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Christopher M Haggerty

Showing results (11-20 of 91) with videos related to

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Interactive Cardiovascular and Thoracic Surgery|April 9, 2013
Haemodynamic comparison of a novel flow-divider Optiflo geometry and a traditional total cavopulmonary connectionKalpi Desai, Christopher M Haggerty, Kirk R Kanter, et al.
The Annals of Thoracic Surgery|October 4, 2015
Hemodynamic Impact of Superior Vena Cava Placement in the Y-Graft Fontan ConnectionMaria Restrepo, A Colleen Crouch, Christopher M Haggerty, et al.
JACC. Cardiovascular Imaging|February 18, 2014
Geometric characterization of patient-specific total cavopulmonary connections and its relationship to hemodynamicsElaine Tang, Maria Restrepo, Christopher M Haggerty, et al.
The Journal of Thoracic and Cardiovascular Surgery|June 16, 2012
Preliminary clinical experience with a bifurcated Y-graft Fontan procedure--a feasibility studyKirk R Kanter, Christopher M Haggerty, Maria Restrepo, et al.
The Journal of Thoracic and Cardiovascular Surgery|February 17, 2012
Experimental and numeric investigation of Impella pumps as cavopulmonary assistance for a failing FontanChristopher M Haggerty, Francis Fynn-Thompson, Doff B McElhinney, et al.
International Journal for Numerical Methods in Biomedical Engineering|January 25, 2013
Treatment planning for a TCPC test case: a numerical investigation under rigid and moving wall assumptionsLucia Mirabella, Christopher M Haggerty, Tiziano Passerini, et al.
Journal of Biomechanics|December 4, 2012
Numerical and experimental investigation of pulsatile hemodynamics in the total cavopulmonary connectionElaine Tang, Christopher M Haggerty, Reza H Khiabani, et al.
European Heart Journal. Cardiovascular Imaging|March 15, 2018
Predicting deterioration of ventricular function in patients with repaired tetralogy of Fallot using machine learningManar D Samad, Gregory J Wehner, Mohammad R Arbabshirani, et al.
BMC Medical Informatics and Decision Making|May 14, 2021
OASIS +: leveraging machine learning to improve the prognostic accuracy of OASIS severity score for predicting in-hospital mortalityYasser El-Manzalawy, Mostafa Abbas, Ian Hoaglund, et al.
IEEE Journal of Biomedical and Health Informatics|March 3, 2025
A Large-scale Multimodal Study for Predicting Mortality Risk Using Minimal and Low Parameter Models and Separable Risk AssessmentAlvaro Emilio Ulloa Cerna, David P vanMaanen, Linyuan Jing, et al.
Pageof 10

Showing results (11-20 of 91) with videos related to

Sort By:
Pageof 10
Interactive Cardiovascular and Thoracic Surgery|April 9, 2013
Haemodynamic comparison of a novel flow-divider Optiflo geometry and a traditional total cavopulmonary connectionKalpi Desai, Christopher M Haggerty, Kirk R Kanter, et al.
The Annals of Thoracic Surgery|October 4, 2015
Hemodynamic Impact of Superior Vena Cava Placement in the Y-Graft Fontan ConnectionMaria Restrepo, A Colleen Crouch, Christopher M Haggerty, et al.
JACC. Cardiovascular Imaging|February 18, 2014
Geometric characterization of patient-specific total cavopulmonary connections and its relationship to hemodynamicsElaine Tang, Maria Restrepo, Christopher M Haggerty, et al.
The Journal of Thoracic and Cardiovascular Surgery|June 16, 2012
Preliminary clinical experience with a bifurcated Y-graft Fontan procedure--a feasibility studyKirk R Kanter, Christopher M Haggerty, Maria Restrepo, et al.
The Journal of Thoracic and Cardiovascular Surgery|February 17, 2012
Experimental and numeric investigation of Impella pumps as cavopulmonary assistance for a failing FontanChristopher M Haggerty, Francis Fynn-Thompson, Doff B McElhinney, et al.
International Journal for Numerical Methods in Biomedical Engineering|January 25, 2013
Treatment planning for a TCPC test case: a numerical investigation under rigid and moving wall assumptionsLucia Mirabella, Christopher M Haggerty, Tiziano Passerini, et al.
Journal of Biomechanics|December 4, 2012
Numerical and experimental investigation of pulsatile hemodynamics in the total cavopulmonary connectionElaine Tang, Christopher M Haggerty, Reza H Khiabani, et al.
European Heart Journal. Cardiovascular Imaging|March 15, 2018
Predicting deterioration of ventricular function in patients with repaired tetralogy of Fallot using machine learningManar D Samad, Gregory J Wehner, Mohammad R Arbabshirani, et al.
BMC Medical Informatics and Decision Making|May 14, 2021
OASIS +: leveraging machine learning to improve the prognostic accuracy of OASIS severity score for predicting in-hospital mortalityYasser El-Manzalawy, Mostafa Abbas, Ian Hoaglund, et al.
IEEE Journal of Biomedical and Health Informatics|March 3, 2025
A Large-scale Multimodal Study for Predicting Mortality Risk Using Minimal and Low Parameter Models and Separable Risk AssessmentAlvaro Emilio Ulloa Cerna, David P vanMaanen, Linyuan Jing, et al.
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