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Jamie Pordoy | Researcher

Journal Publications

  1. Jones, G., Pordoy, J., Matoorian, N., Zolgharni, M., Dadashiserej, D., Evans, M. (2023, Under Revision). Enhanced Non-EEG Multimodal Seizure Detection: A Real-World Model for Identifying Generalised Seizures Across The Ictal State. IEEE Journal of Biomedical and Health Informatics.

  2. Jones, G., Pordoy, J., Matoorian, N., Zolgharni, M., Dadashiserej, D. (2023, Under Revision). The Open Seizure Database Facilitating Research Into Non-EEG Seizure Detection. IEEE Journal of Biomedical and Health Informatics.

  3. Pordoy, J., Zhang, Y., Matoorian, N., Zolgharni, M. (2020). Predicting Epileptic Seizures with a Stacked Long Short-Term Memory Network. International Journal of Auto AI and Machine Learning, 1(1), 93–108.

  4. Pordoy, J., Zhang, Y., Matoorian, N., Zolgharni, M. (2020). Seizure Classification Using Person-Specific Triggers. EAI Endorsed Transactions on Collaborative Computing, 18(3), 168650.

Conference Proceedings

  1. Pordoy, J., Zhang, Y., Matoorian, N., Zolgharni, M. (2020). Seizure Classification Using Person-Specific Triggers. EAI Endorsed Transactions on Collaborative Computing, 18(3).

  2. Alajrami, E., Naidoo, P., Pordoy, J., et al. Deep Active Learning for Left Ventricle Segmentation in Echocardiography, in Functional Imaging and Modeling of the Heart, Intelligent Sensing and Vision Lab, June 2023, DOI: 10.1007/978-3-031-35302-4_29.

Datasets

  1. Jones, G., Pordoy, J., August 14, 2023, Open Seizure Database v1.0.0, IEEE Dataport, doi: 10.21227/jftq-3e97.