Methods for Analyzing Large Neuroimaging Datasets
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 lar...
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| Formato: | Online |
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| Idioma: | inglês |
| Publicado em: |
Springer Nature
2025
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| Acesso em linha: | ONIX_20241220_9781071642603_23 |
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| _version_ | 1869530351458582528 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-150551 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1505512025-07-21T15:44:14Z Methods for Analyzing Large Neuroimaging Datasets Whelan, Robert Lemaître, Hervé neuroimaging databases Structural imaging computational morphometry structural connectivity longitudinal analysis thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAX Computational biology / bioinformatics thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAX Computational biology / bioinformatics 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. 2025-01-26T23:42:09Z 2025-01-26T23:42:09Z 2024-12-20T10:43:29Z 2025 book ONIX_20241220_9781071642603_23 https://library.oapen.org/handle/20.500.12657/96088 9781071642603 9781071642597 https://directory.doabooks.org/handle/20.500.12854/150551 eng Neuromethods open access image/jpeg n/a https://library.oapen.org/bitstream/20.500.12657/96088/1/9781071642603.pdf Springer Nature Humana 10.1007/978-1-0716-4260-3 10.1007/978-1-0716-4260-3 9fa3421d-f917-4153-b9ab-fc337c396b5a 6c8b9bdd-6c0f-4263-a11b-ae93171cdae3 92eddadd-defd-483f-95c0-672dade58e04 9781071642603 9781071642597 Humana 432 New York, NY [...] [...] open access |
| spellingShingle | neuroimaging databases Structural imaging computational morphometry structural connectivity longitudinal analysis thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAX Computational biology / bioinformatics thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAX Computational biology / bioinformatics Methods for Analyzing Large Neuroimaging Datasets |
| title | Methods for Analyzing Large Neuroimaging Datasets |
| title_full | Methods for Analyzing Large Neuroimaging Datasets |
| title_fullStr | Methods for Analyzing Large Neuroimaging Datasets |
| title_full_unstemmed | Methods for Analyzing Large Neuroimaging Datasets |
| title_short | Methods for Analyzing Large Neuroimaging Datasets |
| title_sort | methods for analyzing large neuroimaging datasets |
| topic | neuroimaging databases Structural imaging computational morphometry structural connectivity longitudinal analysis thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAX Computational biology / bioinformatics thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAX Computational biology / bioinformatics |
| topic_facet | neuroimaging databases Structural imaging computational morphometry structural connectivity longitudinal analysis thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAX Computational biology / bioinformatics thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAX Computational biology / bioinformatics |
| url | ONIX_20241220_9781071642603_23 |