Tristan Glatard

Tristan Glatard

Concordia University

H-index: 32

North America-Canada

About Tristan Glatard

Tristan Glatard, With an exceptional h-index of 32 and a recent h-index of 21 (since 2020), a distinguished researcher at Concordia University, specializes in the field of Big Data Infrastructures, Neuroinformatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Predicting Parkinson's disease trajectory using clinical and functional MRI features: a reproduction and replication study

The Impact of Hardware Variability on Applications Packaged with Docker and Guix: a Case Study in Neuroimaging

Longitudinal brain structure changes in Parkinson’s disease: A replication study

Hierarchical storage management in user space for neuroimaging applications

Numerical stability of DeepGOPlus inference

Scaling up ridge regression for brain encoding in a massive individual fMRI dataset

Mondrian forest for data stream classification under memory constraints

Reproducibility of Tumor Segmentation Outcomes with a Deep Learning Model

Tristan Glatard Information

University

Position

___

Citations(all)

6499

Citations(since 2020)

4151

Cited By

3693

hIndex(all)

32

hIndex(since 2020)

21

i10Index(all)

78

i10Index(since 2020)

37

Email

University Profile Page

Concordia University

Google Scholar

View Google Scholar Profile

Tristan Glatard Skills & Research Interests

Big Data Infrastructures

Neuroinformatics

Top articles of Tristan Glatard

Title

Journal

Author(s)

Publication Date

Predicting Parkinson's disease trajectory using clinical and functional MRI features: a reproduction and replication study

Elodie Germani

Nikhil Baghwat

Mathieu Dugré

Rémi Gau

Albert Montillo

...

2024/2/20

The Impact of Hardware Variability on Applications Packaged with Docker and Guix: a Case Study in Neuroimaging

Gaël Vila

Emmanuel Medernach

Inés Gonzalez

Axel Bonnet

Yohan Chatelain

...

2024/2/16

Longitudinal brain structure changes in Parkinson’s disease: A replication study

Plos one

Andrzej Sokołowski

Nikhil Bhagwat

Yohan Chatelain

Mathieu Dugré

Alexandru Hanganu

...

2024/1/31

Hierarchical storage management in user space for neuroimaging applications

arXiv preprint arXiv:2404.11556

Valérie Hayot-Sasson

Tristan Glatard

2024/4/17

Numerical stability of DeepGOPlus inference

Plos one

Inés Gonzalez Pepe

Yohan Chatelain

Gregory Kiar

Tristan Glatard

2024/1/29

Scaling up ridge regression for brain encoding in a massive individual fMRI dataset

arXiv preprint arXiv:2403.19421

Sana Ahmadi

Pierre Bellec

Tristan Glatard

2024/3/28

Mondrian forest for data stream classification under memory constraints

Data Mining and Knowledge Discovery

Martin Khannouz

Tristan Glatard

2023/10/17

Reproducibility of Tumor Segmentation Outcomes with a Deep Learning Model

Morgane Des Ligneris

Axel Bonnet

Yohan Chatelain

Tristan Glatard

Michaël Sdika

...

2023/4/18

Performance comparison of Dask and Apache Spark on HPC systems for neuroimaging

Concurrency and Computation: Practice and Experience

Mathieu Dugré

Valérie Hayot‐Sasson

Tristan Glatard

2023/9/25

Data and tools integration in the canadian open neuroscience platform

Scientific Data

Jean-Baptiste Poline

Samir Das

Tristan Glatard

Cécile Madjar

Erin W Dickie

...

2023/4/6

Classification of Anomalies in Telecommunication Network KPI Time Series

arXiv preprint arXiv:2308.16279

Korantin Bordeau-Aubert

Justin Whatley

Sylvain Nadeau

Tristan Glatard

Brigitte Jaumard

2023/8/30

Proceedings of the OHBM Brainhack 2021

Aperture Neuro

Aki Nikolaidis

Matteo Manchini

Tibor Auer

Katherine L Bottenhorn

Eva Alonso-Ortiz

...

2023/3/6

A numerical variability approach to results stability tests and its application to neuroimaging

arXiv preprint arXiv:2307.01373

Yohan Chatelain

Loïc Tetrel

Christopher J Markiewicz

Mathias Goncalves

Gregory Kiar

...

2023/7/3

Registered report: Age-preserved semantic memory and the CRUNCH effect manifested as differential semantic control networks: an fMRI study

bioRxiv

Niobe Haitas

Jade Dubuc

Camille Massé-Leblanc

Vincent Chamberland

Mahnoush Amiri

...

2023

Predicting Parkinson’s disease progression using MRI-based white matter radiomic biomarker and machine learning: a reproducibility and replicability study

bioRxiv

Mohanad Arafe

Nikhil Bhagwat

Yohan Chatelain

Mathieu Dugré

Andrzej Sokołowski

...

2023/5/5

Recommendations for Fostering Open Science at Concordia University

Nicolás Alessandroni

Krista Byers-Heinlein

Zaki Alasmar

Ji Yae Bong

Joshua Chalifour

...

2023/4/21

Numerical Uncertainty of Convolutional Neural Networks Inference for Structural Brain MRI Analysis

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging: 5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings

Inés Gonzalez Pepe

Vinuyan Sivakolunthu

Hae Lang Park

Yohan Chatelain

Tristan Glatard

2023/10/6

Foreword: ERROR 2022

Proceedings-2022 IEEE 18th International Conference on e-Science, eScience 2022

Ketan Maheshwari

Rafael Ferreira Da Silva

Tristan Glatard

Justin Wozniak

Daniel S Katz

2022

PyTracer: Automatically profiling numerical instabilities in Python

IEEE Transactions on Computers

Yohan Chatelain

Nigel Yong Sao Young

Gregory Kiar

Tristan Glatard

2022/11/23

NeuroCI: Continuous Integration of Neuroimaging Results Across Software Pipelines and Datasets

Jacob Sanz-Robinson

Arman Jahanpour

Natalie Phillips

Tristan Glatard

Jean-Baptiste Poline

2022/10/11

See List of Professors in Tristan Glatard University(Concordia University)

Co-Authors

H-index: 210
Alan Evans, PhD, FRSC, FCAHS

Alan Evans, PhD, FRSC, FCAHS

McGill University

H-index: 106
Thomas E. Nichols

Thomas E. Nichols

University of Oxford

H-index: 98
JB Poline

JB Poline

McGill University

H-index: 36
Germain Forestier

Germain Forestier

Université de Haute-Alsace

H-index: 33
Silvia Olabarriaga

Silvia Olabarriaga

Universiteit van Amsterdam

H-index: 30
Bernard Gibaud

Bernard Gibaud

Université de Rennes 1

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