Gregory Kiar

28 papers Journal 24Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Numerical Variability Approach to Results Stability Tests and Its Application to Neuroimaging.
IEEE Trans. Computers
Yohan Chatelain, Loïc Tetrel, Christopher J. Markiewicz, Mathias Goncalves, Gregory Kiar, Oscar Esteban, Pierre Bellec, Tristan Glatard
2025 J jnl
ActiSleep Tracker: a Python-based dashboard for adjusting automatic sleep predictions of actigraphy data.
J. Open Source Softw.
Nathalia Bianchini Esper, Reinder Vos de Wael, Larissa Hunt, Céline Vetter, Andrew Leroux, Vadim Zipunnikov, John Vito d'Antonio-Bertagnolli, Michelle Freund, Kathleen R. Merikangas, Michael P. Milham, Gregory Kiar, Alexandre Rosa Franco
2025 J jnl
wristpy: Fast, User-Friendly Python Processing of Wrist-worn Accelerometer Data.
J. Open Source Softw.
Adam Santorelli, Freymon Perez, Reinder Vos de Wael, Florian Rupprecht, John Vito d'Antonio-Bertagnolli, Alexandre R. Franco, Gregory Kiar
2023 J jnl
A Parameter-efficient Multi-subject Model for Predicting fMRI Activity.
CoRR
Connor Lane, Gregory Kiar
2023 J jnl
A numerical variability approach to results stability tests and its application to neuroimaging.
CoRR
Yohan Chatelain, Loïc Tetrel, Christopher J. Markiewicz, Mathias Goncalves, Gregory Kiar, Oscar Esteban, Pierre Bellec, Tristan Glatard
2023 J jnl
PyTracer: Automatically Profiling Numerical Instabilities in Python.
IEEE Trans. Computers
Yohan Chatelain, Nigel Yong Sao Young, Gregory Kiar, Tristan Glatard
2022 J jnl
Numerical Stability of DeepGOPlus Inference.
CoRR
Inés Gonzalez Pepe, Yohan Chatelain, Gregory Kiar, Tristan Glatard
2022 J jnl
Pipeline-Invariant Representation Learning for Neuroimaging.
CoRR
Xinhui Li, Alex Fedorov, Mrinal Mathur, Anees Abrol, Gregory Kiar, Sergey M. Plis, Vince D. Calhoun
2021 — conf
A Recommender System for Scientific Datasets and Analysis Pipelines.
WORKS
Mandana Mazaheri, Gregory Kiar, Tristan Glatard
2021 J jnl
A Recommender System for Scientific Datasets and Analysis Pipelines.
CoRR
Mandana Mazaheri, Gregory Kiar, Tristan Glatard
2021 — conf
Accurate Simulation of Operating System Updates in Neuroimaging Using Monte-Carlo Arithmetic.
UNSURE/PIPPI@MICCAI
Ali Salari, Yohan Chatelain, Gregory Kiar, Tristan Glatard
2021 J jnl
Data Augmentation Through Monte Carlo Arithmetic Leads to More Generalizable Classification in Connectomics.
CoRR
Gregory Kiar, Yohan Chatelain, Ali Salari, Alan C. Evans, Tristan Glatard
2021 J jnl
Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics.
PLoS Comput. Biol.
Eric W. Bridgeford, Shangsi Wang, Zeyi Wang, Ting Xu, R. Cameron Craddock, Jayanta Dey, Gregory Kiar, William R. Gray Roncal, Carlo Colantuoni, Christopher Douville, Stephanie Noble, Carey E. Priebe, Brian Caffo, Michael P. Milham, Xi-Nian Zuo, Joshua T. Vogelstein
2021 J jnl
PyTracer: Automatically profiling numerical instabilities in Python.
CoRR
Yohan Chatelain, Nigel Yong, Gregory Kiar, Tristan Glatard
2021 — conf
Reducing numerical precision preserves classification accuracy in Mondrian Forests.
IEEE BigData
Marc Vicuna, Martin Khannouz, Gregory Kiar, Yohan Chatelain, Tristan Glatard
2021 J jnl
Reducing numerical precision preserves classification accuracy in Mondrian Forests.
CoRR
Marc Vicuna, Martin Khannouz, Gregory Kiar, Yohan Chatelain, Tristan Glatard
2020 J jnl
A Quantitative EEG Toolbox for the MNI Neuroinformatics Ecosystem: Normative SPM of EEG Source Spectra.
Frontiers Neuroinformatics
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
2020 J jnl
Brain status modeling with non-negative projective dictionary learning.
NeuroImage
Mingli Zhang, Christian Desrosiers, Yuhong Guo, Budhachandra S. Khundrakpam, Noor Al-Sharif, Gregory Kiar, Pedro A. Valdés-Sosa, Jean-Baptiste Poline, Alan C. Evans
2020 J jnl
Comparing perturbation models for evaluating stability of neuroimaging pipelines.
Int. J. High Perform. Comput. Appl.
Gregory Kiar, Pablo de Oliveira Castro, Pierre Rioux, Eric Petit, Shawn T. Brown, Alan C. Evans, Tristan Glatard
2020 — conf
Deploying large fixed file datasets with SquashFS and Singularity.
PEARC
Pierre Rioux, Gregory Kiar, Alexandre Hutton, Alan C. Evans, Shawn T. Brown
2020 J jnl
Deploying large fixed file datasets with SquashFS and Singularity.
CoRR
Pierre Rioux, Gregory Kiar, Alexandre Hutton, Alan C. Evans, Shawn T. Brown
2019 J jnl
A Serverless Tool for Platform Agnostic Computational Experiment Management.
Frontiers Neuroinformatics
Gregory Kiar, Shawn T. Brown, Tristan Glatard, Alan C. Evans
2019 J jnl
Comparing Perturbation Models for Evaluating Stability of Post-Processing Pipelines in Neuroimaging.
CoRR
Gregory Kiar, Pablo de Oliveira Castro, Pierre Rioux, Eric Petit, Shawn T. Brown, Alan C. Evans, Tristan Glatard
2019 J jnl
PyBIDS: Python tools for BIDS datasets.
J. Open Source Softw.
Tal Yarkoni, Christopher J. Markiewicz, Alejandro de la Vega, Krzysztof J. Gorgolewski, Taylor Salo, Yaroslav O. Halchenko, Quinten McNamara, Krista Destasio, Jean-Baptiste Poline, Dmitry Petrov, Valérie Hayot-Sasson, Dylan Nielson, Johan D. Carlin, Gregory Kiar, Kirstie J. Whitaker, Elizabeth DuPre, Adina S. Wagner, Lee S. Tirrell, Mainak Jas, Michael Hanke, Russell A. Poldrack, Oscar Esteban, Stefan Appelhoff, Chris Holdgraf, Isla Staden, Bertrand Thirion, Dave F. Kleinschmidt, John A. Lee, Matteo di Castello, Michael Notter, Ross Blair
2018 J jnl
A Serverless Tool for Platform Agnostic Computational Experiment Management.
CoRR
Gregory Kiar, Shawn T. Brown, Tristan Glatard, Alan C. Evans
2018 J jnl
Container-Based Clinical Solutions for Portable and Reproducible Image Analysis.
J. Digit. Imaging
Jordan Matelsky, Gregory Kiar, Erik C. Johnson, Corban Rivera, Michael Toma, William R. Gray Roncal
2017 J jnl
BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods.
PLoS Comput. Biol.
Krzysztof J. Gorgolewski, Fidel Alfaro-Almagro, Tibor Auer, Pierre Bellec, Mihai Capota, M. Mallar Chakravarty, Nathan William Churchill, Alexander Li Cohen, R. Cameron Craddock, Gabriel A. Devenyi, Anders Eklund, Oscar Esteban, Guillaume Flandin, Satrajit S. Ghosh, J. Swaroop Guntupalli, Mark Jenkinson, Anisha Keshavan, Gregory Kiar, Franziskus Liem, Pradeep Reddy Raamana, David Raffelt, Christopher John Steele, Pierre-Olivier Quirion, Robert E. Smith, Stephen C. Strother, Gaël Varoquaux, Yida Wang, Tal Yarkoni, Russell A. Poldrack
2017 J jnl
Boutiques: a flexible framework for automated application integration in computing platforms.
CoRR
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