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Matthias Reumann

Showing results (31-40 of 34) with videos related to

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Science Translational Medicine|April 1, 2011
Use of mutant-specific ion channel characteristics for risk stratification of long QT syndrome patientsChristian Jons, Jin O-Uchi, Arthur J Moss, et al.
Journal of the American College of Cardiology|November 17, 2012
In silico cardiac risk assessment in patients with long QT syndrome: type 1: clinical predictability of cardiac modelsRyan Hoefen, Matthias Reumann, Ilan Goldenberg, et al.
Computer Methods in Biomechanics and Biomedical Engineering|June 6, 2013
Towards real-time simulation of cardiac electrophysiology in a human heart at high resolutionDavid F Richards, James N Glosli, Erik W Draeger, et al.
Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|August 20, 2016
Use of a Novel Nonparametric Version of DEPTH to Identify Genomic Regions Associated with Prostate Cancer RiskRobert J MacInnis, Daniel F Schmidt, Enes Makalic, et al.
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Showing results (31-40 of 34) with videos related to

Sort By:
Pageof 4
You have reached the last page of results.This site can display upto 34 results.
Science Translational Medicine|April 1, 2011
Use of mutant-specific ion channel characteristics for risk stratification of long QT syndrome patientsChristian Jons, Jin O-Uchi, Arthur J Moss, et al.
Journal of the American College of Cardiology|November 17, 2012
In silico cardiac risk assessment in patients with long QT syndrome: type 1: clinical predictability of cardiac modelsRyan Hoefen, Matthias Reumann, Ilan Goldenberg, et al.
Computer Methods in Biomechanics and Biomedical Engineering|June 6, 2013
Towards real-time simulation of cardiac electrophysiology in a human heart at high resolutionDavid F Richards, James N Glosli, Erik W Draeger, et al.
Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|August 20, 2016
Use of a Novel Nonparametric Version of DEPTH to Identify Genomic Regions Associated with Prostate Cancer RiskRobert J MacInnis, Daniel F Schmidt, Enes Makalic, et al.
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