Closed-form relaxation for MRF-MAP tissue classification using discrete Laplace equations ... relaxation method for the MAP problem under the Potts model.

The key advantage of this technique is that it boils down to a sparse linear system with a uniquely defined explicit solution. Our experiments further ...

MRF-MAP Relaxation Using Discrete Laplace Equations. 357 which defines a continuous extension of (1) in the sense that ˜L(δ, θ) and L(δ, θ) coincide on the ...

The key advantage of this technique is that it boils down to a sparse linear system with a uniquely defined explicit solution. Our experiments further ...

Closed-form relaxation for MRF-MAP tissue classification using discrete Laplace equations. In Proc. MICCAI, volume 7511 of Lecture Notes in Computer Science ...

Closed-form relaxation for MRF-MAP tissue classification using discrete Laplace equations - International Conference on Medical Image Computing and Computer ...

Closed-Form relaxation for MRF-MAP tissue classification using discrete laplace equations · Author Picture Alexis Roche. Siemens Research, CIBM, Lausanne ...

Closed-form relaxation for MRF-MAP tissue classification using discrete Laplace equations. Roche A. Medical image computing and computer-assisted ...

In this paper we propose a novel hybrid multispectral MR images segmentation framework which combines Markov Random Field (MRF), stochastic relaxation (SR) ...

We propose a novel type of approximation, Spectral relaxation to Quadratic Program- ming (SQP). We show our method offers tighter bounds than recently published ...