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11/16/2022
Benchmarking Graph Neural Networks for FMRI analysis
Graph Neural Networks (GNNs) have emerged as a powerful tool to learn fr...
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08/08/2022
fMRI-S4: learning short- and long-range dynamic fMRI dependencies using 1D Convolutions and State Space Models
Single-subject mapping of resting-state brain functional activity to non...
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06/07/2022
Improving the Diagnosis of Psychiatric Disorders with Self-Supervised Graph State Space Models
Single subject prediction of brain disorders from neuroimaging data has ...
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09/26/2021
Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling
The characterisation of the brain as a functional network in which the c...
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02/14/2020
A Hybrid 3DCNN and 3DC-LSTM based model for 4D Spatio-temporal fMRI data: An ABIDE Autism Classification study
Functional Magnetic Resonance Imaging (fMRI) captures the temporal dynam...
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07/02/2019