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Structure-function dependencies as informative features for brain decoding and fingerprinting.

, , and . ACSCC, page 1284-1287. IEEE, (2021)

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When Slepian Meets Fiedler: Putting a Focus on the Graph Spectrum., , and . IEEE Signal Process. Lett., 24 (7): 1001-1004 (2017)Signal-to-noise ratio of diffusion weighted magnetic resonance imaging: Estimation methods and in vivo application to spinal cord., , , , , , and . Biomed. Signal Process. Control., 7 (3): 285-294 (2012)Augmented Slepians: Bandlimited Functions That Counterbalance Energy in Selected Intervals., , and . IEEE Trans. Signal Process., 66 (15): 4013-4024 (2018)Graph slepians to probe into large-scale network organization of resting-state functional connectivity., and . ACSSC, page 1539-1543. IEEE, (2017)Graph Signal Processing For Neurogimaging to Reveal Dynamics of Brain Structure-Function Coupling., , , and . ICASSP, page 1-5. IEEE, (2023)Dynamic reorganization of intrinsic functional networks in the mouse brain., , , , , , , and . NeuroImage, (2017)A novel approach of fMRI-guided tractography analysis within a group: Construction of an fMRI-guided tractographic atlas., , , , , , , , , and . EMBC, page 2283-2286. IEEE, (2012)Brain Fingerprinting Using FMRI Spectral Signatures On High-Resolution Cortical Graphs., , , , and . ICASSP Workshops, page 1-5. IEEE, (2023)Eigenmaps of dynamic functional connectivity: Voxel-level dominant patterns through eigenvector centrality., and . ISBI, page 988-991. IEEE, (2016)Brain structure-function coupling provides signatures for task decoding and individual fingerprinting., , , , and . NeuroImage, (2022)