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Journal Article

  1. [HATT2018177]The first MICCAI challenge on PET tumor segmentation, Medical Image Analysis, vol. 44, pp. 177 - 195, 2018.
  2. [MA-15]J. Ma, Liu, W., and Glatard, T., A stateful storage availability and entropy model to control storage distribution on grids, Concurrency and Computation: Practice and Experience, vol. 27, p. 164--171, 2015.
  3. [MA-13]J. Ma, Liu, W. Y., and Glatard, T., A classification of file placement and replication methods on grids, Future Generation Computer Systems, vol. 29, pp. 1395–1406, 2013.PDF icon fgcs-2011.pdf (599.24 KB)
  4. [OLAB-10]S. Olabarriaga, Glatard, T., and de Boer, P. T., A Virtual Laboratory for Medical Image Analysis, IEEE Transactions on Information Technology in Biomedicine, vol. 14, pp. 979-985, 2010.Package icon TITB-00320-2008-final.pdf.zip (4.51 MB)

Conference Paper

  1. [CHAI-17]Modeling Distributed Platforms from Application Traces for Realistic File Transfer Simulation, in 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2017.
  2. [BOUJ-15]N. Boujelben and Glatard, T., Importing neuGRID workflows in VIP, in 7th International Workshop on Science Gateways, Budapest, Hungary, 2015, pp. 85-90.
  3. [GLAT-15]T. Glatard and Evans, A. C., Classifications of computing sites to handle numerical variability, in Workshop on Clusters, Clouds and Grids for Life Sciences (CCGrid-LIfe), in conjunction with 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), Shenzen, China, 2015, pp. 863 - 870.
  4. [GLAT-14]T. Glatard, Rousseau, M., Rioux, P., Adalat, R., and Evans, A. C., Controlling the deployment of virtual machines on clusters and clouds for scientific computing in CBRAIN, in 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, Chicago, USA, 2014, pp. 384-393.
  5. [FERR-13c]R. Ferreira da Silva, Juve, G., Deelman, E., Glatard, T., Desprez, F., Thain, D., Tovar, B., and Livny, M., Toward Fine-Grained Online Task Characteristics Estimation in Scientific Workflows, in 8th Workshop On Workflows in Support of Large-Scale Science (WORKS), Denver, United States, 2013, pp. 58-67.
  6. [CAMA-13a]S. Camarasu-Pop, Glatard, T., and Benoit-Cattin, H., Simulating Application Workflows and Services Deployed on the European Grid Infrastructure, in 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGrid), Delft, The Netherlands, 2013, p. 18--25.PDF icon simulation_ccgrid2013_revised.pdf (208.3 KB)
  7. [FENG-12]D. Feng, Germain-Renaud, C., and Glatard, T., Distributed Monitoring with Collaborative Prediction, in 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing , Ottawa, Canada, 2012, p. 376--383.
  8. [FERR-12]R. Ferreira da Silva, Glatard, T., and Desprez, F., Self-healing of operational workflow incidents on distributed computing infrastructures, in 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing - CCGrid 2012, Ottawa, Canada, 2012, pp. 318-325.PDF icon ccgrid2012.pdf (435.3 KB)
  9. [FERR-12a]R. Ferreira da Silva and Glatard, T., A science-gateway workload archive to study pilot jobs, user activity, bag of tasks, task sub-steps, and workflow executions, in CoreGRID/ERCIM Workshop on Grids, Clouds and P2P Computing - CGWS 2012, Rhodes Island, Greece, 2012, pp. 79-88.PDF icon 2012-cgws.pdf (1.09 MB)
  10. [GUET-11b]P. Gueth, Camarasu-Pop, S., Glatard, T., Grevillot, L., and Sarrut, D., PBS proton treatment plan simulation with the GATE-Lab, in 50th International PTCOG meeting (Particle Therapy Co-Operative Group), Philadelphia, US, 2011.
  11. [FRED-11]S. B. Fredj, Glatard, T., Casta, C., and Clarysse, P., An exploration framework for segmentation parameter spaces, in IEEE International Conference on Image Processing , Brussels, Belgium, 2011, p. 2257--2260.PDF icon icip11.pdf (346.24 KB)
  12. [MONT-10]J. Montagnat, Glatard, T., Reimert, D., Maheshwari, K., Caron, E., and Desprez, F., Workflow-based comparison of two Distributed Computing Infrastructures, in 5th Workshop on Workflows in Support of Large-Scale Science (WORKS10), New-Orleans, LA, 2010.PDF icon works10-revision.pdf (345.92 KB)
  13. [TAN-10]W. - J. Tan, Ching, C. T. M., Camarasu-Pop, S., Calvat, P., and Glatard, T., Two experiments with application-level quality of service on the EGEE grid, in Proceeding of the 2nd workshop on Grids meets autonomic computing, New York, NY, USA, 2010, pp. 11–20.
  14. [LI-10]T. Li, Camarasu-Pop, S., Glatard, T., Grenier, T., and Benoit-Cattin, H., Optimization of Mean-Shift scale parameters on the EGEE grid, in Studies in health technology and informatics, Proceedings of Healthgrid 2010, 2010, vol. 159, pp. 203-214.PDF icon hg10.pdf (1.03 MB)
  15. [GLAT-09a]T. Glatard, Zhou, X., Camarasu-Pop, S., Smirnova, O., and Muller, H., A comparison between ARC and gLite for medical image processing on Grids, in 2nd workshop on Medical imaging on GRID, HPC and GPU infrastructures: achievements and perspectives (MICCAI-Grid), London, UK, 2009.PDF icon MICCAI_ARC_gLite-final.pdf (102.37 KB)
  16. [LING-09]D. Lingrand, Montagnat, J., and Glatard, T., Modeling user submission strategies on production grids, in International Symposium on High Performance Distributed Computing (HPDC'09), Munchen, Germany, 2009.PDF icon lingrand-montagnat-etal_2009.pdf (374.77 KB)
  17. [GLAT-09]T. Glatard and Camarasu-Pop, S., Modelling pilot-job applications on production grids, in 7th international workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (Heteropar 09), Delft, The Netherlands, 2009.PDF icon heteropar09-glatard-camarasu-final.pdf (1.53 MB)
  18. [GLAT-08d]T. Glatard and Olabarriaga, S., From gridified scripts to workflows: the FSL Feat case, in MICCAI-Grid Workshop (MICCAI-Grid), New York, NY, USA, 2008, pp. 33–42.
  19. [GLAT-08e]T. Glatard, Montagnat, J., and Pennec, X., A framework for evaluating the impact of compression on registration algorithms without gold standard, in International Conference on Image Processing (ICIP'08), San Diego, California, USA, 2008, pp. 2912-2915.
  20. [LING-08]D. Lingrand, Montagnat, J., and Glatard, T., Estimating the execution context for refining submission strategies on production grids, in Assessing Models of Networks and Distributed Computing Platforms (ASSESS / ModernBio) (CCGrid'08), Lyon, France, 2008, pp. 753–758.
  21. [GLAT-08c]T. Glatard and Montagnat, J., Implementation of Turing machines with the Scufl data-flow language, in 3rd International Workshop on Workflow Systems in e-Science (WSES'08), Lyon, France, 2008.
  22. [SOLE-08e]R. S. Soleman, Glatard, T., Veltman, D. J., Nederveen, A., and Olabarriaga, S., Large scale fMRI parameter study on a production grid, in MICCAI-Grid Workshop (MICCAI-Grid), New York, NY, USA, 2008, pp. 65–74.
  23. [GLAT-08b]T. Glatard, Montagnat, J., and Pennec, X., A probabilistic model to analyse workflow performance on production grids, in IEEE International Symposium on Cluster Computing and the Grid (CCGrid'08), Lyon, France, 2008, pp. 510–517.
  24. [GLAT-08a]T. Glatard, Boulebiar, K., and Olabarriaga, S., Workflow integration in VL-e medical, in 21st IEEE International Symposium on Computer-Based Medical Systems (CBMS'08), Jyväskylä, Finland, 2008, pp. 144-146.
  25. [GLAT-08f]T. Glatard and Olabarriaga, S., User friendly management of workflow results: from provenance information to grid logical file names, in 4th IEEE International Conference on e-Science (eScience'08), Indianapolis, USA, 2008.
  26. [GLAT-07a]T. Glatard, Lingrand, D., Montagnat, J., and Riveill, M., Impact of the execution context on Grid job performances, in International Workshop on Context-Awareness and Mobility in Grid Computing (WCAMG'07) (CCGrid'07), Rio de Janeiro, Brazil, 2007, pp. 713–718.
  27. [GLAT-07b]T. Glatard, Montagnat, J., and Pennec, X., Optimizing jobs timeouts on clusters and production grids, in International Symposium on Cluster Computing and the Grid (CCGrid'07), Rio de Janeiro, Brazil, 2007, pp. 100-107.
  28. [NEMO-07]C. Nemo, Glatard, T., Blay-Fornarino, M., and Montagnat, J., Merging overlapping orchestrations: an application to the Bronze Standard medical application, in International Conference on Services Computing (SCC 2007), Salt Lake City, Utah, USA, 2007, pp. 364–371.
  29. [GLAT-06c]T. Glatard, Emsellem, D., and Montagnat, J., Generic web service wrapper for efficient embedding of legacy codes in service-based workflows, in Grid-Enabling Legacy Applications and Supporting End Users Workshop (GELA'06), Paris, France, 2006, pp. 44–53.
  30. [MONT-06]J. Montagnat, Glatard, T., and Lingrand, D., Data composition patterns in service-based workflows, in Workshop on Workflows in Support of Large-Scale Science (WORKS'06), Paris, France, 2006.
  31. [GLAT-06b]T. Glatard, Montagnat, J., and Pennec, X., An experimental comparison of Grid5000 clusters and the EGEE grid, in Workshop on Experimental Grid testbeds for the assessment of large-scale distributed applications and tools (EXPGRID'06), Paris, France, 2006.
  32. [GLAT-06a]T. Glatard, Pennec, X., and Montagnat, J., Performance evaluation of grid-enabled registration algorithms using bronze-standards, in Medical Image Computing and Computer-Assisted Intervention (MICCAI'06), Copenhagen, Denmark, 2006, pp. 152–160.
  33. [GLAT-06e]T. Glatard, Montagnat, J., and Pennec, X., Probabilistic and dynamic optimization of job partitioning on a grid infrastructure, in 14th euromicro conference on Parallel, Distributed and network-based Processing (PDP06), Montbéliard-Sochaux, France, 2006, pp. 231–238.
  34. [GLAT-06d]T. Glatard, Montagnat, J., and Pennec, X., Efficient services composition for grid-enabled data-intensive applications, in IEEE International Symposium on High Performance Distributed Computing (HPDC'06), Paris, France, 2006, pp. 333–334.
  35. [GLAT-05a]T. Glatard, Montagnat, J., and Pennec, X., Grid-enabled workflows for data intensive medical applications, in 18th IEEE International Symposium on Computer-Based Medical Systems (CBMS), Dublin, Ireland, 2005, pp. 537-542.
  36. [GERM-05a]C. Germain, Breton, V., Clarysse, P., Gaudeau, Y., Glatard, T., Jeannot, E., Legré, Y., Loomis, C., Montagnat, J., Moureaux, J. M., Osorio, A., and Texier, R., Grid-enabling medical image analysis, in Biogrid'05, proceedings of the IEEE/ACM International Symposium on Cluster Computing and the Grid, Cardiff, UK, 2005.
  37. [GLAT-04]T. Glatard, Montagnat, J., and Magnin, I. E., Texture based medical image indexing and retrieval: application to cardiac imaging, in Proceedings of ACM Multimedia 2004, workshop on Multimedia Information Retrieval (MIR), New York, NY, USA, 2004, pp. 135–142.

Book Chapter

Invited Conference

  1. [CLAR-12a]P. Clarysse, Glatard, T., and Cervenansky, F., Simulation d’images pour l’aide à l’évaluation en analyse d’images cardiaques - La plateforme d’imagerie virtuelle VIP, Consortium du projet ANR VIP. Journée GDR STIC-Santé sur l’évaluation de méthodes de segmentation en Imagerie Médicale, Paris, 2012.

Miscellaneous

  1. [WANG-12]L. Wang, Camarasu-Pop, S., Glatard, T., Zhu, Y. M., and Magnin, I. E., Diffusion MRI Simulation with the Virtual Imaging Platform, Journées scientifiques mésocentres et France Grilles 2012. Paris, France, 2012.

Pages