45 citations · 57 across the 9 of their papers we have counts for
9 papers
Electrical and Mechanical Modeling of Uterine Contractions Analysis Using Connectivity Methods and Graph Theory
Kamil Bader El Dine, Noujoud Nader, Mohamad Khalil +1
Premature delivery is a leading cause of fetal death and morbidity, making the prediction and treatment of preterm contractions critical. The electrohysterographic (EHG) signal mea…
Optimizing Uterine Synchronization Analysis in Pregnancy and Labor through Window Selection and Node Optimization
Kamil Bader El Dine, Noujoud Nader, Mohamad Khalil +1
Preterm labor (PL) has globally become the leading cause of death in children under the age of 5 years. To address this problem, this paper will provide a new approach by analyzing…
An Electroencephalography connectome predictive model of major depressive disorder severity
Aya Kabbara, Gabriel Robert, Mohamad Khalil +3
Emerging evidence showed that major depressive disorder (MDD) is associated with disruptions of brain structural and functional networks, rather than impairment of isolated brain r…
Uterine muscle networks: Connectivity analysis of the EHG during pregnancy and Labor
Noujoud Nader, Mahmoud Hassan, Wassim Falou +3
In this paper, we propose a new framework to analyze the electrical activity of the uterus recorded by electrohysterography (EHG), from abdominal electrodes (a grid of 4x4 electrod…
SimiNet: a Novel Method for Quantifying Brain Network Similarity
Ahmad Mheich, Mahmoud Hassan, Mohamad Khalil +3
Quantifying the similarity between two networks is critical in many applications. A number of algorithms have been proposed to compute graph similarity, mainly based on the propert…
A scalp-EEG network-based analysis of Alzheimer's disease patients at rest
Aya Kabbara, Mahmoud Hassan, Mohamad Khalil +2
Most brain disorders including Alzheimer's disease (AD) are related to alterations in the normal brain network organization and function. Exploring these network alterations using…