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Signal Processing and Machine Learning for Brain-Computer/machine Interfaces, With Applications for Alternative Communication and Rehabilitation for Patients and Monitoring of Cognitive States

1 faculty research Signal Processing and Machine Learning for Brain-Computer/machine Interfaces, With Applications for Alternative Communication and Rehabilitation for Patients and Monitoring of Cognitive States on GradNova.

Cetin, Mujdat

Professor of Electrical and Computer Engineering, Professor of Computer Science

Computer Science

University of Rochester

Computational Sensing and Imaging as Applied to Radar and Biomedical Imaging

Probabilistic Methods for Image and Video Analysis as Applied to Biomedical Image Analysis, Microscopic Neuroimaging, and Computer Vision

Signal Processing and Machine Learning for Brain-Computer/machine Interfaces, With Applications for Alternative Communication and Rehabilitation for Patients and Monitoring of Cognitive States