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Tristan Glatard
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- affiliation: Concordia University, Montreal, Canada
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2020 – today
- 2024
- [j37]Martin Khannouz, Tristan Glatard:
Mondrian forest for data stream classification under memory constraints. Data Min. Knowl. Discov. 38(2): 569-596 (2024) - [i30]Sana Ahmadi, Pierre Bellec, Tristan Glatard:
Scaling up ridge regression for brain encoding in a massive individual fMRI dataset. CoRR abs/2403.19421 (2024) - 2023
- [j36]Mathieu Dugré, Valérie Hayot-Sasson, Tristan Glatard:
Performance comparison of Dask and Apache Spark on HPC systems for neuroimaging. Concurr. Comput. Pract. Exp. 35(21) (2023) - [j35]Yohan Chatelain, Nigel Yong Sao Young, Gregory Kiar, Tristan Glatard:
PyTracer: Automatically Profiling Numerical Instabilities in Python. IEEE Trans. Computers 72(6): 1792-1803 (2023) - [c63]Morgane Des Ligneris, Axel Bonnet, Yohan Chatelain, Tristan Glatard, Michaël Sdika, Gaël Vila, Valentine Wargnier-Dauchelle, Sorina Camarasu-Pop, Carole Frindel:
Reproducibility of Tumor Segmentation Outcomes with a Deep Learning Model. ISBI 2023: 1-5 - [c62]Inés Gonzalez Pepe, Vinuyan Sivakolunthu, Hae Lang Park, Yohan Chatelain, Tristan Glatard:
Numerical Uncertainty of Convolutional Neural Networks Inference for Structural Brain MRI Analysis. UNSURE@MICCAI 2023: 64-73 - [i29]Yohan Chatelain, Loïc Tetrel, Christopher J. Markiewicz, Mathias Goncalves, Gregory Kiar, Oscar Esteban, Pierre Bellec, Tristan Glatard:
A numerical variability approach to results stability tests and its application to neuroimaging. CoRR abs/2307.01373 (2023) - [i28]Korantin Bordeau-Aubert, Justin Whatley, Sylvain Nadeau, Tristan Glatard, Brigitte Jaumard:
Classification of Anomalies in Telecommunication Network KPI Time Series. CoRR abs/2308.16279 (2023) - 2022
- [c61]Martin Khannouz, Tristan Glatard:
Dynamic Ensemble Size Adjustment for Memory Constrained Mondrian Forest. IEEE Big Data 2022: 3358-3363 - [c60]Jacob Sanz-Robinson, Arman Jahanpour, Natalie Phillips, Tristan Glatard, Jean-Baptiste Poline:
NeuroCI: Continuous Integration of Neuroimaging Results Across Software Pipelines and Datasets. e-Science 2022: 105-116 - [i27]Martin Khannouz, Tristan Glatard:
Mondrian Forest for Data Stream Classification Under Memory Constraints. CoRR abs/2205.07871 (2022) - [i26]Valérie Hayot-Sasson, Mathieu Dugré, Tristan Glatard:
Sea: A lightweight data-placement library for Big Data scientific computing. CoRR abs/2207.01737 (2022) - [i25]Martin Khannouz, Tristan Glatard:
Dynamic Ensemble Size Adjustment for Memory Constrained Mondrian Forest. CoRR abs/2210.05704 (2022) - [i24]Inés Gonzalez Pepe, Yohan Chatelain, Gregory Kiar, Tristan Glatard:
Numerical Stability of DeepGOPlus Inference. CoRR abs/2212.06361 (2022) - 2021
- [j34]Olivier Commowick, Michaël Kain, Romain Casey, Roxana Ameli, Jean-Christophe Ferré, Anne Kerbrat, Thomas Tourdias, Frédéric Cervenansky, Sorina Camarasu-Pop, Tristan Glatard, Sandra Vukusic, Gilles Edan, Christian Barillot, Michel Dojat, François Cotton:
Multiple sclerosis lesions segmentation from multiple experts: The MICCAI 2016 challenge dataset. NeuroImage 244: 118589 (2021) - [c59]Antoine Hébert, Ian Marineau, Gilles Gervais, Tristan Glatard, Brigitte Jaumard:
Can we Estimate Truck Accident Risk from Telemetric Data using Machine Learning? IEEE BigData 2021: 1827-1836 - [c58]H.-H. Phan-Vu, Brigitte Jaumard, Tristan Glatard, Justin Whatley, Sylvain Nadeau:
A Scalable Multi-factor Fault Analysis Framework for Information Systems. IEEE BigData 2021: 2621-2630 - [c57]Marc Vicuna, Martin Khannouz, Gregory Kiar, Yohan Chatelain, Tristan Glatard:
Reducing numerical precision preserves classification accuracy in Mondrian Forests. IEEE BigData 2021: 2785-2790 - [c56]Hoang-Dung Do, Valérie Hayot-Sasson, Rafael Ferreira da Silva, Christopher Steele, Henri Casanova, Tristan Glatard:
Modeling the Linux page cache for accurate simulation of data-intensive applications. CLUSTER 2021: 398-408 - [c55]Ali Salari, Yohan Chatelain, Gregory Kiar, Tristan Glatard:
Accurate Simulation of Operating System Updates in Neuroimaging Using Monte-Carlo Arithmetic. UNSURE/PIPPI@MICCAI 2021: 14-23 - [c54]Mandana Mazaheri, Gregory Kiar, Tristan Glatard:
A Recommender System for Scientific Datasets and Analysis Pipelines. WORKS 2021: 1-8 - [c53]Valérie Hayot-Sasson, Tristan Glatard, Ariel Rokem:
The benefits of prefetching for large-scale cloud-based neuroimaging analysis workflows. WORKS 2021: 42-49 - [i23]Hoang-Dung Do, Valérie Hayot-Sasson, Rafael Ferreira da Silva, Christopher Steele, Henri Casanova, Tristan Glatard:
Modeling the Linux page cache for accurate simulation of data-intensive applications. CoRR abs/2101.01335 (2021) - [i22]Marc Vicuna, Martin Khannouz, Gregory Kiar, Yohan Chatelain, Tristan Glatard:
Reducing numerical precision preserves classification accuracy in Mondrian Forests. CoRR abs/2106.14340 (2021) - [i21]Mandana Mazaheri, Gregory Kiar, Tristan Glatard:
A Recommender System for Scientific Datasets and Analysis Pipelines. CoRR abs/2108.09275 (2021) - [i20]Valérie Hayot-Sasson, Tristan Glatard, Ariel Rokem:
The benefits of prefetching for large-scale cloud-based neuroimaging analysis workflows. CoRR abs/2108.10496 (2021) - [i19]Gregory Kiar, Yohan Chatelain, Ali Salari, Alan C. Evans, Tristan Glatard:
Data Augmentation Through Monte Carlo Arithmetic Leads to More Generalizable Classification in Connectomics. CoRR abs/2109.09649 (2021) - [i18]Yohan Chatelain, Nigel Yong, Gregory Kiar, Tristan Glatard:
PyTracer: Automatically profiling numerical instabilities in Python. CoRR abs/2112.11508 (2021) - 2020
- [j33]Jorge Bosch-Bayard, Eduardo Aubert-Vázquez, Shawn T. Brown, Christine Rogers, Gregory Kiar, Tristan Glatard, Lalet Scaria, Lídice Galán-García, Maria L. Bringas-Vega, Trinidad Virués-Alba, Armin Taheri, Samir Das, Cecile Madjar, Zia Mohaddes, Leigh C. MacIntyre, Alan C. Evans, Pedro A. Valdés-Sosa:
A Quantitative EEG Toolbox for the MNI Neuroinformatics Ecosystem: Normative SPM of EEG Source Spectra. Frontiers Neuroinformatics 14: 33 (2020) - [j32]Gregory Kiar, Pablo de Oliveira Castro, Pierre Rioux, Eric Petit, Shawn T. Brown, Alan C. Evans, Tristan Glatard:
Comparing perturbation models for evaluating stability of neuroimaging pipelines. Int. J. High Perform. Comput. Appl. 34(5) (2020) - [j31]Martin Khannouz, Tristan Glatard:
A Benchmark of Data Stream Classification for Human Activity Recognition on Connected Objects. Sensors 20(22): 6486 (2020) - [c52]Valérie Hayot-Sasson, Shawn T. Brown, Tristan Glatard:
Performance benefits of Intel® Optane™ DC persistent memory for the parallel processing of large neuroimaging data. CCGRID 2020: 509-518 - [i17]Antoine Hébert, Ian Marineau, Gilles Gervais, Tristan Glatard, Brigitte Jaumard:
Can we Estimate Truck Accident Risk from Telemetric Data using Machine Learning? CoRR abs/2007.09167 (2020) - [i16]Martin Khannouz, Tristan Glatard:
A benchmark of data stream classification for human activity recognition on connected objects. CoRR abs/2008.11880 (2020) - [i15]Bhupinder Kaur, Mathieu Dugré, Aiman Hanna, Tristan Glatard:
An Analysis of Security Vulnerabilities in Container Images for Scientific Data Analysis. CoRR abs/2010.13970 (2020)
2010 – 2019
- 2019
- [j30]Michelle Barker, Sílvia Delgado Olabarriaga, Nancy Wilkins-Diehr, Sandra Gesing, Daniel S. Katz, Shayan Shahand, Scott Henwood, Tristan Glatard, Keith G. Jeffery, Brian Corrie, Andrew E. Treloar, Helen M. Glaves, Lesley Wyborn, Neil P. Chue Hong, Alessandro Costa:
The global impact of science gateways, virtual research environments and virtual laboratories. Future Gener. Comput. Syst. 95: 240-248 (2019) - [j29]Gregory Kiar, Shawn T. Brown, Tristan Glatard, Alan C. Evans:
A Serverless Tool for Platform Agnostic Computational Experiment Management. Frontiers Neuroinformatics 13: 12 (2019) - [j28]Martin Khannouz, Bo Li, Tristan Glatard:
OrpailleCC: a Library for Data Stream Analysis on Embedded Systems. J. Open Source Softw. 4(39): 1485 (2019) - [j27]Akbar Dehghani, Omid Sarbishei, Tristan Glatard, Emad Shihab:
A Quantitative Comparison of Overlapping and Non-Overlapping Sliding Windows for Human Activity Recognition Using Inertial Sensors. Sensors 19(22): 5026 (2019) - [c51]Antoine Hébert, Timothée Guédon, Tristan Glatard, Brigitte Jaumard:
High-Resolution Road Vehicle Collision Prediction for the City of Montreal. IEEE BigData 2019: 1804-1813 - [c50]Valérie Hayot-Sasson, Shawn T. Brown, Tristan Glatard:
Performance Evaluation of Big Data Processing Strategies for Neuroimaging. CCGRID 2019: 449-458 - [c49]Valérie Hayot-Sasson, Tristan Glatard:
Evaluation of Pilot Jobs for Apache Spark Applications on HPC Clusters. eScience 2019: 146-155 - [c48]Mathieu Dugré, Valérie Hayot-Sasson, Tristan Glatard:
A Performance Comparison of Dask and Apache Spark for Data-Intensive Neuroimaging Pipelines. WORKS@SC 2019: 40-49 - [i14]Akbar Dehghani, Tristan Glatard, Emad Shihab:
Subject Cross Validation in Human Activity Recognition. CoRR abs/1904.02666 (2019) - [i13]Antoine Hébert, Timothée Guédon, Tristan Glatard, Brigitte Jaumard:
High-Resolution Road Vehicle Collision Prediction for the City of Montreal. CoRR abs/1905.08770 (2019) - [i12]Valérie Hayot-Sasson, Tristan Glatard:
Evaluation of pilot jobs for Apache Spark applications on HPC clusters. CoRR abs/1905.12720 (2019) - [i11]Victor Molina, Marta Kersten-Oertel, Tristan Glatard:
A Conceptual Marketplace Model for IoT Generated Personal Data. CoRR abs/1907.03047 (2019) - [i10]Mathieu Dugré, Valérie Hayot-Sasson, Tristan Glatard:
A performance comparison of Dask and Apache Spark for data-intensive neuroimaging pipelines. CoRR abs/1907.13030 (2019) - [i9]Gregory Kiar, Pablo de Oliveira Castro, Pierre Rioux, Eric Petit, Shawn T. Brown, Alan C. Evans, Tristan Glatard:
Comparing Perturbation Models for Evaluating Stability of Post-Processing Pipelines in Neuroimaging. CoRR abs/1908.10922 (2019) - [i8]Valérie Hayot-Sasson, Shawn T. Brown, Tristan Glatard:
Performance benefits of Intel(R) OptaneTM DC persistent memory for the parallel processing of large neuroimaging data. CoRR abs/1912.11794 (2019) - 2018
- [j26]Sílvia Delgado Olabarriaga, Dagmar Krefting, Tristan Glatard:
Special isssue of the CCGrid-Life workshop 2017. Concurr. Comput. Pract. Exp. 30(12) (2018) - [j25]Mathieu Hatt, Baptiste Laurent, Anouar Ouahabi, Hadi Fayad, Shan Tan, Laquan Li, Wei Lu, Vincent Jaouen, Clovis Tauber, Jakub Czakon, Filip Drapejkowski, Witold Dyrka, Sorina Camarasu-Pop, Frédéric Cervenansky, Pascal Girard, Tristan Glatard, Michaël Kain, Yao Yao, Christian Barillot, Assen Kirov, Dimitris Visvikis:
The first MICCAI challenge on PET tumor segmentation. Medical Image Anal. 44: 177-195 (2018) - [c47]Soudabeh Barghi, Lalet Scaria, Ali Salari, Tristan Glatard:
Predicting computational reproducibility of data analysis pipelines in large population studies using collaborative filtering. IEEE BigData 2018: 943-950 - [c46]Monika Sharma, Tristan Glatard, Éric Gélinas, Mariam Tagmouti, Brigitte Jaumard:
Service failure prediction in supply-chain networks. IEEE BigData 2018: 1827-1836 - [c45]Bo Li, Omid Sarbishei, Hosein Nourani, Tristan Glatard:
A multi-dimensional extension of the Lightweight Temporal Compression method. IEEE BigData 2018: 2918-2923 - [c44]Anchen Chai, Sorina Camarasu-Pop, Tristan Glatard, Hugues Benoit-Cattin, Frédéric Suter:
Evaluation Through Realistic Simulations of File Replication Strategies for Large Heterogeneous Distributed Systems. Euro-Par Workshops 2018: 409-420 - [i7]Gregory Kiar, Shawn T. Brown, Tristan Glatard, Alan C. Evans:
A Serverless Tool for Platform Agnostic Computational Experiment Management. CoRR abs/1809.07693 (2018) - [i6]Soudabeh Barghi, Lalet Scaria, Ali Salari, Tristan Glatard:
Predicting computational reproducibility of data analysis pipelines in large population studies using collaborative filtering. CoRR abs/1809.10139 (2018) - [i5]Monika Sharma, Tristan Glatard, Éric Gélinas, Mariam Tagmouti, Brigitte Jaumard:
Data models for service failure prediction in supply-chain networks. CoRR abs/1810.09944 (2018) - [i4]Bo Li, Omid Sarbishei, Hosein Nourani, Tristan Glatard:
A multi-dimensional extension of the Lightweight Temporal Compression method. CoRR abs/1811.09930 (2018) - [i3]Valérie Hayot-Sasson, Shawn T. Brown, Tristan Glatard:
Performance Evaluation of Big Data Processing Strategies for Neuroimaging. CoRR abs/1812.06492 (2018) - 2017
- [j24]Tristan Glatard, Marc-Etienne Rousseau, Sorina Camarasu-Pop, Reza Adalat, Natacha Beck, Samir Das, Rafael Ferreira da Silva, Najmeh Khalili-Mahani, Vladimir Korkhov, Pierre-Olivier Quirion, Pierre Rioux, Sílvia D. Olabarriaga, Pierre Bellec, Alan C. Evans:
Software architectures to integrate workflow engines in science gateways. Future Gener. Comput. Syst. 75: 239-255 (2017) - [c43]Valérie Hayot-Sasson, Yongping Gao, Yuhong Yan, Tristan Glatard:
Sequential algorithms to split and merge ultra-high resolution 3D images. IEEE BigData 2017: 415-424 - [c42]Anchen Chai, Mohammad-Mahdi Bazm, Sorina Camarasu-Pop, Tristan Glatard, Hugues Benoit-Cattin, Frédéric Suter:
Modeling Distributed Platforms from Application Traces for Realistic File Transfer Simulation. CCGrid 2017: 54-63 - [i2]Tristan Glatard, Gregory Kiar, Tristan Aumentado-Armstrong, Natacha Beck, Pierre Bellec, Rémi Bernard, Axel Bonnet, Sorina Camarasu-Pop, Frédéric Cervenansky, Samir Das, Rafael Ferreira da Silva, Guillaume Flandin, Pascal Girard, Krzysztof J. Gorgolewski, Charles R. G. Guttmann, Valérie Hayot-Sasson, Pierre-Olivier Quirion, Pierre Rioux, Marc-Etienne Rousseau, Alan C. Evans:
Boutiques: a flexible framework for automated application integration in computing platforms. CoRR abs/1711.09713 (2017) - 2016
- [j23]Sorina Camarasu-Pop, Tristan Glatard, Hugues Benoit-Cattin:
Combining analytical modeling, realistic simulation and real experimentation for the optimization of Monte-Carlo applications on the European Grid Infrastructure. Future Gener. Comput. Syst. 57: 13-23 (2016) - [j22]Samir Das, Tristan Glatard, Christine Rogers, John Saigle, Santiago Paiva, Leigh C. MacIntyre, Mouna Safi-Harb, Marc-Etienne Rousseau, Jordan Stirling, Najmeh Khalili-Mahani, Dave MacFarlane, Penelope Kostopoulos, Pierre Rioux, Cecile Madjar, Xavier Lecours-Boucher, Sandeep Vanamala, Reza Adalat, Zia Mohaddes, Vladimir S. Fonov, Sylvain Milot, Ilana Leppert, Clotilde Degroot, Thomas M. Durcan, Tara Campbell, Jeremy T. Moreau, Alain Dagher, D. Louis Collins, Jason Karamchandani, Amit Bar-Or, Edward A. Fon, Rick Hoge, Sylvain Baillet, Guy Rouleau, Alan C. Evans:
Cyberinfrastructure for Open Science at the Montreal Neurological Institute. Frontiers Neuroinformatics 10: 53 (2016) - [j21]Samir Das, Tristan Glatard, Leigh C. MacIntyre, Cecile Madjar, Christine Rogers, Marc-Etienne Rousseau, Pierre Rioux, Dave MacFarlane, Zia Mohades, Rathi Gnanasekaran, Carolina Makowski, Penelope Kostopoulos, Reza Adalat, Najmeh Khalili-Mahani, Guiomar Niso, Jeremy T. Moreau, Alan C. Evans:
The MNI data-sharing and processing ecosystem. NeuroImage 124: 1188-1195 (2016) - 2015
- [j20]Jianwei Ma, Wanyu Liu, Tristan Glatard:
A stateful storage availability and entropy model to control storage distribution on grids. Concurr. Comput. Pract. Exp. 27(1): 164-171 (2015) - [j19]Tristan Glatard, Lindsay B. Lewis, Rafael Ferreira da Silva, Reza Adalat, Natacha Beck, Claude Lepage, Pierre Rioux, Marc-Etienne Rousseau, Tarek Sherif, Ewa Deelman, Najmeh Khalili-Mahani, Alan C. Evans:
Reproducibility of neuroimaging analyses across operating systems. Frontiers Neuroinformatics 9: 12 (2015) - [c41]Tristan Glatard, Alan C. Evans:
Classifications of Computing Sites to Handle Numerical Variability. CCGRID 2015: 863-870 - 2014
- [j18]Rafael Ferreira da Silva, Tristan Glatard, Frédéric Desprez:
Controlling fairness and task granularity in distributed, online, non-clairvoyant workflow executions. Concurr. Comput. Pract. Exp. 26(14): 2347-2366 (2014) - [j17]Tarek Sherif, Pierre Rioux, Marc-Etienne Rousseau, Nicolas Kassis, Natacha Beck, Reza Adalat, Samir Das, Tristan Glatard, Alan C. Evans:
CBRAIN: a web-based, distributed computing platform for collaborative neuroimaging research. Frontiers Neuroinformatics 8: 54 (2014) - [j16]Bernard Gibaud, Germain Forestier, Hugues Benoit-Cattin, Frederic Cervenansky, Patrick Clarysse, Denis Friboulet, Alban Gaignard, Patrick Hugonnard, Carole Lartizien, Hervé Liebgott, Johan Montagnat, Joachim Tabary, Tristan Glatard:
OntoVIP: An ontology for the annotation of object models used for medical image simulation. J. Biomed. Informatics 52: 279-292 (2014) - [j15]Alban Gaignard, Johan Montagnat, Bernard Gibaud, Germain Forestier, Tristan Glatard:
Domain-specific summarization of Life-Science e-experiments from provenance traces. J. Web Semant. 29: 19-30 (2014) - [c40]Tristan Glatard, Marc-Etienne Rousseau, Pierre Rioux, Reza Adalat, Alan C. Evans:
Controlling the Deployment of Virtual Machines on Clusters and Clouds for Scientific Computing in CBRAIN. CCGRID 2014: 384-393 - [c39]Sébastien Cipière, Guillaume Erétéo, Alban Gaignard, Nouha Boujelben, Sébastien Gaspard, Vincent Breton, Frederic Cervenansky, David R. C. Hill, Tristan Glatard, David Manset, Johan Montagnat, Jérôme Revillard, Lydia Maigne:
Global Initiative for Sentinel e-Health Network on Grid (GINSENG): Medical Data Integration and Semantic Developments for Epidemiology. CCGRID 2014: 755-763 - 2013
- [j14]Sorina Camarasu-Pop, Tristan Glatard, Rafael Ferreira da Silva, Pierre Gueth, David Sarrut, Hugues Benoit-Cattin:
Monte Carlo simulation on heterogeneous distributed systems: A computing framework with parallel merging and checkpointing strategies. Future Gener. Comput. Syst. 29(3): 728-738 (2013) - [j13]Jianwei Ma, Wanyu Liu, Tristan Glatard:
A classification of file placement and replication methods on grids. Future Gener. Comput. Syst. 29(6): 1395-1406 (2013) - [j12]Dawei Feng, Cécile Germain, Tristan Glatard:
Efficient distributed monitoring with active Collaborative Prediction. Future Gener. Comput. Syst. 29(8): 2272-2283 (2013) - [j11]Rafael Ferreira da Silva, Tristan Glatard, Frédéric Desprez:
Self-healing of workflow activity incidents on distributed computing infrastructures. Future Gener. Comput. Syst. 29(8): 2284-2294 (2013) - [j10]David Rogers, Ian Harvey, Tram Truong Huu, Kieran Evans, Tristan Glatard, Ibrahim Kallel, Ian J. Taylor, Johan Montagnat, Andrew Jones, Andrew Harrison:
Bundle and Pool Architecture for Multi-Language, Robust, Scalable Workflow Executions. J. Grid Comput. 11(3): 457-480 (2013) - [j9]Tristan Glatard, Carole Lartizien, Bernard Gibaud, Rafael Ferreira da Silva, Germain Forestier, Frederic Cervenansky, Martino Alessandrini, Hugues Benoit-Cattin, Olivier Bernard, Sorina Camarasu-Pop, Nadia Cerezo, Patrick Clarysse, Alban Gaignard, Patrick Hugonnard, Hervé Liebgott, Simon Marache, Adrien Marion, Johan Montagnat, Joachim Tabary, Denis Friboulet:
A Virtual Imaging Platform for Multi-Modality Medical Image Simulation. IEEE Trans. Medical Imaging 32(1): 110-118 (2013) - [c38]Sorina Camarasu-Pop, Tristan Glatard, Hugues Benoit-Cattin:
Simulating Application Workflows and Services Deployed on the European Grid Infrastructure. CCGRID 2013: 18-25 - [c37]Rafael Ferreira da Silva, Tristan Glatard, Frédéric Desprez:
Workflow Fairness Control on Online and Non-clairvoyant Distributed Computing Platforms. Euro-Par 2013: 102-113 - [c36]Rafael Ferreira da Silva, Tristan Glatard, Frédéric Desprez:
On-Line, Non-clairvoyant Optimization of Workflow Activity Granularity on Grids. Euro-Par 2013: 255-266 - [c35]Chris Johnson, Anastasia V. Bochenkova, Alexander A. Granovsky, Peter J. Bond, Teresa Paramo, Tristan Glatard, William A. Romero R., Denis Friboulet, Stefan J. Zasada, Peter V. Coveney:
PRACE DECI (Distributed European Computing Initiative) Minisymposium. PARCO 2013: 805-812 - [c34]Rafael Ferreira da Silva, Gideon Juve, Ewa Deelman, Tristan Glatard, Frédéric Desprez, Douglas Thain, Benjamín Tovar, Miron Livny:
Toward fine-grained online task characteristics estimation in scientific workflows. WORKS@SC 2013: 58-67 - 2012
- [c33]Rafael Ferreira da Silva, Tristan Glatard, Frédéric Desprez:
Self-Healing of Operational Workflow Incidents on Distributed Computing Infrastructures. CCGRID 2012: 318-325 - [c32]Dawei Feng, Cécile Germain-Renaud, Tristan Glatard:
Distributed Monitoring with Collaborative Prediction. CCGRID 2012: 376-383 - [c31]Rafael Ferreira da Silva, Tristan Glatard:
A Science-Gateway Workload Archive to Study Pilot Jobs, User Activity, Bag of Tasks, Task Sub-steps, and Workflow Executions. Euro-Par Workshops 2012: 79-88 - [c30]Tristan Glatard, Sílvia D. Olabarriaga, Tony Solomonides:
HealthGrid 2012. HealthGrid 2012: 3-6 - [c29]Franck Michel, Johan Montagnat, Tristan Glatard:
Technical support for Life Sciences communities on a production grid infrastructure. HealthGrid 2012: 81-90 - [c28]Bernard Gibaud, Germain Forestier, Hugues Benoit-Cattin, Frederic Cervenansky, Patrick Clarysse, Denis Friboulet, Alban Gaignard, Patrick Hugonnard, Carole Lartizien, Hervé Liebgott, Johan Montagnat, Joachim Tabary, Tristan Glatard:
OntoVIP: An Ontology for the Annotation of Object Models Used for Medical Image Simulation. HISB 2012: 110 - [c27]Tristan Glatard, Adrien Marion, Hugues Benoit-Cattin, Sorina Camarasu-Pop, Patrick Clarysse, Rafael Ferreira da Silva, Germain Forestier, Bernard Gibaud, Carole Lartizien, Hervé Liebgott, Kévin Moulin, Denis Friboulet:
Multi-modality image simulation with the Virtual Imaging Platform: Illustration on cardiac echography and MRI. ISBI 2012: 98-101 - [e2]Sandra Gesing, Tristan Glatard, Jens Krüger, Sílvia Delgado Olabarriaga, Tony Solomonides, Jonathan C. Silverstein, Johan Montagnat, Alban Gaignard, Dagmar Krefting:
HealthGrid Applications and Technologies Meet Science Gateways for Life Sciences, Proceedings of HealthGrid 2012, Amsterdam, The Netherlands, 21-23 May 2012. Studies in Health Technology and Informatics 175, IOS Press 2012, ISBN 978-1-61499-053-6 [contents] - [i1]Franck Michel, Johan Montagnat, Tristan Glatard:
Technical support for Life Sciences communities on a production grid infrastructure. CoRR abs/1203.2366 (2012) - 2011
- [j8]Tristan Glatard, Sorina Camarasu-Pop:
A model of pilot-job resource provisioning on production grids. Parallel Comput. 37(10-11): 684-692 (2011) - [c26]Germain Forestier, Adrien Marion, Hugues Benoit-Cattin, Patrick Clarysse, Denis Friboulet, Tristan Glatard, Patrick Hugonnard, Carole Lartizien, Hervé Liebgott, Joachim Tabary, Bernard Gibaud:
Sharing object models for multi-modality medical image simulation: A semantic approach. CBMS 2011: 1-6 - [c25]Adrien Marion, Germain Forestier, Hugues Benoit-Cattin, Sorina Camarasu-Pop, Patrick Clarysse, Rafael Ferreira da Silva, Bernard Gibaud, Tristan Glatard, Patrick Hugonnard, Carole Lartizien, Hervé Liebgott, Svenja Specovius, Joachim Tabary, Sébastien Valette, Denis Friboulet:
Multi-modality medical image simulation of biological models with the Virtual Imaging Platform (VIP). CBMS 2011: 1-6 - [c24]Sarra Ben Fredj, Tristan Glatard, Christopher Casta, Patrick Clarysse:
An exploration framework for segmentation parameter spaces. ICIP 2011: 2257-2260 - 2010
- [j7]Tristan Glatard, Remi S. Soleman, Dick J. Veltman, Aart J. Nederveen, Sílvia D. Olabarriaga:
Large-scale functional MRI study on a production grid. Future Gener. Comput. Syst. 26(4): 685-692 (2010) - [j6]Sorina Camarasu-Pop, Tristan Glatard, Jakub T. Moscicki, Hugues Benoit-Cattin, David Sarrut:
Dynamic Partitioning of GATE Monte-Carlo Simulations on EGEE. J. Grid Comput. 8(2): 241-259 (2010) - [j5]Sílvia D. Olabarriaga, Tristan Glatard, Piter T. de Boer:
A virtual laboratory for medical image analysis. IEEE Trans. Inf. Technol. Biomed. 14(4): 979-985 (2010) - [c23]Ting Li, Sorina Camarasu-Pop, Tristan Glatard, Thomas Grenier, Hugues Benoit-Cattin:
Optimization of Mean-Shift scale parameters on the EGEE grid. HealthGrid 2010: 203-214 - [e1]Tony Solomonides, Ignacio Blanquer, Vincent Breton, Tristan Glatard, Yannick Legré:
Healthgrid Applications and Core Technologies - Proceedings of HealthGrid 2010, University Paris XI, Orsay, Paris, France, June 28-30, 2010. Studies in Health Technology and Informatics 159, IOS Press 2010, ISBN 978-1-60750-582-2 [contents]
2000 – 2009
- 2009
- [j4]Diane Lingrand, Tristan Glatard, Johan Montagnat:
Modeling the latency on production grids with respect to the execution context. Parallel Comput. 35(10-11): 493-511 (2009) - [c22]Tristan Glatard, Sorina Camarasu-Pop:
Modelling Pilot-Job Applications on Production Grids. Euro-Par Workshops 2009: 140-149 - [c21]Ketan Maheshwari, Tristan Glatard, Joël Schaerer, Bertrand Delhay, Sorina Camarasu-Pop, Patrick Clarysse, Johan Montagnat:
Towards Production-level Cardiac Image Analysis with Grids. HealthGrid 2009: 31-40 - [c20]Sílvia Delgado Olabarriaga, Tristan Glatard, Andreas Hoheisel, Aart J. Nederveen, Dagmar Krefting:
Crossing HealthGrid Borders: Early Results in Medical Imaging. HealthGrid 2009: 62-71 - [c19]Diane Lingrand, Johan Montagnat, Tristan Glatard:
Modeling user submission strategies on production grids. HPDC 2009: 121-130 - [c18]Johan Montagnat, Benjamin Isnard, Tristan Glatard, Ketan Maheshwari, Mireille Blay-Fornarino:
A data-driven workflow language for grids based on array programming principles. SC-WORKS 2009 - 2008
- [j3]Tristan Glatard, Johan Montagnat, David Emsellem, Diane Lingrand:
A Service-Oriented Architecture enabling dynamic service grouping for optimizing distributed workflow execution. Future Gener. Comput. Syst. 24(7): 720-730 (2008) - [j2]Johan Montagnat, Tristan Glatard, Isabel Campos Plasencia, Francisco Castejón, Xavier Pennec, Giuliano Taffoni, Vladimir Voznesensky, Claudio Vuerli:
Workflow-Based Data Parallel Applications on the EGEE Production Grid Infrastructure. J. Grid Comput. 6(4): 369-383 (2008) - [j1]Tristan Glatard, Johan Montagnat, Diane Lingrand, Xavier Pennec:
Flexible and Efficient Workflow Deployment of Data-Intensive Applications On Grids With MOTEUR. Int. J. High Perform. Comput. Appl. 22(3): 347-360 (2008) - [c17]Tristan Glatard, Kamel Boulebiar, Sílvia D. Olabarriaga:
Workflow Integration in VL-e Medical. CBMS 2008: 144-146 - [c16]Tristan Glatard, Johan Montagnat, Xavier Pennec:
A Probabilistic Model to Analyse Workflow Performance on Production Grids. CCGRID 2008: 510-517 - [c15]Tristan Glatard, Johan Montagnat:
Implementation of Turing Machines with the Scufl Data-Flow Language. CCGRID 2008: 663-668 - [c14]Diane Lingrand, Johan Montagnat, Tristan Glatard:
Modeling the Latency on Production Grids with Respect to the Execution Context. CCGRID 2008: 753-758 - [c13]Tristan Glatard, Sílvia Delgado Olabarriaga:
User Friendly Management of Workflow Results: From Provenance Information to Grid Logical File Names. eScience 2008: 103-110 - [c12]Sílvia D. Olabarriaga, Tristan Glatard, Kamel Boulebiar, Piter T. de Boer:
From "Low Hanging" to "User Ready": Initial Steps into a HealthGrid. HealthGrid 2008: 70-79 - [c11]Tristan Glatard, Johan Montagnat, Xavier Pennec:
A framework for evaluating the impact of compression on registration algorithms without gold standard. ICIP 2008: 2912-2915 - 2007
- [b1]Tristan Glatard:
Description, deployment and optimization of medical image analysis workflows on production grids. (Description, déploiement et optimisation de chaînes de traitements d'analyse d'images médicales sur grilles de production). University of Nice Sophia Antipolis, France, 2007 - [c10]Clementine Nemo-Cailliau, Tristan Glatard, Mireille Blay-Fornarino, Johan Montagnat:
Merging overlapping orchestrations: an application to the Bronze Standard medical application. IEEE SCC 2007: 364-371 - [c9]Tristan Glatard, Xavier Pennec:
Optimizing jobs timeouts on clusters and production grids. CCGRID 2007: 100-107 - [c8]Tristan Glatard, Diane Lingrand, Johan Montagnat, Michel Riveill:
Impact of the execution context on Grid job performances. CCGRID 2007: 713-718 - [p1]Tristan Glatard, Gergely Sipos, Johan Montagnat, Zoltán Farkas, Péter Kacsuk:
Workflow-Level Parametric Study Support by MOTEUR and the P-GRADE Portal. Workflows for e-Science, Scientific Workflows for Grids 2007: 279-299 - 2006
- [c7]Tristan Glatard, Johan Montagnat, Xavier Pennec:
Medical image registration algorithms assesment: Bronze Standard application enactment on grids using the MOTEUR workflow engine. HealthGrid 2006: 93-103 - [c6]Tristan Glatard, Johan Montagnat, Xavier Pennec:
Efficient services composition for grid-enabled data-intensive applications. HPDC 2006: 333-334 - [c5]Tristan Glatard, Xavier Pennec, Johan Montagnat:
Performance Evaluation of Grid-Enabled Registration Algorithms Using Bronze-Standards. MICCAI (2) 2006: 152-160 - [c4]Tristan Glatard, Johan Montagnat, Xavier Pennec:
Probabilistic and Dynamic Optimization of Job Partitioning on a Grid Infrastructure. PDP 2006: 231-238 - 2005
- [c3]Tristan Glatard, Johan Montagnat, Xavier Pennec:
Grid-Enabled Workflows for Data Intensive Medical Applications. CBMS 2005: 537-542 - [c2]Cécile Germain, Vincent Breton, Patrick Clarysse, Yann Gaudeau, Tristan Glatard, Emmanuel Jeannot, Yannick Legré, Charles Loomis, Johan Montagnat, Jean-Marie Moureaux, Angel Osorio, Xavier Pennec, Romain Texier:
Grid-enabling medical image analysis. CCGRID 2005: 487-495 - 2004
- [c1]Tristan Glatard, Johan Montagnat, Isabelle E. Magnin:
Texture based medical image indexing and retrieval: application to cardiac imaging. Multimedia Information Retrieval 2004: 135-142
Coauthor Index
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