@article {24904,
	title = {Simple T wave metrics may better predict early ischemia as compared to ST segment},
	journal = {IEEE Transactions on Biomedical Engineering},
	volume = {64},
	number = {6},
	year = {2016},
	pages = {1305-1309},
	publisher = {IEEE},
	abstract = {There is pressing clinical need to identify developing heart attack (infarction) in patients as early as possible. However, current state-of-the-art tools in clinical practice, underpinned by evaluation of elevation of the ST-segment of the 12-lead electrocardiogram, do not identify all patients suffering from lack of blood flow to the heart muscle (cardiac ischemia), worsening the risk for further adverse events and patient outcome overall. In this study, we aimed to explore and compare the portions of cardiac repolarization in the ECG that best capture the electrophysiological changes associated with ischemia. We developed 3D electrophysiological models of the human ventricles and torso, incorporating biophysically-based membrane kinetics and realistic activation sequence, to compute simulated ECGs and their alteration with application of simulated ischemia of differing severity in diverse regions of the heart. Results suggest that metrics based on the T-wave in addition to the ST segment may be more sensitive to detecting ischemia than those using the ST segment alone. Further research into how such simulationaided risk assessment methods may aid workflows in extant clinical practice, with the ultimate goal of multi-modality clinical support, is warranted.},
	doi = {    10.1109/TBME.2016.2600198},
	author = {Glenn T. {Lines} and Bernardo Lino {de Oliveira} and Skavhaug, Ola and Maleckar, Molly}
}
@article {Simula.SC.488,
	title = {Computing the Stability of Steady-State Solutions of Mathematical Models of the Electrical Activity in the Heart},
	journal = {Mathematical Biosciences and Engineering},
	volume = {41},
	number = {8},
	year = {2011},
	pages = {611-618},
	doi = {10.1016/j.compbiomed.2011.05.011},
	author = {Tveito, Aslak and Skavhaug, Ola and Glenn T. {Lines} and Artebrant, Robert}
}
@article {Simula.sc.838,
	title = {Existence of Excitation Waves for a Collection of Cardiomyocytes Electrically Coupled to Fibroblasts},
	journal = {Mathematical Biosciences},
	volume = {230},
	year = {2011},
	pages = {79-86},
	publisher = {Elsevier},
	abstract = {We consider mathematical models of a collection of cardiomyocytes (myocardial tissue) coupled to a varying number of fibroblasts. Our aim is to understand how conductivity (δ) and fibroblast density (η) affect the stability of the myocardial tissue. We provide mathematical and computational arguments indicating that there is a region of instability in the η-δ space. Mathematical arguments, based on a simplified model of the coupled myocyte-fibroblast system, show that for certain parameter choices, a stationary solution cannot exist. Numerical experiments (1D,2D) are based on a recently developed model of electro-chemical coupling between a human atrial myocyte and a number of associated atrial fibroblasts.},
	doi = {10.1016/j.mbs.2011.01.004},
	author = {Tveito, Aslak and Glenn T. {Lines} and Artebrant, Robert and Skavhaug, Ola and Maleckar, Molly}
}
@article {Simula.simula.230,
	title = {N-Version Benchmark Evaluation of Cardiac Tissue Electrophysiology Simulators},
	journal = {Philosophical Transactions of the Royal Society A},
	volume = {369},
	number = {1954},
	year = {2011},
	month = {November},
	pages = {4331-51},
	abstract = {Ongoing developments in cardiac modelling have resulted, in particular, in the development of advanced and increasingly complex computational frameworks for simulating cardiac tissue electrophysiology. The goal of these simulations is often to represent the detailed physiology and pathologies of the heart using codes that exploit the computational potential of high-performance computing architectures. These developments have rapidly progressed the simulation capacity of cardiac virtual physiological human style models; however, they have also made it increasingly challenging to verify that a given code provides a faithful representation of the purported governing equations and corresponding solution techniques. This study provides the first cardiac tissue electrophysiology simulation benchmark to allow these codes to be verified. The benchmark was successfully evaluated on 11 simulation platforms to generate a consensus gold-standard converged solution. The benchmark definition in combination with the gold-standard solution can now be used to verify new simulation codes and numerical methods in the future.},
	doi = {10.1098/rsta.2011.0139},
	author = {Steven A {Niederer} and Kerfoot, Eric and Benson, Alana and Bernabeu, Miguel and Bernus, Olivier and Cherry, Elizabeth and Clayton, Richard and Fenton, Flavio and Garny, Alan and Heidenreich, Elvio and Land, Sander and Maleckar, Molly and Pathmanathan, Pras and Plank, Gernot and Rodriguez, Jose and Roy, Ishani and Sachse, Frank and Seemann, Gunnar and Skavhaug, Ola and Nicolas P. {Smith}}
}
@article {Simula.simula.228,
	title = {Unstable Eigenmodes As Possible Drivers for Cardiac Arrhythmias},
	journal = {Journal of the Royal Society Interface},
	volume = {8},
	number = {61},
	year = {2011},
	month = {August},
	pages = {1212-6},
	author = {Tveito, Aslak and Glenn T. {Lines} and Skavhaug, Ola and Maleckar, Molly}
}
@misc {Simula.simula.310,
	title = {Using Python for Scientific Computing},
	howpublished = {CBC Seminar on advanced use of Python programming language},
	year = {2010},
	author = {Skavhaug, Ola}
}
@article {Simula.SC.114,
	title = {A Second Order Algorithm for Solving Dynamic Cell Membrane Equations},
	journal = {IEEE Transactions on Biomedical Engineering},
	volume = {56},
	number = {10},
	year = {2009},
	pages = {2546-2548},
	abstract = {This paper describes an extension of the so-called Rush-Larsen scheme, which is a widely used numerical method for solving dynamic models of cardiac cell electrophysiology. The proposed method applies a local linearization of non-linear terms in combination with the analytical solution of linear ordinary differential equations, to obtain a second order accurate numerical scheme. We compare the error and computational load of the second order scheme to the original Rush-Larsen method. For a given error tolerance, the second order method is from nine to 500 times faster than the original scheme, depending on the choice of model and tolerance.},
	author = {Sundnes, Joakim and Artebrant, Robert and Skavhaug, Ola and Tveito, Aslak}
}
@article {Simula.SC.96,
	title = {Unified Framework for Finite Element Assembly},
	journal = {International Journal of Computational Science and Engineering},
	volume = {4},
	number = {4},
	year = {2009},
	pages = {231-244},
	author = {Martin Sandve {Aln{\ae}s} and Logg, Anders and Mardal, Kent-Andre and Skavhaug, Ola and Hans Petter {Langtangen}}
}
@article {Simula.SC.24,
	title = {Penalty Methods for the Numerical Solution of American Multi-Asset Option Problems},
	journal = {Journal of Computational and Applied Mathematics},
	volume = {222},
	number = {1},
	year = {2008},
	pages = {3-16},
	author = {Nielsen, Bj{\o}rn Fredrik and Skavhaug, Ola and Tveito, Aslak}
}
@inbook {Simula.SC.33,
	title = {A Hybrid Approach to Efficient Finite Element Code Development},
	booktitle = {Petascale Computing - Algorithms and Applications},
	series = {Computational Science},
	year = {2007},
	publisher = {Chapman and Hall},
	organization = {Chapman and Hall},
	chapter = {19},
	isbn = {978-1584889090},
	author = {Logg, Anders and Mardal, Kent-Andre and Martin Sandve {Aln{\ae}s} and Hans Petter {Langtangen} and Skavhaug, Ola},
	editor = {David A. {Bader}}
}
@article {Maclachlan.2006.2,
	title = {A Linear System of Partial Differential Equations Modeling the Resting Potential of a Heart With Regional Ischemia},
	journal = {Mathematical Biosciences},
	volume = {210},
	number = {1},
	year = {2007},
	month = {November},
	pages = {238-252},
	author = {Mary C. {MacLachlan} and Sundnes, Joakim and Skavhaug, Ola and Ola Marius {Lysaker} and Nielsen, Bj{\o}rn Fredrik and Tveito, Aslak}
}
@misc {Simula.SC.79,
	title = {Software Components for Solving PDEs},
	howpublished = {Talk at Modelling and Computation of Biomedical Processess Workshop, Simula Oslo, 2007-06-12},
	year = {2007},
	author = {Logg, Anders and Skavhaug, Ola}
}
@manual {Simula.SC.32,
	title = {UFC Specification and User Manual 1.0},
	year = {2007},
	note = {http://www.fenics.org/ufc/},
	month = {July},
	edition = {1.0},
	author = {Martin Sandve {Aln{\ae}s} and Logg, Anders and Mardal, Kent-Andre and Skavhaug, Ola and Hans Petter {Langtangen}}
}
@article {Mardal.2006.7,
	title = {Using Python to Solve Partial Differential Equations},
	journal = {Computing in Science \& Engineering},
	volume = {9},
	number = {3},
	year = {2007},
	month = {May/June},
	pages = {48-51},
	author = {Mardal, Kent-Andre and Skavhaug, Ola and Glenn T. {Lines} and Gunnar Andreas {Staff} and {\O}deg{\r a}rd, {\r A}smund}
}
@misc {Alnes.2006.1,
	title = {Python in High Performance Computing},
	howpublished = {Tutorial presented at the Para06 Workshop},
	year = {2006},
	author = {Martin Sandve {Aln{\ae}s} and Are Magnus {Bruaset} and Cai, Xing and Hans Petter {Langtangen} and Mardal, Kent-Andre and Moe, Halvard and Skavhaug, Ola and {\O}deg{\r a}rd, {\r A}smund}
}
@article {Hinsen.2006.1,
	title = {Using BSP and Python to Simplify Parallel Programming},
	journal = {Future Generation Computer Systems},
	volume = {22},
	number = {1-2},
	year = {2006},
	month = {January},
	pages = {123-157},
	abstract = {Scientific computing is usually associated with compiled languages for maximum efficiency. However, in a typical application program, only a small part of the code is time-critical and requires the efficiency of a compiled language. It is often advantageous to use interpreted high-level languages for the remaining tasks, adopting a mixed-language approach. This will be demonstrated for Python, an interpreted object-oriented high-level language that is well suited for scientific computing. Particular attention is paid to high-level parallel programming using Python and the BSP model. We explain the basics of BSP and how it differs from other parallel programming tools like MPI. Thereafter we present an application of Python and BSP for solving a partial differential equation from computational science, utilizing high-level design of libraries and mixed-language (Python-C or Python-Fortran) programming.},
	author = {Hinsen, K. and Hans Petter {Langtangen} and Skavhaug, Ola and {\O}deg{\r a}rd, {\r A}smund}
}
@misc {Skavhaug.2005.1,
	title = {A Basic Introduction to Python},
	howpublished = {Invited talk at Uppsala University},
	year = {2005},
	month = {March},
	author = {Skavhaug, Ola and Hans Petter {Langtangen}}
}
@techreport {Skavhaug.2005.4,
	title = {A Python Framework for Verifying Codes for Numerical Solutions of Partial Differential Equations},
	number = {2005-18},
	year = {2005},
	publisher = {Simula Research Laboratory},
	author = {Skavhaug, Ola and Mardal, Kent-Andre and Hans Petter {Langtangen}}
}
@misc {Bruaset.2005.2,
	title = {Scientific Computing in Python},
	howpublished = {Tutorial ASIM 2005},
	year = {2005},
	author = {Are Magnus {Bruaset} and Martin Sandve {Aln{\ae}s} and Hans Petter {Langtangen} and Mardal, Kent-Andre and Moe, Halvard and Skavhaug, Ola and {\O}deg{\r a}rd, {\r A}smund}
}
@misc {Skavhaug.2005.3,
	title = {Swiginac - Extending Python With Symbolic Mathematics},
	howpublished = {Invited talk at FEniCS05 in Chicago},
	year = {2005},
	month = {October},
	author = {Skavhaug, Ola and Certic, Ondrej}
}
@misc {Skavhaug.2005.2,
	title = {Visions of Python in Scientific Computing},
	howpublished = {Invited talk at Uppsala University},
	year = {2005},
	month = {March},
	author = {Skavhaug, Ola}
}
@misc {SC.8.Oedegaard.2004.b,
	title = {High Performance Computing in Python},
	howpublished = {Tutorial, SC2004},
	year = {2004},
	month = {November},
	author = {{\O}deg{\r a}rd, {\r A}smund and Mardal, Kent-Andre and Miller, P. and Moe, Halvard and Skavhaug, Ola and Are Magnus {Bruaset} and Hans Petter {Langtangen}}
}
@phdthesis {SC.3.Skavhaug.2004,
	title = {Numerical Methods and Software With Applications in Computational Finance},
	year = {2004},
	school = {Department of Informatics, University of Oslo},
	type = {phd},
	author = {Skavhaug, Ola}
}
@misc {SC.8.Geus.2004,
	title = {Python Wrapper Tools; a Performance Study},
	howpublished = {Talk at the EuroPython 2004 Conference, Gothenburg, Sweden},
	year = {2004},
	note = {Presented by R. Geus},
	month = {June},
	author = {Geus, R. and Skavhaug, Ola and Hans Petter {Langtangen}}
}
@misc {SC.8.Skavhaug.2003,
	title = {Fully Automatic Method of Manufactured Solutions},
	howpublished = {Talk at the Advanced Environments and Tools for High Performance Computing, EuroConference on Problem Solving Environments and the Information Society},
	year = {2003},
	month = {June},
	author = {Skavhaug, Ola}
}
@inbook {SC.5.Skavhaug.2003.a,
	title = {Mathematical Models of Financial Derivatives},
	booktitle = {Advanced Topics in Computational Partial Differential Equations -Numerical Methods and Diffpack Programming},
	year = {2003},
	pages = {451-482},
	publisher = {Springer},
	organization = {Springer},
	author = {Skavhaug, Ola and Nielsen, Bj{\o}rn Fredrik and Tveito, Aslak},
	editor = {Hans Petter {Langtangen} and Tveito, Aslak}
}
@inbook {SC.5.Skavhaug.2003.b,
	title = {Numerical Methods for Financial Derivatives},
	booktitle = {Advanced Topics in Computational Partial Differential Equations -Numerical Methods and Diffpack Programming},
	year = {2003},
	pages = {483-506},
	publisher = {Springer},
	organization = {Springer},
	author = {Skavhaug, Ola and Nielsen, Bj{\o}rn Fredrik and Tveito, Aslak},
	editor = {Hans Petter {Langtangen} and Tveito, Aslak}
}
@article {SC.4.Nielsen.2002,
	title = {Penalty and Front-Fixing Methods for the Numerical Solution of American Option Problems},
	journal = {Journal of Computational Finance},
	volume = {5},
	number = {4},
	year = {2002},
	pages = {69-97},
	author = {Nielsen, Bj{\o}rn Fredrik and Skavhaug, Ola and Tveito, Aslak}
}
@inproceedings {SC.5.Nielsen.2002,
	title = {A Penalty Scheme for Solving American Option Problems},
	journal = {Progress in industrial mathematics at ECMI 2000},
	year = {2002},
	pages = {608-612},
	publisher = {Springer-Verlag},
	type = {1},
	author = {Nielsen, Bj{\o}rn Fredrik and Skavhaug, Ola and Tveito, Aslak},
	editor = {A. M. {Anile} and Capasso, V. and Greco, A.}
}
@misc {SC.8.Nielsen.2001.b,
	title = {Numerical Solution of American Option Problems Using Penalty Methods},
	howpublished = {Presented at the SIAM Annual Meeting in San Diego, USA},
	year = {2001},
	month = {July},
	author = {Nielsen, Bj{\o}rn Fredrik and Skavhaug, Ola and Tveito, Aslak}
}
@misc {SC.8.Nielsen.2000,
	title = {Penalty Methods for the Numerical Solution of American Option Problems},
	howpublished = {Presented at the Department of Mathematics, University of Oslo, Norway},
	year = {2000},
	month = {February},
	author = {Nielsen, Bj{\o}rn Fredrik and Skavhaug, Ola and Tveito, Aslak}
}
