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Islem Rekik

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Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data

Jan 08, 2024
Michalis Pistos, Gang Li, Weili Lin, Dinggang Shen, Islem Rekik

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Replica Tree-based Federated Learning using Limited Data

Dec 28, 2023
Ramona Ghilea, Islem Rekik

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FALCON: Feature-Label Constrained Graph Net Collapse for Memory Efficient GNNs

Dec 27, 2023
Christopher Adnel, Islem Rekik

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Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision

Oct 28, 2023
Bobby Azad, Reza Azad, Sania Eskandari, Afshin Bozorgpour, Amirhossein Kazerouni, Islem Rekik, Dorit Merhof

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Population Template-Based Brain Graph Augmentation for Improving One-Shot Learning Classification

Dec 14, 2022
Oben Özgür, Arwa Rekik, Islem Rekik

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Predicting Shape Development: a Riemannian Method

Dec 09, 2022
Doğa Türkseven, Islem Rekik, Christoph von Tycowicz, Martin Hanik

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Meta-RegGNN: Predicting Verbal and Full-Scale Intelligence Scores using Graph Neural Networks and Meta-Learning

Sep 14, 2022
Imen Jegham, Islem Rekik

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Investigating the Predictive Reproducibility of Federated Graph Neural Networks using Medical Datasets

Sep 13, 2022
Mehmet Yigit Balik, Arwa Rekik, Islem Rekik

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Deep Cross-Modality and Resolution Graph Integration for Universal Brain Connectivity Mapping and Augmentation

Sep 13, 2022
Ece Cinar, Sinem Elif Haseki, Alaa Bessadok, Islem Rekik

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