Publicacions en què col·labora amb Carl-Fredrik Westin (15)

2020

  1. Acquiring and Predicting Multidimensional Diffusion (MUDI) Data: An Open Challenge

    Mathematics and Visualization (Springer Science and Business Media Deutschland GmbH), pp. 195-208

2012

  1. Deblurring of probabilistic ODFs in quantitative diffusion MRI

    Proceedings - International Symposium on Biomedical Imaging

  2. Efficient and robust nonlocal means denoising of MR data based on salient features matching

    Computer Methods and Programs in Biomedicine, Vol. 105, Núm. 2, pp. 131-144

  3. Least squares for diffusion tensor estimation revisited: Propagation of uncertainty with Rician and non-Rician signals

    NeuroImage, Vol. 59, Núm. 4, pp. 4032-4043

  4. Optimal real-time estimation in diffusion tensor imaging

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

2010

  1. A new methodology for the estimation of fiber populations in the white matter of the brain with the Funk-Radon transform

    NeuroImage, Vol. 49, Núm. 2, pp. 1301-1315

2009

  1. Bias of least squares approaches for diffusion tensor estimation from array coils in DT-MRI

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

  2. Estimation of fiber Orientation Probability Density Functions in High Angular Resolution Diffusion Imaging

    NeuroImage, Vol. 47, Núm. 2, pp. 638-650

  3. On the blurring of the Funk-Radon transform in Q-ball imaging

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

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

  2. Restoration of DWI data using a rician LMMSE estimator

    IEEE Transactions on Medical Imaging, Vol. 27, Núm. 10, pp. 1389-1403

2007

  1. Outlier rejection for diffusion weighted imaging

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

  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

2005

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

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