Carl-Fredrik Westin-rekin lankidetzan egindako argitalpenak (12)

2016

  1. Adjugate Diffusion Tensors for Geodesic Tractography in White Matter

    Journal of Mathematical Imaging and Vision, Vol. 54, Núm. 1, pp. 1-14

2015

  1. The DTI Challenge: Toward Standardized Evaluation of Diffusion Tensor Imaging Tractography for Neurosurgery

    Journal of Neuroimaging, Vol. 25, Núm. 6, pp. 875-882

2014

  1. A novel Riemannian metric for geodesic tractography in DTI

    Mathematics and Visualization

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

2011

  1. Probabilistic ODF estimation from reduced HARDI data with sparse regularization

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

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)