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Advances and Technical Standards in Neurosurgery ; Vol. 30
This series, sponsored by the European Association of Neurosurgical Societies, has already become a classic. In general, one volume is published per year. The Advances section presents fields of neurosurgery and related areas in which important recent progress has been made. The Technical Standards section features detailed descriptions of standard procedures to assist young neurosurgeons in their post-graduate training. The contributions are written by experienced clinicians and are reviewed by all members of the Editorial Board.
Machine learning for brain disorders
Organized into five parts. Part One presents the fundamentals of ML. Part Two looks at the main types of data used to characterize brain disorders, including clinical assessments, neuroimaging, electro- and magnetoencephalography, genetics and omics data, electronic health records, mobile devices, connected objects and sensors. Part Three covers the core methodologies of ML in brain disorders and the latest techniques used to study them. Part Four is dedicated to validation and datasets, and Part Five discusses applications of ML to various neurological and psychiatric disorders.
Adaptive Spatial Filters for Electromagnetic Brain Imaging
Adaptive spatial filters are powerful algorithms for electromagnetic brain imaging that enable high-fidelity reconstruction of neuronal activity. This book describes the technical advances of adaptive spatial filters for electromagnetic brain imaging by integrating and synthesizing available information and describes various factors that affect its performance.
