bokomslag Anisotropy Across Fields and Scales
Data & IT

Anisotropy Across Fields and Scales

Evren Zarslan Thomas Schultz Eugene Zhang

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  • 292 sidor
  • 2022

Tensor approximation for multidimensional and multivariate data.- Tensor field topology without symmetrization using Hermitian tensors.- Continuous histograms for Anisotropy of 2D symmetric piece-wise linear tensor fields.- Riemann-DTI geodesic tractography revisited.- Fourth-order anisotropic diffusion for inpainting and image compression.- Advanced deep learning for processing orientation-dependent diffusion magnetic resonance imaging data - A review.- On the variance measure of diffusion tensors in two dimensions.- Magnetic resonance assessment of effective confinement anisotropy with powder-averaged single and double diffusion encoding.- Merge trees, neutral surfaces, and tensor field topology.- Asymmetric tensor analysis.- Anisotropy issues in shape-based object analysis.- Tractogram filtering.- Multispectral image processing in astronomy.- Anisotropy in the human placenta in pregnancies complicated by fetal growth restriction.- The case for spatially homogeneous models in high gradient strength diffusion-weighted MRI: A position paper on the potential applicability of stochastic geometry.


  • Författare: Evren Zarslan, Thomas Schultz, Eugene Zhang
  • Format: Pocket/Paperback
  • ISBN: 9783030562175
  • Språk: Engelska
  • Antal sidor: 292
  • Utgivningsdatum: 2022-01-08
  • Förlag: Springer