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Most recent publications

J. T. Koivumäki, J. Hoffman, M. Maleckar, G. T. Einevoll and J. Sundnes

Computational cardiac physiology for new modelers: origins, foundations, and future

Acta Physiologica 236 (2022): e13865.
Journal Article
2022
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R. M. Donovan-Maiye, J. M. Brown, C. K. Chan, L. Ding, C. Yan, N. Gaudreault, J. A. Theriot, M. Maleckar, T. A. Knijnenburg and G. R. Johnson

A deep generative model of 3D single-cell organization

PLOS Computational Biology 18 (2022): e1009155.
Journal Article
2022
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J. L. Isaksen, M. Baumert, A. N. L. Hermans, M. Maleckar and D. Linz

Artificial intelligence for the detection, prediction, and management of atrial fibrillation

Herzschrittmachertherapie+ Elektrophysiologie 33, no. 1 (2022): 34-41.
Journal Article
2022
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M. Maleckar, L. Myklebust, J. J. Uv, P. M. Florvaag, V. Strøm, C. Glinge, R. Jabbari, N. Vejlstrup, T. Engstrøm, K. Ahtarovski et al.

Combined In-silico and Machine Learning Approaches Toward Predicting Arrhythmic Risk in Post-infarction Patients

Frontiers in physiology 12 (2021): 745349.
Journal Article
2021
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24 June 2020

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2022

Journal articles

R. M. Donovan-Maiye, J. M. Brown, C. K. Chan, L. Ding, C. Yan, N. Gaudreault, J. A. Theriot, M. Maleckar, T. A. Knijnenburg and G. R. Johnson

A deep generative model of 3D single-cell organization

PLOS Computational Biology 18 (2022): e1009155.
Status: Published
J. L. Isaksen, M. Baumert, A. N. L. Hermans, M. Maleckar and D. Linz

Artificial intelligence for the detection, prediction, and management of atrial fibrillation

Herzschrittmachertherapie+ Elektrophysiologie 33, no. 1 (2022): 34-41.
Status: Published
J. T. Koivumäki, J. Hoffman, M. Maleckar, G. T. Einevoll and J. Sundnes

Computational cardiac physiology for new modelers: origins, foundations, and future

Acta Physiologica 236 (2022): e13865.
Status: Published
2021

Journal articles

S. Fischer-Holzhausen, K. Yamamoto, M. P. Fjelstad and M. Maleckar

Probing the putative role of KATP channels and biological variability in a mathematical model of chondrocyte electrophysiology

Bioelectricity 3, no. 4 (2021): 272-281.
Status: Published
S. Hicks, J. L. Isaksen, V. Thambawita, J. Ghouse, G. Ahlberg, A. Linneberg, N. Grarup, I. Strümke, C. Ellervik, M. S. Olesen et al.

Explaining deep neural networks for knowledge discovery in electrocardiogram analysis

Scientific Reports 11 (2021): 10949.
Status: Published
M. Maleckar, L. Myklebust, J. J. Uv, P. M. Florvaag, V. Strøm, C. Glinge, R. Jabbari, N. Vejlstrup, T. Engstrøm, K. Ahtarovski et al.

Combined In-silico and Machine Learning Approaches Toward Predicting Arrhythmic Risk in Post-infarction Patients

Frontiers in physiology 12 (2021): 745349.
Status: Published
A. Mobasheri and M. Maleckar

The bioelectricity of connective tissue cells and their environments: bridging the gap

Bioelectricity 3 (2021): 241-242.
Status: Published
V. Thambawita, J. L. Isaksen, S. Hicks, J. Ghouse, G. Ahlberg, A. Linneberg, N. Grarup, C. Ellervik, M. S. Olesen, T. Hansen et al.

DeepFake electrocardiograms: the key for open science for artificial intelligence in medicine

Scientific Reports (2021).
Status: Accepted
V. Thambawita, J. L. Isaksen, S. Hicks, J. Ghouse, G. Ahlberg, A. Linneberg, N. Grarup, C. Ellervik, M. S. Olesen, T. Hansen et al.

DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine

Nature Scientific Reports 11 (2021): 21896.
Status: Published
2020

Journal articles

K. H. Jæger, V. Charwat, B. Charrez, H. Finsberg, M. Maleckar, S. Wall, K. E. Healy and A. Tveito

Improved computational identification of drug response using optical measurements of human stem cell derived cardiomyocytes in microphysiological systems

Frontiers in Pharmacology 10 (2020).
Status: Published