BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Advances in Neuroimaging Data Processing

Advances in Neuroimaging Data Processing

Advances in Neuroimaging Data Processing Hardback - 2023

by Alexander E. Hramov (Guest Editor); Alexander N. Pisarchik (Guest Editor)

Add to wish list
  • New
  • Hardback
New

Description

Hardcover. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; N/A
Ask the seller a question Add to wish list
A$103.61
A$15.45 Delivery to USA
Standard delivery: 7 to 12 days
More delivery options
Ships from Ria Christie Collections (Greater London, United Kingdom)

Details

  • Title Advances in Neuroimaging Data Processing
  • Author Alexander E. Hramov (Guest Editor); Alexander N. Pisarchik (Guest Editor)
  • Binding Hardback
  • Condition New
  • Pages 186
  • Volumes 1
  • Language ENG
  • Publisher Mdpi AG
  • Publication date 2023-03-21
  • Bookseller's Inventory # ria9783036569987_inp
  • ISBN 9783036569987 / 3036569987
  • Weight 1.33 lbs (0.60 kg)
  • Dimensions 9.61 x 6.69 x 0.63 in (24.41 x 16.99 x 1.60 cm)
  • Category Science
  • Quantity available 1040

About Ria Christie Collections Greater London, United Kingdom

Biblio member since 2014

Hello We are professional online booksellers. We sell mostly new books and textbooks and we do our best to provide a competitive price. We are based in Greater London, UK. We pride ourselves by providing a good customer service throughout, shipping the items quickly and replying to customer queries promptly. Ria Christie Collections

Terms of Sale:

30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Ria Christie Collections

Reader reviews for Advances in Neuroimaging Data Processing

From the publisher

The development of in vivo neuroimaging techniques has yielded an incredible amount of digital information about the brain. Neuroimaging techniques are increasingly being used to study human cognitive processes, create brain-machine interfaces, and also to identify and diagnose certain brain disorders. Currently, neuroscientists and medics actively use different methods for brain scans, including electro- and magnetoencephalography (EEG/MEG), functional near-infrared spectroscopy (fNIRS), electrocorticography (ECoG), functional magnetic resonance imaging (fMRI), positron emission tomography (PET), and diffusion tensor imaging (DTI). Recent advances in signal processing and machine learning for neuroimaging data using various signal processing methods have made impressive progress in solving a number of practical tasks in medicine, healthcare, neuroscience, biomedical engineering, brain-machine interfaces, and cognitive science, to name but a few. This Special Issue aims to provide a forum for academic and industrial communities to present and discuss the latest theoretical and experimental results related to recent advances in neuroimaging data processing in terms of new theories, algorithms, architectures, and applications.

tracking-