Normalization of Multimodal Brain Networks for Integral and Predictive Mapping of Neurological Disorders

Informations projet

NormNets

N° de convention de subvention: 101003403

DOI 10.3030/101003403

Projet clôturé

Date de signature de la CE 20 Mars 2020

Date de début 1 Avril 2020

Date de fin 31 Mars 2022

Financé au titre de

• SPREADING EXCELLENCE AND WIDENING PARTICIPATION

Coût total € 145 355,52

Contribution de l’UE € 145 355,52

Coordonné par

ISTANBUL TEKNIK UNIVERSITESI
Türkiye

Publications

Peer reviewed articles (3)

MGN-Net: A multi-view graph normalizer for integrating heterogeneous biological network populations

Auteurs: Mustafa Burak Gurbuz and Islem Rekik
Publié dans: Medical Image Analysis, 2021, Page(s) 102059, ISSN 1361-8415
Éditeur: Elsevier BV
DOI: 10.1016/j.media.2021.102059

Estimation of gender-specific connectional brain templates using joint multi-view cortical morphological network integration

Auteurs: Nada Chaari; Hatice Camgöz Akdağ; Islem Rekik; Islem Rekik
Publié dans: Brain Imaging and Behavior, 2021, ISSN 1931-7557
Éditeur: Springer Pub. Co.,
DOI: 10.1007/s11682-020-00404-5

A diagnostic unified classification model for classifying multi-sized and multi-modal brain graphs using graph alignment

Auteurs: AbdullahYalçin and Islem Rekik
Publié dans: Journal of Neuroscience Methods, 2020, ISSN 0165-0270
Éditeur: Elsevier BV
DOI: 10.1016/j.jneumeth.2020.109014

Conference proceedings (6)

A Federated Multigraph Integration Approach for Connectional Brain Template Learning

Auteurs: Hızır Can Bayram and Islem Rekik
Publié dans: International Workshop on Multimodal Learning for Clinical Decision Support, 2021
Éditeur: Springer
DOI: 10.1007/978-3-030-89847-2_4

Recurrent Multigraph Integrator Network for Predicting the Evolution of Population-Driven Brain Connectivity Templates

Auteurs: Oytun Demirbilek and Islem Rekik
Publié dans: International Conference on Medical Image Computing and Computer-Assisted Intervention, 2021, Page(s) 584--594
Éditeur: Springer
DOI: 10.1007/978-3-030-87234-2_55

FLAT-Net: Longitudinal Brain Graph Evolution Prediction from a Few Training Representative Templates

Auteurs: Guris Özen, Ahmed Nebli and Islem Rekik
Publié dans: International Workshop on PRedictive Intelligence In MEdicine, 2021, Page(s) 266-278
Éditeur: Springer
DOI: 10.1007/978-3-030-87602-9_25

One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution Prediction

Auteurs: Umut Guvercin, Mohammed Amine Gharsallaoui and Islem Rekik
Publié dans: International Workshop on PRedictive Intelligence In MEdicine, 2021, Page(s) 25--36
Éditeur: Springer
DOI: 10.1007/978-3-030-87602-9_3

Foreseeing Brain Graph Evolution over Time Using Deep Adversarial Network Normalizer

Auteurs: Zeynep Gürler, Ahmed Nebli and Islem Rekik
Publié dans: International Workshop on PRedictive Intelligence In MEdicine, 2020, Page(s) 111--122
Éditeur: Springer
DOI: 10.1007/978-3-030-59354-4_11

Deep graph normalizer: a geometric deep learning approach for estimating connectional brain templates

Auteurs: Mustafa Burak Gurbuz and Islem Rekik
Publié dans: International Conference on Medical Image Computing and Computer-Assisted Intervention, 2020, Page(s) 155--165
Éditeur: Springer
DOI: 10.1007/978-3-030-59728-3_16

Other (1)

Comparative Survey of Multigraph Integration Methods for Holistic Brain Connectivity Mapping

Auteurs: Nada Chaari, Hatice Camgoz Akdag and Islem Rekik
Publié dans: arXiv, 2022
Éditeur: arXiv
DOI: 10.48550/arxiv.2204.05110