Chest Radiographs to Identify High-Risk Smokers for Lung Cancer Screening Computed Tomography: Development and Validation of a Prediction Model
Michael T Lu, Vineet K Raghu, Thomas Mayrhofer, et al.
JAMA Network Open
|
July 20, 2019
Deep Learning to Assess Long-term Mortality From Chest Radiographs
Michael T Lu, Alexander Ivanov, Thomas Mayrhofer, et al.
European Journal of Clinical Investigation
|
February 14, 2015
When is rational to order a diagnostic test, or prescribe treatment: the threshold model as an explanation of practice variation
Benjamin Djulbegovic, Jef van den Ende, Robert M Hamm, et al.
European Radiology
|
January 26, 2024
Incidence of brain injuries in a large cohort of very preterm and extremely preterm infants at term-equivalent age: results of a single tertiary neonatal care center over 10 years
Karla Drommelschmidt, Thomas Mayrhofer, Britta Hüning, et al.
European Radiology
|
February 19, 2025
Cerebellar hemorrhages in very preterm infants: presence, involvement of the dentate nucleus, and cerebellar hypoplasia are associated with adverse cognitive outcomes
Karla Drommelschmidt, Thomas Mayrhofer, Borek Foldyna, et al.
Scientific Reports
|
October 2, 2021
Radiologists can visually predict mortality risk based on the gestalt of chest radiographs comparable to a deep learning network
Jakob Weiss, Jana Taron, Zexi Jin, et al.
Journal of Clinical Medicine
|
September 29, 2020
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
Amit Pursnani, Jana Taron, Thomas Mayrhofer, et al.
Journal of Cardiovascular Computed Tomography
|
April 8, 2015
Potential for coronary CT angiography to tailor medical therapy beyond preventive guideline-based recommendations: insights from the ROMICAT I trial
Amit Pursnani, Christopher L Schlett, Thomas Mayrhofer, et al.
Communications Medicine
|
March 14, 2024
Deep learning analysis of epicardial adipose tissue to predict cardiovascular risk in heavy smokers
Borek Foldyna, Ibrahim Hadzic, Roman Zeleznik, et al.
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Search research articles
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Showing results (11-20 of 91) with videos related to
Sort By:
Page
of 10
Cardiovascular Diagnosis and Therapy
|
January 23, 2015
Coronary CTA using scout-based automated tube potential and current selection algorithm, with breast displacement results in lower radiation exposure in females compared to males
Harshna Vadvala, Phillip Kim, Thomas Mayrhofer, et al.
Annals of Internal Medicine
|
September 1, 2020
Deep Learning Using Chest Radiographs to Identify High-Risk Smokers for Lung Cancer Screening Computed Tomography: Development and Validation of a Prediction Model
Michael T Lu, Vineet K Raghu, Thomas Mayrhofer, et al.
JAMA Network Open
|
July 20, 2019
Deep Learning to Assess Long-term Mortality From Chest Radiographs
Michael T Lu, Alexander Ivanov, Thomas Mayrhofer, et al.
European Journal of Clinical Investigation
|
February 14, 2015
When is rational to order a diagnostic test, or prescribe treatment: the threshold model as an explanation of practice variation
Benjamin Djulbegovic, Jef van den Ende, Robert M Hamm, et al.
European Radiology
|
January 26, 2024
Incidence of brain injuries in a large cohort of very preterm and extremely preterm infants at term-equivalent age: results of a single tertiary neonatal care center over 10 years
Karla Drommelschmidt, Thomas Mayrhofer, Britta Hüning, et al.
European Radiology
|
February 19, 2025
Cerebellar hemorrhages in very preterm infants: presence, involvement of the dentate nucleus, and cerebellar hypoplasia are associated with adverse cognitive outcomes
Karla Drommelschmidt, Thomas Mayrhofer, Borek Foldyna, et al.
Scientific Reports
|
October 2, 2021
Radiologists can visually predict mortality risk based on the gestalt of chest radiographs comparable to a deep learning network
Jakob Weiss, Jana Taron, Zexi Jin, et al.
Journal of Clinical Medicine
|
September 29, 2020
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
Amit Pursnani, Jana Taron, Thomas Mayrhofer, et al.
Journal of Cardiovascular Computed Tomography
|
April 8, 2015
Potential for coronary CT angiography to tailor medical therapy beyond preventive guideline-based recommendations: insights from the ROMICAT I trial
Amit Pursnani, Christopher L Schlett, Thomas Mayrhofer, et al.
Communications Medicine
|
March 14, 2024
Deep learning analysis of epicardial adipose tissue to predict cardiovascular risk in heavy smokers
Borek Foldyna, Ibrahim Hadzic, Roman Zeleznik, et al.
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of 10