Inter-ictal Seizure Onset Zone localization using unsupervised clustering and Bayesian Filtering. - Yogatheesan Varatharajah; Brent M. Berry; Zbigniew T. Kalbarczyk; Benjamin H. Brinkmann; Gregory A. Worrell; Ravishankar K. Iyer (NER, 2017)

EEG-GRAPH: A Factor-Graph-Based Model for Capturing Spatial, Temporal, and Observational Relationships in Electroencephalograms. - Yogatheesan Varatharajah; Min Jin Chong; Krishnakant V. Saboo; Brent M. Berry; Benjamin H. Brinkmann; Gregory A. Worrell; Ravishankar K. Iyer (NIPS, 2017)

Seizure Forecasting and the Preictal State in Canine Epilepsy. - Yogatheesan Varatharajah; Ravishankar K. Iyer; Brent M. Berry; Gregory A. Worrell; Benjamin H. Brinkmann (Int. J. Neural Syst., 2017)

A Contextual-bandit-based Approach for Informed Decision-making in Clinical Trials. - Yogatheesan Varatharajah; Brent M. Berry; Sanmi Koyejo; Ravishankar K. Iyer (CoRR, 2018)

Integrating Artificial Intelligence with Real-time Intracranial EEG Monitoring to Automate Interictal Identification of Seizure Onset Zones in Focal Epilepsy. - Yogatheesan Varatharajah; Brent M. Berry; Jan Cimbalnik; Václav Kremen; Jamie Van Gompel; Matt Stead; Benjamin H. Brinkmann; Ravishankar K. Iyer; Gregory A. Worrell (CoRR, 2018)

A Joint Model for Predicting Structural and Functional Brain Health in Elderly Individuals. - Yogatheesan Varatharajah; Krishnakant V. Saboo; Ravishankar K. Iyer; Scott A. Przybelski; Christopher G. Schwarz; Ronald C. Petersen; Clifford R. Jack; Prashanthi Vemuri (BIBM, 2019)

A Computationally Efficient Model for Predicting Successful Memory Encoding Using Machine-Learning-based EEG Channel Selection. - 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; et al. (NER, 2019)

Electrophysiological Correlates of Brain Health Help Diagnose Epilepsy and Lateralize Seizure Focus. - Yogatheesan Varatharajah; Brent M. Berry; Boney Joseph; Irena Balzekas; Václav Kremen; Benjamin H. Brinkmann; Gregory A. Worrell; Ravishankar K. Iyer (EMBC, 2020)

Predicting Longitudinal Cognitive Scores Using Baseline Imaging and Clinical Variables. - Krishnakant V. Saboo; Chang Hu; Yogatheesan Varatharajah; Prashanthi Vemuri; Ravishankar K. Iyer (ISBI, 2020)

EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network. - Neeraj Wagh; Yogatheesan Varatharajah (ML4H@NeurIPS, 2020)

A Dynamic Human-in-the-loop Recommender System for Evidence-based Clinical Staging of COVID-19. - Yogatheesan Varatharajah; Haotian Chen; Andrew Trotter; Ravishankar K. Iyer (HealthRecSys@RecSys, 2020)

Learning more with less data using domain-guided machine learning: the case for health data analytics - Yogatheesan Varatharajah (2020)

Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability. - Neeraj Wagh; Jionghao Wei; Samarth Rawal; Brent M. Berry; Leland Barnard; Benjamin H. Brinkmann; Gregory A. Worrell; David T. Jones; Yogatheesan Varatharajah (ML4H@NeurIPS, 2021)

SCORE-IT: A Machine Learning-based Tool for Automatic Standardization of EEG Reports. - Samarth Rawal; Yogatheesan Varatharajah (CoRR, 2021)

Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts. - Neeraj Wagh; Jionghao Wei; Samarth Rawal; Brent M. Berry; Yogatheesan Varatharajah (NeurIPS, 2022)

Assessing Robustness of EEG Representations under Data-shifts via Latent Space and Uncertainty Analysis. - Neeraj Wagh; Jionghao Wei; Samarth Rawal; Brent M. Berry; Yogatheesan Varatharajah (CoRR, 2022)

Deep learning identifies brain structures that predict cognition and explain heterogeneity in cognitive aging. - 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; et al. (NeuroImage, 2022)

Tensor Decomposition of Large-scale Clinical EEGs Reveals Interpretable Patterns of Brain Physiology. - Teja Gupta; Neeraj Wagh; Samarth Rawal; Brent M. Berry; Gregory A. Worrell; Yogatheesan Varatharajah (NER, 2023)

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

EEG Foundation Models: A Critical Review of Current Progress and Future Directions. - Gayal Kuruppu; Neeraj Wagh; Yogatheesan Varatharajah (CoRR, 2025)

Improving Out-of-distribution Human Activity Recognition via IMU-Video Cross-modal Representation Learning. - Seyyed Saeid Cheshmi; Buyao Lyu; Thomas Lisko; Rajesh Rajamani; Robert A. McGovern; Yogatheesan Varatharajah (CoRR, 2025)