Connection

Ethan Kung to Models, Cardiovascular

This is a "connection" page, showing publications Ethan Kung has written about Models, Cardiovascular.
Connection Strength

3.182
  1. Risks and Benefits of Using a Commercially Available Ventricular Assist Device for Failing Fontan Cavopulmonary Support: A Modeling Investigation. IEEE Trans Biomed Eng. 2020 01; 67(1):213-219.
    View in: PubMed
    Score: 0.597
  2. Computational modeling of pathophysiologic responses to exercise in Fontan patients. Ann Biomed Eng. 2015 Jun; 43(6):1335-47.
    View in: PubMed
    Score: 0.436
  3. Predictive modeling of the virtual Hemi-Fontan operation for second stage single ventricle palliation: two patient-specific cases. J Biomech. 2013 Jan 18; 46(2):423-9.
    View in: PubMed
    Score: 0.383
  4. In vitro validation of finite element analysis of blood flow in deformable models. Ann Biomed Eng. 2011 Jul; 39(7):1947-60.
    View in: PubMed
    Score: 0.341
  5. Corrections to "Risks and Benefits of Using a Commercially Available Ventricular Assist Device for Failing Fontan Cavopulmonary Support: A Modeling Investigation". IEEE Trans Biomed Eng. 2022 11; 69(11):3559.
    View in: PubMed
    Score: 0.191
  6. Hemodynamic Response to Device Titration in the Shunted Single Ventricle Circulation: A Patient Cohort Modeling Study. ASAIO J. 2022 02 01; 68(2):268-274.
    View in: PubMed
    Score: 0.181
  7. Predictive Models for Pulmonary Artery Size in Fontan Patients. J Cardiovasc Transl Res. 2021 08; 14(4):782-789.
    View in: PubMed
    Score: 0.160
  8. Target Flow-Pressure Operating Range for Designing a Failing Fontan Cavopulmonary Support Device. IEEE Trans Biomed Eng. 2020 10; 67(10):2925-2933.
    View in: PubMed
    Score: 0.158
  9. An algorithm for coupling multibranch in vitro experiment to numerical physiology simulation for a hybrid cardiovascular model. Int J Numer Method Biomed Eng. 2020 03; 36(3):e3289.
    View in: PubMed
    Score: 0.156
  10. An interactive simulation tool for patient-specific clinical decision support in single-ventricle physiology. J Thorac Cardiovasc Surg. 2018 02; 155(2):712-721.
    View in: PubMed
    Score: 0.134
  11. Hemodynamic effects of left pulmonary artery stenosis after superior cavopulmonary connection: a patient-specific multiscale modeling study. J Thorac Cardiovasc Surg. 2015 Mar; 149(3):689-96.e1-3.
    View in: PubMed
    Score: 0.111
  12. Integration of clinical data collected at different times for virtual surgery in single ventricle patients: a case study. Ann Biomed Eng. 2015 Jun; 43(6):1310-20.
    View in: PubMed
    Score: 0.110
  13. Moving domain computational fluid dynamics to interface with an embryonic model of cardiac morphogenesis. PLoS One. 2013; 8(8):e72924.
    View in: PubMed
    Score: 0.101
  14. An integrated approach to patient-specific predictive modeling for single ventricle heart palliation. Comput Methods Biomech Biomed Engin. 2014; 17(14):1572-89.
    View in: PubMed
    Score: 0.097
  15. Thrombotic risk stratification using computational modeling in patients with coronary artery aneurysms following Kawasaki disease. Biomech Model Mechanobiol. 2014 Nov; 13(6):1261-76.
    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.