Connection

Co-Authors

This is a "connection" page, showing publications co-authored by CHRISTIE BALLANTYNE and GERD BRUNNER.
Connection Strength

2.522
  1. A machine learning-based approach to identify peripheral artery disease using texture features from contrast-enhanced magnetic resonance imaging. Magn Reson Imaging. 2024 Feb; 106:31-42.
    View in: PubMed
    Score: 0.244
  2. Longitudinal Magnetic Resonance Imaging-Based Superficial Femoral Artery Velocity Measurements in Diabetic and Nondiabetic Patients With Peripheral Artery Disease. Top Magn Reson Imaging. 2023 Dec 01; 32(6):57-65.
    View in: PubMed
    Score: 0.243
  3. Magnetic Resonance Imaging-Derived Microvascular Perfusion Modeling to Assess Peripheral Artery Disease. J Am Heart Assoc. 2023 02 07; 12(3):e027649.
    View in: PubMed
    Score: 0.229
  4. Comparison of Longitudinal Skeletal Thigh Muscle Findings With Magnetic Resonance Imaging in Patients With Peripheral Artery Disease With-Versus-Without Diabetes Mellitus. Am J Cardiol. 2022 10 15; 181:130-138.
    View in: PubMed
    Score: 0.223
  5. Magnetic resonance imaging based superficial femoral artery velocity measurements in peripheral artery disease. Magn Reson Imaging. 2022 11; 93:128-134.
    View in: PubMed
    Score: 0.222
  6. Associations Between Carotid Artery Plaque Burden, Plaque Characteristics, and Cardiovascular Events: The ARIC Carotid Magnetic Resonance Imaging Study. JAMA Cardiol. 2021 01 01; 6(1):79-86.
    View in: PubMed
    Score: 0.199
  7. Relation of Magnetic Resonance Imaging Based Arterial Signal Enhancement to Markers of Peripheral Artery Disease. Am J Cardiol. 2021 02 01; 140:140-147.
    View in: PubMed
    Score: 0.197
  8. Magnetic Resonance Venous Volume Measurements in Peripheral Artery Disease (from ELIMIT). Am J Cardiol. 2016 Nov 01; 118(9):1399-1404.
    View in: PubMed
    Score: 0.147
  9. Calf muscle perfusion as measured with magnetic resonance imaging to assess peripheral arterial disease. Med Biol Eng Comput. 2016 Nov; 54(11):1667-1681.
    View in: PubMed
    Score: 0.142
  10. Distribution of calcification in carotid endarterectomy tissues: comparison of micro-computed tomography imaging with histology. Vasc Med. 2014 Oct; 19(5):343-50.
    View in: PubMed
    Score: 0.128
  11. The Effect of Lipid Modification on Peripheral Artery Disease after Endovascular Intervention Trial (ELIMIT). Atherosclerosis. 2013 Dec; 231(2):371-7.
    View in: PubMed
    Score: 0.121
  12. Ultrasound in cardiovascular risk prediction: don't forget the plaque! J Am Heart Assoc. 2013 Apr 18; 2(2):e000180.
    View in: PubMed
    Score: 0.117
  13. Automatic quantification of muscle volumes in magnetic resonance imaging scans of the lower extremities. Magn Reson Imaging. 2011 Oct; 29(8):1065-75.
    View in: PubMed
    Score: 0.104
  14. Myocardial Extracellular Volume Fraction Adds Prognostic Information Beyond Myocardial Replacement Fibrosis. Circ Cardiovasc Imaging. 2019 12; 12(12):e009535.
    View in: PubMed
    Score: 0.046
  15. Patient-Specific Flow Descriptors and Normalized wall index in Peripheral Artery Disease: a Preliminary Study. Comput Methods Biomech Biomed Eng Imaging Vis. 2018; 6(2):119-127.
    View in: PubMed
    Score: 0.037
  16. Plaque Volume of Carotid Endarterectomy Specimens Measured by 3D Ultrasound Technology. JACC Cardiovasc Imaging. 2016 09; 9(9):1118-1119.
    View in: PubMed
    Score: 0.035
  17. Postprandial effects on arterial stiffness parameters in healthy young adults. Vasc Med. 2015 Dec; 20(6):501-8.
    View in: PubMed
    Score: 0.034
  18. Application of speckle-tracking in the evaluation of carotid artery function in subjects with hypertension and diabetes. J Am Soc Echocardiogr. 2013 Aug; 26(8):901-909.e1.
    View in: PubMed
    Score: 0.029
  19. Segmental analysis of carotid arterial strain using speckle-tracking. J Am Soc Echocardiogr. 2011 Nov; 24(11):1276-1284.e5.
    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.