Grid Technology for Biomedical Applications

Author:

Breton Vincent,Blanchet Christophe,Legré Yannick,Maigne Lydia,Montagnat Johan

Publisher

Springer Berlin Heidelberg

Reference18 articles.

1. Special issue of Journal of Grid Computing dedicated to DataGrid, to be published in (2004)

2. Fraas, B.A., Smathers, J., Deye, J.: Issues limiting the clinical use of Monte Carlo dose calculation algorithms. Med. Phys. 12(30), 3206–3216 (2003)

3. Santin, G., Strul, D., Lazaro, D., Simon, L., Krieguer, M., Vieira Martins, M., Breton, V., Morel, C.: GATE, a Geant4-based simulation platform for PET and SPECT integrating movement and time management. IEEE Trans. Nucl. Sci. 50, 1516–1521 (2003)

4. Traore, M., Hill, D.: The use of random number generation for stochastic distributed simulation: application to ecological modeling. In: 13th European Simulation Symposium, Marseille, France, pp. 555–559 (2001)

5. Coddington, P. (ed.): Random Number Generators For Parallel Computers, Second Issue. NHSE Review (1996)

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1. Services for numerical simulations and optimisations in grids;International Journal of Parallel, Emergent and Distributed Systems;2013-10-24

2. PROGENIA: An Approach for Grid Interoperability at Workflow Level;Lecture Notes in Computer Science;2013

3. Splitting Strategies for Video Images Processing in Medical Data Grid;Software Engineering and Computer Systems;2011

4. ProGenGrid;Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine, and Healthcare;2009

5. Efficient processing of pathological images using the grid;Proceedings of the 5th IEEE workshop on Challenges of large applications in distributed environments;2007-06-25

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