Yogatheesan Varatharajah

Orcid: 0000-0002-4547-0036

According to our database1, Yogatheesan Varatharajah authored at least 19 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
SEEG4D: a tool for 4D visualization of stereoelectroencephalography data.
Frontiers Neuroinformatics, 2024

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

A Contextual-bandit-based Approach for Informed Decision-making in Clinical Trials.
CoRR, 2018

2017
Seizure Forecasting and the Preictal State in Canine Epilepsy.
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


  Loading...