找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

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

[復(fù)制鏈接]
查看: 37725|回復(fù): 38
樓主
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

書目名稱Magnetic Resonance Brain Imaging影響因子(影響力)




書目名稱Magnetic Resonance Brain Imaging影響因子(影響力)學(xué)科排名




書目名稱Magnetic Resonance Brain Imaging網(wǎng)絡(luò)公開度




書目名稱Magnetic Resonance Brain Imaging網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Magnetic Resonance Brain Imaging被引頻次




書目名稱Magnetic Resonance Brain Imaging被引頻次學(xué)科排名




書目名稱Magnetic Resonance Brain Imaging年度引用




書目名稱Magnetic Resonance Brain Imaging年度引用學(xué)科排名




書目名稱Magnetic Resonance Brain Imaging讀者反饋




書目名稱Magnetic Resonance Brain Imaging讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

1票 100.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
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
板凳
發(fā)表于 2025-3-22 02:28:18 | 只看該作者
地板
發(fā)表于 2025-3-22 06:05:26 | 只看該作者
5#
發(fā)表于 2025-3-22 10:12:47 | 只看該作者
6#
發(fā)表于 2025-3-22 13:07:08 | 只看該作者
7#
發(fā)表于 2025-3-22 19:55:02 | 只看該作者
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
8#
發(fā)表于 2025-3-23 01:18:00 | 只看該作者
9#
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
10#
發(fā)表于 2025-3-23 07:20:24 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-20 00:40
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
巴塘县| 大连市| 吴江市| 靖安县| 合山市| 海兴县| 彭阳县| 芮城县| 池州市| 建阳市| 恭城| 沧源| 玉山县| 巴彦县| 曲周县| 水富县| 蒙山县| 班戈县| 溆浦县| 洮南市| 买车| 蓬安县| 修水县| 突泉县| 永昌县| 金堂县| 温州市| 乃东县| 阿拉善盟| 贵港市| 渭源县| 孟州市| 若羌县| 崇仁县| 大荔县| 邳州市| 马尔康县| 嘉定区| 揭西县| 北川| 连云港市|