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CLIP 2013 - Workshop on Clinical Image-based Procedures: Translational Research in Medical Imaging

Date2013-09-22

Deadline2012-06-08

VenueNagoya , Japan Japan

Keywords

Websitehttp://www.miccai-clip.org/2013

Topics/Call fo Papers

Over the past few years, there has been considerable and growing interest in the development and evaluation of new translational image-based procedures in the modern hospital. For a decade or more, a proliferation of meetings dedicated to medical image computing has created a need for greater study and scrutiny of the clinical application and validation of such methods. New attention and new strategies are essential to ensure a smooth and effective translation of computational image-based techniques into the clinic. For these reasons and to complement other technology-focused MICCAI workshops on computer assisted interventions, CLIP2013’s major focus is on translational research filling the gaps between basic science and clinical applications.
A highlight of this year’s workshop is the subject of strategies for patient-specific and anatomical modeling to support planning and interventions. Members of the medical imaging community are encouraged to submit work centered on specific clinical applications, including techniques and procedures based on comprehensive clinical image data. The event aims to bring together world-class researchers and clinicians to present ways to strengthen links between computer scientists and engineers, and surgeons, interventional radiologists and radiation oncologists. Authors are expected to highlight the clinical relevance of their work, validation methodology and integration into clinical workflow. Submissions related to applications already in use and evaluated by clinical users are particularly encouraged.
Topics
Strategies for patient-specific and anatomical modeling to support planning and interventions
Clinical studies employing advanced image-guided methods
Clinical translation and validation of image-guided systems
Current challenges and emerging techniques in image-based procedures
Identification of parameters and error analysis in image-based procedures
Multimodal image integration for modeling, planning and guidance
Clinical applications in open and minimally invasive procedures
Contact: info-AT-miccai-clip.org

Last modified: 2013-04-15 21:48:51