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Showing results 1-50 of 155
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2022
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1. |
Jæger, Karoline Horgmo; Tveito, Aslak. Deriving the Bidomain Model of Cardiac Electrophysiology From a Cell-Based Model; Properties and Comparisons. Frontiers in Physiology 2022 ;Volume 12. p. - UiO
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2021
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2. |
Jæger, Karoline Horgmo; Charwat, Verena; Wall, Samuel; Healy, Kevin E.; Tveito, Aslak. Identifying drug response by combining measurements of the membrane potential, the cytosolic calcium concentration, and the extracellular potential in microphysiological systems. Frontiers in Pharmacology 2021 ;Volume 11:569489. p. 1-16 UiO
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Jæger, Karoline Horgmo; Hustad, Kristian Gregorius; Cai, Xing; Tveito, Aslak. Efficient numerical solution of the EMI model representing the extracellular space (E), cell membrane (M) and intracellular space (I) of a collection of cardiac cells. Frontiers in Physics 2021 ;Volume 8.(579461) UiO
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Jæger, Karoline Horgmo; Wall, Samuel Thomas; Tveito, Aslak. Computational prediction of drug response in short QT syndrome type 1 based on measurements of compound effect in stem cell-derived cardiomyocytes. PLoS Computational Biology 2021 ;Volume 17.(2) p. - UiO
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2020
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5. |
Jæger, Karoline Horgmo; Hustad, Kristian Gregorius; Cai, Xing; Tveito, Aslak. Operator Splitting and Finite Difference Schemes for Solving the EMI Model. I: Modeling Excitable Tissue -- The EMI Framework. Springer 2020 ISBN 978-3-030-61156-9. p. 44-55 UiO
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Tveito, Aslak; Mardal, Kent-Andre; Rognes, Marie. Modeling Excitable Tissue -- The EMI Framework. Springer 2020 (ISBN 978-3-030-61156-9) ;Volume 7.100 p. Simula SpringerBriefs on Computing(7) UiO
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2019
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7. |
Buccino, Alessio Paolo; Kuchta, Miroslav; Jæger, Karoline Horgmo; Ness, Torbjørn V; Berthet, Pierre; Mardal, Kent-Andre; Cauwenberghs, Gert; Tveito, Aslak. How does the presence of neural probes affect extracellular potentials?. Journal of Neural Engineering 2019 ;Volume 16.(2) p. - NMBU UiO
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8. |
Jæger, Karoline Horgmo; Wall, Samuel Thomas; Tveito, Aslak. Detecting undetectables: Can conductances of action potential models be changed without appreciable change in the transmembrane potential?. Chaos 2019 ;Volume 29.(7) UiO
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2018
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9. |
Tveito, Aslak; Jæger, Karoline Horgmo; Huebsch, Nathaniel; Charrez, Berenice; Edwards, Andrew; Wall, Samuel Thomas; Healy, Kevin. Inversion and computational maturation of drug response using human stem cell derived cardiomyocytes in microphysiological systems. Scientific Reports 2018 ;Volume 8. p. - UiO
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10. |
Tveito, Aslak; Maleckar, Mary Margot Catherine; Lines, Glenn Terje. Computing optimal properties of drugs using mathematical models of single channel dynamics. Computational and Mathematical Biophysics 2018 ;Volume 6.(1) p. 41-64 UiO
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2017
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11. |
Tveito, Aslak; Jæger, Karoline Horgmo; Kuchta, Miroslav; Mardal, Kent-Andre; Rognes, Marie Elisabeth. A cell-based framework for numerical modeling of electrical conduction in cardiac tissue. Frontiers in Physics 2017 ;Volume 5. UiO
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12. |
Tveito, Aslak; Jæger, Karoline Horgmo; Lines, Glenn Terje; Paszkowski, Lukasz; Sundnes, Joakim; Edwards, Andrew; Mäki-Marttunen, Tuomo; Halnes, Geir; Einevoll, Gaute. An evaluation of the accuracy of classical models for computing the membrane potential and extracellular potential for neurons. Frontiers in Computational Neuroscience 2017 ;Volume 11. p. - UiO NMBU
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2016
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13. |
Tveito, Aslak; Lines, Glenn Terje; Edwards, Andrew; McCulloch, Andrew. Computing rates of Markov models of voltage-gated ion channels by inverting partial differential equations governing the probability density functions of the conducting and non-conducting states. Mathematical Biosciences 2016 ;Volume 277. p. 126-135 UiO
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2013
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14. |
Bruaset, Are Magnus; Tveito, Aslak. Conversations About Challenges in Computing. Springer 2013 (ISBN 978-3-319-00209-5) 101 p.
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15. |
Li, Pan; Lines, Glenn Terje; Maleckar, Mary; Tveito, Aslak. Mathematical Models of Cardiac Pacemaking Function. Frontiers in Physics 2013 ;Volume 1.(20) OUS
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2012
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16. |
Tveito, Aslak; Lines, Glenn Terje; Edwards, Andrew G; Maleckar, Mary; Michailova, Anushka; Hake, Johan Elon; McCulloch, Andrew. Slow Calcium-Depolarization-Calcium waves may initiate fast local depolarization waves in ventricular tissue. Progress in Biophysics and Molecular Biology 2012 ;Volume 110.(2-3) p. 295-304 UiO OUS
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17. |
Tveito, Aslak; Lines, Glenn Terje; Hake, Johan Elon; Edwards, Andrew G. Instabilities of the resting state in a mathematical model of calcium handling in cardiac myocytes. Mathematical Biosciences 2012 ;Volume 236.(2) p. 97-107 UiO OUS
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18. |
Tveito, Aslak; Lines, Glenn Terje; Maleckar, Mary. Note on a Possible Proarrhythmic Property of Antiarrhythmic Drugs Aimed at Improving Gap-Junction Coupling. Biophysical Journal 2012 ;Volume 102.(2) p. 231-237 UiO
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19. |
Tveito, Aslak; Lines, Glenn Terje; Rognes, Marie Elisabeth; Maleckar, Mary. AN ANALYSIS OF THE SHOCK STRENGTH NEEDED TO ACHIEVE DEFIBRILLATION IN A SIMPLIFIED MATHEMATICAL MODEL OF CARDIAC TISSUE. International Journal of Numerical Analysis & Modeling 2012 ;Volume 9.(3) p. 644-657 UiO
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2011
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20. |
Hanslien, Monica; Artebrant, Robert; Tveito, Aslak; Lines, Glenn Terje; Cai, Xing. STABILITY OF TWO TIME-INTEGRATORS FOR THE ALIEV-PANFILOV SYSTEM. International Journal of Numerical Analysis & Modeling 2011 ;Volume 8.(3) p. 427-442 UiO
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21. |
Tveito, Aslak; Lines, Glenn Terje; Artebrant, Robert; Skavhaug, Ola; Maleckar, Mary. Existence of excitation waves for a collection of cardiomyocytes electrically coupled to fibroblasts. Mathematical Biosciences 2011 ;Volume 230.(2) p. 79-86 UiO
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22. |
Tveito, Aslak; Lines, Glenn Terje; Li, Pan; McCulloch, Andrew. DEFINING CANDIDATE DRUG CHARACTERISTICS FOR LONG-QT (LQT3) SYNDROME. Mathematical Biosciences and Engineering 2011 ;Volume 8.(3) p. 861-873
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23. |
Tveito, Aslak; Lines, Glenn Terje; Skavhaug, Ola; Maleckar, Mary. Unstable eigenmodes are possible drivers for cardiac arrhythmias. Journal of the Royal Society Interface 2011 ;Volume 8.(61) p. 1212-1216 UiO
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24. |
Tveito, Aslak; Skavhaug, Ola; Lines, Glenn Terje; Artebrant, Robert. Computing the stability of steady-state solutions of mathematical models of the electrical activity in the heart. Computers in Biology and Medicine 2011 ;Volume 41.(8) p. 611-618 UiO
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2010
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25. |
Artebrant, Robert; Tveito, Aslak; Lines, Glenn Terje. A METHOD FOR ANALYZING THE STABILITY OF THE RESTING STATE FOR A MODEL OF PACEMAKER CELLS SURROUNDED BY STABLE CELLS. Mathematical Biosciences and Engineering 2010 ;Volume 7.(3) p. 505-526 UiO
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26. |
Nielsen, Bjørn Fredrik; Lysaker, O.M.; Grøttum, Per; Mardal, Kent-Andre; Tveito, Aslak; Tarrou, Christian; Haugaa, K.; Abildgaard, A.; Fjeld, J.G.. Can ECG recordings and mathematics tell the condition of your heart?. I: Simula Research Laboratory - by thinking constantly about it. Springer 2010 ISBN 978-3-642-01155-9. p. 287-319 UiO
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27. |
Tveito, Aslak; Bruaset, Are Magnus; Lysne, Olav. Simula Research Laboratory - by thinking constantly about it. Springer 2010 (ISBN 978-3-642-01155-9) 656 p. UiO
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28. |
Tveito, Aslak; Langtangen, Hans Petter; Nielsen, Bjørn Fredrik; Cai, Xing. Elements of scientific computing. Springer 2010 (ISBN 9783642112980) 459 p. NMBU
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2009
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29. |
Hanslien, M; Artebrant, R; Sundnes, Joakim; Sundnes, Joakim; Tveito, Aslak; Tveito, Aslak. An unconditionally stable second order method for the Luo-Rudy 1 model used in simulations of defibrillation. International Journal of Numerical Analysis & Modeling 2009 ;Volume 6.(4) p. 627-641 UiO
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30. |
Lines, Glenn Terje; MacLachlan, Mary Catherine; Linge, Svein; Tveito, Aslak. Synchronizing Computer Simulations with Measurement Data for a Case of Atrial Flutter. Annals of Biomedical Engineering 2009 ;Volume 37.(7) p. 1287-1293 UiO USN
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31. |
Lines, GT; MacLachlan, Mary C; Linge, Svein; Tveito, Aslak. Synchronizing Computer Simulations with Measurement Data for a Case of Atrial Flutter. Annals of Biomedical Engineering 2009 ;Volume 37.(7) p. 1287-1293 USN UiO
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32. |
Linge, Geir; Sundnes, Joakim; Sundnes, Joakim; Hanslien, Monica; Lines, Glenn Terje; Tveito, Aslak; Tveito, Aslak. Numerical solution of the bidomain equations. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 2009 ;Volume 367.(1895) p. 1931-1951 UiO
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33. |
Linge, S; Sundnes, Joakim; Hanslien, M; Lines, Glenn Terje; Tveito, Aslak. Numerical solution of the bidomain equations. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 2009 ;Volume 367.(1895) p. 1931-1950 UiO
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34. |
Linge, Svein; Sundnes, J; Hanslien, M; Lines, GT; Tveito, Aslak. Numerical solution of the bidomain equations. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 2009 ;Volume 367.(1895) p. 1931-1950 USN UiO
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35. |
Nielsen, Bjørn Fredrik; Cai, Xing; Sundnes, Joakim; Tveito, Aslak. Towards a computational method for imaging the extracellular potassium concentration during regional ischemia. Mathematical Biosciences 2009 ;Volume 220.(2) p. 118-130 UiO
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36. |
Nielsen, Bjørn Fredrik; Tveito, Aslak; Hackbusch, W. Preconditioning by inverting the Laplacian: an analysis of the eigenvalues. IMA Journal of Numerical Analysis 2009 ;Volume 29.(1) p. 24-42 UiO
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37. |
Sundnes, Joakim; Artebrant, R; Skavhaug, Ola; Tveito, Aslak. A Second-Order Algorithm for Solving Dynamic Cell Membrane Equations. IEEE Transactions on Biomedical Engineering 2009 ;Volume 56.(10) p. 2546-2548 UiO
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2008
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38. |
Linge, Svein; Lines, Glenn Terje; Sundnes, Joakim; Tveito, Aslak. On the frequency of automaticity during ischemia in simulations based on stochastic perturbations of the Luo-Rudy 1 model. Computers in Biology and Medicine 2008 ;Volume 38.(11-12) p. 1218-1227 UiO
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39. |
Nielsen, Bjørn Fredrik; Skavhaug, Ola; Tveito, Aslak. Penalty methods for the numerical solution of American multi-asset option problems. Journal of Computational and Applied Mathematics 2008 ;Volume 222.(1) p. 3-16 UiO
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2007
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40. |
Cai, Xing; Nielsen, Bjørn Fredrik; Tveito, Aslak. A note on the efficiency of the conjugate gradient method for a class of time-dependent problems. Numerical Linear Algebra with Applications 2007 ;Volume 14.(5) p. 459-467 UiO
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41. |
Hanslien, Monica; Sundnes, Joakim; Tveito, Aslak. An unconditionally stable numerical method for the Luo-Rudy 1 model used in simulations of defibrillation. Mathematical Biosciences 2007 p. 375-392 UiO
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42. |
Nielsen, Bjørn Fredrik; Ruud, Tomas Syrstad; Lines, Glenn Terje; Tveito, Aslak. Optimal monodomain approximations of the bidomain equations. Applied Mathematics and Computation 2007 ;Volume 184.(2) p. 276-290 UiO
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2006
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43. |
MacLachlan, MC; Nielsen, Bjørn Fredrik; Lysaker, M; Tveito, Aslak. Computing the size and location of myocardial ischemia using measurements of ST-segment shift. IEEE Transactions on Biomedical Engineering 2006 ;Volume 53. p. 1024-1031 UiO
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44. |
Sundnes, Joakim; Lines, Glenn Terje; Cai, Xing; Nielsen, Bjørn Fredrik; Mardal, Kent-Andre; Tveito, Aslak. Computing the electrical activity in the heart. Springer 2006 (ISBN 978-3-540-33432-3) 311 p. UiO NMBU
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45. |
Sundnes, Joakim; Nielsen, Bjørn Fredrik; Mardal, Kent-Andre; Cai, Xing; Lines, Glenn Terje; Tveito, Aslak. On the computational complexity of the bidomain and the monodomain models of electrophysiology. Annals of Biomedical Engineering 2006 ;Volume 34.(7) p. 1088-1097 UiO
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2005
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46. |
Lysaker, Ola Marius; Nielsen, Bjørn Fredrik; Tveito, Aslak; Lines, Glenn Terje; Sundnes, Joakim; Tarrou, C. Kan man simulere et hjerteslag?. LAMIS - SOMMERKURS "Matematikk ? med røtter og vinger"; 2005-08-07 - 2005-08-10 UiO
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47. |
Mardal, Kent-Andre; Nielsen, Bjørn Fredrik; Cai, Xing; Tveito, Aslak. An order optimal solver for the discretized Bidomain equations. Fornebu, Norway: Simula Research Laboratory 2005 14 p. UiO
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48. |
Mardal, Kent-Andre; Nielsen, Bjørn Fredrik; Cai, Xing; Tveito, Aslak. Optimal Preconditioners for Discrete Versions of the Bidomain Model. Lysaker: Simula Research Laboratory 2005 UiO
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49. |
Mardal, Kent-Andre; Nielsen, Bjørn Fredrik; Tveito, Aslak. Preconditioners for Elliptic Problems with Variable Coefficients. SIAM Conference on Mathematical and Computational Issues in the Geosciences; 2005-06-07 - 2005-06-10 UiO
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50. |
Nielsen, Bjørn Fredrik; Lysaker, Ola Marius; MacLachlan, Mary Catherine; Tveito, Aslak. On the use of level set techniques for identifying heart infarctions. Presented at the Level Set Methods for Direct and Inverse Problems workshop in Linz; 2005-09-14 - 2005-09-16 UiO
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