Screening of Moderate Traumatic Brain Injury from Power Feature of Resting State Electroencephalography using Support Vector Machine. - Chi Qin Lai; Mohd Zaid Abdullah; Jafri Malin Abdullah; Azlinda Azman; Haidi Ibrahim (EEET, 2019)

Arrangements of Resting State Electroencephalography as the Input to Convolutional Neural Network for Biometric Identification. - Chi Qin Lai; Haidi Ibrahim; Mohd Zaid Abdullah; Jafri Malin Abdullah; Shahrel Azmin Suandi; Azlinda Azman (Comput. Intell. Neurosci., 2019)

Detection of Moderate Traumatic Brain Injury from Resting-State Eye-Closed Electroencephalography. - Chi Qin Lai; Haidi Ibrahim; Aini Ismafairus Abd Hamid; Mohd Zaid Abdullah; Azlinda Azman; Jafri Malin Abdullah (Comput. Intell. Neurosci., 2020)

Classification of Non-Severe Traumatic Brain Injury from Resting-State EEG Signal Using LSTM Network with ECOC-SVM. - Chi Qin Lai; Haidi Ibrahim; Aini Ismafairus Abd Hamid; Jafri Malin Abdullah (Sensors, 2020)

Convolutional Neural Network with Hidden Markov Model to Identify Non-severe Traumatic Brain Injury from Electroencephalography. - Chi Qin Lai; Azlinda Azman; Jafri Malin Abdullah; Haidi Ibrahim (RoViSP, 2021)

Convolutional Neural Network Utilizing Error-Correcting Output Codes Support Vector Machine for Classification of Non-Severe Traumatic Brain Injury From Electroencephalogram Signal. - Chi Qin Lai; Haidi Ibrahim; Jafri Malin Abdullah; Azlinda Azman; Mohd Zaid Abdullah (IEEE Access, 2021)

LSTM network as a screening tool to detect moderate traumatic brain injury from resting-state electroencephalogram. - Chi Qin Lai; Haidi Ibrahim; Aini Ismafairus Abd Hamid; Jafri Malin Abdullah (Expert Syst. Appl., 2022)

A Long Short-Term Memory Network Using Resting-State Electroencephalogram to Predict Outcomes Following Moderate Traumatic Brain Injury. - Nor Safira Elaina Mohd Noor; Haidi Ibrahim; Chi Qin Lai; Jafri Malin Abdullah (Comput., 2023)