Reading list: Darius -List of Rading Materials
. MacLeod R.S., C.R. Johnson, and M.A. Matheson, Visualization
tools for computational electrocardiography. In Visualization in
Biomedical Computing, Bellingham, Wash., . Proceedings of
the SPIE #, pp. –.
. Weinstein D., Scanline surfacing: Building separating surfaces
from planar contours, in Proceeding of IEEE Visualization ,
, pp. –.
. Hren R. and G. Stroink, Application of the surface harmonic
expansions for modeling the human torso. IEEE Trans. Biomed.
Eng., ;(): .
. Bradley C.P., A.J. Pullan, and P.J. Hunter, Geometric modeling
of the human torso using cubic hermite elements. Ann. Biomed.
Eng., ;: –.
. Gumhold S., X. Wang, and R.S. MacLeod, Feature extraction
from point clouds, in Proceedings, th International Meshing
Roundtable. Sandia National Laboratories, , pp. –.
. Bern M. and D. Eppstein, Mesh generation and optimal triangulation,
in Computing in Euclidean Geomtry, F.K. Hwang and
D.Z. Du, Editors. World Scientific, Singapore, .
. Lee D.T. and B.J. Schachter, Two algorithms for constructing a
Delaunay triangulation. Int. J. Comp. Inf. Sci., ;: –.
. Schumaker L.L., Triangularization methods, in Topics in Multivariate
Analysis. Academic Press, London, , pp. –.
. Schmidt J.A., C.R. Johnson, J.A. Eason, and R.S. MacLeod,
Applications of automatic mesh generation and adaptive methods
in computational medicine, in Modeling, Mesh Generation,
and Adaptive Methods for Partial Differential Equations,
J. Flaherty and I. Babuska, Editors. Springer, Berlin, , pp.
–.
. Schimpf P.H., D.R. Haynor, and Y. Kim, Object-free adaptive
meshing in highly heterogeneous -D domains. Int. J. Biomed.
Comput., ;(): –.
. Peraire J. and K. Morgan, Unstructured mesh generation including
directional refinement for aerodynamic flow simulation.
Finite Elements Anal. Design, ;: .
. Alliez P., D. Cohen-Steiner, M. Yvinec, and M. Desbrun, Variational
tetrahedral meshing, in International Conference on Computer
Graphics and Interactive Techniques. ACM Press, New
York, NY, USA, , pp. –.
. Yu F. and C. R. Johnson, An automatic adaptive refinement and
derefinement method, in Proceedings of the th IMACS World
Congress, , pp. –.
. Livnat Y. and Johnson C.R., The effects of adaptive refinement
on ill-posed inverse problems. Personal communication, .
. Schimpf P.H., Y. Wang, D.R. Haynor, and Y. Kim, Sensitivity
of transvenous defibrillation models to adaptive mesh density
and resolution: the potential for interactive solution times. Int.
J. Med. Inf., ;(): –.
. Lines G., P. Grottum, and A. Tveito, Modeling the electrical
activity of the heart –A bidomain model of the ventricles
embedded in a torso. Comput. & Vis. Sci., ;():
–.
. Missan S. and T. F. McDonald, CESE: Cell Electrophysiology
Simulation Environment. Appl. Bioinformat., ;():
–.
. Tomita M., K. Hashimoto, K. Takahashi, T.S. Shimizu, Y. Matsuzaki,
F. Miyoshi, K. Saito, S. Tanida, K. Yugi, J.C. Venter, and
C.A. Hutchison. E-CELL: software environment for whole-cell
simulation. Bioinformatics, ;(): –.
. van Oosterom A. and T.F. Oostendorp, ECGSIM: an interactive
tool for studying the genesis of QRST waveforms. Heart,
;(): –.
. SCIRun: A Scientific Computing Problem Solving Environment,
Scientific Computing and Imaging Institute (SCI), .
. BioPSE: Problem Solving Environment for modeling, simulation,
image processing, and visualization for biomedical computing
applications. Scientific Computing and Imaging Institute
(SCI), .
. Weinstein D.M., S.G. Parker, and C.R. Johnson, A physically
based mesh generation algorithm: Applications in computational
medicine, in IEEE Engineering in Medicine and Biology
Society th Annual International Conference. IEEE Press,
New York,, pp. –.
. Weinstein D.M., L. Zhukov, and C.R. Johnson, Lead-field bases
for EEG source imaging. Ann. Biomed. Eng., ;(): –
.
. Weinstein D.M., L. Zhukov, and C.R. Johnson, An inverse EEG
problem solving environment and its applications to EEG source
localization. NeuroImage (suppl.), : .
. MacLeod R.S. and C.R. Johnson, Mapd: Interactive scientific
visualization for bioengineering data, in Proceedings of the IEEE
Engineering in Medicine and Biology Society th Annual International
Conference. IEEE Press, New York, , pp. –.
http://software.sci.utah.edu/mapd.html.
. Clancy C.E. and Y. Rudy, Linking a genetic defect to its cellular
phenotype in a cardiac arrhythmia. Nature, ():
–.
. Venter J.C., M.D. Adams, E.W. Myers, and P.W. Li, The sequence
of the human genome. Science, (): –.
. Hunter P.J. and T.K. Borg, Integration from proteins to organs:
the physiome project. Nat. Rev. Mol. Cell. Biol., ;(): –
.
. Hunter P.J., The iups physiome project: a framework for computational
physiology. Prog. Biophys. Mol. Biol., ;(–):
–.
. H.C. Burger and van Milaan J.B., Heart-vector and leads. Part I.
Br. Heart J., ;: –.
. Sundnes J., G.T. Lines, X. Cai, B.F. Nielsen, K.A. Mardal, and
A. Tveito, Computing the Electrical Activity in the Heart. Spinger,
Berlin, .
. Potse M., B. Dube, J. Richer, A. Vinet, and R.M. Gulrajani, A
comparison of monodomain and bidomain reaction-diffusion
models for action potential propagation in the human heart.
IEEE Trans. Biomed. Eng., ;(): –.
. Austin T.M., M.L. Trew, and A.J. Pullan, Solving the cardiac
bidomain equations for discontinuous conductivities. IEEE
Trans. Biomed. Eng., ;(): –.
. Austin T., D. Hooks, P. Hunter, D. Nickerson, A.J. Pullan,
G. Sands, B. Maaill, and M. Trew, Modelling cardiac electrical
activity at the cell and tissue levels, in Interactive and Integrative
Cardiology, vol. , S. Sideman, R. Beyar, and A. Landesberg,
Editors. Annals of NY Academy of Sciences, ;:
–.
. Trew M.L., B.J. Caldwell, G.B. Sands, D.A. Hooks, D.C. Tai,
T.M. Austin, I.J. LeGrice, A.J. Pullan, and B.H. Smaill, Cardiac
electrophysiology and tissue structure: bridging the scale gap
with a joint measurement and modelling paradigm. Exp Physiol,
;(): –.