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Breton, Vincent - Laboratoire de Physique Corpusculaire, Université Blaise Pascal Clermont-Ferrand
PARALLELIZATION OF MONTE CARLO SIMULATIONS AND SUBMISSION TO A GRID ENVIRONMENT
Roadmap for a European Healthgrid Vincent BRETONa,1
Replication and Update of Molecular Biology Databases in a Grid Environment
Proposing a roadmap for HealthGrids Vincent Breton1
Demonstration of In Silico Docking at a Large Scale on Grid Infrastructure
Grid Added Value to Address Malaria , N. Jacq1+2
SPECT/CT registration with the DCC and MC simulations for SPECT imaging.
MAIGNE Lydia Laboratoire de Physique Corpusculaire
Denise DONNARIEIX LAPLANCHE Centre Jean Perrin
Demonstration of the First Prototype of R U G B I , Desig n and Depl oyment of a G rid
SHARE Roadmap 1: Towards a debate Mark OLIVE a
Graldine FETTAHI Laboratoire de Physique Corpusculaire
Laboratoire TIMC-IMAG, quipe GMCAO Institut d'Ingnierie de l'Information de Sant
The Healthgrid White Paper Vincent Breton a
Grid Enabled High Throughput Virtual Screening Against Four Different Targets
Abstract--We recently demonstrated the value of reconstructing SPECT data with fully 3D Monte Carlo
Medical images simulation, storage, and processing on the European DataGrid testbed
BioMed Central Page 1 of 24
Large Scale In Silico Screening on Grid Infrastructures Nicolas Jacq1
GRID AS A BIOINFORMATIC TOOL , C. Blanchet2
Grid-enabled High Throughput in-silico Screening Against Influenza A Neuraminidase
XXIII mes Journes des Laboratoires Associs de Radiophysique et de Dosimtrie Prague 19-20 Octobre 20006
Sarramia, David Laboratoire de Physique Corpusculaire
SUBMITTED TO BIOGRID'05 1 Grid-enabling medical image analysis
TITRE : Dveloppement d'un systme d'information pour l'utilisation d'images mdicales pour les simulations Monte Carlo GATE sur grille de calcul.
Monte Carlo tomographic reconstruction in SPECT Impact of bootstrapping and number of generated events
Fully 3D Monte Carlo image reconstruction in SPECT using functional regions
Large Scale Deployment of Molecular Docking Application on Computational Grid infrastructures for Combating Malaria
