Thomas Mayrhofer

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 4

Top Topics

Convolutional Neural Network

Pulmonary Arterial Hypertension

Top Venues

Communications medicine

Annals of internal medicine

Nature communications

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

Publications

Foldyna Borek, Ibrahim Hadzic, Roman Zeleznik, Marcel C Langenbach, Vineet K Raghu, Thomas Mayrhofer, Michael T Lu, Hugo J W L Aerts
Deep learning analysis of epicardial adipose tissue to predict cardiovascular risk in heavy smokers. Communications medicine 4 (1) (2024)
Foldyna Borek, Ibrahim Hadzic, Roman Zeleznik, Marcel C Langenbach, Vineet K Raghu, Thomas Mayrhofer, Michael T Lu, Hugo J W L Aerts
Deep learning analysis of epicardial adipose tissue to predict cardiovascular risk in heavy smokers. Communications medicine 4 (1) (2024)
Roman Zeleznik, Borek Foldyna, Parastou Eslami, Jakob Weiss, Ivanov Alexander, Jana Taron, Chintan Parmar, Raza M Alvi, Dahlia Banerji, Mio Uno, Yasuka Kikuchi, Julia Karady, Lili Zhang, Jan-Erik Scholtz, Thomas Mayrhofer, Asya Lyass, Taylor F Mahoney, Joseph M Massaro, Ramachandran S Vasan, Pamela S Douglas, Udo Hoffmann, Michael T Lu, Hugo J W L Aerts
Deep convolutional neural networks to predict cardiovascular risk from computed tomography. Nature communications 12 (1) (2021)
Michael T Lu, Vineet K Raghu, Thomas Mayrhofer, Hugo J W L Aerts, Udo Hoffmann
Deep Learning Using Chest Radiographs to Identify High-Risk Smokers for Lung Cancer Screening Computed Tomography: Development and Validation of a Prediction Model. Annals of internal medicine 173 (9) (2020)