Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Hugo Aerts, Ph.D.

Co-Author

This page shows the publications co-authored by Hugo Aerts and Borek Foldyna.
Connection Strength

1.222
  1. Deep-learning system to improve the quality and efficiency of volumetric heart segmentation for breast cancer. NPJ Digit Med. 2021 Mar 05; 4(1):43.
    View in: PubMed
    Score: 0.231
  2. 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
  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: 0.229
  4. 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: 0.223
  5. Density and morphology of coronary artery calcium for the prediction of cardiovascular events: insights from the Framingham Heart Study. Eur Radiol. 2019 Nov; 29(11):6140-6148.
    View in: PubMed
    Score: 0.203
  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. Radiomics versus Visual and Histogram-based Assessment to Identify Atheromatous Lesions at Coronary CT Angiography: An ex Vivo Study. Radiology. 2019 10; 293(1):89-96.
    View in: PubMed
    Score: 0.052
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.