Bi-Directional Gated Recurrent Unit Based Ensemble Model for the Early Detection of Sepsis. - Sajila D. Wickramaratne; Md Shaad Mahmud (EMBC, 2020)

Automatic Detection of Respiratory Effort Related Arousals With Deep Neural Networks From Polysomnographic Recordings. - Sajila D. Wickramaratne; Md Shaad Mahmud (EMBC, 2020)

A Deep Learning Based Ternary Task Classification System Using Gramian Angular Summation Field in fNIRS Neuroimaging Data. - Sajila D. Wickramaratne; Md Shaad Mahmud (HealthCom, 2020)

Use of Brain Electrical Activity to Classify People with Concussion: A Deep Learning Approach. - Sajila D. Wickramaratne; Md Shaad Mahmud; Robert S. Ross (ICC, 2020)

LSTM based GAN Networks for Enhancing Ternary Task Classification Using fNIRS Data. - Sajila D. Wickramaratne; Md Shaad Mahmud (EMBC, 2021)

A Ternary Bi-Directional LSTM Classification for Brain Activation Pattern Recognition Using fNIRS. - Sajila D. Wickramaratne; Md Shaad Mahmud (CoRR, 2021)

Conditional-GAN Based Data Augmentation for Deep Learning Task Classifier Improvement Using fNIRS Data. - Sajila D. Wickramaratne; Md Shaad Mahmud (Frontiers Big Data, 2021)

SleepSIM: Conditional GAN-based non-REM sleep EEG Signal Generator. - Sajila D. Wickramaratne; Ankit Parekh (EMBC, 2023)

Machine Learning Model Combining Ventilatory, Hypoxic, Arousal Domains Across Sleep Better Predicts Adverse Consequences of Obstructive Sleep Apnea. - Sajila D. Wickramaratne; Kam Korey; Thomas M. Tolbert; Andrew W. Varga; Indu Ayappa; David M. Rapoport; Ankit Parekh (EMBC, 2024)