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Titlebook: Magnetic Resonance Brain Imaging; Modelling and Data A J?rg Polzehl,Karsten Tabelow Book 2023Latest edition The Editor(s) (if applicable) a

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發(fā)表于 2025-3-21 17:58:49 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Magnetic Resonance Brain Imaging
副標(biāo)題Modelling and Data A
編輯J?rg Polzehl,Karsten Tabelow
視頻videohttp://file.papertrans.cn/622/621310/621310.mp4
概述Provides introduction to the modeling and analysis of MRI data for both statisticians and neuroscientists.Offers complete analysis pipelines for the analysis of MRI data in R.Provides reproducible exa
叢書名稱Use R!
圖書封面Titlebook: Magnetic Resonance Brain Imaging; Modelling and Data A J?rg Polzehl,Karsten Tabelow Book 2023Latest edition The Editor(s) (if applicable) a
描述This book discusses modelling and analysis of Magnetic Resonance Imaging (MRI) data of the human brain. For the data processing pipelines we rely on R, the software environment for statistical computing and graphics. The book is intended for readers from two communities: Statisticians, who are interested in neuroimaging and look for an introduction to the acquired data and typical scientific problems in the field and neuroimaging students, who want to learn about the statistical modeling and analysis of MRI data. Being a practical introduction, the book focuses on those problems in data analysis for which implementations within R are available. By providing full worked-out examples the book thus serves as a tutorial for MRI analysis with R, from which the reader can derive its own data processing scripts..The book starts with a short introduction into MRI. The next chapter considers the process of reading and writing common neuroimaging data formats to and from the Rsession. The main chapters then cover four common MR imaging modalities and their data modeling and analysis problems: functional MRI, diffusion MRI, Multi-Parameter Mapping and Inversion Recovery MRI. The book conclude
出版日期Book 2023Latest edition
關(guān)鍵詞Magnetic Resonance Imaging; MR Imaging Data Formats; Statistical Modeling; Structural MRI; Functional MR
版次2
doihttps://doi.org/10.1007/978-3-031-38949-8
isbn_softcover978-3-031-38948-1
isbn_ebook978-3-031-38949-8Series ISSN 2197-5736 Series E-ISSN 2197-5744
issn_series 2197-5736
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-21 20:30:25 | 只看該作者
Magnetic Resonance Brain Imaging978-3-031-38949-8Series ISSN 2197-5736 Series E-ISSN 2197-5744
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發(fā)表于 2025-3-22 02:28:18 | 只看該作者
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J?rg Polzehl,Karsten Tabelowvrà la struttura di partenza come modello, ma in generale essa avrà anche altri modelli, e può essere interessante studiare le proprietà che li accomunano. Appare allora immediatamente chiara una differenza rilevante con l’approccio che sottende il Capitolo 3: mentre quando stabiliamo relazioni tra
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發(fā)表于 2025-3-23 01:18:00 | 只看該作者
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發(fā)表于 2025-3-23 02:02:40 | 只看該作者
J?rg Polzehl,Karsten Tabelowecent years, universal logic is clearly a field whose time has come. This book contains many excellent papers demonstrating the value of this approach."...J. Michael Dunn, Indiana University..."Modern logic is exploding into manifold applications, and its core research agenda is expanding accordingl
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發(fā)表于 2025-3-23 07:20:24 | 只看該作者
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