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

Project Information

NormNets

Grant agreement ID: 101003403

DOI

10.3030/101003403

Project closed

EC signature date 20 March 2020

Start date 1 April 2020

End date 31 March 2022

Funded under

• SPREADING EXCELLENCE AND WIDENING PARTICIPATION

Total cost

€ 145 355,52

EU contribution

€ 145 355,52

Coordinated by

ISTANBUL TEKNIK UNIVERSITESI
Türkiye

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (3)

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

Author(s): Mustafa Burak Gurbuz and Islem Rekik
Published in: Medical Image Analysis, 2021, Page(s) 102059, ISSN 1361-8415
Publisher: Elsevier BV
DOI: 10.1016/j.media.2021.102059

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

Author(s): Nada Chaari; Hatice Camgöz Akdağ; Islem Rekik; Islem Rekik
Published in: Brain Imaging and Behavior, 2021, ISSN 1931-7557
Publisher: 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

Author(s): AbdullahYalçin and Islem Rekik
Published in: Journal of Neuroscience Methods, 2020, ISSN 0165-0270
Publisher: Elsevier BV
DOI: 10.1016/j.jneumeth.2020.109014

Conference proceedings (6)

A Federated Multigraph Integration Approach for Connectional Brain Template Learning

Author(s): Hızır Can Bayram and Islem Rekik
Published in: International Workshop on Multimodal Learning for Clinical Decision Support, 2021
Publisher: Springer
DOI: 10.1007/978-3-030-89847-2_4

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

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

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

Author(s): Guris Özen, Ahmed Nebli and Islem Rekik
Published in: International Workshop on PRedictive Intelligence In MEdicine, 2021, Page(s) 266-278
Publisher: 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

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

Foreseeing Brain Graph Evolution over Time Using Deep Adversarial Network Normalizer

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

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

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

Other (1)

Comparative Survey of Multigraph Integration Methods for Holistic Brain Connectivity Mapping

Author(s): Nada Chaari, Hatice Camgoz Akdag and Islem Rekik
Published in: arXiv, 2022
Publisher: arXiv
DOI: 10.48550/arxiv.2204.05110