61 citations · 70 across the 5 of their papers we have counts for
6 papers
Continental generalization of an AI system for clinical seizure recognition
Yikai Yang, Nhan Duy Truong, Christina Maher +2
Electroencephalogram (EEG) monitoring and objective seizure identification is an essential clinical investigation for some patients with epilepsy. Accurate annotation is done throu…
Epileptic Seizure Forecasting: Probabilistic seizure-risk assessment and data-fusion
Nhan Duy Truong, Yikai Yang, Christina Maher +2
Epileptic seizure forecasting, combined with the delivery of preventative therapies, holds the potential to greatly improve the quality of life for epilepsy patients and their care…
Epileptic Seizure Classification with Symmetric and Hybrid Bilinear Models
Tennison Liu, Nhan Duy Truong, Armin Nikpour +2
Epilepsy affects nearly 1% of the global population, of which two thirds can be treated by anti-epileptic drugs and a much lower percentage by surgery. Diagnostic procedures for ep…
Semi-supervised Seizure Prediction with Generative Adversarial Networks
Nhan Duy Truong, Levin Kuhlmann, Mohammad Reza Bonyadi +1
In this article, we propose an approach that can make use of not only labeled EEG signals but also the unlabeled ones which is more accessible. We also suggest the use of data fusi…
A Generalised Seizure Prediction with Convolutional Neural Networks for Intracranial and Scalp Electroencephalogram Data Analysis
Nhan Duy Truong, Anh Duy Nguyen, Levin Kuhlmann +3
Seizure prediction has attracted a growing attention as one of the most challenging predictive data analysis efforts in order to improve the life of patients living with drug-resis…
Supervised Learning in Automatic Channel Selection for Epileptic Seizure Detection
Nhan Truong, Levin Kuhlmann, Mohammad Reza Bonyadi +3
Detecting seizure using brain neuroactivations recorded by intracranial electroencephalogram (iEEG) has been widely used for monitoring, diagnosing, and closed-loop therapy of epil…