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Connection

Gopal Vijayaraghavan to Early Detection of Cancer

This is a "connection" page, showing publications Gopal Vijayaraghavan has written about Early Detection of Cancer.
  1. Vijayaraghavan GR. A Case Study Identifying Barriers to Breast Cancer Screening and Strategies for Improved Access and Participation in an Underserved Community. Acad Radiol. 2024 07; 31(7):2651-2653.
    View in: PubMed
    Score: 0.741
  2. Vijayaraghavan GR, Vedantham S, Kataoka M, DeBenedectis C, Quinlan RM. The Relevance of Ultrasound Imaging of Suspicious Axillary Lymph Nodes and Fine-needle Aspiration Biopsy in the Post-ACOSOG Z11 Era in Early Breast Cancer. Acad Radiol. 2017 03; 24(3):308-315.
    View in: PubMed
    Score: 0.442
  3. Vijayargahavan GR, Watkins J, Tyminski M, Venkataraman S, Amornsiripanitch N, Newburg A, Ghosh E, Vedantham S. Audit of Prior Screening Mammograms of Screen-Detected Cancers: Implications for the Delay in Breast Cancer Detection. Semin Ultrasound CT MR. 2023 Feb; 44(1):62-69.
    View in: PubMed
    Score: 0.168
  4. Vedantham S, Shazeeb MS, Chiang A, Vijayaraghavan GR. Artificial Intelligence in Breast X-Ray Imaging. Semin Ultrasound CT MR. 2023 Feb; 44(1):2-7.
    View in: PubMed
    Score: 0.168
  5. Vijayaraghavan GR, Guembou IM, Vedantham S. The Current State of Timeliness in the Breast Cancer Diagnosis Journey: Abnormal Screening to Biopsy. Semin Ultrasound CT MR. 2023 Feb; 44(1):56-61.
    View in: PubMed
    Score: 0.167
  6. Lotter W, Diab AR, Haslam B, Kim JG, Grisot G, Wu E, Wu K, Onieva JO, Boyer Y, Boxerman JL, Wang M, Bandler M, Vijayaraghavan GR, Gregory Sorensen A. Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach. Nat Med. 2021 02; 27(2):244-249.
    View in: PubMed
    Score: 0.147
  7. Vedantham S, Karellas A, Vijayaraghavan GR, Kopans DB. Digital Breast Tomosynthesis: State of the Art. Radiology. 2015 Dec; 277(3):663-84.
    View in: PubMed
    Score: 0.026
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.