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

Federated Time-Dependent GNN Learning from Brain Connectivity Data with Missing Timepoints. - Zeynep Gürler; Islem Rekik (PRIME@MICCAI, 2022)

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)

Template-based graph registration network for boosting the diagnosis of brain connectivity disorders. - Zeynep Gürler; Mohammed Amine Gharsallaoui; Islem Rekik; Alzheimer's Disease Neuroimaging Initiative (Comput. Medical Imaging Graph., 2023)

Federated Brain Graph Evolution Prediction Using Decentralized Connectivity Datasets With Temporally-Varying Acquisitions. - Zeynep Gürler; Islem Rekik (IEEE Trans. Medical Imaging, 2023)