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Connection

Keigo Kawaji to Aged

This is a "connection" page, showing publications Keigo Kawaji has written about Aged.
Connection Strength

0.114
  1. Automated segmentation of routine clinical cardiac magnetic resonance imaging for assessment of left ventricular diastolic dysfunction. Circ Cardiovasc Imaging. 2009 Nov; 2(6):476-84.
    View in: PubMed
    Score: 0.027
  2. Impact of wideband cardiac magnetic resonance on diagnosis, decision-making and outcomes in patients with implantable cardioverter defibrillators. Eur Heart J Cardiovasc Imaging. 2023 01 23; 24(2):181-189.
    View in: PubMed
    Score: 0.017
  3. Relation of Myocardial Perfusion Reserve and Left Ventricular Ejection Fraction in Ischemic and Nonischemic Cardiomyopathy. Am J Cardiol. 2022 07 01; 174:143-150.
    View in: PubMed
    Score: 0.016
  4. Strain-encoded cardiac magnetic resonance imaging: a new approach for fast estimation of left ventricular function. BMC Cardiovasc Disord. 2019 03 05; 19(1):52.
    View in: PubMed
    Score: 0.013
  5. Reproducibility study on myocardial strain assessment using fast-SENC cardiac magnetic resonance imaging. Sci Rep. 2018 09 20; 8(1):14100.
    View in: PubMed
    Score: 0.012
  6. Role of Perfusion at Rest in the Diagnosis of Myocardial Infarction Using Vasodilator Stress Cardiovascular Magnetic Resonance. Am J Cardiol. 2016 Apr 01; 117(7):1072-7.
    View in: PubMed
    Score: 0.010
  7. Electrocardiographic Pad for Efficient Cardiac MR Gating. Radiology. 2016 Feb; 278(2):578-84.
    View in: PubMed
    Score: 0.010
  8. Impact of diastolic dysfunction severity on global left ventricular volumetric filling - assessment by automated segmentation of routine cine cardiovascular magnetic resonance. J Cardiovasc Magn Reson. 2010 Jul 31; 12:46.
    View in: PubMed
    Score: 0.007
  9. [C5 contents and neutrophil chemotactic activities in bronchiolar and alveolar regions]. Nihon Kyobu Shikkan Gakkai Zasshi. 1991 Jun; 29(6):677-84.
    View in: PubMed
    Score: 0.002
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.