Mayssa Soussia

According to our database, Mayssa Soussia authored at least 8 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Reservoir-Based Graph Convolutional Networks.

Mayssa Soussia, Gita Ayu Salsabila, Mohamed Ali Mahjoub, Islem Rekik

IEEE Trans. Pattern Anal. Mach. Intell., July, 2026

2025

Multi-sensory Cognitive Computing for Learning Population-Level Brain Connectivity.

Mayssa Soussia, Mohamed Ali Mahjoub, Islem Rekik

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

CogGNN: Cognitive Graph Neural Networks in Generative Connectomics.

Mayssa Soussia, Yijun Lin, Mohamed Ali Mahjoub, Islem Rekik

Proceedings of the Deep Generative Models - 5th MICCAI Workshop, 2025

2024

Generative Hypergraph Neural Network for Multiview Brain Connectivity Fusion.

Mayssa Soussia, Mohamed Ali Mahjoub, Islem Rekik

Proceedings of the Predictive Intelligence in Medicine - 7th International Workshop, 2024

2020

A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy.

Mayssa Soussia, Xuyun Wen, Zhen Zhou, Bing Jin, Tae-Eui Kam, Li-Ming Hsu, Zhengwang Wu, Gang Li, Li Wang, Islem Rekik, Weili Lin, Dinggang Shen, Han Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

7 Years of Developing Seed Techniques for Alzheimer's Disease Diagnosis Using Brain Image and Connectivity Data Largely Bypassed Prediction for Prognosis.

Mayssa Soussia, Islem Rekik

Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019

2018

Unsupervised Manifold Learning Using High-Order Morphological Brain Networks Derived From T1-w MRI for Autism Diagnosis.

Mayssa Soussia, Islem Rekik

Frontiers Neuroinformatics, 2018

2017

High-order Connectomic Manifold Learning for Autistic Brain State Identification.

Mayssa Soussia, Islem Rekik

Proceedings of the Connectomics in NeuroImaging - First International Workshop, 2017