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Rajat Mani Thomas
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2020 – today
- 2022
- [c6]Ahmed El Gazzar, Rajat Mani Thomas, Guido van Wingen:
fMRI-S4: Learning Short- and Long-Range Dynamic fMRI Dependencies Using 1D Convolutions and State Space Models. MLCN@MICCAI 2022: 158-168 - [i8]Ahmed El Gazzar, Rajat Mani Thomas, Guido A. van Wingen:
Improving the Diagnosis of Psychiatric Disorders with Self-Supervised Graph State Space Models. CoRR abs/2206.03331 (2022) - [i7]Ahmed El Gazzar, Rajat Mani Thomas, Guido A. van Wingen:
fMRI-S4: learning short- and long-range dynamic fMRI dependencies using 1D Convolutions and State Space Models. CoRR abs/2208.04166 (2022) - [i6]Ahmed El Gazzar, Rajat Mani Thomas, Guido van Wingen:
Benchmarking Graph Neural Networks for FMRI analysis. CoRR abs/2211.08927 (2022) - 2021
- [c5]Bhavesh Tangirala, Ishan Bhandari, Dániel László, Deepak K. Gupta, Rajat Mani Thomas, Devanshu Arya:
Livestock Monitoring with Transformer. BMVC 2021: 323 - [c4]Ahmed El Gazzar, Rajat Mani Thomas, Guido van Wingen:
Dynamic Adaptive Spatio-Temporal Graph Convolution for fMRI Modelling. MLCN@MICCAI 2021: 125-134 - [i5]Sumit Bhattacharya, Devanshu Arya, Debjani Bhowmick, Rajat Mani Thomas, Deepak Kumar Gupta:
Improving Solar Cell Metallization Designs using Convolutional Neural Networks. CoRR abs/2104.04017 (2021) - [i4]Ahmed El Gazzar, Rajat Mani Thomas, Guido van Wingen:
Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling. CoRR abs/2109.12517 (2021) - [i3]Bhavesh Tangirala, Ishan Bhandari, Dániel László, Deepak K. Gupta, Rajat Mani Thomas, Devanshu Arya:
Livestock Monitoring with Transformer. CoRR abs/2111.00801 (2021) - 2020
- [c3]Devanshu Arya, Richard Olij, Deepak K. Gupta, Ahmed El Gazzar, Guido van Wingen, Marcel Worring, Rajat Mani Thomas:
Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification. MIDL 2020: 44-61 - [i2]Ahmed El Gazzar, Mirjam Quaak, Leonardo Cerliani, Peter Bloem, Guido van Wingen, Rajat Mani Thomas:
A Hybrid 3DCNN and 3DC-LSTM based model for 4D Spatio-temporal fMRI data: An ABIDE Autism Classification study. CoRR abs/2002.05981 (2020)
2010 – 2019
- 2019
- [c2]Ahmed El Gazzar, Leonardo Cerliani, Guido van Wingen, Rajat Mani Thomas:
Simple 1-D Convolutional Networks for Resting-State fMRI Based Classification in Autism. IJCNN 2019: 1-6 - [c1]Ahmed El Gazzar, Mirjam Quaak, Leonardo Cerliani, Peter Bloem, Guido van Wingen, Rajat Mani Thomas:
A Hybrid 3DCNN and 3DC-LSTM Based Model for 4D Spatio-Temporal fMRI Data: An ABIDE Autism Classification Study. OR/MLCN@MICCAI 2019: 95-102 - [i1]Ahmed El Gazzar, Leonardo Cerliani, Guido van Wingen, Rajat Mani Thomas:
Simple 1-D Convolutional Networks for Resting-State fMRI Based Classification in Autism. CoRR abs/1907.01288 (2019)
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