Connection

U. Schoepf to Early Detection of Cancer

This is a "connection" page, showing publications U. Schoepf has written about Early Detection of Cancer.
Connection Strength

0.250
  1. Automated detection of lung nodules and coronary artery calcium using artificial intelligence on low-dose CT scans for lung cancer screening: accuracy and prognostic value. BMC Med. 2021 03 04; 19(1):55.
    View in: PubMed
    Score: 0.128
  2. Detection and size measurements of pulmonary nodules in ultra-low-dose CT with iterative reconstruction compared to low dose CT. Eur J Radiol. 2016 Mar; 85(3):564-70.
    View in: PubMed
    Score: 0.089
  3. Deep learning model to quantify left atrium volume on routine non-contrast chest CT and predict adverse outcomes. J Cardiovasc Comput Tomogr. 2022 May-Jun; 16(3):245-253.
    View in: PubMed
    Score: 0.034
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.