After a successful workshop in 2012 we are proud to present the

Workshop on Clinical Image-based Procedures:

Translational Research in Medical Imaging

September 22, 2013, Nagoya, Japan

! Program and award winners !

! Planned publication of the workshop proceeding (Springer LNCS 8361): January 2014 !

Call for Papers

PDF version
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.


  • 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 (dot) org