Multimodal Brain Image Analysis Third International Workshop, MBIA 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings /
Autres auteurs :
Shen, Li.
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editor.
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Liu, Tianming.
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editor.
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Yap, Pew-Thian.
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editor.
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Huang, Heng.
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editor.
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Shen, Dinggang.
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editor.
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Westin, Carl-Fredrik.
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editor.
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SpringerLink (Online service)
Collection :
Lecture Notes in Computer Science,
0302-9743 ;
. 8159
Détails physiques : XII, 260 p. 110 illus. online resource.
ISBN :9783319021263.
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Liu, Tianming.
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editor.
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Yap, Pew-Thian.
--
editor.
|
Huang, Heng.
--
editor.
|
Shen, Dinggang.
--
editor.
|
Westin, Carl-Fredrik.
--
editor.
|
SpringerLink (Online service)
Sujet(s) :
Computer science.
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Radiology.
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Algorithms.
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Artificial intelligence.
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Computer graphics.
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Image processing.
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Pattern recognition.
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Computer Science.
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Pattern Recognition.
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Image Processing and Computer Vision.
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Computer Graphics.
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Artificial Intelligence (incl. Robotics).
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Algorithm Analysis and Problem Complexity.
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Imaging / Radiology.
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Radiology.
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Algorithms.
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Artificial intelligence.
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Computer graphics.
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Image processing.
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Pattern recognition.
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Computer Science.
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Pattern Recognition.
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Image Processing and Computer Vision.
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Computer Graphics.
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Artificial Intelligence (incl. Robotics).
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Algorithm Analysis and Problem Complexity.
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Imaging / Radiology.
Ressources en ligne :
Exemplaires : http://dx.doi.org/10.1007/978-3-319-02126-3
Analysis -- Methodologies -- Algorithms -- Software systems -- Validation approaches -- Benchmark datasets -- Neuroscience -- Clinical applications.
This book constitutes the refereed proceedings of the Third International Workshop on Multimodal Brain Image Analysis, MBIA 2013, held in Nagoya, Japan, on September 22, 2013 in conjunction with the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI. The 24 revised full papers presented were carefully reviewed and selected from 35 submissions. The papers are organized in topical sections on analysis, methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience and clinical applications.
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