The accurate segmentation of liver vessels is an important prerequisite for creating oncologic surgery planning tools as well as medical visualization applications. In this paper, ...
Abstract. In this paper, a new technique (SPASM) based on a 3DASM is presented for automatic segmentation of cardiac MRI image data sets consisting of multiple planes with differe...
Hans C. van Assen, Mikhail G. Danilouchkine, Aleja...
We address the difficult problem of segmenting the inflamed synovial tissue in multi-modal 3D MR sequences of the wrist. The complex morphology of the structures to segment, the...
Deforming a digital atlas towards a patient image allows the simultaneous segmentation of several structures. Such an intersubject registration is difficult as the deformations to ...
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...