Foreseeing Brain Graph Evolution over Time Using Deep Adversarial Network Normalizer. - Zeynep Gürler; Ahmed Nebli; Islem Rekik (PRIME@MICCAI, 2020)

Deep EvoGraphNet Architecture for Time-Dependent Brain Graph Data Synthesis from a Single Timepoint. - Ahmed Nebli; Ugur Ali Kaplan; Islem Rekik (PRIME@MICCAI, 2020)

Adversarial Brain Multiplex Prediction from a Single Network for High-Order Connectional Gender-Specific Brain Mapping. - Ahmed Nebli; Islem Rekik (PRIME@MICCAI, 2020)

Non-isomorphic Inter-modality Graph Alignment and Synthesis for Holistic Brain Mapping. - Islem Mhiri; Ahmed Nebli; Mohamed Ali Mahjoub; Islem Rekik (IPMI, 2021)

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; Gang Li 001; Weili Lin; Dinggang Shen; Islem Rekik (PRIME@MICCAI, 2021)

FLAT-Net: Longitudinal Brain Graph Evolution Prediction from a Few Training Representative Templates. - Guris Özen; Ahmed Nebli; Islem Rekik (PRIME@MICCAI, 2021)

Recurrent Brain Graph Mapper for Predicting Time-Dependent Brain Graph Evaluation Trajectory. - Alpay Tekin; Ahmed Nebli; Islem Rekik (DART/FAIR@MICCAI, 2021)

Adversarial brain multiplex prediction from a single brain network with application to gender fingerprinting. - Ahmed Nebli; Islem Rekik (Medical Image Anal., 2021)

Quantifying the reproducibility of graph neural networks using multigraph data representation. - Ahmed Nebli; Mohammed Amine Gharsallaoui; Zeynep Gürler; Islem Rekik; Alzheimer's Disease Neuroimaging Initiative (Neural Networks, 2022)

Generative Modelling of Cortical Receptor Distributions from Cytoarchitectonic Images in the Macaque Brain. - Ahmed Nebli; Christian Schiffer; Meiqi Niu; Nicola Palomero-Gallagher; Katrin Amunts; Timo Dickscheid (Neuroinformatics, 2024)