Philippa J. Karoly

According to our database, Philippa J. Karoly authored at least 8 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Inference-based time-resolved chaos analysis of brain models: application to focal epilepsy.

Yun Zhao, David B. Grayden, Mario Boley, Yueyang Liu, Philippa J. Karoly, Mark J. Cook, Levin Kuhlmann

Proceedings of the 27th International Conference on Information Fusion, 2024

Forecasting events in multidimensional electroencephalographic brain data: Application to epileptic seizure prediction.

Yueyang Liu, Artemio Soto-Breceda, Mark J. Cook, Philippa J. Karoly, David B. Grayden, Levin Kuhlmann, Dean R. Freestone, Daniel Schmidt

Proceedings of the 27th International Conference on Information Fusion, 2024

2023

A Transfer Learning-based Model for Individualized Clustered Seizure Prediction Using Intracranial EEG.

Yurui Cao, Krishnakant V. Saboo, Václav Kremen, Vladimir Sladky, Nicholas M. Gregg, Paul M. Arnold, Suguna Pappu, Philippa J. Karoly, Dean R. Freestone, Mark J. Cook, Gregory A. Worrell, Ravishankar K. Iyer

Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

Model Parameter Estimation As Features to Predict the Duration of Epileptic Seizures From Onset.

Yueyang Liu, Siqi Xia, Artemio Soto-Breceda, Philippa J. Karoly, Mark J. Cook, David B. Grayden, Daniel Schmidt, Levin Kuhlmann

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Space-time resolved inference-based neurophysiological process imaging: Application to resting-state alpha rhythm.

Yun Zhao, Mario Boley, Andria Pelentritou, Philippa J. Karoly, Dean R. Freestone, Yueyang Liu, Suresh D. Muthukumaraswamy, William Woods, David T. J. Liley, Levin Kuhlmann

NeuroImage, 2022

Individualized seizure cluster prediction using machine learning and ambulatory intracranial EEG.

Krishnakant V. Saboo, Yurui Cao, Václav Kremen, Vladimir Sladky, Nicholas M. Gregg, Paul M. Arnold, Philippa J. Karoly, Dean R. Freestone, Mark J. Cook, Gregory A. Worrell, Ravishankar K. Iyer

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2020

A Convolutional Neural Network Model for Decoding EEG signals in a Hand-Squeeze Task¹.

Andi Partovi, Farhad Goodarzy, Ewan S. Nurse, Philippa J. Karoly, Dean Freeston, Mark J. Cook, Anthony N. Burkitt, David B. Grayden

Proceedings of the 8th International Winter Conference on Brain-Computer Interface, 2020

2018

Seizure pathways: A model-based investigation.

Philippa J. Karoly, Levin Kuhlmann, Daniel Soudry, David B. Grayden, Mark J. Cook, Dean R. Freestone

PLoS Comput. Biol., 2018