Mayssa Soussia

University of Dundee High-order Connectomic Manifold Learning for Autistic Brain State Identification Soussia, Mayssa ; Rekik, Islem

I. Rekik, Mayssa Soussia, 2017 .

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

Islem Rekik, Mayssa Soussia, I. Rekik, 2018, Front. Neuroinform..

High-order Connectomic Manifold Learning for Autistic Brain State Identification

Islem Rekik, Mayssa Soussia, I. Rekik, 2017, CNI@MICCAI.

Alterations of dynamic redundancy of functional brain subnetworks in Alzheimer’s disease and major depression disorders

P. Yap, Han Zhang, Weixiong Jiang, 2021, NeuroImage: Clinical.

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

Islem Rekik, Mayssa Soussia, I. Rekik, 2019, PRIME@MICCAI.

A Review on Image- and Network-based Brain Data Analysis Techniques for Alzheimer's Disease Diagnosis Reveals a Gap in Developing Predictive Methods for Prognosis

Islem Rekik, Mayssa Soussia, I. Rekik, 2018, 1808.01951.

High-order Connectomic Manifold Learning for Autistic Brain State Identification

I. Rekik, Mayssa Soussia, 2017, CNI@MICCAI.