Tristan Glatard
Overview
Explore the profile of Tristan Glatard including associated specialties, affiliations and a list of published articles.
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40
Citations
1885
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Recent Articles
1.
Dugre M, Chatelain Y, Glatard T
Gigascience
. 2025 Mar;
14.
PMID: 40072903
Magnetic resonance imaging (MRI) preprocessing is a critical step for neuroimaging analysis. However, the computational cost of MRI preprocessing pipelines is a major bottleneck for large cohort studies and some...
2.
Germani E, Bhagwat N, Dugre M, Gau R, Montillo A, Nguyen K, et al.
PLoS One
. 2025 Feb;
20(2):e0317566.
PMID: 39982930
Parkinson's disease (PD) is a common neurodegenerative disorder with a poorly understood physiopathology and no established biomarkers for the diagnosis of early stages and for prediction of disease progression. Several...
3.
Kiar G, Mumford J, Xu T, Vogelstein J, Glatard T, Milham M
Nat Commun
. 2024 Nov;
15(1):9411.
PMID: 39482294
In a perfect world, scientists would develop analyses that are guaranteed to reveal the ground truth of a research question. In reality, there are countless viable workflows that produce distinct,...
4.
Haitas N, Dubuc J, Masse-Leblanc C, Chamberland V, Amiri M, Glatard T, et al.
PLoS One
. 2024 Jun;
19(6):e0289384.
PMID: 38917084
Semantic memory representations are generally well maintained in aging, whereas semantic control is thought to be more affected. To explain this phenomenon, this study tested the predictions of the Compensation-Related...
5.
Sokolowski A, Bhagwat N, Chatelain Y, Dugre M, Hanganu A, Monchi O, et al.
PLoS One
. 2024 Jan;
19(1):e0295069.
PMID: 38295031
Context: An existing major challenge in Parkinson's disease (PD) research is the identification of biomarkers of disease progression. While magnetic resonance imaging is a potential source of PD biomarkers, none...
6.
Gonzalez Pepe I, Chatelain Y, Kiar G, Glatard T
PLoS One
. 2024 Jan;
19(1):e0296725.
PMID: 38285635
Convolutional neural networks (CNNs) are currently among the most widely-used deep neural network (DNN) architectures available and achieve state-of-the-art performance for many problems. Originally applied to computer vision tasks, CNNs...
7.
Poline J, Das S, Glatard T, Madjar C, Dickie E, Lecours X, et al.
Sci Data
. 2023 Apr;
10(1):189.
PMID: 37024500
We present the Canadian Open Neuroscience Platform (CONP) portal to answer the research community's need for flexible data sharing resources and provide advanced tools for search and processing infrastructure capacity....
8.
Khalili-Mahani N, Holowka E, Woods S, Khaled R, Roy M, Lashley M, et al.
Front Psychiatry
. 2022 Jan;
12:746477.
PMID: 34975566
The value of understanding patients' illness experience and social contexts for advancing medicine and clinical care is widely acknowledged. However, methodologies for rigorous and inclusive data gathering and integrative analysis...
9.
Kiar G, Chatelain Y, de Oliveira Castro P, Petit E, Rokem A, Varoquaux G, et al.
PLoS One
. 2021 Nov;
16(11):e0250755.
PMID: 34724000
The analysis of brain-imaging data requires complex processing pipelines to support findings on brain function or pathologies. Recent work has shown that variability in analytical decisions, small amounts of noise,...
10.
Commowick O, Kain M, Casey R, Ameli R, Ferre J, Kerbrat A, et al.
Neuroimage
. 2021 Sep;
244:118589.
PMID: 34563682
MRI plays a crucial role in multiple sclerosis diagnostic and patient follow-up. In particular, the delineation of T2-FLAIR hyperintense lesions is crucial although mostly performed manually - a tedious task....