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Tristan Glatard

Tristan Glatard

D-Index & Metrics

Computer Science

D-Index
33
Citations
7505
World Ranking
12433
National Ranking
480

Overview

Tristan Glatard is affiliated with Concordia University in Canada and specializes primarily in Computer Science. Their research encompasses several subfields including Cognitive Neuroscience, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Networks and Communications, and Information Systems and Management.

Their work focuses on key topics that integrate advanced computational techniques with neuroimaging and data analysis. These topics include:

  • Functional Brain Connectivity Studies
  • Scientific Computing and Data Management
  • Advanced Neuroimaging Techniques and Applications
  • Data Stream Mining Techniques
  • Time Series Analysis and Forecasting
  • Cell Image Analysis Techniques
  • Advanced MRI Techniques and Applications

Glatard has contributed to multiple scientific publications in well-known venues, with frequent appearances in:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • GigaScience
  • PLoS ONE
  • Zenodo (CERN European Organization for Nuclear Research)

Among Tristan Glatard's recent papers are:

  • Variability in the analysis of a single neuroimaging dataset by many teams, 2020, Nature
  • The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging, 2021, eLife
  • Multiple sclerosis lesions segmentation from multiple experts: The MICCAI 2016 challenge dataset, 2021, NeuroImage
  • Centering inclusivity in the design of online conferences-An OHBM-Open Science perspective, 2021, GigaScience
  • A Quantitative EEG Toolbox for the MNI Neuroinformatics Ecosystem: Normative SPM of EEG Source Spectra, 2020, Frontiers in Neuroinformatics

The list of frequent coauthors working with Glatard includes:

  • Gregory Kiar
  • Yohan Chatelain
  • Jean-Baptiste Poline
  • Alan C. Evans
  • Mathieu Dugré

Tristan Glatard has also contributed to books published by the European Organization for Nuclear Research, notably multiple editions of "The DataLad Handbook" between 2020 and 2023.

Best Publications

  • The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments.

    Krzysztof J. Gorgolewski;Tibor Auer;Vince D. Calhoun;R. Cameron Craddock

  • Variability in the analysis of a single neuroimaging dataset by many teams

    Rotem Botvinik-Nezer;Rotem Botvinik-Nezer;Felix Holzmeister;Colin F. Camerer;Anna Dreber;Anna Dreber

  • Best practices in data analysis and sharing in neuroimaging using MRI.

    Thomas E Nichols;Samir Das;Samir Das;Simon B Eickhoff;Simon B Eickhoff;Alan C Evans;Alan C Evans

  • Flexible and Efficient Workflow Deployment of Data-Intensive Applications On Grids With MOTEUR

    Tristan Glatard;Johan Montagnat;Diane Lingrand;Xavier Pennec

  • Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure

    Olivier Commowick;Audrey Istace;Michaël Kain;Baptiste Laurent

  • CBRAIN: a web-based, distributed computing platform for collaborative neuroimaging research

    Tarek Sherif;Pierre Rioux;Marc-Etienne Rousseau;Nicolas Kassis

  • Reproducibility of neuroimaging analyses across operating systems.

    Tristan Glatard;Tristan Glatard;Lindsay B. Lewis;Rafael Ferreira da Silva;Reza Adalat

  • The first MICCAI challenge on PET tumor segmentation.

    Mathieu Hatt;Baptiste Laurent;Anouar Ouahabi;Hadi Fayad

  • Texture based medical image indexing and retrieval: application to cardiac imaging

    Tristan Glatard;Johan Montagnat;Isabelle E. Magnin

  • A Virtual Imaging Platform for Multi-Modality Medical Image Simulation

    T. Glatard;C. Lartizien;B. Gibaud;Rafael Ferreira da Silva

  • A Quantitative Comparison of Overlapping and Non-Overlapping Sliding Windows for Human Activity Recognition Using Inertial Sensors.

    Akbar Dehghani;Omid Sarbishei;Tristan Glatard;Emad Shihab

  • A data-driven workflow language for grids based on array programming principles

    Johan Montagnat;Benjamin Isnard;Tristan Glatard;Ketan Maheshwari

  • Best Practices in Data Analysis and Sharing in Neuroimaging using MRI

    Thomas E. Nichols;Samir Das;Simon B. Eickhoff;Alan C. Evans

  • Multiple sclerosis lesions segmentation from multiple experts: The MICCAI 2016 challenge dataset

    Olivier Commowick;Michaël Kain;Romain Casey;Roxana Ameli

  • The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging

    Casey Paquola;Casey Paquola;Jessica Royer;Lindsay B Lewis;Claude Lepage

  • A Virtual Laboratory for Medical Image Analysis

    Sílvia D Olabarriaga;Tristan Glatard;Piter T de Boer

  • Toward fine-grained online task characteristics estimation in scientific workflows

    Rafael Ferreira da Silva;Gideon Juve;Ewa Deelman;Tristan Glatard

  • Sharing brain mapping statistical results with the neuroimaging data model

    Camille Maumet;Tibor Auer;Alexander Bowring;Gang Chen

  • A Service-Oriented Architecture enabling dynamic service grouping for optimizing distributed workflow execution

    Tristan Glatard;Johan Montagnat;David Emsellem;Diane Lingrand

  • Dynamic Partitioning of GATE Monte-Carlo Simulations on EGEE

    Sorina Camarasu-Pop;Tristan Glatard;Jakub T. Mościcki;Hugues Benoit-Cattin

  • Variability in the analysis of a single neuroimaging dataset by many teams (Preprint)

    R Botvinik-Nezer;F Holzmeister;CF Camerer;A Dreber

  • Sharing brain mapping statistical results with the neuroimaging data model

    Camille Maumet;Tibor Auer;Alexander Bowring;Gang Chen

Frequent Co-Authors

Johan Montagnat
Johan Montagnat Centre national de la recherche scientifique, CNRS
Alan C. Evans
Alan C. Evans McGill University
Thomas E. Nichols
Thomas E. Nichols University of Oxford
Jean-Baptiste Poline
Jean-Baptiste Poline Montreal Neurological Institute and Hospital
Krzysztof J. Gorgolewski
Krzysztof J. Gorgolewski Stanford University
Xavier Pennec
Xavier Pennec French Institute for Research in Computer Science and Automation - INRIA
Guillaume Flandin
Guillaume Flandin University College London
Gaël Varoquaux
Gaël Varoquaux French Institute for Research in Computer Science and Automation - INRIA
Russell A. Poldrack
Russell A. Poldrack Stanford University

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