Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics

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

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 (Herausgeber)

Buch | Softcover

XV, 250 Seiten

2017 | 1st ed. 2017
Springer International Publishing (Verlag)
978-3-319-67674-6 (ISBN)

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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.

Erscheinungsdatum	19.10.2017
Reihe/Serie	Image Processing, Computer Vision, Pattern Recognition, and Graphics
Reihe/Serie	Lecture Notes in Computer Science
Zusatzinfo	XV, 250 p. 83 illus.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	410 g
Themenwelt	Informatik ► Grafik / Design ► Digitale Bildverarbeitung
Schlagworte	Applications • Artificial Intelligence • Bayesian networks • classification • cluster analysis • clustering algorithms • Computer Science • computer vision • conference proceedings • Data Mining • face recognition • Feature Selection • Geometry • Image Analysis • Image Processing • image processing and computer vision • image reconstruction • Informatics • Learning Systems • Medical Images • Medical Imaging • Neural networks • pattern recognition • Research • Signal Processing
ISBN-10	3-319-67674-1 / 3319676741
ISBN-13	978-3-319-67674-6 / 9783319676746
Zustand	Neuware