Multi-Center Validation Study of Automated Classification of Pathological Slowing in Adult Scalp Electroencephalograms Via Frequency Features. - Wei Yan Peh; John Thomas; Elham Bagheri; Rima Chaudhari; Sagar Karia; Rahul Rathakrishnan; Vinay Saini; Nilesh Shah; Rohit Srivastava; Yee-Leng Tan; Justin Dauwels (Int. J. Neural Syst., 2021)

Time-Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis. - Thangavel Prasanth; John Thomas; Wei Yan Peh; Jin Jing; Yuvaraj Rajamanickam; Sydney S. Cash; Rima Chaudhari; Sagar Karia; Rahul Rathakrishnan; Vinay Saini; Nilesh Shah; Rohit Srivastava; et al. (Int. J. Neural Syst., 2021)

Automated Adult Epilepsy Diagnostic Tool Based on Interictal Scalp Electroencephalogram Characteristics: A Six-Center Study. - John Thomas; Thangavel Prasanth; Wei Yan Peh; Jin Jing; Yuvaraj Rajamanickam; Sydney S. Cash; Rima Chaudhari; Sagar Karia; Rahul Rathakrishnan; Vinay Saini; Nilesh Shah; Rohit Srivastava; et al. (Int. J. Neural Syst., 2021)

Transformer Convolutional Neural Networks for Automated Artifact Detection in Scalp EEG. - Wei Yan Peh; Yuanyuan Yao 007; Justin Dauwels (EMBC, 2022)

Six-Center Assessment of CNN-Transformer with Belief Matching Loss for Patient-Independent Seizure Detection in EEG. - Wei Yan Peh; Thangavel Prasanth; Yuanyuan Yao 007; John Thomas; Yee-Leng Tan; Justin Dauwels (Int. J. Neural Syst., 2023)