| The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments KJ Gorgolewski, T Auer, VD Calhoun, RC Craddock, S Das, EP Duff, ... Scientific data 3 (1), 1-9, 2016 | 315 | 2016 |
| Best practices in data analysis and sharing in neuroimaging using MRI TE Nichols, S Das, SB Eickhoff, AC Evans, T Glatard, M Hanke, ... Nature neuroscience 20 (3), 299-303, 2017 | 290 | 2017 |
| Flexible and efficient workflow deployment of data-intensive applications on grids with MOTEUR T Glatard, J Montagnat, D Lingrand, X Pennec The International Journal of High Performance Computing Applications 22 (3 …, 2008 | 260 | 2008 |
| Texture based medical image indexing and retrieval: application to cardiac imaging T Glatard, J Montagnat, IE Magnin Proceedings of the 6th ACM SIGMM international workshop on Multimedia …, 2004 | 126 | 2004 |
| CBRAIN: a web-based, distributed computing platform for collaborative neuroimaging research T Sherif, P Rioux, ME Rousseau, N Kassis, N Beck, R Adalat, S Das, ... Frontiers in neuroinformatics 8, 54, 2014 | 122 | 2014 |
| A Virtual Imaging Platform for multi-modality medical image simulation T Glatard, C Lartizien, B Gibaud, R Ferreira da Silva, G Forestier, ... IEEE Transactions on Medical Imaging 32 (1), 110-118, 2013 | 101 | 2013 |
| A data-driven workflow language for grids based on array programming principles J Montagnat, B Isnard, T Glatard, K Maheshwari, MB Fornarino Proceedings of the 4th Workshop on Workflows in Support of Large-Scale …, 2009 | 94 | 2009 |
| A virtual laboratory for medical image analysis SD Olabarriaga, T Glatard, PT de Boer IEEE Transactions on Information Technology in Biomedicine 14 (4), 979-985, 2010 | 73 | 2010 |
| Reproducibility of neuroimaging analyses across operating systems T Glatard, LB Lewis, R Ferreira da Silva, R Adalat, N Beck, C Lepage, ... Frontiers in neuroinformatics 9, 12, 2015 | 71 | 2015 |
| Dynamic partitioning of GATE Monte-Carlo simulations on EGEE S Camarasu-Pop, T Glatard, JT Mościcki, H Benoit-Cattin, D Sarrut Journal of Grid Computing 8 (2), 241-259, 2010 | 59 | 2010 |
| A Service-Oriented Architecture enabling dynamic service grouping for optimizing distributed workflow execution T Glatard, J Montagnat, D Emsellem, D Lingrand Future Generation Computer Systems 24 (7), 720-730, 2008 | 59 | 2008 |
| Grid-enabling medical image analysis C Germain, V Breton, P Clarysse, Y Gaudeau, T Glatard, E Jeannot, ... Journal of Clinical Monitoring and Computing 19 (4-5), 339-349, 2005 | 57 | 2005 |
| Performance evaluation of grid-enabled registration algorithms using bronze-standards T Glatard, X Pennec, J Montagnat International Conference on Medical Image Computing and Computer-Assisted …, 2006 | 54 | 2006 |
| The first MICCAI challenge on PET tumor segmentation M Hatt, B Laurent, A Ouahabi, H Fayad, S Tan, L Li, W Lu, V Jaouen, ... Medical image analysis 44, 177-195, 2018 | 52 | 2018 |
| Toward fine-grained online task characteristics estimation in scientific workflows RF Da Silva, G Juve, E Deelman, T Glatard, F Desprez, D Thain, B Tovar, ... Proceedings of the 8th Workshop on Workflows in Support of Large-Scale …, 2013 | 48 | 2013 |
| Grid-enabled workflows for data intensive medical applications T Glatard, J Montagnat, X Pennec 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05), 537-542, 2005 | 48 | 2005 |
| A classification of file placement and replication methods on grids J Ma, W Liu, T Glatard Future Generation Computer Systems 29 (6), 1395-1406, 2013 | 40 | 2013 |
| Monte Carlo simulation on heterogeneous distributed systems: A computing framework with parallel merging and checkpointing strategies S Camarasu-Pop, T Glatard, RF Da Silva, P Gueth, D Sarrut, ... Future Generation Computer Systems 29 (3), 728-738, 2013 | 40 | 2013 |
| Objective evaluation of multiple sclerosis lesion segmentation using a data management and processing infrastructure O Commowick, A Istace, M Kain, B Laurent, F Leray, M Simon, SC Pop, ... Scientific reports 8 (1), 1-17, 2018 | 36 | 2018 |
| Head-to-head comparison of two popular cortical thickness extraction algorithms: a cross-sectional and longitudinal study A Redolfi, D Manset, F Barkhof, LO Wahlund, T Glatard, JF Mangin, ... PLoS One 10 (3), e0117692, 2015 | 32 | 2015 |
Sorina Camarasu-PopUniv Lyon, INSA‐Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATISVerified email at creatis.insa-lyon.fr
