Natalie M. Zahr

Computer Vision and Pattern Recognition · 2009

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Natalie M. Zahr trusts overall

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

  1. Stephen M. Smith
  2. John Ashburner
  3. Torsten Rohlfing
  4. Daniel Rueckert
  5. Yongyue Zhang
  6. Bostjan Likar
  7. Daniel B. Russakoff

Who trusts Natalie M. Zahr overall

  1. Christoph Baur
  2. Berkin Bilgic

Papers from Natalie M. Zahr's perspective

Ordered by how strongly the researchers Natalie M. Zahr trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Automatic anatomical brain MRI segmentation combining label propagation and decision fusion (NeuroImage)
  2. Fast robust automated brain extraction
  3. Voxel-based morphometry--the methods.
  4. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm (IEEE Transactions on Medical Imaging)
  5. Nonrigid registration using free-form deformations: application to breast MR images
  6. Evaluation of atlas selection strategies for atlas-based image segmentation with application to confocal microscopy images of bee brains (NeuroImage)
  7. Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain (NeuroImage)
  8. Automatic segmentation of brain MRIs of 2-year-olds into 83 regions of interest (NeuroImage)
  9. Four factor index of social status
  10. MR-based automatic delineation of volumes of interest in human brain PET images using probability maps (NeuroImage)

Their papers