Intact Connectional Morphometricity Learning Using Multi-view Morphological Brain Networks with Application to Autism Spectrum Disorder. - Alaa Bessadok; Islem Rekik (CNI@MICCAI, 2018)

Symmetric Dual Adversarial Connectomic Domain Alignment for Predicting Isomorphic Brain Graph from a Baseline Graph. - Alaa Bessadok; Mohamed Ali Mahjoub; Islem Rekik (MICCAI (4), 2019)

Hierarchical Adversarial Connectomic Domain Alignment for Target Brain Graph Prediction and Classification from a Source Graph. - Alaa Bessadok; Mohamed Ali Mahjoub; Islem Rekik (PRIME@MICCAI, 2019)

Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain Graph. - Alaa Bessadok; Mohamed Ali Mahjoub; Islem Rekik (MICCAI (7), 2020)

Residual Embedding Similarity-Based Network Selection for Predicting Brain Network Evolution Trajectory from a Single Observation. - Ahmet Serkan Goktas; Alaa Bessadok; Islem Rekik (PRIME@MICCAI, 2020)

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)

Inter-domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student Learning. - Basar Demir; Alaa Bessadok; Islem Rekik (DART/FAIR@MICCAI, 2021)

Brain graph synthesis by dual adversarial domain alignment and target graph prediction from a source graph. - Alaa Bessadok; Mohamed Ali Mahjoub; Islem Rekik (Medical Image Anal., 2021)

Brain multigraph prediction using topology-aware adversarial graph neural network. - Alaa Bessadok; Mohamed Ali Mahjoub; Islem Rekik (Medical Image Anal., 2021)

Deep Cross-Modality and Resolution Graph Integration for Universal Brain Connectivity Mapping and Augmentation. - Ece Cinar; Sinem Elif Haseki; Alaa Bessadok; Islem Rekik (ISGIE/GRAIL@MICCAI, 2022)

Graph Neural Networks in Network Neuroscience. - Alaa Bessadok; Mohamed Ali Mahjoub; Islem Rekik (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Graph Residual Noise Learner Network for Brain Connectivity Graph Prediction. - Oytun Demirbilek; Tingying Peng; Alaa Bessadok (GRAIL@MICCAI, 2024)