SCIRun is a problem solving environment or ”computational workbench” in which a user selects software modules that can be connected in a visual programing environment to create a high level workflow for experimentation. Each module exposes all the available parameters necessary for scientists to adjust the outcome of their simulation or visualization. The networks in SCIRun are flexible enough to enable duplication of networks and creation of new modules. Many SCIRun users find this software particularly useful for their bioelectric field research. Their topics of investigation include cardiac electro-mechanical simulation, ECG and EEG forward and inverse calculations, modeling of deep brain stimulation, electromyography calculation, and determination of the electrical conductivity of anisotropic heart tissue. Users have also made use of SCIRun for the visualization of breast tumor brachytherapy, computer aided surgery, teaching, and a number of non-biomedical applications.

References in zbMATH (referenced in 21 articles )

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  1. Linsen, Lars (ed.); Hagen, Hans (ed.); Hamann, Bernd (ed.); Hege, Hans-Christian (ed.): Visualization in Medicine and Life Sciences II. Progress and New Challenges. Selected papers based on the presentations at the second international workshop, VMLS, Bremerhaven, Germany, June 22--24, 2009 (2012)
  2. Wang, Ming; Feng, Jie-Qing: 2D-manifold boundary surfaces extraction from heterogeneous object on GPU (2012)
  3. Linxweiler, Jan; Krafczyk, Manfred; Tölke, Jonas: Highly interactive computational steering for coupled 3D flow problems utilizing multiple GPUs (2010)
  4. Callahan, Michael; Cole, Martin J.; Shepherd, Jason F.; Stinstra, Jeroen G.; Johnson, Chris R.: A meshing pipeline for biomedical computing (2008)
  5. Li, Shu-Guang; Liu, Qun: A new paradigm for groundwater modeling (2008)
  6. Shepherd, Jason F.; Johnson, Chris R.: Hexahedral mesh generation for biomedical models in scirun (2008)
  7. Santos, Felix C.G.; Lencastre, Maria: An approach for FEM simulator development (2006)
  8. Shu, J.; Watson, L.T.; Zombori, B.G.; Kamke, F.A.: WBCSim: an environment for modeling wood-based composites manufacture (2006)
  9. Banaś, Krzysztof: On a modular architecture for finite element systems. I. Sequential codes (2005)
  10. Maubach, J.; Telea, A.: The numLab numerical laboratory for computation and visualisation (2005)
  11. Davison de St.Germain, J.; Morris, Alan; Parker, Steven G.; Malony, Allen D.; Shende, Sameer: Performance analysis integration in the Uintah software development cycle (2003)
  12. Davison de St.Germain, J.; Morris, Alan; Parker, Steven G.; Malony, Allen D.; Shende, Sameer: Integrating performance analysis in the Uintah software development cycle (2002)
  13. Iskra, K.A.; Belleman, R.G.; van Albada, G.D.; Santoso, J.; Sloot, P.M.A.; Bal, H.E.; Spoelder, H.J.W.; Bubak, M.: The Polder Computing Environment: a system for interactive distributed simulation (2002)
  14. Montgomery, Christopher J.; Swensen, David A.; Harding, Tyson V.; Cremer, Marc A.; Bockelie, Michael J.: A computational problem solving environment for creating and testing reduced chemical kinetic mechanisms. (2002)
  15. DeTar, Carleton; Fogelson, Aaron L.; Johnson, Christopher R.; Sikorski, Christopher A.: Computational engineering and science program at the university of Utah (2001)
  16. Muralidhar, Rajeev; Parashar, Manish: A distributed object infrastructure for interaction and steering (2001)
  17. Houstis, Elias N. (ed.); Rice, John R. (ed.); Gallopoulos, Efstratios (ed.); Bramley, Randall (ed.): Enabling technologies for computational science. Frameworks, middleware and environments (2000)
  18. Houstis, Elias N.; Rice, John R.: Future problem solving environments for computational science (2000)
  19. Telea, Alexandru Cristian: Visualisation and simulation with object-oriented networks (2000)
  20. Trefethen, Anne E.; Ford, Brian: Numerical algorithm delivery mechanisms (2000)

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