MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG ClassificationPhairot Autthasan, Theerawit Wilaiprasitporn, Rattanaphon Chaisaen et al.|IEEE Transactions on Biomedical Engineering|2021Cited by 175
EEGWaveNet: Multiscale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure DetectionPunnawish Thuwajit, Theerawit Wilaiprasitporn, Phurin Rangpong et al.|IEEE Transactions on Industrial Informatics|2021Cited by 159
Decoding EEG Rhythms During Action Observation, Motor Imagery, and Execution for Standing and SittingRattanaphon Chaisaen, Theerawit Wilaiprasitporn, Phairot Autthasan et al.|IEEE Sensors Journal|2020Cited by 117
Sensor-Driven Achieving of Smart Living: A ReviewPitshaporn Leelaarporn, Theerawit Wilaiprasitporn, Kamonwan Thanontip et al.|IEEE Sensors Journal|2021Cited by 61
MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery EEG ClassificationPhairot Autthasan, Theerawit Wilaiprasitporn, Rattanaphon Chaisaen et al.|IEEE Internet of Things Journal|2024Cited by 22