Kirby G. Vosburgh

Computer Vision and Pattern Recognition · 2007–2014

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Kirby G. Vosburgh trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. John F. Canny

Who trusts Kirby G. Vosburgh overall

  1. Gabriele Steidl
  2. Tanja Teuber

Papers from Kirby G. Vosburgh's perspective

Ordered by how strongly the researchers Kirby G. Vosburgh trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Novel Bayesian multiscale method for speckle removal in medical ultrasound images (IEEE Transactions on Medical Imaging)
  2. A Computational Approach to Edge Detection
  3. Nonlinear total variation based noise removal algorithms
  4. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
  5. Speckle reducing anisotropic diffusion (IEEE Transactions on Image Processing)
  6. Geometric Level Set Methods in Imaging, Vision, and Graphics (Springer: New York)
  7. On the estimation of the coefficient of variation for anisotropic diffusion speckle filtering (IEEE Transactions on Image Processing)
  8. Digital image processing
  9. Despeckling of medical ultrasound images (IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control)
  10. Real-time speckle reduction and coherence enhancement in ultrasound imaging via nonlinear anisotropic diffusion (IEEE Transactions on Biomedical Engineering)

Their papers