Methods for Analyzing Large Neuroimaging Datasets

Name: Methods for Analyzing Large Neuroimaging Datasets
Brand: Springer, Berlin
SKU: 9781071642597
Price: 1120 CZK
Availability: InStock

Autor: Robert Whelan, Hervé Lemaître

Jazyk:

Vazba: Pevná

Vydavatel: Springer, Berlin

Dostupnost: Skladem u dodavatele

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This Open Access volume explores the latest advancements and challenges in standardized methodologie...

Informace o knize

Autor

Robert Whelan, Hervé Lemaître

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2025

Stránek

419

EAN

9781071642597

Enbook ID

46581468

Vydavatel

Springer, Berlin

Hmotnost

1006

Rozměry

178 x 254

Kompletní popis

This Open Access volume explores the latest advancements and challenges in standardized methodologies, efficient code management, and scalable data processing of neuroimaging datasets. The chapters in this book are organized in four parts. Part One shows the researcher how to access and download large datasets, and how to compute at scale. Part Two covers best practices for working with large data, including how to build reproducible pipelines and how to use Git. Part Three looks at how to do structural and functional preprocessing data at scale, and Part Four describes various toolboxes for interrogating large neuroimaging datasets, including machine learning and deep learning approaches. In the Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory.

Authoritative and comprehensive, Methods for Analyzing Large Neuroimaging Datasets is a valuable resource that will help researchers obtain the practical knowledge necessary for conducting robust and reproducible analyses of large neuroimaging datasets.

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