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|a Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics
|h [electronic resource] :
|b First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings /
|c edited by M. Jorge Cardoso, Tal Arbel, Enzo Ferrante, Xavier Pennec, Adrian V. Dalca, Sarah Parisot, Sarang Joshi, Nematollah K. Batmanghelich, Aristeidis Sotiras, Mads Nielsen, Mert R. Sabuncu, Tom Fletcher, Li Shen, Stanley Durrleman, Stefan Sommer.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
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|a XV, 250 p. 83 illus.
|b online resource.
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|a text
|b txt
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|a computer
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|a text file
|b PDF
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 10551
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| 520 |
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|a This book constitutes the refereed joint proceedings of the First International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2017, the 6th International Workshop on Mathematical Foundations of Computational Anatomy, MFCA 2017, and the Third International Workshop on Imaging Genetics, MICGen 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017. The 7 full papers presented at GRAIL 2017, the 10 full papers presented at MFCA 2017, and the 5 full papers presented at MICGen 2017 were carefully reviewed and selected. The GRAIL papers cover a wide range of graph based medical image analysis methods and applications, including probabilistic graphical models, neuroimaging using graph representations, machine learning for diagnosis prediction, and shape modeling. The MFCA papers deal with theoretical developments in non-linear image and surface registration in the context of computational anatomy. The MICGen papers cover topics in the field of medical genetics, computational biology and medical imaging.
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|a Computer science.
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|a Health informatics.
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|a Data mining.
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|a Artificial intelligence.
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|a Image processing.
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|a Pattern recognition.
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|a Computer Science.
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|a Image Processing and Computer Vision.
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|a Pattern Recognition.
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|a Artificial Intelligence (incl. Robotics).
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| 650 |
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|a Health Informatics.
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| 650 |
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|a Data Mining and Knowledge Discovery.
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| 700 |
1 |
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|a Cardoso, M. Jorge.
|e editor.
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| 700 |
1 |
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|a Arbel, Tal.
|e editor.
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| 700 |
1 |
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|a Ferrante, Enzo.
|e editor.
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| 700 |
1 |
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|a Pennec, Xavier.
|e editor.
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| 700 |
1 |
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|a Dalca, Adrian V.
|e editor.
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| 700 |
1 |
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|a Parisot, Sarah.
|e editor.
|
| 700 |
1 |
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|a Joshi, Sarang.
|e editor.
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| 700 |
1 |
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|a Batmanghelich, Nematollah K.
|e editor.
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| 700 |
1 |
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|a Sotiras, Aristeidis.
|e editor.
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| 700 |
1 |
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|a Nielsen, Mads.
|e editor.
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| 700 |
1 |
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|a Sabuncu, Mert R.
|e editor.
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| 700 |
1 |
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|a Fletcher, Tom.
|e editor.
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| 700 |
1 |
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|a Shen, Li.
|e editor.
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| 700 |
1 |
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|a Durrleman, Stanley.
|e editor.
|
| 700 |
1 |
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|a Sommer, Stefan.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
|
| 773 |
0 |
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|t Springer eBooks
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783319676746
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| 830 |
|
0 |
|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 10551
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| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-3-319-67675-3
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-SCS
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| 912 |
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|a ZDB-2-LNC
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| 950 |
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|a Computer Science (Springer-11645)
|
