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:An analysis of security vulnerabilities in container images for scientific data analysis
Authors:Kaur BDugré MHanna AGlatard T
Link:https://pubmed.ncbi.nlm.nih.gov/34080631/
DOI:10.1093/gigascience/giab025
Publication:GigaScience
Keywords:Dockercontainersneuroimagingsecurity vulnerabilitiessingularity
PMID:34080631 Category: Date Added:2021-06-03
Dept Affiliation: ENCS
1 Department of Computer Science and Software Engineering, Concordia University, Montreal, QC H3G 1M8, Canada.

Description:

Background: Software containers greatly facilitate the deployment and reproducibility of scientific data analyses in various platforms. However, container images often contain outdated or unnecessary software packages, which increases the number of security vulnerabilities in the images, widens the attack surface in the container host, and creates substantial security risks for computing infrastructures at large. This article presents a vulnerability analysis of container images for scientific data analysis. We compare results obtained with 4 vulnerability scanners, focusing on the use case of neuroscience data analysis, and quantifying the effect of image update and minification on the number of vulnerabilities.

Results: We find that container images used for neuroscience data analysis contain hundreds of vulnerabilities, that software updates remove roughly two-thirds of these vulnerabilities, and that removing unused packages is also effective.

Conclusions: We provide recommendations on how to build container images with fewer vulnerabilities.





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