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Connection

Robert Shenkar to Machine Learning

This is a "connection" page, showing publications Robert Shenkar has written about Machine Learning.
Connection Strength

0.277
  1. Identifying features of prior hemorrhage in cerebral cavernous malformations on quantitative susceptibility maps: a machine learning pilot study. J Neurosurg. 2025 Dec 01; 143(6):1567-1574.
    View in: PubMed
    Score: 0.180
  2. Perfusion and permeability as diagnostic biomarkers of cavernous angioma with symptomatic hemorrhage. J Cereb Blood Flow Metab. 2021 11; 41(11):2944-2956.
    View in: PubMed
    Score: 0.034
  3. A Roadmap for Developing Plasma Diagnostic and Prognostic Biomarkers of Cerebral Cavernous Angioma With Symptomatic Hemorrhage (CASH). Neurosurgery. 2021 02 16; 88(3):686-697.
    View in: PubMed
    Score: 0.033
  4. Biomarkers of cavernous angioma with symptomatic hemorrhage. JCI Insight. 2019 06 20; 4(12).
    View in: PubMed
    Score: 0.030
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.