5 citations · 5 across the 7 of their papers we have counts for
4 papers · 1 filter
A Few-shot Learning Graph Multi-Trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint
Alaa Bessadok, Ahmed Nebli, Mohamed Ali Mahjoub +4
Charting the baby connectome evolution trajectory during the first year after birth plays a vital role in understanding dynamic connectivity development of baby brains. Such analys…
Inter-Domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student Learning
Basar Demir, Alaa Bessadok, Islem Rekik
Accurate and automated super-resolution image synthesis is highly desired since it has the great potential to circumvent the need for acquiring high-cost medical scans and a time-c…
Graph Neural Networks in Network Neuroscience
Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik
Noninvasive medical neuroimaging has yielded many discoveries about the brain connectivity. Several substantial techniques mapping morphological, structural and functional brain co…
Brain Multigraph Prediction using Topology-Aware Adversarial Graph Neural Network
Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik
Brain graphs (i.e, connectomes) constructed from medical scans such as magnetic resonance imaging (MRI) have become increasingly important tools to characterize the abnormal change…