TY  - GEN
T1  - Methods for analyzing large neuroimaging datasets
T2  - Neuromethods ;
A2  - Whelan, Robert
A2  - Lemaître, Hervé
LA  - English
PP  - New York, NY
PB  - Humana Press
YR  - 2025
UL  - https://ebooks.jgu.edu.in/Record/ebsco_acadsubs_on1479627863
AB  - 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.
OP  - 432
CN  - QP357.5
SN  - 9781071642603
SN  - 107164260X
SN  - 9781071642597
SN  - 1071642596
KW  - Neurosciences : Data processing.
KW  - Nervous system : Imaging : Data processing.
KW  - Data sets.
KW  - Data Science : methods
KW  - Neuroimaging
KW  - Datasets as Topic
KW  - Système nerveux : Imagerie : Informatique.
KW  - Neuro-imagerie.
KW  - Jeux de données.
ER  -