作者: Vasoconstrictor 時(shí)間: 2025-3-21 21:46 作者: disparage 時(shí)間: 2025-3-22 03:35 作者: 諄諄教誨 時(shí)間: 2025-3-22 07:22 作者: aquatic 時(shí)間: 2025-3-22 12:19 作者: locus-ceruleus 時(shí)間: 2025-3-22 14:34
Multiparameter Mapping,imate absolute physical metrics. One example is dMRI considered in Chap.?5. qMRI is of increasing interest in neuroscience and clinical research for its greater specificity and its sensitivity to microstructural properties of brain tissue such as axon, myelin, iron and water concentration. Furthermo作者: Cholagogue 時(shí)間: 2025-3-22 17:55
J?rg Polzehl,Karsten Tabelownd engineering. In addition to nontrivial underlying physical system dynamics, the behaviour of complex systems is determined increasingly by computerised control and automatic analog or digital decision-making, e.g., in aviation, railway, and automotive applications. At the same time, correct decis作者: NADIR 時(shí)間: 2025-3-22 21:43 作者: VEIL 時(shí)間: 2025-3-23 04:23 作者: 粘土 時(shí)間: 2025-3-23 08:29
J?rg Polzehl,Karsten Tabelownd engineering. In addition to nontrivial underlying physical system dynamics, the behaviour of complex systems is determined increasingly by computerised control and automatic analog or digital decision-making, e.g., in aviation, railway, and automotive applications. At the same time, correct decis作者: 你正派 時(shí)間: 2025-3-23 13:05
nd engineering. In addition to nontrivial underlying physical system dynamics, the behaviour of complex systems is determined increasingly by computerised control and automatic analog or digital decision-making, e.g., in aviation, railway, and automotive applications. At the same time, correct decis作者: ear-canal 時(shí)間: 2025-3-23 16:16
Multiparameter Mapping,e achieved with ex vivo histology. Here, we focus on the quantities that are accessible by the multiparameter mapping (MPM) approach. We will also present an adaptive smoothing algorithm for this type of data.作者: flaggy 時(shí)間: 2025-3-23 21:30 作者: gastritis 時(shí)間: 2025-3-24 01:22
2197-5736 imaging modalities and their data modeling and analysis problems: functional MRI, diffusion MRI, and Multi-Parameter Mapping. The book concludes with extended appendices providing details of the non-parametric 978-3-030-29184-6Series ISSN 2197-5736 Series E-ISSN 2197-5744 作者: 我怕被刺穿 時(shí)間: 2025-3-24 03:44 作者: 植物學(xué) 時(shí)間: 2025-3-24 08:48
J?rg Polzehl,Karsten Tabelowmedical applications like automatic glucose regulation for diabetes patients [223]. As a more general phenomenon of complex physical systems that are exemplified in these scenarios, correct system behaviour depends on correct functioning of the . of control with physical system dynamics and is not j作者: 厭煩 時(shí)間: 2025-3-24 13:27 作者: habitat 時(shí)間: 2025-3-24 15:48
J?rg Polzehl,Karsten Tabelowmedical applications like automatic glucose regulation for diabetes patients [223]. As a more general phenomenon of complex physical systems that are exemplified in these scenarios, correct system behaviour depends on correct functioning of the . of control with physical system dynamics and is not j作者: novelty 時(shí)間: 2025-3-24 19:38
medical applications like automatic glucose regulation for diabetes patients [223]. As a more general phenomenon of complex physical systems that are exemplified in these scenarios, correct system behaviour depends on correct functioning of the . of control with physical system dynamics and is not j作者: Serenity 時(shí)間: 2025-3-25 00:09 作者: Dignant 時(shí)間: 2025-3-25 03:32 作者: 繁重 時(shí)間: 2025-3-25 08:58 作者: mitten 時(shí)間: 2025-3-25 15:33 作者: angina-pectoris 時(shí)間: 2025-3-25 18:16 作者: 無辜 時(shí)間: 2025-3-25 21:17
Book 20191st editionescribed rely on R. The book is intended for readers from two communities: Statisticians who are interested in neuroimaging and looking for an introduction to the acquired data and typical scientific problems in the field; and neuroimaging students wanting to learn about the statistical modeling and作者: Interferons 時(shí)間: 2025-3-26 00:40 作者: 微枝末節(jié) 時(shí)間: 2025-3-26 06:53
Introduction, time series of volumes or even data in five- or six-dimensional spaces. Then visual inspection becomes difficult if not impossible and the information has to be aggregated by appropriate methods. In the following chapters, we will demonstrate how such an analysis can be performed for the three MRI imaging modalities that we work with.作者: 拾落穗 時(shí)間: 2025-3-26 09:33
Magnetic Resonance Imaging in a Nutshell,ant for the neuroscientific research, especially the functional and diffusion-weighted MRI and, recently, the multiparameter mapping. These data and their analysis will be the subject of the main chapters of this book. Here we provide a teaser on the basic acquisition principles.作者: 兇猛 時(shí)間: 2025-3-26 14:59
Medical Imaging Data Formats,ata or analysis results that are interchangeable between different analysis software. We demonstrate how these data can be easily accessed from within .. This is amended with a short discussion of the Brain Imaging Data Structure (BIDS) standard.作者: VICT 時(shí)間: 2025-3-26 18:08
Functional Magnetic Resonance Imaging,tion for the multiplicity of the statistical tests. Part of the chapter elaborates on the use of structural adaptive smoothing procedure in fMRI, which we specifically developed. We also include alternative fMRI analysis methods, i.e., others then the mass-univariate approach. The chapter concludes with a section on functional connectivity.作者: Aerate 時(shí)間: 2025-3-26 22:16
2197-5736 ticians and neuroscientists.Includes complete analysis pipel.This book discusses the modeling and analysis of magnetic resonance imaging (MRI) data acquired from the human brain. The data processing pipelines described rely on R. The book is intended for readers from two communities: Statisticians w作者: 不整齊 時(shí)間: 2025-3-27 02:41
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