Using grid technologies to face medical image analysis challenges
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
DM2: A Distributed Medical Data Manager for Grids
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
Towards applying content-based image retrieval in the clinical routine
Future Generation Computer Systems
Proceedings of the 5th IEEE workshop on Challenges of large applications in distributed environments
Grid Deployment of Legacy Bioinformatics Applications with Transparent Data Access
GRID '06 Proceedings of the 7th IEEE/ACM International Conference on Grid Computing
PROGENIA: an approach for grid interoperability at workflow level
Euro-Par'12 Proceedings of the 18th international conference on Parallel processing workshops
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The deployment of biomedical applications in a grid environment has started about three years ago in several European projects and national initiatives. These applications have demonstrated that the grid paradigm was relevant to the needs of the biomedical community. They have also highlighted that this community had very specific requirements on middleware and needed further structuring in large collaborations in order to participate to the deployment of grid infrastructures in the coming years. In this paper, we propose several areas where grid technology can today improve research and healthcare. A crucial issue is to maximize the cross fertilization among projects in the perspective of an environment where data of medical interest can be stored and made easily available to the different actors of healthcare, the physicians, the healthcare centres and administrations, and of course the citizens.