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  4. Clinical image-based procedures. Translational research in medical imaging
 
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2014
Conference Proceeding
Title

Clinical image-based procedures. Translational research in medical imaging

Title Supplement
Third International Workshop, CLIP 2014. Held in Conjunction with MICCAI 2014; Boston, MA, USA, September 14, 2014; Revised selected papers
Abstract
CLIP 2014 provided a successful forum for the dissemination of emerging image-based clinical techniques. Specific topics included pre-interventional image segmentation and classification (to support diagnosis and clinical decision making), interventional and surgical planning and analysis of dynamic images, and evaluation, visualization and correction techniques for image-based procedures. Clinical applications covered the skull and the brain, cardiac defects, blood vessels, abdominal organs, and cancer in adults and children. The presentations and discussions around the meeting emphasized current challenges and emerging techniques in image-based procedures, strategies for clinical translation of image-based techniques, the role of computational anatomy and image analysis for surgical planning and interventions, and the contribution of medical image analysis to open and minimally invasive surgery.
Editor(s)
Linguraru, Marius George
Children's National Health System
Oyarzun Laura, Cristina  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Shekhar, Raj
Children's National Health System
Wesarg, Stefan  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
González Ballester, Miguel Angel
Univ. Pompeu Fabra, Barcelona
Drechsler, Klaus  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Sato, Yoshinobu
Nara Institute of Science and Technology (NAIST)
Erdt, Marius  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Publisher
Springer International Publishing  
Publishing Place
Cham
Conference
International Workshop on Clinical Image-Based Procedures (CLIP) 2014  
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2014  
DOI
10.1007/978-3-319-13909-8
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
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