Methods for Analyzing Large Neuroimaging Datasets

Name: Methods for Analyzing Large Neuroimaging Datasets
Brand: Springer, Berlin
SKU: 9781071642597
Price: 270.91 RON
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Autor: Robert Whelan, Hervé Lemaître

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Legare: Copertă tare

Editura: Springer, Berlin

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

Informații despre carte

Autor

Robert Whelan, Hervé Lemaître

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2025

Pagini

419

EAN

9781071642597

Enbook ID

46581468

Editura

Springer, Berlin

Greutate

1006

Dimensiuni

178 x 254

Descriere completă

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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