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Titlebook: Multimodal Brain Image Analysis; Second International Pew-Thian Yap,Tianming Liu,Li Shen Conference proceedings 2012 Springer-Verlag Berlin

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發(fā)表于 2025-3-21 16:41:43 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Multimodal Brain Image Analysis
副標(biāo)題Second International
編輯Pew-Thian Yap,Tianming Liu,Li Shen
視頻videohttp://file.papertrans.cn/641/640722/640722.mp4
概述Fast track conference proceedings.Unique visibility.State of the art research
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Multimodal Brain Image Analysis; Second International Pew-Thian Yap,Tianming Liu,Li Shen Conference proceedings 2012 Springer-Verlag Berlin
描述This book constitutes the refereed proceedings of the Second International Workshop on Multimodal Brain Image Analysis, held in conjunction with MICCAI 2012, in Nice, France, in October 2012. The 19 revised full papers presented were carefully reviewed and selected from numerous submissions. The objective of this workshop is to forward the state of the art in analysis methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience, and clinical applications.
出版日期Conference proceedings 2012
關(guān)鍵詞alzheimer‘s disease; fMRI; graph theory; multimodal analysis; statistical parametric mapping; algorithm a
版次1
doihttps://doi.org/10.1007/978-3-642-33530-3
isbn_softcover978-3-642-33529-7
isbn_ebook978-3-642-33530-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2012
The information of publication is updating

書目名稱Multimodal Brain Image Analysis影響因子(影響力)




書目名稱Multimodal Brain Image Analysis影響因子(影響力)學(xué)科排名




書目名稱Multimodal Brain Image Analysis網(wǎng)絡(luò)公開度




書目名稱Multimodal Brain Image Analysis網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Multimodal Brain Image Analysis被引頻次




書目名稱Multimodal Brain Image Analysis被引頻次學(xué)科排名




書目名稱Multimodal Brain Image Analysis年度引用




書目名稱Multimodal Brain Image Analysis年度引用學(xué)科排名




書目名稱Multimodal Brain Image Analysis讀者反饋




書目名稱Multimodal Brain Image Analysis讀者反饋學(xué)科排名




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Multimodal Brain Image Analysis978-3-642-33530-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
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https://doi.org/10.1007/978-3-642-33530-3alzheimer‘s disease; fMRI; graph theory; multimodal analysis; statistical parametric mapping; algorithm a
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0302-9743 nalysis methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience, and clinical applications.978-3-642-33529-7978-3-642-33530-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
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0302-9743 ternational Workshop on Multimodal Brain Image Analysis, held in conjunction with MICCAI 2012, in Nice, France, in October 2012. The 19 revised full papers presented were carefully reviewed and selected from numerous submissions. The objective of this workshop is to forward the state of the art in a
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,Ern?hrung und Volkskrankheiten, regards the existence of discrete species. The toy living world just illustrates the main hypothesis. The following chapter will deal with the subsidiary hypothesis that the genomic code takes the form of a ‘nested system.’
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