Yogatheesan Varatharajah

24 papers A* 1Journal 11Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	EEG Foundation Models: A Critical Review of Current Progress and Future Directions. CoRR Gayal Kuruppu, Neeraj Wagh, Yogatheesan Varatharajah
2025	—	`conf`	Improving Out-of-distribution Human Activity Recognition via IMU-Video Cross-modal Representation Learning. MLHC Seyyed Saeid Cheshmi, Buyao Lyu, Thomas Lisko, Rajesh Rajamani, Robert A. McGovern, Yogatheesan Varatharajah
2025	J	`jnl`	Improving Out-of-distribution Human Activity Recognition via IMU-Video Cross-modal Representation Learning. CoRR Seyyed Saeid Cheshmi, Buyao Lyu, Thomas Lisko, Rajesh Rajamani, Robert A. McGovern, Yogatheesan Varatharajah
2024	J	`jnl`	SEEG4D: a tool for 4D visualization of stereoelectroencephalography data. Frontiers Neuroinformatics James L. Evans, Matthew T. Bramlet, Connor Davey, Eliot B. Bethke, Aaron T. Anderson, Graham Huesmann, Yogatheesan Varatharajah, Andrés Maldonado, Jennifer R. Amos, Bradley P. Sutton
2023	—	`conf`	Tensor Decomposition of Large-scale Clinical EEGs Reveals Interpretable Patterns of Brain Physiology. NER Teja Gupta, Neeraj Wagh, Samarth Rawal, Brent M. Berry, Gregory A. Worrell, Yogatheesan Varatharajah
2022	J	`jnl`	Assessing Robustness of EEG Representations under Data-shifts via Latent Space and Uncertainty Analysis. CoRR Neeraj Wagh, Jionghao Wei, Samarth Rawal, Brent M. Berry, Yogatheesan Varatharajah
2022	J	`jnl`	Deep learning identifies brain structures that predict cognition and explain heterogeneity in cognitive aging. NeuroImage Krishnakant V. Saboo, Chang Hu, Yogatheesan Varatharajah, Scott A. Przybelski, Robert I. Reid, Christopher G. Schwarz, Jonathan Graff-Radford, David S. Knopman, Mary M. Machulda, Michelle M. Mielke, Ronald C. Petersen, Paul M. Arnold, Gregory A. Worrell, David T. Jones, Clifford R. Jack Jr., Ravishankar K. Iyer, Prashanthi Vemuri
2022	A*	`conf`	Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts. NeurIPS Neeraj Wagh, Jionghao Wei, Samarth Rawal, Brent M. Berry, Yogatheesan Varatharajah
2022	J	`jnl`	Tensor Decomposition of Large-scale Clinical EEGs Reveals Interpretable Patterns of Brain Physiology. CoRR Teja Gupta, Neeraj Wagh, Samarth Rawal, Brent M. Berry, Gregory A. Worrell, Yogatheesan Varatharajah
2021	—	`conf`	Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability. ML4H@NeurIPS Neeraj Wagh, Jionghao Wei, Samarth Rawal, Brent M. Berry, Leland Barnard, Benjamin H. Brinkmann, Gregory A. Worrell, David T. Jones, Yogatheesan Varatharajah
2021	J	`jnl`	SCORE-IT: A Machine Learning-based Tool for Automatic Standardization of EEG Reports. CoRR Samarth Rawal, Yogatheesan Varatharajah
2020	—	`conf`	A Dynamic Human-in-the-loop Recommender System for Evidence-based Clinical Staging of COVID-19. HealthRecSys@RecSys Yogatheesan Varatharajah, Haotian Chen, Andrew Trotter, Ravishankar K. Iyer
2020	—	`conf`	EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network. ML4H@NeurIPS Neeraj Wagh, Yogatheesan Varatharajah
2020	J	`jnl`	EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network. CoRR Neeraj Wagh, Yogatheesan Varatharajah
2020	—	`conf`	Electrophysiological Correlates of Brain Health Help Diagnose Epilepsy and Lateralize Seizure Focus. EMBC Yogatheesan Varatharajah, Brent M. Berry, Boney Joseph, Irena Balzekas, Václav Kremen, Benjamin H. Brinkmann, Gregory A. Worrell, Ravishankar K. Iyer
2020	—	`—`	Learning more with less data using domain-guided machine learning: the case for health data analytics Yogatheesan Varatharajah
2020	—	`conf`	Predicting Longitudinal Cognitive Scores Using Baseline Imaging and Clinical Variables. ISBI Krishnakant V. Saboo, Chang Hu, Yogatheesan Varatharajah, Prashanthi Vemuri, Ravishankar K. Iyer
2019	—	`conf`	A Computationally Efficient Model for Predicting Successful Memory Encoding Using Machine-Learning-based EEG Channel Selection. NER Krishnakant V. Saboo, Yogatheesan Varatharajah, Brent M. Berry, Michael R. Sperling, Richard J. T. Gorniak, Kathryn A. Davis, Barbara C. Jobst, Robert E. Gross, Bradley Lega, Sameer A. Sheth, Michael J. Kahana, Michal T. Kucewicz, Gregory A. Worrell, Ravishankar K. Iyer
2019	—	`conf`	A Joint Model for Predicting Structural and Functional Brain Health in Elderly Individuals. BIBM Yogatheesan Varatharajah, Krishnakant V. Saboo, Ravishankar K. Iyer, Scott A. Przybelski, Christopher G. Schwarz, Ronald C. Petersen, Clifford R. Jack, Prashanthi Vemuri
2018	J	`jnl`	A Contextual-bandit-based Approach for Informed Decision-making in Clinical Trials. CoRR Yogatheesan Varatharajah, Brent M. Berry, Sanmi Koyejo, Ravishankar K. Iyer
2018	J	`jnl`	Integrating Artificial Intelligence with Real-time Intracranial EEG Monitoring to Automate Interictal Identification of Seizure Onset Zones in Focal Epilepsy. CoRR Yogatheesan Varatharajah, Brent M. Berry, Jan Cimbalnik, Václav Kremen, Jamie Van Gompel, Matt Stead, Benjamin H. Brinkmann, Ravishankar K. Iyer, Gregory A. Worrell
2017	—	`conf`	EEG-GRAPH: A Factor-Graph-Based Model for Capturing Spatial, Temporal, and Observational Relationships in Electroencephalograms. NIPS Yogatheesan Varatharajah, Min Jin Chong, Krishnakant V. Saboo, Brent M. Berry, Benjamin H. Brinkmann, Gregory A. Worrell, Ravishankar K. Iyer
2017	—	`conf`	Inter-ictal Seizure Onset Zone localization using unsupervised clustering and Bayesian Filtering. NER Yogatheesan Varatharajah, Brent M. Berry, Zbigniew T. Kalbarczyk, Benjamin H. Brinkmann, Gregory A. Worrell, Ravishankar K. Iyer
2017	J	`jnl`	Seizure Forecasting and the Preictal State in Canine Epilepsy. Int. J. Neural Syst. Yogatheesan Varatharajah, Ravishankar K. Iyer, Brent M. Berry, Gregory A. Worrell, Benjamin H. Brinkmann