By Gordon Kindlmann, Raúl San José Estépar, Marc Niethammer, Steven Haker (auth.), Nicholas Ayache, Sébastien Ourselin, Anthony Maeder (eds.)
The tenth overseas convention on scientific Imaging and machine Assisted ntervention,MICCAI 2007, was once held on the Brisbane conference and Exhibition Centre, South financial institution, Brisbane, Australia from twenty ninth October to 2d November 2007.MICCAI has turn into a most efficient foreign convention during this area, with in-depth papers at the multidisciplinary fields of biomedical photo computing, computing device assisted intervention and scientific robotics. The convention brings jointly organic scientists, clinicians, laptop scientists, engineers, mathematicians, physicists and different researchers and gives them a discussion board to interchange principles in those fascinating and speedily growing to be fields.The convention is either very selective and extremely appealing: this 12 months we acquired a checklist variety of 637 submissions from 35 international locations and six continents, from which 237 papers have been chosen for booklet. a few fascinating proof concerning the distribution of submitted and authorized papers are proven graphically on the finish of this preface.
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Extra resources for Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007: 10th International Conference, Brisbane, Australia, October 29 - November 2, 2007, Proceedings, Part I
Goodlett et al. 9 Angle in radians 0 pi/16 pi/8 3*pi/16 pi/4 Angle in radians (a) Angular dependence of FA estimate (b) Angular dependence of trace estimate Fig. 2. The orientation dependence of estimated FA and trace under diﬀerent sampling schemes. The horizontal axis ranges from the principal diﬀusion direction unaligned with any gradient direction for x = 0 to being perfectly aligned with one of the gradient directions for a rotation of x = π/4. The noise level is σ = 27 as determined from our collected data.
Hari Sundar, Dinggang Shen, George Biros, Chenyang Xu, and Christos Davatzikos Shape Analysis Using a Point-Based Statistical Shape Model Built on Correspondence Probabilities . . . . . . . . . . . . . . . . . . . Heike Hufnagel, Xavier Pennec, Jan Ehrhardt, Heinz Handels, and Nicholas Ayache Robust Autonomous Model Learning from 2D and 3D Data Sets . . . . Georg Langs, Ren´e Donner, Philipp Peloschek, and Horst Bischof On Simulating Subjective Evaluation Using Combined Objective Metrics for Validation of 3D Tumor Segmentation .
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