Yogatheesan Varatharajah
Orcid: 0000-0002-4547-0036
According to our database1,
Yogatheesan Varatharajah
authored at least 18 papers
between 2017 and 2023.
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Bibliography
2023
Tensor Decomposition of Large-scale Clinical EEGs Reveals Interpretable Patterns of Brain Physiology.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023
2022
Deep learning identifies brain structures that predict cognition and explain heterogeneity in cognitive aging.
NeuroImage, 2022
Assessing Robustness of EEG Representations under Data-shifts via Latent Space and Uncertainty Analysis.
CoRR, 2022
Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
SCORE-IT: A Machine Learning-based Tool for Automatic Standardization of EEG Reports.
CoRR, 2021
Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability.
Proceedings of the Machine Learning for Health, 2021
2020
Learning more with less data using domain-guided machine learning: the case for health data analytics
PhD thesis, 2020
A Dynamic Human-in-the-loop Recommender System for Evidence-based Clinical Staging of COVID-19.
Proceedings of the 5th International Workshop on Health Recommender Systems co-located with the 14th ACM Conference on Recommender Systems 2020 (RecSys 2020), 2020
EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network.
Proceedings of the Machine Learning for Health Workshop, 2020
Predicting Longitudinal Cognitive Scores Using Baseline Imaging and Clinical Variables.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Electrophysiological Correlates of Brain Health Help Diagnose Epilepsy and Lateralize Seizure Focus.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
A Computationally Efficient Model for Predicting Successful Memory Encoding Using Machine-Learning-based EEG Channel Selection.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
A Joint Model for Predicting Structural and Functional Brain Health in Elderly Individuals.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Integrating Artificial Intelligence with Real-time Intracranial EEG Monitoring to Automate Interictal Identification of Seizure Onset Zones in Focal Epilepsy.
CoRR, 2018
CoRR, 2018
2017
Int. J. Neural Syst., 2017
EEG-GRAPH: A Factor-Graph-Based Model for Capturing Spatial, Temporal, and Observational Relationships in Electroencephalograms.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Inter-ictal Seizure Onset Zone localization using unsupervised clustering and Bayesian Filtering.
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017