11 citations · 15 across the 6 of their papers we have counts for
6 papers
Kubo-Martin-Schwinger states of Path-structured Flow in Directed Brain Synaptic Networks
El-kaïoum M. Moutuou, Habib Benali
The brain's synaptic network, characterized by parallel connections and feedback loops, drives interaction pathways between neurons through a large system with infinitely many degr…
Brain functions emerge as thermal equilibrium states of the connectome
Elkaïoum M. Moutuou, Habib Benali
A fundamental idea in neuroscience is that cognitive functions -- such as perception, learning, memory, and locomotion -- are shaped and constrained by the brain's structural organ…
Frequency-Space Prediction Filtering for Phase Aberration Correction in Plane-Wave Ultrasound
Mostafa Sharifzadeh, Habib Benali, Hassan Rivaz
Ultrasound imaging often suffers from image degradation stemming from phase aberration, which represents a significant contributing factor to the overall image degradation in ultra…
Mitigating Aberration-Induced Noise: A Deep Learning-Based Aberration-to-Aberration Approach
Mostafa Sharifzadeh, Sobhan Goudarzi, An Tang +2
One of the primary sources of suboptimal image quality in ultrasound imaging is phase aberration. It is caused by spatial changes in sound speed over a heterogeneous medium, which…
Topology and spectral interconnectivities of higher-order multilayer networks
Elkaïoum M. Moutuou, Obaï B. K. Ali, Habib Benali
Multilayer networks have permeated all the sciences as a powerful mathematical abstraction for interdependent heterogenous complex systems such as multimodal brain connectomes, tra…
Phase Aberration Correction without Reference Data: An Adaptive Mixed Loss Deep Learning Approach
Mostafa Sharifzadeh, Habib Benali, Hassan Rivaz
Phase aberration is one of the primary sources of image quality degradation in ultrasound, which is induced by spatial variations in sound speed across the heterogeneous medium. Th…