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<!DOCTYPE html>
<html lang="en">
<head>
<title>Welcome to /bin</title>
</head>
<body>
<div id="header"></div><br />
<div class="container">
<!-- your content starts here-->
<div class="row tall-row">
<div class="col-lg-12">
<h1> Publications </h1>
<hr>
</div>
</div>
(since 2017)
<div class="publication-logo">
<h2>Pre-prints</h2>
<ul>
<li>
<p>The impact of FreeSurfer versions on structural neuroimaging analyses of Parkinson's disease</p>
Andrzej Sokołowski, Nikhil Bhagwat, Dimitrios Kirbizakis, Yohan Chatelain, Mathieu Dugré, Jean-Baptiste Poline, Madeleine Sharp, Tristan Glatard<br/>
<a href="https://www.biorxiv.org/content/10.1101/2024.11.11.623071v1" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p>Training Compute-Optimal Vision Transformers for Brain Encoding</p>
Sana Ahmadi, Francois Paugam, Tristan Glatard, Pierre Lune Bellec<br/>
<a href="https://arxiv.org/abs/2410.19810" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p>An Analysis of Performance Bottlenecks in MRI Pre-Processing</p>
Mathieu Dugré, Yohan Chatelain, Tristan Glatard<br/>
<a href="https://arxiv.org/pdf/2405.17650" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p>Open-source tools and platforms to investigate analytical variability in neuroimaging</p>
Jacob Sanz-Robinson, Michelle Wang, Brent McPherson, Tristan Glatard, Jean-Baptiste Poline<br/>
<a href="https://osf.io/preprints/osf/4xewj" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p>Hierarchical storage management in user space for neuroimaging applications</p>
Valérie Hayot-Sasson, Tristan Glatard<br/>
<a href="https://arxiv.org/abs/2404.11556" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p>Scaling up ridge regression for brain encoding in a massive individual fMRI dataset</p>
Sana Ahmadi, Pierre Bellec, Tristan Glatard<br/>
<a href="https://arxiv.org/abs/2403.19421" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p>Predicting Parkinson's disease trajectory using clinical and functional MRI features: a reproduction and replication study</p>
Elodie Germani, Nikhil Baghwat, Mathieu Dugré, Rémi Gau, Albert Montillo, Kevin Nguyen, Andrzej Sokolowski, Madeleine Sharp, Jean-Baptiste Poline, Tristan Glatard<br/>
<a href="https://inserm.hal.science/inserm-04465765" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p>Classification of Anomalies in Telecommunication Network KPI Time Series</p>
Korantin Bordeau-Aubert, Justin Whatley, Sylvain Nadeau, Tristan Glatard, Brigitte Jaumard<br/>
<a href="https://arxiv.org/pdf/2308.16279" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p>Predicting Parkinson's disease progression using MRI-based white matter radiomic biomarker and machine learning: a reproducibility and replicability study</p>
Mohanad Arafe, Nikhil Parag Bhagwat, Yohan Chatelain, Mathieu Dugré, Andrzej Sokolowski, Michelle Wang, Yiming Xiao, Madeleine Sharp, Jean-Baptiste Poline, Tristan Glatard<br/>
<a href="https://www.biorxiv.org/content/10.1101/2023.05.05.539590v1" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p>Sea: A lightweight data-placement library for Big Data scientific computing</p>
Valérie Hayot-Sasson, Mathieu Dugré, Tristan Glatard<br/>
<a href="https://arxiv.org/pdf/2207.01737" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p> A Conceptual Marketplace Model for IoT Generated Personal Data</p>
Victor Molina, Marta Kersten-Oertel, Tristan Glatard<br/>
<a href="https://arxiv.org/pdf/1907.03047" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
</ul>
<h2>Published papers</h2>
(including contributions from lab members as co-authors)
<ul>
<li>
<p>Why experimental variation in neuroimaging should be embraced</p>
Gregory Kiar, Jeanette A. Mumford, Ting Xu, Joshua T. Vogelstein, Tristan Glatard, Michael P. Milham<br/>
<u>Nature Communications</u>, 15, 9411 (2024)</br>
<a href="https://www.nature.com/articles/s41467-024-53743-y" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p>A numerical variability approach to results stability tests and its application to neuroimaging</p>
Yohan Chatelain, Loïc Tetrel, Christopher J. Markiewicz, Mathias Goncalves, Gregory Kiar, Oscar Esteban, Pierre Bellec, Tristan Glatard<br/>
<u>IEEE Transactions on Computers</u>, 2024, to appear</br>
<a href="https://arxiv.org/pdf/2307.01373" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p>The Impact of Hardware Variability on Applications Packaged with Docker and Guix: a Case Study in Neuroimaging</p>
Gaël Vila, Emmanuel Medernach, Inés Gonzalez Pepe, Axel Bonnet, Yohan Chatelain, Michaël Sdika, Tristan Glatard, Sorina Camarasu-Pop<br/>
<u>2024 ACM Conference on Reproducibility and Replicability</u>, 2024<br/>
<a href="https://hal.science/hal-04480308" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p>Longitudinal brain structure changes in Parkinson's disease: a replication study</p>
Andrzej Sokołowski, Nikhil Bhagwat, Yohan Chatelain, Mathieu Dugré, Alexandru Hanganu, Oury Monchi, Brent McPherson, Michelle Wang, Jean-Baptiste Poline, Madeleine Sharp, Tristan Glatard<br/>
<u>PLOS ONE</u>, 2024<br/>
<a href="https://www.biorxiv.org/content/10.1101/2023.04.28.538743v1" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p>Numerical Stability of DeepGOPlus Inference</p>
Inés Gonzalez Pepe, Yohan Chatelain, Gregory Kiar, Tristan Glatard<br/>
To appear in <u>PLOS ONE</u>, 2024<br/>
<a href="https://arxiv.org/abs/2212.06361" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p>Numerical Uncertainty of Convolutional Neural Networks Inference for Structural Brain MRI Analysis</p>
Inés Gonzalez Pepe, Vinuyan Sivakolunthu, Hae Lang Park, Yohan Chatelain, Tristan Glatard</br>
<u>2023 MICCAI workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (UNSURE 2023)</u><br/>
<a href="https://arxiv.org/pdf/2308.01939.pdf" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p>Mondrian Forest for Data Stream Classification Under Memory Constraints</p>
Martin Khannouz, Tristan Glatard<br/>
<u>Data Mining and Knowledge Discovery</u> (to appear, 2023)<br/>
<a href="https://arxiv.org/abs/2205.07871" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li><p>Reproducibility of Tumor Segmentation Outcomes with a Deep Learning Model</p>
Morgane des Ligneris, Axel Bonnet, Yohan Chatelain, Tristan Glatard, Micha ̈el Sdika,
Gaël Vila, Valentine Wargnier-Dauchelle, Sorina Pop, and Carole Frindel<br/>
<u>2023 International Symposium on Biomedical Imaging</u></li>
<a href="https://hal.science/hal-04006057/document" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p>PyTracer: Automatically profiling numerical instabilities in Python</p>
Yohan Chatelain, Nigel Yong, Gregory Kiar, Tristan Glatard<br/>
<u>IEEE Transactions on Computers, 2022</u>
<a href="https://arxiv.org/pdf/2112.11508" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li><p>Dynamic Ensemble Size Adjustment for Memory Constrained Mondrian Forest</p>
Martin Khannouz, Tristan Glatard<br/>
<u>7th Workshop
on Real-time Stream Analytics,
Stream Mining, CER/CEP
& Stream Data Management
in Big Data, Osaka, 2022</u><br/>
<a href="https://arxiv.org/pdf/2210.05704" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p>NeuroCI: Continuous Integration of Neuroimaging Results Across Software Pipelines and Datasets</p>
Jacob Sanz-Robinson, Arman Jahanpour, Natalie Phillips, Tristan Glatard, Jean-Baptiste Poline<br/>
<u>IEEE eScience 2022</u><br/>
<a href="https://www.biorxiv.org/content/10.1101/2022.05.30.494062v1" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li><p>A Scalable Multi-factor Fault Analysis Framework for Information Systems</p>
H.H. Phan-Vu, B. Jaumard, T. Glatard, J. Whatley and S. Nadeau<br/>
<u></u>2021 IEEE International Conference on Big Data (Big Data)</u>, Orlando, FL, USA, 2021, pp. 2621-2630<br/>
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9671747" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p>Reducing numerical precision preserves classification accuracy in Mondrian Forests</p>
Marc Vicuna, Martin Khannouz, Gregory Kiar, Yohan Chatelain, Tristan Glatard<br/>
<u>6th Workshop on Real-time Stream Analytics, Stream Mining, CER/CEP & Stream Data Management in Big Data</u>, 2021<br/>
<a href="https://arxiv.org/pdf/2106.14340" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p>Can we Estimate Truck Accident Risk from Telemetric Data using Machine Learning?</p>
Antoine Hébert, Ian Marineau, Gilles Gervais, Tristan Glatard, Brigitte Jaumard<br/>
<u>2021 IEEE International Conference on Big Data</u>, 2021<br/>
<a href="https://arxiv.org/pdf/2007.09167" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li><p>Data and Tools Integration in the Canadian Open Neuroscience Platform</p>
Jean-Baptiste Poline, Samir Das, Tristan Glatard, Cécile Madjar, <i>et al.</i><br/>
to appear in <u>Scientific Data</u>, 2021
</li>
<li>
<p>The benefits of prefetching for large-scale cloud-based neuroimaging analysis workflows</p>
Valerie Hayot-Sasson, Tristan Glatard, Ariel Rokem<br/>
<u>16th Workshop on Workflows in Support of Large-Scale Science</u>, 2021<br/>
<a href="http://arxiv.org/abs/2108.10496" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p>A Recommender System for Scientific Datasets and Analysis Pipelines</p>
Mandana Mazaheri, Gregory Kiar, Tristan Glatard<br/>
<u>16th Workshop on Workflows in Support of Large-Scale Science</u>, 2021<br/>
<a href="https://arxiv.org/abs/2108.09275" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p> Numerical Instabilities in Analytical Pipelines Lead to Large and Meaningful Variability in Brain Networks</p>
Gregory Kiar, Yohan Chatelain, Pablo de Oliveira Castro, Eric Petit, Ariel Rokem, Gaël Varoquaux, Bratislav Misic, Alan C. Evans, Tristan Glatard<br/>
<u>PLOS ONE</u>, to appear, 2021<br/>
<a href="https://www.biorxiv.org/content/10.1101/2020.10.15.341495v1" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p>Accurate simulation of operating system updates in neuroimaging using Monte-Carlo arithmetic</p>
Ali Salari, Yohan Chatelain, Gregory Kiar, Tristan Glatard<br/>
<u>2021 MICCAI workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (UNSURE 2021)</u><br/>
<a href="https://arxiv.org/pdf/2108.03129" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p>Centering inclusivity in the design of online conferences—An OHBM–Open Science perspective </p>
Elizabeth Levitis, Cassandra D Gould van Praag, Rémi Gau <i>et al.</i><br/>
<u>GigaScience</u>, 10(8), giab051.<br/>
<a href="https://doi.org/10.1093/gigascience/giab051" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p>Data Augmentation Through Monte Carlo Arithmetic Leads to More Generalizable Classification in Connectomics</p>
Gregory Kiar, Yohan Chatelain, Ali Salari, Alan C Evans, Tristan Glatard<br/>
<u>Neurons, Behavior, Data Analysis and Theory</u>, 2021<br/>
<a href="https://www.biorxiv.org/content/10.1101/2020.12.16.423084v1" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p>Brainhack: Developing a culture of open, inclusive, community-driven neuroscience</p>
Rémi Gau, Stephanie Noble, Katja Heuer, Katherine L Bottenhorn, <i>et al.</i><br/>
<u>Neuron</u>, 109(11), pp 1769-1775, 2021<br/>
<a href="https://www.cell.com/neuron/pdfExtended/S0896-6273(21)00231-2" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
</li>
<li>
<p>Modeling the Linux page cache for accurate simulation of data-intensive applications</p>
Hoang-Dung Do, Valerie Hayot-Sasson, Rafael Ferreira da Silva, Christopher Steele, Henri Casanova, Tristan Glatard<br/>
to appear in <u>IEEE Cluster 2021</u><br/>
<a href="https://arxiv.org/pdf/2101.01335" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p>An Analysis of Security Vulnerabilities in Container Images for Scientific Data Analysis</p>
Bhupinder Kaur, Mathieu Dugré, Aiman Hanna, Tristan Glatard<br/>
<u>GigaScience</u>, Volume 10, Issue 6, June 2021, giab025.</br>
<a href="https://academic.oup.com/gigascience/article/10/6/giab025/6291571?login=true" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p> A benchmark of data stream classification for human activity recognition on connected objects</p>
Martin Khannouz, Tristan Glatard<br/>
<u>Sensors</u>, 2020, 20(22), 6486.</br>
<a href="https://www.mdpi.com/1424-8220/20/22/6486/htm" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p>File-based localization of numerical perturbations in data analysis pipelines</p>
Ali Salari, Gregory Kiar, Lindsay Lewis, Alan C. Evans, Tristan Glatard<br/>
<u>Giga Science</u>, Volume 9, Issue 12, December 2020.</br>
<a href="https://academic.oup.com/gigascience/article/9/12/giaa106/6017473" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p>Variability in the analysis of a single neuroimaging dataset by many teams</p>
Rotem Botvinik-Nezer, Felix Holzmeister, Colin F. Camerer <i>et al.</i><br/>
<u>Nature</u>, 582, 84-88 (2020).<br/>
<a href="https://doi.org/10.1101/843193" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
<a href="https://www.nature.com/articles/s41586-020-2314-9" target="_blank"><img src="images/logo_pdf.png" alt="pdf">($)</a>
</li>
<li>
<p>Comparing Perturbation Models for Evaluating Stability of Post-Processing Pipelines in Neuroimaging</p>
Gregory Kiar, Pablo de Oliveira Castro, Pierre Rioux, Eric Petit, Shawn T. Brown, Alan C. Evans, Tristan Glatard<br/>
<u>International Journal of High-Performance Computing Applications</u>, May 21, 2020, arXiv:1908.10922.<br/>
<a href="https://journals.sagepub.com/doi/full/10.1177/1094342020926237" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p>Performance benefits of Intel® Optane™ DC persistent memory for the parallel processing of large neuroimaging data</p>
Valerie Hayot-Sasson, Shawn T Brown, Tristan Glatard<br/>
<u>IEEE/ACM CCGrid 2020</u>, arXiv:1912.11794.<br/>
<a href="https://arxiv.org/pdf/1912.11794" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li><p>A Quantitative Comparison of Overlapping and Non-Overlapping Sliding Windows for Human Activity Recognition Using Inertial Sensors</p>
Akbar Dehghani, Omid Sarbishei, Tristan Glatard, Emad Shihab<br/>
<u>Sensors 2019, 19(22), 5026</u>
<a href="https://www.mdpi.com/1424-8220/19/22/5026/htm" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li><p>High-Resolution Road Vehicle Collision Prediction for the City of Montreal</p>
Antoine Hébert, Timothée Guédon, Tristan Glatard, Brigitte Jaumard<br/>
<u>2019 IEEE International Conference on Big Data</u>, arXiv:1905.08770.
<a href="https://github.com/hantoine/accident-prediction-montreal-paper/" target="_blank"><img src="images/logo_github.png" alt="github"></a>
<a href="https://arxiv.org/pdf/1905.08770" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li>
<p>A performance comparison of Dask and Apache Spark for data-intensive neuroimaging pipelines</p>
Mathieu Dugré, Valérie Hayot-Sasson, Tristan Glatard<br/>
<u>14th Workshop on Workflows in Support of Large-Scale Science - WORKS 2019</u>, in conjunction with Supercomputing'19, arXiv:1907.13030.<br/>
<a href="http://arxiv.org/pdf/1907.13030" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li><p>OrpailleCC: a Library for Data Stream Analysis on Embedded Systems</p>
Martin Khannouz, Bo Li, Tristan Glatard<br/>
<u>Journal of Open-Source Software, 2019</u>.<br/>
<a href="https://github.com/big-data-lab-team/OrpailleCC" target="_blank"><img src="images/logo_github.png" alt="github"></a>
</li>
<li><p>Evaluation of pilot jobs for Apache Spark applications on HPC clusters</p>
Valerie Hayot-Sasson, Tristan Glatard, <u>IEEE eScience 2019</u><br/>
<a href="https://github.com/big-data-lab-team/spa" target="_blank"><img src="images/logo_github.png" alt="github"></a>
<a href="https://arxiv.org/pdf/1905.12720" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li><p>Performance Evaluation of Big Data Processing Strategies for Neuroimaging</p>
Valérie Hayot-Sasson, Shawn T Brown, Tristan Glatard<br/>
arXiv:1812.06492, <u>IEEE/ACM CCGrid 2019</u>.<br/>
<a href="https://github.com/big-data-lab-team/paper-in-mem-locality" target="_blank"><img src="images/logo_github.png" alt="github"></a>
<a href="https://arxiv.org/pdf/1812.06492" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li><p>A Serverless Tool for Platform Agnostic Computational Experiment Management</p>
Gregory Kiar, Shawn T Brown, Tristan Glatard, Alan C Evans<br/>
arXiv:1809.07693, <u>Frontiers in Neuroinformatics, vol 13, 2019</u>.<br/>
<a href="https://arxiv.org/pdf/1809.07693" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li><p>A multi-dimensional extension of the Lightweight Temporal Compression method</p>
Bo Li, Omid Sarbishei, Hosein Nourani, Tristan Glatard<br/>
<u>3rd Workshop on Real-time and Stream Analytics in Big Data & Stream Data Management</u>, in conjunction with IEEE Big Data 2018.<br/>
<a href="https://github.com/big-data-lab-team/paper-multidimensional-ltc" target="_blank"><img src="images/logo_github.png" alt="github"></a>
<a href="https://github.com/big-data-lab-team/paper-multidimensional-ltc/releases/download/0.1/paper.pdf" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li><p>Data models for service failure prediction in supply-chain networks</p>
Monika Sharma, Tristan Glatard, Éric Gélinas, Mariam Tagmouti, Brigitte Jaumard<br/>
<u>2018 IEEE International Conference on Big Data</u>.<br/>
<a href="https://arxiv.org/pdf/1810.09944" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li><p>Predicting computational reproducibility of data analysis pipelines
in large population studies using collaborative filtering</p>
Soudabeh Barghi, Lalet Scaria, Ali Salari, Tristan Glatard<br/>
<u>2018 IEEE International Conference on Big Data</u>.<br/>
<a href="https://github.com/big-data-lab-team/paper-reproducibility-collaborative-filtering" target="_blank"><img src="images/logo_github.png" alt="github"></a>
<a href="https://github.com/big-data-lab-team/paper-reproducibility-collaborative-filtering/releases/download/0.1.2/paper.pdf" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li><p>Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure</p>
Olivier Commowick, Audrey Istace, Michaël Kain, Baptiste Laurent, Florent Leray, Mathieu Simon, Roxana Améli, Jean-Christophe Ferré,
Thomas Tourdias, Frédéric Cervenansky, Tristan Glatard, Jérémy
Beaumont, Senan Doyle, Florence Forbes, Jesse Knight, April Khademi,
Amirreza Mahbod, Chunliang Wang, Richard McKinley, Franca Wagner,
John Muschelli, Elizabeth Sweeney, Eloy Roura, Xavier Lladó, Michel M.
Santos, Wellington P. Santos, Abel G. Silva-Filho, Xavier
Tomas-Fernandez, Hélène Urien, Isabelle Bloch, Sergi Valverde, Mariano
Cabezas, Francisco Javier Vera-Olmos, Norberto Malpica, Charles
Guttmann, Sandra Vukusic, Gilles Edan, Michel Dojat, Martin Styner,
Simon K. Warfield, François Cotton, Christian Barillot<br/>
<u>Scientific Reports volume 8</u>, Article number: 13650 (2018).<br/>
<a href="https://www.nature.com/articles/s41598-018-31911-7" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li><p>Evaluation through Realistic Simulations of Data Placement Strategies for Large Heterogeneous Distributed Systems</p>
Anchen Chai, Sorina Camarasu-Pop, Tristan Glatard, Hugues Benoit-Cattin, and Frédéric Suter<br/>
<u>Sixteenth International Workshop for Parallel Computing on Heterogeneous Platforms</u> (HeteroPar'2018), August 27th, 2018, Turin, Italy<br/>
Best paper from the best Euro-Par 2018 workshop award <img src="images/icon_explosion.png" alt=":)"/>
</li>
<li><p>The first MICCAI challenge on PET tumor segmentation</p>
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, Michael Kain, Yao Yao, Christian Barillot, Assen
Kirov, Dimitris Visvikis<br/>
<u>Medical Image Analysis</u>, 44 (2018) 177–195.<br/>
<a href="https://hal.archives-ouvertes.fr/hal-01659162/file/manuscript_final.pdf" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</li>
<li><p>Boutiques: a flexible framework to integrate command-line applications in computing platforms</p>
Tristan Glatard, Gregory Kiar, Tristan Aumentado-Armstrong, Natacha Beck,
Pierre Bellec, Rémi Bernard, Axel Bonnet, Shawn T Brown,
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<br/>
<u>GigaScience</u>, Volume 7, Issue 5, 1 May 2018.<br/>
<a href="https://academic.oup.com/gigascience/article/7/5/giy016/4951979" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
<a href="https://github.com/boutiques/boutiques-paper" target="_blank"><img src="images/logo_github.png" alt="github"></a></li>
<li><p>Sequential algorithms to split and merge ultra-high resolution 3D images</p>
Valérie Hayot-Sasson, Yongping Gao, Yuhong Yan, Tristan Glatard<br/>
<u>2017 IEEE International Conference on Big Data</u>, Boston, MA, 2017, pp. 415-424.<br/>
<a href="https://github.com/big-data-lab-team/paper-sequential-split-merge/files/1467700/paper.pdf" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
<a href="https://github.com/big-data-lab-team/paper-sequential-split-merge" target="_blank"><img src="images/logo_github.png" alt="github"></a></li>
<li><p>Software architectures to integrate workflow engines in science gateways</p>
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, Silvia D. Olabarriaga, Pierre Bellec, Alan C. Evans</br><u>Future Generation Computer Systems</u>, Volume 75, October 2017, Pages 239-255.</br>
<a href="http://dx.doi.org/10.1016/j.future.2017.01.005" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
<a href="https://github.com/glatard/FGCS-works-special-issue" target="_blank"><img src="images/logo_github.png" alt="github"></a></li>
<li><p>Modeling Distributed Platforms from Application Traces for Realistic File Transfer Simulation</p>
Anchen Chai, Mohammad Bazm, Sorina Camarasu-Pop, Tristan Glatard, Hugues Benoit-Cattin, Frédéric Suter</br><u>17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), Madrid, Spain,</u> pp. 54-63., 2017.</br>
<a href="https://hal.inria.fr/hal-01452694" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
<li><p>Standards for Best Practices in Data Analysis and Sharing in Neuroimaging using MRI</p>
Thomas E. Nichols, Samir Das, Simon B. Eickhoff, Alan C. Evans, Tristan Glatard, Michael Hanke, Nikolaus Kriegeskorte, Michael P. Milham, Russell A. Poldrack, Jean-Baptiste Poline, Erika Proal, Bertrand Thirion, David C. Van Essen, Tonya White, B.T. Thomas Yeo</br><u>Nature Neuroscience 20, 299-303, 2017.</u></br>
<a href="http://em.rdcu.be/wf/click?upn=KP7O1RED-2BlD0F9LDqGVeSHRxMHALi-2BpSB-2BmFyjtHuPU-3D_yGoATK-2B0wnFzFnevz7RZSdjiFuiUCxFktgdPif6L9AYwM5An024852YQ9DdQ1x5xEJ8z844h3olaprIKcjC0dX1DMaCnz7hdbv63HZ28-2BHGcenASAT9R5OQ0gB1vwrYfOFsWG5OnALsqTrCI1n8iqdjvQKHOfwNHXuhbSNGLXUD-2FFcTLn73ACNnb3mGfnnj3ziTecE7giZSO5oSveeTf9lbufoLZvXFu-2BwMCFhdbhKo-3D" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
<li><p>Cyberinfrastructure for Open Science at the Montreal Neurological Institute</p>
S. Das, T. Glatard, C. Rogers, J. Saigle, S. Paiva, L. MacIntyre, M. Safi-Harab, M.-E. Rousseau, J. Stirling, N. Khalili-Mahani, D. MacFarlane, P. Kostopoulos, P. Rioux, C. Madjar, X. Lecours-Boucher, S. Vanamala, R. Adalat, Z. Mohaddes, V. S. Fonov, S. Milot, I.R. Leppert, C., T. M Durcan, T. Campbell, J. Moreau, A. Dagher, D L. Collins, J. Karamchandani, A. Bar-Or, E. A Fon, R. Hoge, S. Baillet, G. Rouleau, A. C. Evans</br><u>Frontiers in Neuroinformatics</u>, 10:53, 2017</br>
<a href="http://journal.frontiersin.org/article/10.3389/fninf.2016.00053" target="_blank"><img src="images/logo_pdf.png" alt="pdf"></a>
</ul>
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<h2>Before 2017</h2>
See <a href ="https://users.encs.concordia.ca/~tglatard/">here</a>.
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