Tristan Glatard

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 73

Top Venues

CoRR

IEEE BigData

CCGRID

Frontiers Neuroinformatics

University of Nice Sophia Antipolis, France (PHD)

Education History

University of Nice Sophia Antipolis, France

PHD

Publications

Sana Ahmadi, Pierre Bellec, Tristan Glatard
Scaling up ridge regression for brain encoding in a massive individual fMRI dataset. CoRR (2024)
Gaël Vila, Emmanuel Medernach, Inés Gonzalez Pepe, Axel Bonnet, Yohan Chatelain, Michaël Sdika, Tristan Glatard, Sorina Camarasu-Pop
The Impact of Hardware Variability on Applications Packaged with Docker and Guix: a Case Study in Neuroimaging. ACM-REP (2024)
Mathieu Dugré, Yohan Chatelain, Tristan Glatard
An Analysis of Performance Bottlenecks in MRI Pre-Processing. CoRR (2024)
Elodie Germani, Nikhil Baghwat, Mathieu Dugré, Rémi Gau, Albert Montillo, Kevin P. Nguyen, Andrzej Sokolowski, Madeleine Sharp, Jean-Baptiste Poline, Tristan Glatard
Predicting Parkinson's disease trajectory using clinical and functional MRI features: a reproduction and replication study. CoRR (2024)
Mathieu Dugré, Valérie Hayot-Sasson, Tristan Glatard
Performance comparison of Dask and Apache Spark on HPC systems for Neuroimaging. CoRR (2024)
Valérie Hayot-Sasson, Tristan Glatard
Hierarchical storage management in user space for neuroimaging applications. CoRR (2024)
Martin Khannouz, Tristan Glatard
Mondrian forest for data stream classification under memory constraints. Data Min. Knowl. Discov. 38 (2) (2024)
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 (2023)
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)
Yohan Chatelain, Nigel Yong Sao Young, Gregory Kiar, Tristan Glatard
PyTracer: Automatically Profiling Numerical Instabilities in Python. IEEE Trans. Computers 72 (6) (2023)
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)
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)
Korantin Bordeau-Aubert, Justin Whatley, Sylvain Nadeau, Tristan Glatard, Brigitte Jaumard
Classification of Anomalies in Telecommunication Network KPI Time Series. CoRR (2023)
Valérie Hayot-Sasson, Mathieu Dugré, Tristan Glatard
Sea: A lightweight data-placement library for Big Data scientific computing. CoRR (2022)
Martin Khannouz, Tristan Glatard
Dynamic Ensemble Size Adjustment for Memory Constrained Mondrian Forest. Big Data (2022)
Inés Gonzalez Pepe, Yohan Chatelain, Gregory Kiar, Tristan Glatard
Numerical Stability of DeepGOPlus Inference. CoRR (2022)
Martin Khannouz, Tristan Glatard
Dynamic Ensemble Size Adjustment for Memory Constrained Mondrian Forest. CoRR (2022)
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)
Martin Khannouz, Tristan Glatard
Mondrian Forest for Data Stream Classification Under Memory Constraints. CoRR (2022)
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 (2021)
Mandana Mazaheri, Gregory Kiar, Tristan Glatard
A Recommender System for Scientific Datasets and Analysis Pipelines. WORKS (2021)
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)
Yohan Chatelain, Nigel Yong, Gregory Kiar, Tristan Glatard
PyTracer: Automatically profiling numerical instabilities in Python. CoRR (2021)
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)
H.-H. Phan-Vu, Brigitte Jaumard, Tristan Glatard, J. Whatley, S. Nadeau
A Scalable Multi-factor Fault Analysis Framework for Information Systems. IEEE BigData (2021)
Valérie Hayot-Sasson, Tristan Glatard, Ariel Rokem
The benefits of prefetching for large-scale cloud-based neuroimaging analysis workflows. WORKS (2021)
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, Francois Cotton
Multiple sclerosis lesions segmentation from multiple experts: The MICCAI 2016 challenge dataset. NeuroImage 244 (2021)
Ali Salari, Yohan Chatelain, Gregory Kiar, Tristan Glatard
Accurate Simulation of Operating System Updates in Neuroimaging Using Monte-Carlo Arithmetic. UNSURE/PIPPI@MICCAI (2021)
Marc Vicuna, Martin Khannouz, Gregory Kiar, Yohan Chatelain, Tristan Glatard
Reducing numerical precision preserves classification accuracy in Mondrian Forests. CoRR (2021)
Valérie Hayot-Sasson, Tristan Glatard, Ariel Rokem
The benefits of prefetching for large-scale cloud-based neuroimaging analysis workflows. CoRR (2021)
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 (2021)
Mandana Mazaheri, Gregory Kiar, Tristan Glatard
A Recommender System for Scientific Datasets and Analysis Pipelines. CoRR (2021)
Marc Vicuna, Martin Khannouz, Gregory Kiar, Yohan Chatelain, Tristan Glatard
Reducing numerical precision preserves classification accuracy in Mondrian Forests. IEEE BigData (2021)
Martin Khannouz, Tristan Glatard
A benchmark of data stream classification for human activity recognition on connected objects. CoRR (2020)
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 (2020)
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)
Valérie Hayot-Sasson, Shawn T. Brown, Tristan Glatard
Optane™ DC persistent memory for the parallel processing of large neuroimaging data. CCGRID (2020)
Bhupinder Kaur, Mathieu Dugré, Aiman Hanna, Tristan Glatard
An Analysis of Security Vulnerabilities in Container Images for Scientific Data Analysis. CoRR (2020)
Martin Khannouz, Tristan Glatard
A Benchmark of Data Stream Classification for Human Activity Recognition on Connected Objects. Sensors 20 (22) (2020)
Antoine Hébert, Ian Marineau, Gilles Gervais, Tristan Glatard, Brigitte Jaumard
Can we Estimate Truck Accident Risk from Telemetric Data using Machine Learning? CoRR (2020)
Antoine Hébert, Timothée Guédon, Tristan Glatard, Brigitte Jaumard
High-Resolution Road Vehicle Collision Prediction for the City of Montreal. IEEE BigData (2019)
Valérie Hayot-Sasson, Tristan Glatard
Evaluation of pilot jobs for Apache Spark applications on HPC clusters. CoRR (2019)
Akbar Dehghani, Tristan Glatard, Emad Shihab
Subject Cross Validation in Human Activity Recognition. CoRR (2019)
Martin Khannouz, Bo Li, Tristan Glatard
OrpailleCC: a Library for Data Stream Analysis on Embedded Systems. J. Open Source Softw. 4 (39) (2019)
Gregory Kiar, Shawn T. Brown, Tristan Glatard, Alan C. Evans
A Serverless Tool for Platform Agnostic Computational Experiment Management. Frontiers Neuroinformatics 13 (2019)
Mathieu Dugré, Valérie Hayot-Sasson, Tristan Glatard
A performance comparison of Dask and Apache Spark for data-intensive neuroimaging pipelines. CoRR (2019)
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) (2019)
Mathieu Dugré, Valérie Hayot-Sasson, Tristan Glatard
A Performance Comparison of Dask and Apache Spark for Data-Intensive Neuroimaging Pipelines. WORKS@SC (2019)
Valérie Hayot-Sasson, Shawn T. Brown, Tristan Glatard
Performance Evaluation of Big Data Processing Strategies for Neuroimaging. CCGRID (2019)
Antoine Hébert, Timothée Guédon, Tristan Glatard, Brigitte Jaumard
High-Resolution Road Vehicle Collision Prediction for the City of Montreal. CoRR (2019)
Valérie Hayot-Sasson, Tristan Glatard
Evaluation of Pilot Jobs for Apache Spark Applications on HPC Clusters. eScience (2019)
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 (2019)
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 (2019)
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 (2019)
Victor Molina, Marta Kersten-Oertel, Tristan Glatard
A Conceptual Marketplace Model for IoT Generated Personal Data. CoRR (2019)
Bo Li, Omid Sarbishei, Hosein Nourani, Tristan Glatard
A multi-dimensional extension of the Lightweight Temporal Compression method. IEEE BigData (2018)
Monika Sharma, Tristan Glatard, Éric Gélinas, Mariam Tagmouti, Brigitte Jaumard
Data models for service failure prediction in supply-chain networks. CoRR (2018)
Sílvia Delgado Olabarriaga, Dagmar Krefting, Tristan Glatard
Special isssue of the CCGrid-Life workshop 2017. Concurr. Comput. Pract. Exp. 30 (12) (2018)
Soudabeh Barghi, Lalet Scaria, Ali Salari, Tristan Glatard
Predicting computational reproducibility of data analysis pipelines in large population studies using collaborative filtering. CoRR (2018)
Valérie Hayot-Sasson, Shawn T. Brown, Tristan Glatard
Performance Evaluation of Big Data Processing Strategies for Neuroimaging. CoRR (2018)
Gregory Kiar, Shawn T. Brown, Tristan Glatard, Alan C. Evans
A Serverless Tool for Platform Agnostic Computational Experiment Management. CoRR (2018)
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 (2018)
Monika Sharma, Tristan Glatard, Éric Gélinas, Mariam Tagmouti, Brigitte Jaumard
Service failure prediction in supply-chain networks. IEEE BigData (2018)
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)
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)
Bo Li, Omid Sarbishei, Hosein Nourani, Tristan Glatard
A multi-dimensional extension of the Lightweight Temporal Compression method. CoRR (2018)
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)
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 (2017)
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 (2017)
Valérie Hayot-Sasson, Yongping Gao, Yuhong Yan, Tristan Glatard
Sequential algorithms to split and merge ultra-high resolution 3D images. IEEE BigData (2017)
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 (2016)
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 (2016)
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 (2016)
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) (2015)
Tristan Glatard, Alan C. Evans
Classifications of Computing Sites to Handle Numerical Variability. CCGRID (2015)
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 (2014)
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 (2014)
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) (2014)
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)
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)
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 (2014)
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 (2014)
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)
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) (2013)
Jianwei Ma, Wanyu Liu, Tristan Glatard
A classification of file placement and replication methods on grids. Future Gener. Comput. Syst. 29 (6) (2013)
Rafael Ferreira da Silva, Tristan Glatard, Frédéric Desprez
Self-healing of workflow activity incidents on distributed computing infrastructures. Future Gener. Comput. Syst. 29 (8) (2013)
Rafael Ferreira da Silva, Tristan Glatard, Frédéric Desprez
Workflow Fairness Control on Online and Non-clairvoyant Distributed Computing Platforms. Euro-Par (2013)
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)
David H. 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) (2013)
Dawei Feng, Cécile Germain, Tristan Glatard
Efficient distributed monitoring with active Collaborative Prediction. Future Gener. Comput. Syst. 29 (8) (2013)
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) (2013)
Rafael Ferreira da Silva, Tristan Glatard, Frédéric Desprez
On-Line, Non-clairvoyant Optimization of Workflow Activity Granularity on Grids. Euro-Par (2013)
Sorina Camarasu-Pop, Tristan Glatard, Hugues Benoit-Cattin
Simulating Application Workflows and Services Deployed on the European Grid Infrastructure. CCGRID (2013)
Franck Michel, Johan Montagnat, Tristan Glatard
Technical support for Life Sciences communities on a production grid infrastructure. HealthGrid (2012)
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)
Franck Michel, Johan Montagnat, Tristan Glatard
Technical support for Life Sciences communities on a production grid infrastructure CoRR (2012)
Dawei Feng, Cécile Germain-Renaud, Tristan Glatard
Distributed Monitoring with Collaborative Prediction. CCGRID (2012)
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)
Rafael Ferreira da Silva, Tristan Glatard, Frédéric Desprez
Self-Healing of Operational Workflow Incidents on Distributed Computing Infrastructures. CCGRID (2012)
Tristan Glatard, Sílvia D. Olabarriaga, Tony Solomonides
HealthGrid 2012. HealthGrid (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tristan Glatard