269 citations · 1.3k across the 23 of their papers we have counts for
23 papers
Improving the Diagnosis of Psychiatric Disorders with Self-Supervised Graph State Space Models
Ahmed El Gazzar, Rajat Mani Thomas, Guido Van Wingen
Single subject prediction of brain disorders from neuroimaging data has gained increasing attention in recent years. Yet, for some heterogeneous disorders such as major depression…
Livestock Monitoring with Transformer
Bhavesh Tangirala, Ishan Bhandari, Daniel Laszlo +3
Tracking the behaviour of livestock enables early detection and thus prevention of contagious diseases in modern animal farms. Apart from economic gains, this would reduce the amou…
Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling
Ahmed El-Gazzar, Rajat Mani Thomas, Guido van Wingen
The characterisation of the brain as a functional network in which the connections between brain regions are represented by correlation values across time series has been very popu…
Detecting Pulsars with Neural Networks: A Proof of Concept
Lars Künkel, Rajat M. Thomas, Joris P. W. Verbiest
Pulsar searches are computationally demanding efforts to discover dispersed periodic signals in time- and frequency-resolved data from radio telescopes. The complexity and computat…
Improving Solar Cell Metallization Designs using Convolutional Neural Networks
Sumit Bhattacharya, Devanshu Arya, Debjani Bhowmick +2
Optimizing the design of solar cell metallizations is one of the ways to improve the performance of solar cells. Recently, it has been shown that Topology Optimization (TO) can be…
A Hybrid 3DCNN and 3DC-LSTM based model for 4D Spatio-temporal fMRI data: An ABIDE Autism Classification study
Ahmed El-Gazzar, Mirjam Quaak, Leonardo Cerliani +3
Functional Magnetic Resonance Imaging (fMRI) captures the temporal dynamics of neural activity as a function of spatial location in the brain. Thus, fMRI scans are represented as 4…