Items where authors include "Lange, M"

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Number of items: 8.

Article

Brown, P, Tan, A-C, El-Esawi, MA et al. (1578 more authors) (2019) Large expert-curated database for benchmarking document similarity detection in biomedical literature search. Database - The Journal of Biological Databases and Curation.

Guo, L, Vardakis, JC, Lassila, T et al. (11 more authors) (2018) Subject-specific multi-poroelastic model for exploring the risk factors associated with the early stages of Alzheimer's disease. Interface Focus, 8 (1). ARTN 20170019. ISSN 2042-8898

Lange, M, Palamara, S, Lassila, T orcid.org/0000-0001-8947-1447 et al. (3 more authors) (2017) Improved hybrid/GPU algorithm for solving cardiac electrophysiology problems on Purkinje networks. International Journal for Numerical Methods in Biomedical Engineering, 33 (6). e2835. ISSN 2040-7939

Vergara, C, Lange, M, Palamara, S et al. (3 more authors) (2016) A coupled 3D–1D numerical monodomain solver for cardiac electrical activation in the myocardium with detailed Purkinje network. Journal of Computational Physics, 308. pp. 218-238. ISSN 0021-9991

Lange, M, Di Marco, LY, Lekadir, K et al. (2 more authors) (2016) Protective Role of False Tendon in Subjects with Left Bundle Branch Block: A Virtual Population Study. PLOS ONE, 11 (1). ARTN e0146477. e0146477-e0146477. ISSN 1932-6203

Proceedings Paper

Lange, M, Lassila, T orcid.org/0000-0001-8947-1447 and Frangi, AF (2019) Predicting Plausible Human Purkinje Network Morphology from Simulations. In: Proceedings of the 2019 International Conference in Computing in Cardiology (CinC 2019). CinC 2019, 08-11 Sep 2019, Singapore. IEEE . ISBN 9781728169361

Lassila, T orcid.org/0000-0001-8947-1447, Lange, M, Porras Perez, AR et al. (4 more authors) (2016) Electrophysiology model for a human heart with ischemic scar and realistic Purkinje network. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). STACOM 2015, 09 Oct 2015, Munich, Germany. Springer Verlag , pp. 90-97. ISBN 9783319287119

Lange, M, Palamara, S, Lassila, T orcid.org/0000-0001-8947-1447 et al. (3 more authors) (2015) Efficient Numerical Schemes for Computing Cardiac Electrical Activation over Realistic Purkinje Networks: Method and Verification. In: Lecture Notes in Artificial Intelligence. FIMH 2015: 8th International Conference on Functional Imaging and Modeling of the Heart, 25-27 Jun 2015, Maastricht, The Netherlands. Springer , pp. 430-438. ISBN 978-3-319-20308-9

This list was generated on Sun Mar 24 04:03:31 2024 GMT.