Publications

In this section you can find all the publications related to DENIS@home. We include three types of publications: Research results from DENIS@home, Research results using DENIS@home software, and Publications about DENIS@home.

Research results from DENIS@home

J. Carro (2019). New Methodologies for the Development and Validation of Electrophysiological Models. PhD Thesis (2019). https://zaguan.unizar.es/record/78866
J. Carro, J.F. Rodríguez-Matas, E. Pueyo (2017). A Methodology to Improve Human Ventricular Models for the Investigation of Cardiac Arrhythmias. Biophysical Journal. DOI: 10.1016/j.bpj.2016.11.2183.

Research results using DENIS@home software

M. Gomez, J. Carro, E. Pueyo, V. Monasterio (2022) An in Silico Investigation into the Role of SK Channels in Failing Ventricular Myocytes. Proceedings of the XLVIII International Conference on Computing in Cardiology. Tampere, Finland DOI: 10.22489/CinC.2022.228.
M. Gomez, J. Carro, V. Monasterio, E. Pueyo (2022). Investigación in silico sobre el papel de los canales SK en miocitos ventriculares de pacientes con insuficiencia cardiaca. Jornada de Jóvenes Investigadores e Investigadoras del I3A (ISSN:2341-4790) Vol. 10 (2022): Actas de la XI Jornada de Jóvenes Investigadores e Investigadoras del I3A - 16 de junio de 2022. https://papiro.unizar.es/ojs/index.php/jji3a/article/view/7021/5804
M. Gómez, J. Carro, E. Pueyo, V. Monasterio (2021) Modificación de un modelo de miocito ventricular humano para representar el papel de los canales SK en insuficiencia cardiaca. XXXIX Congreso de la Sociedad Española de Ingeniería Biomédica CASEIB. Madrid, España. https://seib.org.es/descarga/libro-de-actas-caseib-2021/?wpdmdl=3382

Publications about DENIS@home

V. Monasterio, J. Castro-Mur, J. Carro (2018). DENIS: Solving cardiac electrophysiological simulations with volunteer computing. PLoS ONE 13(10): e0205568. https://doi.org/10.1371/journal.pone.0205568
J. Castro-Mur, V. Monasterio, J. Carro (2016). Volunteer Computing Approach for the Collaborative Simulation of Electrophysiological Models. IEEE 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), Paris, France, 2016, pp. 118-123, doi: 10.1109/WETICE.2016.34.