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Gregory Kiar

Showing results (1-10 of 39) with videos related to

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Plos One|January 29, 2024
Numerical stability of DeepGOPlus inferenceInés Gonzalez Pepe, Yohan Chatelain, Gregory Kiar, et al.
Frontiers in Neuroinformatics|March 21, 2019
A Serverless Tool for Platform Agnostic Computational Experiment ManagementGregory Kiar, Shawn T Brown, Tristan Glatard, et al.
Gigascience|December 3, 2020
File-based localization of numerical perturbations in data analysis pipelinesAli Salari, Gregory Kiar, Lindsay Lewis, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Challenges in measuring individual differences of brain functionTing Xu, Gregory Kiar, Xi-Nian Zuo, et al.
Journal of Digital Imaging|May 10, 2018
Container-Based Clinical Solutions for Portable and Reproducible Image AnalysisJordan Matelsky, Gregory Kiar, Erik Johnson, et al.
Nature Communications|November 1, 2024
Why experimental variation in neuroimaging should be embracedGregory Kiar, Jeanette A Mumford, Ting Xu, et al.
Biorxiv : the Preprint Server for Biology|August 6, 2025
Styx: A multi-language API Generator for Command-Line ToolsFlorian Rupprecht, Jason Kai, Biraj Shrestha, et al.
Advances in Neurobiology|November 19, 2024
Delineating a Pathway for the Discovery of Functional Connectome Biomarkers of AutismShinwon Park, Phoebe Thomson, Gregory Kiar, et al.
The International Journal of High Performance Computing Applications|August 25, 2020
Comparing perturbation models for evaluating stability of neuroimaging pipelinesGregory Kiar, Pablo de Oliveira Castro, Pierre Rioux, et al.
Nature Methods|June 1, 2023
ReX: an integrative tool for quantifying and optimizing measurement reliability for the study of individual differencesTing Xu, Gregory Kiar, Jae Wook Cho, et al.
Pageof 4

Showing results (1-10 of 39) with videos related to

Sort By:
Pageof 4
Plos One|January 29, 2024
Numerical stability of DeepGOPlus inferenceInés Gonzalez Pepe, Yohan Chatelain, Gregory Kiar, et al.
Frontiers in Neuroinformatics|March 21, 2019
A Serverless Tool for Platform Agnostic Computational Experiment ManagementGregory Kiar, Shawn T Brown, Tristan Glatard, et al.
Gigascience|December 3, 2020
File-based localization of numerical perturbations in data analysis pipelinesAli Salari, Gregory Kiar, Lindsay Lewis, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Challenges in measuring individual differences of brain functionTing Xu, Gregory Kiar, Xi-Nian Zuo, et al.
Journal of Digital Imaging|May 10, 2018
Container-Based Clinical Solutions for Portable and Reproducible Image AnalysisJordan Matelsky, Gregory Kiar, Erik Johnson, et al.
Nature Communications|November 1, 2024
Why experimental variation in neuroimaging should be embracedGregory Kiar, Jeanette A Mumford, Ting Xu, et al.
Biorxiv : the Preprint Server for Biology|August 6, 2025
Styx: A multi-language API Generator for Command-Line ToolsFlorian Rupprecht, Jason Kai, Biraj Shrestha, et al.
Advances in Neurobiology|November 19, 2024
Delineating a Pathway for the Discovery of Functional Connectome Biomarkers of AutismShinwon Park, Phoebe Thomson, Gregory Kiar, et al.
The International Journal of High Performance Computing Applications|August 25, 2020
Comparing perturbation models for evaluating stability of neuroimaging pipelinesGregory Kiar, Pablo de Oliveira Castro, Pierre Rioux, et al.
Nature Methods|June 1, 2023
ReX: an integrative tool for quantifying and optimizing measurement reliability for the study of individual differencesTing Xu, Gregory Kiar, Jae Wook Cho, et al.
Pageof 4