PDF -icon
PDF

Related publications

Primary

  1. Vascotto S, Missan S, La C
    CESE Plus: a computational approach for accelerating electrophysiology research.
    Laboratory Focus, 13(4):8-11, 2009.
  2. Missan S, McDonald TF
    CESE: Cell Electrophysiology Simulation Environment.
    Appl Bioinformatics, 4(2):155-6, 2005.

Our products are mentioned in:

  1. Workman AJ
    Cardiac adrenergic control and atrial fibrillation.
    Naunyn Schmiedebergs Arch Pharmacol., Dec 4, 2009.
  2. Garny A, Nickerson DP, Cooper J, Weber dos Santos R, Miller AK, McKeever S, Nielsen PM, Hunter PJ
    CellML and associated tools and techniques.
    Philos Transact A Math Phys Eng Sci 13;366(1878):3017-43, 2008.
  3. Hurmusiadis V
    Virtual Heart: Simulation-Based Cardiac Physiology for Education.
    Computers in Cardiology, 34:65-68, 2007.
  4. Moukabary T, Haines DE
    Relationship between the Potassium Currents Block and the Occurrence of Early after Depolarizations in the Setting of Sodium Current Blockade.
    Computers in Cardiology, 34:361-362, 2007.
  5. Petsios SKD, Fotiadis DI
    A Computational Framework for the Analysis of Biological Models.
    Engineering in Medicine and Biology Society, 1101-1104, 2007.
  6. Sun Z, Finkelstein A, and Ashmore J
    Using Ontology with Semantic Web Services to Support Modeling in Systems Biology.
    in Web Information Systems Engineering - WISE 2007 Workshops, ISSN 0302-9743 (Print) 1611-3349 (Online), Volume 4832/2007, 2007.
  7. Wilders R
    Computer modelling of the sinoatrial node.
    Med Biol Eng Comput, 45(2):189-207, 2007.
  8. Cooper J, McKeever S, and Garny A
    On the application of partial evaluation to the optimisation of cardiac electrophysiological simulations.
    Proceedings of the 2006 ACM SIGPLAN symposium on Partial evaluation and semantics-based program manipulation, 2006.
  9. Hunter PJ
    Modeling Human Physiology: The IUPS/EMBS Physiome Project.
    Proceedings of the IEEE, 94(4):678-691, 2006.
  10. Nickerson D, Hunter P
    The Noble cardiac ventricular electrophysiology models in CellML.
    Prog Biophys Mol Biol, 90(1-3):346-59, 2006.
  11. Nickerson D, Nash M, Nielsen P, Smith N, and Hunter P
    Computational multiscale modeling in the IUPS Physiome Project: Modeling cardiac electromechanics.
    IBM Research: Functional Genomics and Systems Biology, 50(6):617, 2006.
  12. Sarai N, Matsuoka S, and Noma A
    simBio: a Java package for the development of detailed cell models.
    Prog Biophys Mol Biol, 90(1-3):360-77, 2006.
  13. Shimayoshi T, Komurasaki K, Amano A, Iwashita T, Matsuda T, and Kanazawa M
    A Method to Support Cell Physiological Modelling Using Description Language and Ontology.
    IPSJ Digital Courier, 2:726-735, 2006.
  14. Takao S, Kazuhiro K, Akira A, Takeshi I, Masanori K, Tetsuya M
    Computer support for physiological cell modelling using an ontology on cell physiology.
    Conf Proc IEEE Eng Med Biol Soc., 1:4171-4, 2006.
  15. Zaniboni M, Cacciani F, and Groppi M
    Effect of input resistance voltage dependency on DC estimate of membrane capacitance in cardiac myocytes.
    Biophys J., 89(3):2170-81, 2005.