Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics von M. Jorge (Hrsg.) Cardoso

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
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ISBN: 978-3-319-67674-6
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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.

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.
AutorCardoso, M. Jorge (Hrsg.) / Nielsen, Mads (Hrsg.) / Sabuncu, Mert R. (Hrsg.) / Fletcher, Tom (Hrsg.) / Shen, Li (Hrsg.) / Durrleman, Stanley (Hrsg.) / Arbel, Tal (Hrsg.) / Sommer, Stefan (Hrsg.) / Ferrante, Enzo (Hrsg.) / Pennec, Xavier (Hrsg.) / Dalca, Adrian V. (Hrsg.) / Parisot, Sarah (Hrsg.) / Joshi, Sarang (Hrsg.) / Batmanghelich, Nematollah K. (Hrsg.) / Sotiras, Aristeidis (Hrsg.)
EinbandKartonierter Einband (Kt)
Erscheinungsjahr2017
Seitenangabe268 S.
LieferstatusFolgt in ca. 5 Arbeitstagen
AusgabekennzeichenEnglisch
AbbildungenPaperback
MasseH23.5 cm x B15.5 cm x D1.5 cm 411 g
Auflage17001 A. 1st ed. 2017
ReiheImage Processing, Computer Vision, Pattern Recognition, and Graphics
Verlagsartikelnummer978-3-319-67674-6
VerlagSpringer International Publishing

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