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PubMed Publications| Keyword search (4,163 papers available) |  |
"Glatard T" Authored Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Hierarchical Storage Management in User Space for Neuroimaging Applications | Hayot-Sasson V; Glatard T; | 41432812 ENCS |
| 2 | Open-source platforms to investigate analytical flexibility in neuroimaging | Sanz-Robinson J; Wang M; McPherson B; Chatelain Y; Kennedy D; Glatard T; Poline JB; | 40800896 ENCS |
| 3 | An analysis of performance bottlenecks in MRI preprocessing | Dugré M; Chatelain Y; Glatard T; | 40072903 ENCS |
| 4 | Predicting Parkinson's disease trajectory using clinical and functional MRI features: A reproduction and replication study | Germani E; Bhagwat N; Dugré M; Gau R; Montillo AA; Nguyen KP; Sokolowski A; Sharp M; Poline JB; Glatard T; | 39982930 ENCS |
| 5 | Registered report: Age-preserved semantic memory and the CRUNCH effect manifested as differential semantic control networks: An fMRI study | Haitas N; Dubuc J; Massé-Leblanc C; Chamberland V; Amiri M; Glatard T; Wilson M; Joanette Y; Steffener J; | 38917084 ENCS |
| 6 | Longitudinal brain structure changes in Parkinson's disease: A replication study | Sokolowski A; Bhagwat N; Chatelain Y; Dugré M; Hanganu A; Monchi O; McPherson B; Wang M; Poline JB; Sharp M; Glatard T; | 38295031 ENCS |
| 7 | Numerical stability of DeepGOPlus inference | Gonzalez Pepe I; Chatelain Y; Kiar G; Glatard T; | 38285635 ENCS |
| 8 | Data and Tools Integration in the Canadian Open Neuroscience Platform | Poline JB; Das S; Glatard T; Madjar C; Dickie EW; Lecours X; Beaudry T; Beck N; Behan B; Brown ST; Bujold D; Beauvais M; Caron B; Czech C; Dharsee M; Dugré M; Evans K; Gee T; Ippoliti G; Kiar G; Knoppers BM; Kuehn T; Le D; Lo D; Mazaheri M; MacFarlane D; Muja N; O' Brien EA; O' Callaghan L; Paiva S; Park P; Quesnel D; Rabelais H; Rioux P; Legault M; Tremblay-Mercier J; Rotenberg D; Stone J; Strauss T; Zaytseva K; Zhou J; Duchesne S; Khan AR; Hill S; Evans AC; | 37024500 ENCS |
| 9 | Numerical uncertainty in analytical pipelines lead to impactful variability in brain networks | Kiar G; Chatelain Y; de Oliveira Castro P; Petit E; Rokem A; Varoquaux G; Misic B; Evans AC; Glatard T; | 34724000 ENCS |
| 10 | Multiple sclerosis lesions segmentation from multiple experts: the MICCAI 2016 challenge dataset | Commowick O; Kain M; Casey R; Ameli R; Ferré JC; Kerbrat A; Tourdias T; Cervenansky F; Camarasu-Pop S; Glatard T; Vukusic S; Edan G; Barillot C; Dojat M; Cotton FI; | 34563682 ENCS |
| 11 | The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging | Paquola C; Royer J; Lewis LB; Lepage C; Glatard T; Wagstyl K; DeKraker J; Toussaint PJ; Valk SL; Collins DL; Khan A; Amunts K; Evans AC; Dickscheid T; Bernhardt BC; | 34431476 IMAGING |
| 12 | An analysis of security vulnerabilities in container images for scientific data analysis | Kaur B; Dugré M; Hanna A; Glatard T; | 34080631 ENCS |
| 13 | File-based localization of numerical perturbations in data analysis pipelines. | Salari A, Kiar G, Lewis L, Evans AC, Glatard T | 33269388 ENCS |
| 14 | A Benchmark of Data Stream Classification for Human Activity Recognition on Connected Objects. | Khannouz M; Glatard T; | 33202905 ENCS |
| 15 | Comparing perturbation models for evaluating stability of neuroimaging pipelines. | Kiar G, de Oliveira Castro P, Rioux P, Petit E, Brown ST, Evans AC, Glatard T | 32831546 IMAGING |
| 16 | A Quantitative Comparison of Overlapping and Non-Overlapping Sliding Windows for Human Activity Recognition Using Inertial Sensors. | Dehghani A, Sarbishei O, Glatard T, Shihab E | 31752158 ENCS |
| 17 | Cyberinfrastructure for Open Science at the Montreal Neurological Institute. | 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, Madjar C, Lecours-Boucher X, Vanamala S, Adalat R, Mohaddes Z, Fonov VS, Milot S, Leppert I, Degroot C, Durcan TM, Campbell T, Moreau J, Dagher A, Collins DL, Karamchandani J, Bar-Or A, Fon EA, Hoge R, Baillet S, Rouleau G, Evans AC | 28111547 IMAGING |
| 18 | Best practices in data analysis and sharing in neuroimaging using MRI. | 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, White T, Yeo BT | 28230846 IMAGING |
| 19 | The first MICCAI challenge on PET tumor segmentation. | 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, Glatard T, Kain M, Yao Y, Barillot C, Kirov A, Visvikis D | 29268169 IMAGING |
| 20 | Boutiques: a flexible framework to integrate command-line applications in computing platforms. | 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 G, Girard P, Gorgolewski KJ, Guttmann CRG, Hayot-Sasson V, Quirion PO, Rioux P, Rousseau MÉ, Evans AC | 29718199 ENCS |
| 21 | Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure. | 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, Beaumont J, Doyle S, Forbes F, Knight J, Khademi A, Mahbod A, Wang C, McKinley R, Wagner F, Muschelli J, Sweeney E, Roura E, Lladó X, Santos MM, Santos WP, Silva-Filho AG, Tomas-Fernandez X, Urien H, Bloch I, Valverde S, Cabezas M, Vera-Olmos FJ, Malpica N, Guttmann C, Vukusic S, Edan G, Dojat M, Styner M, Warfield SK, Cotton F, Barillot C | 30209345 ENCS |
| 22 | A Serverless Tool for Platform Agnostic Computational Experiment Management. | Kiar G, Brown ST, Glatard T, Evans AC | 30890927 ENCS |
| Title: | Open-source platforms to investigate analytical flexibility in neuroimaging | ||||
| Authors: | Sanz-Robinson J, Wang M, McPherson B, Chatelain Y, Kennedy D, Glatard T, Poline JB | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/40800896/ | ||||
| DOI: | 10.1162/IMAG.a.79 | ||||
| Publication: | Imaging neuroscience (Cambridge, Mass.) | ||||
| Keywords: | analytical flexibility; neuroimaging; open source; reproducibility; software; | ||||
| PMID: | 40800896 | Category: | Date Added: | 2025-08-13 | |
| Dept Affiliation: |
ENCS
1 NeuroDataScience-ORIGAMI Lab, McConnell Brain Imaging Centre, The Neuro (Montreal Neurological Institute-Hospital), Faculty of Medicine and Health Sciences, McGill University, Montreal, Quebec, Canada. 2 Department of Computer Science and Software Engineering, Concordia University, Montreal, Quebec, Canada. 3 Department of Psychiatry, University of Massachusetts Medical School, Worcester, MA, United States. 4 Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, Ontario, Canada. |
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Description: |
Researchers in brain imaging have access to a multitude of analysis tools, many of which carry out the same or similar tasks but yield different results when applied to the same data. This analytical flexibility often undermines reproducibility and raises concerns about the robustness of neuroimaging studies. However, the array of software packages to investigate and address analytical flexibility is decentralized, scattered, and not well documented. Consequently, researchers often lack the necessary information and protocols to buttress the reliability of their findings across analytical tools. This review catalogs and describes software platforms (i.e., software or computational libraries) that can be used to address result variability arising from computational pipelines and environments and explores the use of computing platforms and neuroimaging pipeline frameworks in addressing this issue. This study offers guidance to the research community on accessing, understanding, and utilizing these platforms to address brain imaging analytical flexibility. Additionally, the article provides specific recommendations tailored to different user groups, considering the tools they intend to use with these platforms and their computational constraints. |
