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From CMR Image to Patient-Specific Simulation and Population-Based Analysis: Tutorial for an Openly Available Image-Processing Pipeline.

, , , , , , , , , , and . STACOM@MICCAI, volume 10124 of Lecture Notes in Computer Science, page 106-117. Springer, (2016)

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From CMR Image to Patient-Specific Simulation and Population-Based Analysis: Tutorial for an Openly Available Image-Processing Pipeline., , , , , , , , , and 1 other author(s). STACOM@MICCAI, volume 10124 of Lecture Notes in Computer Science, page 106-117. Springer, (2016)Image-based estimation of ventricular fiber orientations for patient-specific simulations., , , , and . EMBC, page 1672-1675. IEEE, (2011)Estimation of ventricular fiber orientations in infarcted hearts for patient-specific simulations., , , , , , , , , and . ISBI, page 636-639. (2013)Spatially Adaptive Multi-Scale Optimization for Local Parameter Estimation in Cardiac Electrophysiology., , , , , , and . IEEE Trans. Med. Imaging, 36 (9): 1966-1978 (2017)Quantifying the uncertainty in model parameters using Gaussian process-based Markov chain Monte Carlo in cardiac electrophysiology., , , , , , and . Medical Image Analysis, (2018)Image-Based Estimation of Ventricular Fiber Orientations for Personalized Modeling of Cardiac Electrophysiology., , , , and . IEEE Trans. Med. Imaging, 31 (5): 1051-1060 (2012)Electromechanical Model to Predict Cardiac Resynchronization Therapy., , , , , , , and . EMBC, page 5446-5459. IEEE, (2018)Optimal contrast-enhanced MRI image thresholding for accurate prediction of ventricular tachycardia using ex-vivo high resolution models., , , and . Comp. in Bio. and Med., (2018)A Multiple Kernel Learning Framework to Investigate the Relationship Between Ventricular Fibrillation and First Myocardial Infarction., , , , , , , , , and 1 other author(s). FIMH, volume 10263 of Lecture Notes in Computer Science, page 161-171. Springer, (2017)Myocardial Infarct Segmentation From Magnetic Resonance Images for Personalized Modeling of Cardiac Electrophysiology., , , , , , , , and . IEEE Trans. Med. Imaging, 35 (6): 1408-1419 (2016)