Flavio Fenton

Islam, M. A., Cleaveland, R., Fenton, F. H., Grosu, R., Jones, P. L., & Smolka, S. A. (2018). Probabilistic reachability for multi-parameter bifurcation analysis of cardiac alternans. Theoretical Computer Science. https://doi.org/https://doi.org/10.1016/j.tcs.2018.02.005 (Original work published 2018)

Munoz, L., Gelzer, A. R. M., Fenton, F. H., Qian, W., Lin, W., Gilmour, R. F., & Otani, N. F. (2018). Discordant Alternans as a Mechanism for Initiation of Ventricular Fibrillation In Vitro. Journal of the American Heart Association, 7. https://doi.org/10.1161/JAHA.117.007898 (Original work published)

Christoph, J., Chebbok, M., Richter, C., Schröder-Schetelig, J., Bittihn, P., Stein, S., … Luther, S. (2018). Electromechanical vortex filaments during cardiac fibrillation. Nature, 555, 667+. https://doi.org/https://doi.org/10.1038/nature26001

Chen, D. D., Gray, R. A., Uzelac, I., Herndon, C., & Fenton, F. H. (2017). Mechanism for amplitude alternans in electrocardiograms and the initiation of spatiotemporal chaos. Physical Review Letters, 118, 168101.

Cairns, D. I., Fenton, F. H., & Cherry, E. M. (2017). Efficient parameterization of cardiac action potential models using a genetic algorithm. Chaos: An Interdisciplinary Journal of Nonlinear Science, 27, 093922. https://doi.org/10.1063/1.5000354

Islam, M. A., Byrne, G., Kong, S., Clarke, E. M., Cleaveland, R., Fenton, F. H., … Paoletti, N. (2016). Bifurcation Analysis of Cardiac Alternans Using δ -Decidability. CMSB. Presented at the. Springer. Retrieved from http://dblp.uni-trier.de/db/conf/cmsb/cmsb2016.html#IslamBKCCFGJS16