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Hamid Behjat

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2020 – today

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2024
[j6]
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  - journals/bspc/MiriASVB24
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Maliheh Miri, Vahid Abootalebi, Hamid Saeedi Sourck, Dimitri Van De Ville, Hamid Behjat:
Spectral representation of EEG data using learned graphs with application to motor imagery decoding. Biomed. Signal Process. Control. 87(Part B): 105537 (2024)
[c13]
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Elif Sema Balcioglu, Berkay Doner, Ekansh Sareen, Dimitri Van De Ville, Hamid Behjat:
Joint Subject-Identification and Task-Decoding From Inferred Functional Brain Graphs Via a Multi-Task Neural Network. ISBI 2024: 1-5
2023
[c12]
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  - conf/eusipco/MiriAASVB23
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Maliheh Miri, Vahid Abootalebi, Enrico Amico, Hamid Saeedi Sourck, Dimitri Van De Ville, Hamid Behjat:
Brain Fingerprinting Using EEG Graph Inference. EUSIPCO 2023: 1025-1029
[c11]
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  - conf/icassp/FerrittoPMVB23
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Carlo Ferritto, Maria Giulia Preti, Stefano Moia, Dimitri Van De Ville, Hamid Behjat:
Brain Fingerprinting Using FMRI Spectral Signatures On High-Resolution Cortical Graphs. ICASSP Workshops 2023: 1-5
2022
[c10]
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Maliheh Miri, Vahid Abootalebi, Hamid Behjat:
Enhanced Motor Imagery-Based Eeg Classification Using A Discriminative Graph Fourier Subspace. ISBI 2022: 1-5
2021
[j5]
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  - journals/neuroimage/AbramianLEAWB21
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David Abramian, Martin Larsson, Anders Eklund, Iman Aganj, Carl-Fredrik Westin, Hamid Behjat:
Diffusion-informed spatial smoothing of fMRI data in white matter using spectral graph filters. NeuroImage 237: 118095 (2021)
[c9]
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  - conf/embc/MaghsadhaghRBSG21
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Sevil Maghsadhagh, Josue Dalboni da Rocha, Jan Benner, Peter Schneider, Narly Golestani, Hamid Behjat:
A Discriminative Characterization of Heschl's Gyrus Morphology using Spectral Graph Features. EMBC 2021: 3577-3581
[c8]
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Hamid Behjat, Carl-Fredrik Westin, Iman Aganj:
Cortical Surface-Informed Volumetric Spatial Smoothing of fMRI Data via Graph Signal Processing. EMBC 2021: 3804-3808
[c7]
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Hamid Behjat, Iman Aganj, David Abramian, Anders Eklund, Carl-Fredrik Westin:
Characterization Of Spatial Dynamics Of Fmri Data In White Matter Using Diffusion-Informed White Matter Harmonics. ISBI 2021: 1586-1590
2020
[j4]
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  - journals/neuroimage/TarunBBAV20
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Anjali Tarun, Hamid Behjat, Thomas Bolton, David Abramian, Dimitri Van De Ville:
Structural mediation of human brain activity revealed by white-matter interpolation of fMRI. NeuroImage 213: 116718 (2020)
[c6]
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David Abramian, Martin Larsson, Anders Eklund, Hamid Behjat:
Improved Functional MRI Activation Mapping in White Matter Through Diffusion-Adapted Spatial Filtering. ISBI 2020: 539-543
[c5]
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  - conf/isbi/BehjatL20
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Hamid Behjat, Martin Larsson:
Spectral Characterization of Functional MRI Data on Voxel-Resolution Cortical Graphs. ISBI 2020: 558-562

2010 – 2019

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2019
[j3]
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  - journals/tsp/BehjatDVS19
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Hamid Behjat, Zafer Dogan, Dimitri Van De Ville, Leif Sörnmo:
Domain-Informed Spline Interpolation. IEEE Trans. Signal Process. 67(15): 3909-3921 (2019)
[c4]
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  - conf/embc/Maghsadhagh0B19
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Sevil Maghsadhagh, Anders Eklund, Hamid Behjat:
Graph Spectral Characterization of Brain Cortical Morphology. EMBC 2019: 458-462
[c3]
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  - conf/isbi/TarunABV19
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Anjali Tarun, David Abramian, Hamid Behjat, Dimitri Van De Ville:
Graph Spectral Analysis of Voxel-Wise Brain Graphs from Diffusion-Weighted Mri. ISBI 2019: 159-163
[i3]
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  - journals/corr/abs-1902-07283
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Sevil Maghsadhagh, Anders Eklund, Hamid Behjat:
Graph Spectral Characterization of Brain Cortical Morphology. CoRR abs/1902.07283 (2019)
[i2]
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  - journals/corr/abs-1910-09507
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Hamid Behjat, Martin Larsson:
Spectral Characterization of functional MRI data on voxel-resolution cortical graphs. CoRR abs/1910.09507 (2019)
2018
[b1]
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  - phd/basesearch/Behjat18
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Hamid Behjat:
Domain-Informed Signal Processing with Application to Analysis of Human Brain Functional MRI Data. Lund University, Sweden, 2018
[i1]
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  - journals/corr/abs-1810-10339
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Sevil Maghsadhagh, Mousa Shamsi, Anders Eklund, Hamid Behjat:
Characterization of Brain Cortical Morphology Using Localized Topology-Encoding Graphs. CoRR abs/1810.10339 (2018)
2016
[j2]
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  - journals/tsp/BehjatRVS16
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Hamid Behjat, Ulrike Richter, Dimitri Van De Ville, Leif Sörnmo:
Signal-Adapted Tight Frames on Graphs. IEEE Trans. Signal Process. 64(22): 6017-6029 (2016)
2015
[j1]
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  - journals/neuroimage/BehjatLSV15
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Hamid Behjat, Nora Leonardi, Leif Sörnmo, Dimitri Van De Ville:
Anatomically-adapted graph wavelets for improved group-level fMRI activation mapping. NeuroImage 123: 185-199 (2015)
2014
[c2]
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  - conf/embc/BehjatLSV14
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Hamid Behjat, Nora Leonardi, Leif Sörnmo, Dimitri Van De Ville:
Canonical cerebellar graph wavelets and their application to FMRI activation mapping. EMBC 2014: 1039-1042
2013
[c1]
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  - conf/isbi/BehjatLV13
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Hamid Behjat, Nora Leonardi, Dimitri Van De Ville:
Statistical parametric mapping of functional MRI data using wavelets adapted to the cerebral cortex. ISBI 2013: 1070-1073

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