Camille Izard

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In medical imaging, finding landmarks that provide biologically meaningful correspondences is often a challenging and time-consuming manual task. In this paper we propose a generic and simple algorithm for landmarking non-cortical brain structures automatically. We use a probabilistic model of the image intensities based on the deformation of a tissue(More)
In order to analyze Magnetic Resonance brain Images (MRI), neurobiologists need to define landmarks. These points characterize the anatomy and are identifiable on each subject, so that they can be used as a reference system. Manually detecting these points in 3D structures is tricky even for experienced neuroscientists. This work focuses on the automatic(More)
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