Automatic EEG eyeblink artefact identification and removal technique using independent component analysis in combination with support vector machines and denoising autoencoder. - Souvik Phadikar; Nidul Sinha; Rajdeep Ghosh (IET Signal Process., 2020)

Automatic Eyeblink Artifact Removal From EEG Signal Using Wavelet Transform With Heuristically Optimized Threshold. - Souvik Phadikar; Nidul Sinha; Rajdeep Ghosh (IEEE J. Biomed. Health Informatics, 2021)

Automated Feature Extraction on AsMap for Emotion Classification using EEG. - Md. Zaved Iqubal Ahmed; Nidul Sinha; Souvik Phadikar (CoRR, 2022)

Automated Feature Extraction on AsMap for Emotion Classification Using EEG. - Md. Zaved Iqubal Ahmed; Nidul Sinha; Souvik Phadikar; Ebrahim Ghaderpour (Sensors, 2022)

Automatic Muscle Artifacts Identification and Removal from Single-Channel EEG Using Wavelet Transform with Meta-Heuristically Optimized Non-Local Means Filter. - Souvik Phadikar; Nidul Sinha; Rajdeep Ghosh; Ebrahim Ghaderpour (Sensors, 2022)

Classification of Silent Speech in English and Bengali Languages Using Stacked Autoencoder. - Rajdeep Ghosh; Nidul Sinha; Souvik Phadikar (SN Comput. Sci., 2022)

Unsupervised feature extraction with autoencoders for EEG based multiclass motor imagery BCI. - Souvik Phadikar; Nidul Sinha; Rajdeep Ghosh (Expert Syst. Appl., 2023)

Coupling between Time-Varying EEG Spectral Bands and Spatial Dynamic FMRI Networks. - Souvik Phadikar; Krishna Pusuluri; Kyle M. Jensen; Lei Wu 013; Armin Iraji; Vince D. Calhoun (ISBI, 2024)