Keyword search (3,619 papers available)


File-based localization of numerical perturbations in data analysis pipelines.

Author(s): Salari A, Kiar G, Lewis L, Evans AC, Glatard T

BACKGROUND: Data analysis pipelines are known to be affected by computational conditions, presumably owing to the creation and propagation of numerical errors. While this process could play a major role in the current reproducibility crisis, the precise cau...

Article GUID: 33269388
Comparing perturbation models for evaluating stability of neuroimaging pipelines.

Author(s): Kiar G, de Oliveira Castro P, Rioux P, Petit E, Brown ST, Evans AC, Glatard T

With an increase in awareness regarding a troubling lack of reproducibility in analytical software tools, the degree of validity in scientific derivatives and their downstream results has become unclear. The nature of reproducibility issues may vary across ...

Article GUID: 32831546
A Quantitative Comparison of Overlapping and Non-Overlapping Sliding Windows for Human Activity Recognition Using Inertial Sensors.

Author(s): Dehghani A, Sarbishei O, Glatard T, Shihab E

Sensors (Basel). 2019 Nov 18;19(22): Authors: Dehghani A, Sarbishei O, Glatard T, Shihab E

Article GUID: 31752158
Cyberinfrastructure for Open Science at the Montreal Neurological Institute.

Author(s): Das S, Glatard T, Rogers C, Saigle J, Paiva S, MacIntyre L, Safi-Harab M, Rousseau ME, Stirling J, Khalili-Mahani N, MacFarlane D, Kostopoul...

Front Neuroinform. 2016;10:53 Authors: Das S, Glatard T, Rogers C, Saigle J, Paiva S, MacIntyre L, Safi-Harab M, Rousseau ME, Stirling J, Khalili-Mahani N, MacFarlane D, Kostopoulos P, Rioux P, Ma...

Article GUID: 28111547
Best practices in data analysis and sharing in neuroimaging using MRI.

Author(s): Nichols TE, Das S, Eickhoff SB, Evans AC, Glatard T, Hanke M, Kriegeskorte N, Milham MP, Poldrack RA, Poline JB, Proal E, Thirion B, Van Ess...

Nat Neurosci. 2017 Feb 23;20(3):299-303 Authors: Nichols TE, Das S, Eickhoff SB, Evans AC, Glatard T, Hanke M, Kriegeskorte N, Milham MP, Poldrack RA, Poline JB, Proal E, Thirion B, Van Essen DC, ...

Article GUID: 28230846
The first MICCAI challenge on PET tumor segmentation.

Author(s): Hatt M, Laurent B, Ouahabi A, Fayad H, Tan S, Li L, Lu W, Jaouen V, Tauber C, Czakon J, Drapejkowski F, Dyrka W, Camarasu-Pop S, Cervenansky...

Med Image Anal. 2018 02;44:177-195 Authors: Hatt M, Laurent B, Ouahabi A, Fayad H, Tan S, Li L, Lu W, Jaouen V, Tauber C, Czakon J, Drapejkowski F, Dyrka W, Camarasu-Pop S, Cervenansky F, Girard P...

Article GUID: 29268169
Boutiques: a flexible framework to integrate command-line applications in computing platforms.

Author(s): Glatard T, Kiar G, Aumentado-Armstrong T, Beck N, Bellec P, Bernard R, Bonnet A, Brown ST, Camarasu-Pop S, Cervenansky F, Das S, Ferreira da...

Gigascience. 2018 05 01;7(5): Authors: Glatard T, Kiar G, Aumentado-Armstrong T, Beck N, Bellec P, Bernard R, Bonnet A, Brown ST, Camarasu-Pop S, Cervenansky F, Das S, Ferreira da Silva R, Flandin...

Article GUID: 29718199
Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure.

Author(s): Commowick O, Istace A, Kain M, Laurent B, Leray F, Simon M, Pop SC, Girard P, Améli R, Ferré JC, Kerbrat A, Tourdias T, Cervenansky F, Glata...

Sci Rep. 2018 Sep 12;8(1):13650 Authors: Commowick O, Istace A, Kain M, Laurent B, Leray F, Simon M, Pop SC, Girard P, Améli R, Ferré JC, Kerbrat A, Tourdias T, Cervenansky F, Glatard T,...

Article GUID: 30209345
A Serverless Tool for Platform Agnostic Computational Experiment Management.

Author(s): Kiar G, Brown ST, Glatard T, Evans AC

Front Neuroinform. 2019;13:12 Authors: Kiar G, Brown ST, Glatard T, Evans AC

Article GUID: 30890927
Title:A Serverless Tool for Platform Agnostic Computational Experiment Management.
Authors:Kiar G,  Brown ST,  Glatard T,  Evans AC
Link:https://www.ncbi.nlm.nih.gov/pubmed/30890927?dopt=Abstract
Category:Front Neuroinform
PMID:30890927
Dept Affiliation: ENCS
1 Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
2 Department of Biomedical Engineering, McGill University, Montreal, QC, Canada.
3 Department of Computer Science, Concordia University, Montreal, QC, Canada.
4 Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.

Description:

A Serverless Tool for Platform Agnostic Computational Experiment Management.

Front Neuroinform. 2019;13:12

Authors: Kiar G, Brown ST, Glatard T, Evans AC

Abstract

Neuroscience has been carried into the domain of big data and high performance computing (HPC) on the backs of initiatives in data collection and an increasingly compute-intensive tools. While managing HPC experiments requires considerable technical acumen, platforms, and standards have been developed to ease this burden on scientists. While web-portals make resources widely accessible, data organizations such as the Brain Imaging Data Structure and tool description languages such as Boutiques provide researchers with a foothold to tackle these problems using their own datasets, pipelines, and environments. While these standards lower the barrier to adoption of HPC and cloud systems for neuroscience applications, they still require the consolidation of disparate domain-specific knowledge. We present Clowdr, a lightweight tool to launch experiments on HPC systems and clouds, record rich execution records, and enable the accessible sharing and re-launch of experimental summaries and results. Clowdr uniquely sits between web platforms and bare-metal applications for experiment management by preserving the flexibility of do-it-yourself solutions while providing a low barrier for developing, deploying and disseminating neuroscientific analysis.

PMID: 30890927 [PubMed]