Methods for Analyzing Large Neuroimaging Datasets

Name: Methods for Analyzing Large Neuroimaging Datasets
Brand: Springer, Berlin
SKU: 9781071642597
Price: 48.96 EUR
Availability: InStock

Autor: Robert Whelan, Hervé Lemaître

Jazyk:

Väzba: Pevná

Vydavateľ: Springer, Berlin

Dostupnosť: Skladom u dodávateľa

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48.96 €

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

Informácie o knihe

Autor

Robert Whelan, Hervé Lemaître

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2025

Stránok

419

EAN

9781071642597

Enbook ID

46581468

Vydavateľ

Springer, Berlin

Hmotnosť

1006

Rozmery

178 x 254

Kompletný 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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Methods for Analyzing Large Neuroimaging Datasets

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