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Connection

David Ouyang to Algorithms

This is a "connection" page, showing publications David Ouyang has written about Algorithms.
Connection Strength

0.845
  1. Extracting More From Less: A New Frontier for High-Throughput Clinical Phenotyping. Circ Cardiovasc Qual Outcomes. 2022 06; 15(6):e009055.
    View in: PubMed
    Score: 0.409
  2. Machine Learning and Bias in Medical Imaging: Opportunities and Challenges. Circ Cardiovasc Imaging. 2024 02; 17(2):e015495.
    View in: PubMed
    Score: 0.116
  3. Leveraging 3D Echocardiograms to Evaluate AI Model Performance in Predicting Cardiac Function on Out-of-Distribution Data. Pac Symp Biocomput. 2024; 29:39-52.
    View in: PubMed
    Score: 0.115
  4. Revival and Revision of Right Ventricular Assessment by Machine Learning. JACC Cardiovasc Imaging. 2022 05; 15(5):780-782.
    View in: PubMed
    Score: 0.102
  5. PACT-3D, a deep learning algorithm for pneumoperitoneum detection in abdominal CT scans. Nat Commun. 2024 11 07; 15(1):9660.
    View in: PubMed
    Score: 0.030
  6. Deep learning evaluation of biomarkers from echocardiogram videos. EBioMedicine. 2021 Nov; 73:103613.
    View in: PubMed
    Score: 0.025
  7. How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals. Nat Med. 2021 04; 27(4):582-584.
    View in: PubMed
    Score: 0.024
  8. How to evaluate deep learning for cancer diagnostics - factors and recommendations. Biochim Biophys Acta Rev Cancer. 2021 04; 1875(2):188515.
    View in: PubMed
    Score: 0.023
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.