Rajat Mani Thomas

According to our database, Rajat Mani Thomas authored at least 9 papers between 2019 and 2022.

Collaborative distances:

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

2022

Benchmarking Graph Neural Networks for FMRI analysis.

Ahmed El Gazzar, Rajat Mani Thomas, Guido van Wingen

CoRR, 2022

Improving the Diagnosis of Psychiatric Disorders with Self-Supervised Graph State Space Models.

Ahmed El Gazzar, Rajat Mani Thomas, Guido A. van Wingen

CoRR, 2022

fMRI-S4: Learning Short- and Long-Range Dynamic fMRI Dependencies Using 1D Convolutions and State Space Models.

Ahmed El Gazzar, Rajat Mani Thomas, Guido van Wingen

Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022

2021

Improving Solar Cell Metallization Designs using Convolutional Neural Networks.

Sumit Bhattacharya, Devanshu Arya, Debjani Bhowmick, Rajat Mani Thomas, Deepak Kumar Gupta

CoRR, 2021

Dynamic Adaptive Spatio-Temporal Graph Convolution for fMRI Modelling.

Ahmed El Gazzar, Rajat Mani Thomas, Guido van Wingen

Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021

Livestock Monitoring with Transformer.

Bhavesh Tangirala, Ishan Bhandari, Dániel László, Deepak K. Gupta, Rajat Mani Thomas, Devanshu Arya

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification.

Devanshu Arya, Richard Olij, Deepak K. Gupta, Ahmed El Gazzar, Guido van Wingen, Marcel Worring, Rajat Mani Thomas

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

2019

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, Peter Bloem, Guido van Wingen, Rajat Mani Thomas

Proceedings of the OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging, 2019

Simple 1-D Convolutional Networks for Resting-State fMRI Based Classification in Autism.

Ahmed El Gazzar, Leonardo Cerliani, Guido van Wingen, Rajat Mani Thomas

Proceedings of the International Joint Conference on Neural Networks, 2019