Hamid Behjat

According to our database, Hamid Behjat authored at least 20 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Spectral representation of EEG data using learned graphs with application to motor imagery decoding.

Maliheh Miri, Vahid Abootalebi, Hamid Saeedi Sourck, Dimitri Van De Ville, Hamid Behjat

Biomed. Signal Process. Control., January, 2024

2023

Brain Fingerprinting Using FMRI Spectral Signatures On High-Resolution Cortical Graphs.

Carlo Ferritto, Maria Giulia Preti, Stefano Moia, Dimitri Van De Ville, Hamid Behjat

Proceedings of the IEEE International Conference on Acoustics, 2023

Brain Fingerprinting Using EEG Graph Inference.

Maliheh Miri, Vahid Abootalebi, Enrico Amico, Hamid Saeedi Sourck, Dimitri Van De Ville, Hamid Behjat

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Enhanced Motor Imagery-Based Eeg Classification Using A Discriminative Graph Fourier Subspace.

Maliheh Miri, Vahid Abootalebi, Hamid Behjat

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Diffusion-informed spatial smoothing of fMRI data in white matter using spectral graph filters.

David Abramian, Martin Larsson, Anders Eklund, Iman Aganj, Carl-Fredrik Westin, Hamid Behjat

NeuroImage, 2021

Characterization Of Spatial Dynamics Of Fmri Data In White Matter Using Diffusion-Informed White Matter Harmonics.

Hamid Behjat, Iman Aganj, David Abramian, Anders Eklund, Carl-Fredrik Westin

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

A Discriminative Characterization of Heschl's Gyrus Morphology using Spectral Graph Features.

Sevil Maghsadhagh, Josue Dalboni da Rocha, Jan Benner, Peter Schneider, Narly Golestani, Hamid Behjat

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Cortical Surface-Informed Volumetric Spatial Smoothing of fMRI Data via Graph Signal Processing.

Hamid Behjat, Carl-Fredrik Westin, Iman Aganj

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Structural mediation of human brain activity revealed by white-matter interpolation of fMRI.

Anjali Tarun, Hamid Behjat, Thomas Bolton, David Abramian, Dimitri Van De Ville

NeuroImage, 2020

Spectral Characterization of Functional MRI Data on Voxel-Resolution Cortical Graphs.

Hamid Behjat, Martin Larsson

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Improved Functional MRI Activation Mapping in White Matter Through Diffusion-Adapted Spatial Filtering.

David Abramian, Martin Larsson, Anders Eklund, Hamid Behjat

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Domain-Informed Spline Interpolation.

Hamid Behjat, Zafer Dogan, Dimitri Van De Ville, Leif Sörnmo

IEEE Trans. Signal Process., 2019

Graph Spectral Analysis of Voxel-Wise Brain Graphs from Diffusion-Weighted Mri.

Anjali Tarun, David Abramian, Hamid Behjat, Dimitri Van De Ville

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Graph Spectral Characterization of Brain Cortical Morphology.

Sevil Maghsadhagh, Anders Eklund, Hamid Behjat

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Domain-Informed Signal Processing with Application to Analysis of Human Brain Functional MRI Data.

Hamid Behjat

PhD thesis, 2018

Characterization of Brain Cortical Morphology Using Localized Topology-Encoding Graphs.

Sevil Maghsadhagh, Mousa Shamsi, Anders Eklund, Hamid Behjat

CoRR, 2018

2016

Signal-Adapted Tight Frames on Graphs.

Hamid Behjat, Ulrike Richter, Dimitri Van De Ville, Leif Sörnmo

IEEE Trans. Signal Process., 2016

2015

Anatomically-adapted graph wavelets for improved group-level fMRI activation mapping.

Hamid Behjat, Nora Leonardi, Leif Sörnmo, Dimitri Van De Ville

NeuroImage, 2015

2014

Canonical cerebellar graph wavelets and their application to FMRI activation mapping.

Hamid Behjat, Nora Leonardi, Leif Sörnmo, Dimitri Van De Ville

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013

Statistical parametric mapping of functional MRI data using wavelets adapted to the cerebral cortex.

Hamid Behjat, Nora Leonardi, Dimitri Van De Ville

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013