TY  - BOOK
AU  - Cardoso,M.Jorge
AU  - Arbel,Tal
AU  - Ferrante,Enzo
AU  - Pennec,Xavier
AU  - Dalca,Adrian V.
AU  - Parisot,Sarah
AU  - Joshi,Sarang
AU  - Batmanghelich,Nematollah K.
AU  - Sotiras,Aristeidis
AU  - Nielsen,Mads
AU  - Sabuncu,Mert R.
AU  - Fletcher,Tom
AU  - Shen,Li
AU  - Durrleman,Stanley
AU  - Sommer,Stefan
ED  - SpringerLink (Online service)
TI  - 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 
T2  - Image Processing, Computer Vision, Pattern Recognition, and Graphics
SN  - 9783319676753
AV  - TA1630-1650 
U1  - 006.6 23
PY  - 2017///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Optical data processing
KW  - Pattern recognition
KW  - Artificial intelligence
KW  - Health informatics
KW  - Data mining
KW  - Image Processing and Computer Vision
KW  - Pattern Recognition
KW  - Artificial Intelligence
KW  - Health Informatics
KW  - Data Mining and Knowledge Discovery
N1  - Available to subscribing member institutions only. Доступно лише організаціям членам підписки
N2  - 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
UR  - https://doi.org/10.1007/978-3-319-67675-3
ER  -