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Search results for biblio_type:Talks, contributed
Filters: Author is Vejlstrup, Niels [Reset Search]
Filters: Author is Vejlstrup, Niels [Reset Search]
"Combined In-silico and Machine Learning Approaches Toward Predicting Arrhythmic Risk in Post-infarction Patients." Frontiers in physiology 12 (2021): 745349.
From CMR Image to Patient-Specific Simulation and Population-Based Analysis: Tutorial for an Openly Available Image-Processing Pipeline In Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges: 7th International Workshop, STACOM 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers. Vol. 10124. {Springer, 2017.
A multiple kernel learning framework to investigate the relationship between ventricular fibrillation and first myocardial infarction In International Conference on Functional Imaging and Modeling of the Heart. {Springer, Cham, 2017.
A Multiple Kernel Learning Framework to Investigate the Relationship Between Ventricular Fibrillation and First Myocardial Infarction In Functional Imaging and Modelling of the Heart: 9th International Conference, FIMH 2017, Toronto, ON, Canada, June 11-13, 2017, Proceedings. Vol. 10263. {Springer, 2017.
From CMR image to patient-specific simulation and population-based analysis: tutorial for an openly available image-processing pipeline In International Workshop on Statistical Atlases and Computational Models of the Heart, Edited by . {Springer, Cham, 2016.