Functional MRI (fMRI), BOLD signal decomposition, sensor fusion, image segmentation, tumor detection.
Multivariate Semi-Blind Deconvolution of fMRI Time Series
This approach performs whole-brain estimation of the haemodynamic response function in fMRI using convolutional sparse coding between the hemodynamic system and temporal atoms coding for neural activity. The method addresses resting-state fMRI analysis without requiring experimental paradigms, demonstrates statistical significance in discriminating stroke patients from healthy controls, and shows predictive accuracy of 74% for individual age classification across 459 subjects.
Whole-brain haemodynamic response estimation from fMRI data
Spatial activation maps from multivariate fMRI decomposition
H. Cherkaoui, T. Moreau, A. Halimi, and P. Ciuciu, "fMRI BOLD signal decomposition via a multivariate low-rank model," EUSIPCO, 2019.
Bayesian Multifractal Image Segmentation
The proposed unsupervised Bayesian method for segmenting multifractal textures jointly estimates multifractal parameters and pixel-level labels using a multiscale Potts Markov random field to model inherent spatial and scale correlations, with Gibbs sampling for posterior distribution analysis.
Bayesian multifractal texture segmentation
MR and Ultrasound Image Fusion for Endometriosis Surgery
A guided filtering-based fusion method produces weighted averages accounting for ultrasound speckle noise while enhancing image contrast for surgical visualization, aiding intraoperative guidance.
Guided filtering-based MR and ultrasound image fusion
- H. Cherkaoui, T. Moreau, A. Halimi, C. Leroy, P. Ciuciu, "Multivariate semi-blind deconvolution of fMRI time series," NeuroImage, vol. 241, 2021.
- H. Cherkaoui, T. Moreau, A. Halimi, and P. Ciuciu, "fMRI BOLD signal decomposition via a multivariate low-rank model," EUSIPCO, 2019.
- K. M. Leon-Lopez, A. Halimi, J.-Y. Tourneret, and H. Wendt, "Bayesian Multifractal Image Segmentation," IEEE Transactions on Image Processing, vol. 34, pp. 8500-8510, 2025.
- Y. El Bennioui, A. Halimi, A. Basarab, and J.-Y. Tourneret, "Fusion of Magnetic Resonance and Ultrasound Images Using Guided Filtering: Application to Endometriosis Surgery," EUSIPCO, Lyon, 2024.