John Pluta

Computer Vision and Pattern Recognition · 2008–2014

A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom John Pluta trusts overall

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

  1. Brian B. Avants
  2. James C. Gee
  3. Xabier Artaechevarria
  4. Rolf A. Heckemann
  5. Paul Aljabar
  6. Eric Learned-Miller
  7. Antoine Bechara
  8. Stephen M. Smith
  9. Guido Gerig
  10. Yoav Benjamini

Who trusts John Pluta overall

  1. Nicholas J. Tustison
  2. Brian B. Avants

Papers from John Pluta's perspective

Ordered by how strongly the researchers John Pluta 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. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation (IEEE Transactions on Medical Imaging)
  3. Evaluation of atlas selection strategies for atlas-based image segmentation with application to confocal microscopy images of bee brains (NeuroImage)
  4. Advances in functional and structural MR image analysis and implementation as FSL.
  5. Valmet: A New Validation Tool for Assessing and Improving 3D Object Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  6. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm (IEEE Transactions on Medical Imaging)
  7. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest (NeuroImage)
  8. Geodesic estimation for large deformation anatomical shape averaging and interpolation. (NeuroImage)
  9. User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability
  10. Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration (NeuroImage)

Their papers