Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - Info and Reading Options
By Oscar Camara

“Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges” Metadata:
- Title: ➤ Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges
- Author: Oscar Camara
“Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges” Subjects and Themes:
- Subjects: ➤ Pattern perception - Image Processing and Computer Vision - Computational Biology/Bioinformatics - Information organization - Optical pattern recognition - Electronic data processing - Bioinformatics - User Interfaces and Human Computer Interaction - Information retrieval - Computer vision - Computer science - Information storage and retrieval systems - Computing Methodologies - Heart, imaging - Heart - Imaging systems in medicine - Computerunterstütztes Verfahren - Kardiovaskuläre Krankheit - Three-dimensional imaging in medicine - Computer simulation - Congresses - Imaging - Digital techniques - Image processing - Medical records - Data processing - Cardiology - Health Informatics - Simulation and Modeling - Probability and Statistics in Computer Science - Pattern Recognition
Edition Identifiers:
- The Open Library ID: OL19903843W
AI-generated Review of “Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges”:
"Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges" Description:
The Open Library:
This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challegenges, STACOM 2012, held in conjunction with MICCAI 2012, in Nice, France, in October 2012. The 42 revised full papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on CFD challenge, DE-MRI segmentation challenge, LV landmark detection challenge, motion tracking analysis challenge, and regular papers.
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