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M. Marciniak, H. Arevalo, J. Tfelt-Hansen, K. A. Ahtarovski, T. Jespersen, R. Jabbari, C. Glinge, N. Vejlstrup, T. Engstrom, M. Maleckar et al.

A multiple kernel learning framework to investigate the relationship between ventricular fibrillation and first myocardial infarction

In Functional Imaging and Modelling of the Heart. Springer, 2017.
Proceedings, refereed
2017
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M. Marciniak, H. Arevalo, J. Tfelt-Hansen, T. Jespersen, R. Jabbari, C. Glinge, K. A. Ahtarovski, N. Vejlstrup, M. Maleckar and K. S. Mcleod

From MR image to patient-specific simulation and population-based analysis:Tutorial for an openly available image-processing pipeline

In MICCAI Workshop on Statistical Atlases and Cardiac Models of the Heart. Berlin: Springer, 2016.
Proceedings, refereed
2016
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S. Kallhovd, S. U. Gjerald, S. Wall, J. Saberniak, K. Haugaa and M. Maleckar

Localization and not extent of fibrofatty infiltratio is the primary factor determining conduction disturbance in a computational model of arrhythmogenic cardiomyopathy

In 2015 E-Health and Bioengineering Conference (EHB). ACM IEEE, 2015.
Proceedings, refereed
2015
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S. Kallhovd, S. U. Gjerald, O. Maennel, J. Saberniak, K. Haugaa and M. Maleckar

Localization and not extent of fibrofatty infiltration is the primary factor determining conduction disturbance in a computational model of arrhythmogenic cardiomyopathy

In E-Health and Bioengineering Conference (EHB). IEEE, 2015.
Proceedings, refereed
2015
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Export 8 results:
2017

Proceedings, refereed

M. Marciniak, H. Arevalo, J. Tfelt-Hansen, K. A. Ahtarovski, T. Jespersen, R. Jabbari, C. Glinge, N. Vejlstrup, T. Engstrom, M. Maleckar et al.

A multiple kernel learning framework to investigate the relationship between ventricular fibrillation and first myocardial infarction

In Functional Imaging and Modelling of the Heart. Springer, 2017.
Status: Published
2016

Proceedings, refereed

M. Marciniak, H. Arevalo, J. Tfelt-Hansen, T. Jespersen, R. Jabbari, C. Glinge, K. A. Ahtarovski, N. Vejlstrup, M. Maleckar and K. S. Mcleod

From MR image to patient-specific simulation and population-based analysis:Tutorial for an openly available image-processing pipeline

In MICCAI Workshop on Statistical Atlases and Cardiac Models of the Heart. Berlin: Springer, 2016.
Status: Published
2015

Proceedings, refereed

S. Kallhovd, S. U. Gjerald, O. Maennel, J. Saberniak, K. Haugaa and M. Maleckar

Localization and not extent of fibrofatty infiltration is the primary factor determining conduction disturbance in a computational model of arrhythmogenic cardiomyopathy

In E-Health and Bioengineering Conference (EHB). IEEE, 2015.
Status: Published
S. Kallhovd, S. U. Gjerald, S. Wall, J. Saberniak, K. Haugaa and M. Maleckar

Localization and not extent of fibrofatty infiltratio is the primary factor determining conduction disturbance in a computational model of arrhythmogenic cardiomyopathy

In 2015 E-Health and Bioengineering Conference (EHB). ACM IEEE, 2015.
Status: Published

Talks, invited

M. Maleckar

How many ionic models do we need for modelling of the atria?

In Atrial Signals 2015. Karlsruhe, Germany, 2015.
Status: Published
M. Maleckar

Putting the pieces together: towards supplementing sparse clinical data with multi physics simulation

In Foundation Teofilo Rossi di Montelera Forum 2015. Lugano, Switzerland, 2015.
Status: Published
2013

Talks, invited

M. Maleckar

Patient-Specific Modeling: How Good Do We Have to Be?

In TRM Forum 2013, December 1-3 2013, Lugano, Switzerland., 2013.
Status: Published
2012

Proceedings, refereed

J. Koivumäki, G. Seemann and M. Maleckar

Divergent Action Potential Morphology in Human Atrial Cells Vs. Tissue: Underlying Ionic Mechanisms

In Computing in Cardiology. Vol. 39. Alan Murray, 2012.
Status: Published