Harvard Catalyst Profiles

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Hugo Aerts, Ph.D.

Co-Author

This page shows the publications co-authored by Hugo Aerts and Thomas Mayrhofer.
Connection Strength

0.564
  1. Deep convolutional neural networks to predict cardiovascular risk from computed tomography. Nat Commun. 2021 01 29; 12(1):715.
    View in: PubMed
    Score: 0.229
  2. Radiologists can visually predict mortality risk based on the gestalt of chest radiographs comparable to a deep learning network. Sci Rep. 2021 10 01; 11(1):19586.
    View in: PubMed
    Score: 0.060
  3. Small whole heart volume predicts cardiovascular events in patients with stable chest pain: insights from the PROMISE trial. Eur Radiol. 2021 Aug; 31(8):6200-6210.
    View in: PubMed
    Score: 0.057
  4. Deep Learning Using Chest Radiographs to Identify High-Risk Smokers for Lung Cancer Screening Computed Tomography: Development and Validation of a Prediction Model. Ann Intern Med. 2020 11 03; 173(9):704-713.
    View in: PubMed
    Score: 0.056
  5. Epicardial Adipose Tissue in Patients With Stable Chest Pain: Insights From the PROMISE Trial. JACC Cardiovasc Imaging. 2020 10; 13(10):2273-2275.
    View in: PubMed
    Score: 0.056
  6. Radiomics of Coronary Artery Calcium in the Framingham Heart Study. Radiol Cardiothorac Imaging. 2020 Feb 27; 2(1):e190119.
    View in: PubMed
    Score: 0.054
  7. Deep Learning to Assess Long-term Mortality From Chest Radiographs. JAMA Netw Open. 2019 07 03; 2(7):e197416.
    View in: PubMed
    Score: 0.051
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.