Kelvin K. Leung

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kelvin K. Leung trusts

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

  1. John Ashburner (in Computer Vision and Pattern Recognition)
  2. Stephen M. Smith (in Radiology, Nuclear Medicine and Imaging)

Papers from Kelvin K. Leung's perspective

Ordered by how strongly the researchers Kelvin K. Leung trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Voxel-based morphometry--the methods.
  2. Automatic anatomical brain MRI segmentation combining label propagation and decision fusion (NeuroImage)
  3. A nonparametric method for automatic correction of intensity nonuniformity in MRI data
  4. Fast robust automated brain extraction
  5. A fast diffeomorphic image registration algorithm (NeuroImage)
  6. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation (IEEE Transactions on Medical Imaging)
  7. Evaluation of atlas selection strategies for atlas-based image segmentation with application to confocal microscopy images of bee brains (NeuroImage)
  8. Unbiased Average Age-Appropriate Atlases for Pediatric Studies (NeuroImage)
  9. Advances in functional and structural MR image analysis and implementation as FSL.
  10. Image quality assessment: from error visibility to structural similarity

Their papers