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Seminars calendar

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Event When Speaker Title
FHTW01 5th June 2019
14:30 to 15:00
Samuel Coveney Probabilistic Interpolation of Uncertain Local Activation Times
FHTW01 5th June 2019
15:00 to 15:30
Dirk Husmeier Statistical inference in soft-tissue mechanics and fluid dynamics with an application to prognostication of myocardial infarction and pulmonary hypertension
FHTW01 5th June 2019
16:00 to 16:30
Leif Rune Hellevik Applications of uncertainty quantification and sensitivity analysis for cardiovascular models
FHTW01 5th June 2019
16:30 to 17:00
Simone Pezzuto Enabling high-dimensional uncertainty quantification for cardiac electrophysiology via multifidelity techniques
FHTW01 6th June 2019
09:00 to 10:00
Tony O'Hagan tba
FHTW01 6th June 2019
10:00 to 10:30
Wolfgang Giese Characterizing parameter sensitivity and uncertainty in dyadic structure-function relationships by using a multiscale model of ventricular cardiac myocytes
FHTW01 6th June 2019
10:30 to 11:00
Andrea Manzoni Reduced order modeling for uncertainty quantification in cardiac electrophysiology
FHTW01 6th June 2019
11:30 to 12:00
Boyce Griffith In vitro and in vivo computational models of heart valve dynamics
FHTW01 6th June 2019
12:00 to 12:30
Brian Hong Efficient Quantification of Left Ventricular Function During the Full Cardiac Cycle Using a Characteristic Deformation Model
FHTW01 6th June 2019
13:30 to 14:30
Michael Goldstein tba
FHTW01 6th June 2019
14:30 to 15:00
Richard Wilkinson tba
FHTW01 6th June 2019
15:00 to 15:30
Samuel Wall Uncertainty Quantification in the Parameterization of Cardiac Action Potential Models Through the Singular Value Decomposition
FHTW01 6th June 2019
16:00 to 16:30
Seiryo Sugiura Uncertainty in the prediction of drug-induced arrhythmogenic risk assessed by a multi-dimensional hazard map
FHTW01 6th June 2019
16:30 to 17:00
Francisco Sahli Costabal Classifying drugs by their arrhythmogenic risk using multiscale modeling and machine learning
FHTW01 7th June 2019
09:00 to 09:30
David Christini Embracing uncertainty and variabiilty in the design of cardiac computational models
FHTW01 7th June 2019
09:30 to 10:00
Jichao Zhao Application of Deep Learning on Reducing Uncertainty Quantification in the Atrial Structure from Contrast-enhanced MRIs
FHTW01 7th June 2019
10:00 to 10:30
Pablo Lamata The PIC experience towards the vision of the Virtual Twin
FHTW01 7th June 2019
10:30 to 11:00
Ingelin Steinsland Learning between digital twins
FHTW01 7th June 2019
11:30 to 12:00
Benjamin Meder Systems Cardiology of Heart Failure
FHTW01 7th June 2019
12:00 to 12:30
Daniele Schiavazzi Quantifying uncertainty in cardiovascular digital twins through model reduction, Bayesian inference and propagation of model ensembles
University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons