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MICCAI 2010 Held in Beijing
Oct 14, 2010Author:
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The 13th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2010) was hosted by Institute of Automation, Chinese Academy of Sciences (CASIA) from September 20-24, 2010 in Beijing.

It was the first time that the MICCAI series was held in China since its foundation about 15 years ago, which was also the second time in Asia as the first one happened in Toyota, Japan in 2002. Prof. JIANG Tianzi from CASIA took the chair at MICCAI 2010.

Consisting of 9 oral sessions, 11 poster sessions, 15 workshops and 8 tutorials, MICCAI 2010 covered such topics as general medical image computing, computer assisted interventional systems and robotics, visualization and interaction, general biological image computing, brain and neuroscience image computing, computational anatomy (statistics on anatomy), computational physiology (virtual organs), and innovative clinical/biological applications and surgical procedures.

As the world's premier medical image analysis conference, MICCAI 2010 attracted over 800 participants, including world leading researchers and clinicians, from a wide range of disciplines associated with medical imaging and computer assisted surgery.

Prof. Alan Evans from McGill University, Canada described recent activity in brain network modeling with emphasis on anatomical correlation analysis at the keynote presentation. And Prof. YANG Guangzhong from Imperial College London, UK outlined key clinical challenges and research opportunities for the MICCAI community in developing biomimetic robotic systems integrated with in situ, in vivo imaging and sensing towards the future evolution of MIS(Minimal Invasive Surgery) based on truly flexible access technologies.

786 papers were received for MICCAI 2010, of which 45 papers were accepted for oral presentation and 206 papers for poster presentation. These together with the heated discussions at the conference had promoted the exchange and dissemination of advanced knowledge, expertise and experience in the field of medical image computing and computer assisted medical interventions.