Connection

Co-Authors

This is a "connection" page, showing publications co-authored by U. Schoepf and Jeremy Burt.
Connection Strength

2.497
  1. Automated diagnosis and prognosis of COVID-19 pneumonia from initial ER chest X-rays using deep learning. BMC Infect Dis. 2022 Jul 21; 22(1):637.
    View in: PubMed
    Score: 0.221
  2. Tumor burden of lung metastases at initial staging in breast cancer patients detected by artificial intelligence as a prognostic tool for precision medicine. Heliyon. 2022 Feb; 8(2):e08962.
    View in: PubMed
    Score: 0.215
  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: 0.212
  4. Normative Values of Pediatric Thoracic Aortic Diameters Indexed to Body Surface Area Using Computed Tomography. J Thorac Imaging. 2022 Jul 01; 37(4):231-238.
    View in: PubMed
    Score: 0.210
  5. Coronary CT Fractional Flow Reserve before Transcatheter Aortic Valve Replacement: Clinical Outcomes. Radiology. 2022 01; 302(1):50-58.
    View in: PubMed
    Score: 0.209
  6. Diagnostic Accuracy and Performance of Artificial Intelligence in Detecting Lung Nodules in Patients With Complex Lung Disease: A Noninferiority Study. J Thorac Imaging. 2022 May 01; 37(3):154-161.
    View in: PubMed
    Score: 0.207
  7. The diagnostic value of non-contrast magnetic resonance coronary angiography in the assessment of coronary artery disease: A systematic review and meta-analysis. Heliyon. 2021 Mar; 7(3):e06386.
    View in: PubMed
    Score: 0.202
  8. 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: 0.201
  9. Automatic coronary calcium scoring in chest CT using a deep neural network in direct comparison with non-contrast cardiac CT: A validation study. Eur J Radiol. 2021 Jan; 134:109428.
    View in: PubMed
    Score: 0.197
  10. Machine Learning and Coronary Artery Calcium Scoring. Curr Cardiol Rep. 2020 07 09; 22(9):90.
    View in: PubMed
    Score: 0.192
  11. Feasibility of Coronary CT Angiography-derived Left Ventricular Long-Axis Shortening as an Early Marker of Ventricular Dysfunction in Transcatheter Aortic Valve Replacement. Radiol Cardiothorac Imaging. 2022 Jun; 4(3):e210205.
    View in: PubMed
    Score: 0.055
  12. Impact of Artificial Intelligence Assistance on Chest CT Interpretation Times: A Prospective Randomized Study. AJR Am J Roentgenol. 2022 Nov; 219(5):743-751.
    View in: PubMed
    Score: 0.055
  13. CT in Transcatheter-delivered Treatment of Valvular Heart Disease. Radiology. 2022 07; 304(1):4-17.
    View in: PubMed
    Score: 0.055
  14. Automated Dual-energy Computed Tomography-based Extracellular Volume Estimation for Myocardial Characterization in Patients With Ischemic and Nonischemic Cardiomyopathy. J Thorac Imaging. 2022 Sep 01; 37(5):307-314.
    View in: PubMed
    Score: 0.054
  15. An Interpretable Chest CT Deep Learning Algorithm for Quantification of COVID-19 Lung Disease and Prediction of Inpatient Morbidity and Mortality. Acad Radiol. 2022 08; 29(8):1178-1188.
    View in: PubMed
    Score: 0.054
  16. Computed tomographic assessment of right ventricular long axis strain for prognosis after transcatheter aortic valve replacement. Eur J Radiol. 2022 Apr; 149:110212.
    View in: PubMed
    Score: 0.054
  17. Utility of Functional and Volumetric Left Atrial Parameters Derived From Preprocedural Cardiac CTA in Predicting Mortality After Transcatheter Aortic Valve Replacement. AJR Am J Roentgenol. 2022 03; 218(3):444-452.
    View in: PubMed
    Score: 0.052
  18. Performance of an Artificial Intelligence-Based Platform Against Clinical Radiology Reports for the Evaluation of Noncontrast Chest CT. Acad Radiol. 2022 02; 29 Suppl 2:S108-S117.
    View in: PubMed
    Score: 0.050
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.