Anto Bagić

Also published under:Anto Bagic

Affiliation

University of Pittsburgh

Topic

Linear Discriminant Analysis,Magnetoencephalography Signals,Wavelet Transform,Current Dipole,Decoding Accuracy,Discriminant Analysis,Magnetoencephalography Data,Spatial Filter,Block Diagonal,Block Diagonal Matrix,Brain States,Brain-computer Interface System,Characteristics Of Groups,Clustering Algorithm,Clustering Results,Cognitive Status,Common Spatial Pattern,Constrained Optimization,Constrained Optimization Problem,Cortical Areas,Covariance Matrix,Decode Brain States,Decoding Algorithm,Diagonal Matrix,Dipole Model,Dipole Orientation,Discriminative Patterns,Electrical Activity,Error Bounds,Feature Clustering,Feature Space,FreeSurfer,Graph Laplacian,Imagined Movement,Important Tool,Laplacian Matrix,Left Sensorimotor,Linear Classifier,Linear Subspace,Linear Support Vector Machine,Local Method,Low-frequency Band,M-current,Machine Learning Community,Magnetic Field,Minimum Norm Estimate,Multiple Cortical Regions,Neural Activity,Neural Sources,Numerical Solver,

Biography

Anto Bagić received the M.D., M.Sc. and Ph.D. degrees from the University of Zagreb, Zagreb, Croatia, in 1987, 1995, and 2011, respectively.
He is currently an Associate Professor of neurology and neurosurgery at the University of Pittsburgh, Pittsburgh, PA, USA, where he serves as the Chief of Epilepsy Division, the Director of UPMC MEG Epilepsy Program, the Chief Scientific Advisor for MEG Research, the Director of UPMC PUH Epilepsy Monitoring Unit, and the Director of the University of Pittsburgh Comprehensive Epilepsy Center. His clinical practices include epilepsy and clinical applications of MEG, while his research interests include wide spectrum of MEG applications.