Publicaciones en las que colabora con Carl-Fredrik Westin (24)

2013

  1. Advanced signal processing methods for biomedical imaging

    International Journal of Biomedical Imaging

  2. Geometrical constraints for robust tractography selection

    NeuroImage, Vol. 81, pp. 26-48

2012

  1. On the choice of a tensor distance for dti white matter segmentation

    Mathematics and Visualization

  2. Optimal real-time estimation in diffusion tensor imaging

    Magnetic Resonance Imaging, Vol. 30, Núm. 4, pp. 506-517

2011

  1. Gaussian mixtures on tensor fields for segmentation: Applications to medical imaging

    Computerized Medical Imaging and Graphics, Vol. 35, Núm. 1, pp. 16-30

2008

  1. Noise and signal estimation in magnitude MRI and Rician distributed images: A LMMSE approach

    IEEE Transactions on Image Processing, Vol. 17, Núm. 8, pp. 1383-1398

2007

  1. Sequential anisotropic Wiener filtering applied to 3D MRI data

    Magnetic Resonance Imaging, Vol. 25, Núm. 2, pp. 278-292

  2. Signal LMMSE estimation from multiple samples in MRI and DT-MRI

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2006

  1. Image quality assessment based on local variance

    Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

  2. Tensor field regularization using normalized convolution and Markov random fields in a Bayesian framework

    Mathematics and Visualization

2005

  1. Group-Slicer: A collaborative extension of 3D-Slicer

    Journal of Biomedical Informatics, Vol. 38, Núm. 6, pp. 431-442

  2. Kriging filters for multidimensional signal processing

    Signal Processing, Vol. 85, Núm. 2, pp. 413-439

  3. Landmark-based registration of medical-image data

    Medical Image Analysis Methods (CRC Press), pp. 341-361

2004

  1. 3D bayesian regularization of diffusion tensor MRI using multivariate gaussian markov random fields

    Lecture Notes in Computer Science

  2. A novel Gauss-Markov Random Field approach for regularization of diffusion tensor maps

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2809, pp. 506-517

  3. Anisotropic regularization of posterior probability maps using vector space projections. Application to MRI segmentation

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2809, pp. 597-606