logo
Product categories

EbookNice.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link.  https://ebooknice.com/page/post?id=faq


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookNice Team

(Ebook) Magnetic Resonance Brain Imaging: Modeling and Data Analysis Using R by Jörg Polzehl, Karsten Tabelow ISBN 9783030291822, 9783030291846, 3030291820, 3030291847

  • SKU: EBN-10799838
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

5.0

6 reviews
Instant download (eBook) Magnetic Resonance Brain Imaging: Modeling and Data Analysis Using R after payment.
Authors:Jörg Polzehl, Karsten Tabelow
Pages:0 pages.
Year:2019
Editon:1st ed. 2019
Publisher:Springer International Publishing
Language:english
File Size:7.77 MB
Format:pdf
ISBNS:9783030291822, 9783030291846, 3030291820, 3030291847
Categories: Ebooks

Product desciption

(Ebook) Magnetic Resonance Brain Imaging: Modeling and Data Analysis Using R by Jörg Polzehl, Karsten Tabelow ISBN 9783030291822, 9783030291846, 3030291820, 3030291847

This book discusses the modeling and analysis of magnetic resonance imaging (MRI) data acquired from the human brain. The data processing pipelines described rely on R. The book is intended for readers from two communities: Statisticians who are interested in neuroimaging and looking for an introduction to the acquired data and typical scientific problems in the field; and neuroimaging students wanting to learn about the statistical modeling and analysis of MRI data. Offering a practical introduction to the field, the book focuses on those problems in data analysis for which implementations within R are available. It also includes fully worked examples and as such serves as a tutorial on MRI analysis with R, from which the readers can derive their own data processing scripts.

The book starts with a short introduction to MRI and then examines the process of reading and writing common neuroimaging data formats to and from the R session. The main chapters cover three common MR imaging modalities and their data modeling and analysis problems: functional MRI, diffusion MRI, and Multi-Parameter Mapping. The book concludes with extended appendices providing details of the non-parametric statistics used and the resources for R and MRI data.The book also addresses the issues of reproducibility and topics like data organization and description, as well as open data and open science. It relies solely on a dynamic report generation with knitr and uses neuroimaging data publicly available in data repositories. The PDF was created executing the R code in the chunks and then running LaTeX, which means that almost all figures, numbers, and results were generated while producing the PDF from the sources.


*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products