Julie Coloigner

Orcid: 0000-0001-7774-8015

According to our database1, Julie Coloigner authored at least 23 papers between 2010 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Graph Slepian Framework for Guided Filtering With Application to Neuroimaging.
IEEE Trans. Biomed. Eng., June, 2026

2025
Multimodal Graph Convolutional Network on Brain Structure and Function in Adolescent Anxiety and Depression.
IEEE Trans. Signal Inf. Process. over Networks, 2025

Data-Driven Identification of Functional Network Changes in Neurofeedback Stroke Rehabilitation: a Clinical Validation of Network-Based Statistics.
Proceedings of the 33rd European Signal Processing Conference, 2025

Integrating Functional and Structural Brain Connectomes: A Novel Multilayer Graphs Framework for Alzheimer's Disease Classification.
Proceedings of the 33rd European Signal Processing Conference, 2025

2024
fMRIStroke: A preprocessing pipeline for fMRI Data from Stroke patients.
J. Open Source Softw., December, 2024

Structural Brain Connectivity and Treatment Improvement in Mood Disorder.
Brain Connect., 2024

SOS-MUSIC, a Subspace Approach for EEG Source Imaging Promoting Sparsity of Active Sources.
Proceedings of the 32nd European Signal Processing Conference, 2024

Graph Wavelet Packets for the Classification of Brain Data in Anxiety and Depression.
Proceedings of the 32nd European Signal Processing Conference, 2024

Cerebral functional and structural connectivity analysis. (Analyse de la connectivité fonctionnelle et structurelle).
, 2024

2022
Shape-Based Features of White Matter Fiber-Tracts Associated with Outcome in Major Depression Disorder.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

A Convolutional Wasserstein Distance for Tractography Evaluation: Complementarity Study to State-of-the-Art Measures.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
Structural And Functional Interplay In Anxiety Related Classification: A Graph Signal Processing Approach.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2019
Effect of Prenatal Organic Solvent Exposure on Structural Connectivity at Childhood.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2017
Graph Lasso-Based Test for Evaluating Functional Brain Connectivity in Sickle Cell Disease.
Brain Connect., 2017

2016
BOLD delay times using group delay in sickle cell disease.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

The 3D EdgeRunner Pipeline: a novel shape-based analysis for neoplasms characterization.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016

Functional connectivity analysis for thalassemia disease based on a graphical lasso model.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

An experimental investigation of labeling efficiency for pseudo-continuous arterial spin labeling.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
A Novel Classification Method for Prediction of Rectal Bleeding in Prostate Cancer Radiotherapy Based on a Semi-Nonnegative ICA of 3D Planned Dose Distributions.
IEEE J. Biomed. Health Informatics, 2015

2014
Semi-nonnegative joint diagonalization by congruence and semi-nonnegative ICA.
Signal Process., 2014

2012
Line search and trust regions strategies for canonical decomposition of semi-nonnegative and semi-symmetric tensors. (Méthodes de recherche linéaire et de région de confiance pour la décomposition canonique de tenseurs semi-nonnégatifs et semi-symétriques).
PhD thesis, 2012

2011
Canonical decomposition of semi-symmetric semi-nonnegative three-way arrays.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Semi-nonnegative Independent Component Analysis: The (3, 4)-SENICA<sup>exp</sup> Method.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010


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