Hongzhi Wang

Computer Vision and Pattern Recognition · with Das · 2012–2014

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hongzhi Wang trusts overall

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

  1. Brian B. Avants
  2. Rolf A. Heckemann
  3. Paul Aljabar
  4. Xabier Artaechevarria
  5. Simon Keith Warfield
  6. Torsten Rohlfing
  7. Stephen M. Smith
  8. Paul Yushkevich
  9. Ivana Isgum
  10. Joseph V. Hajnal

Who trusts Hongzhi Wang overall

  1. Holger R. Roth
  2. Le Lu
  3. Juan Eugenio Iglesias
  4. Zhipeng Ding
  5. Paul Yushkevich
  6. Nicholas J. Tustison
  7. Eli Gibson
  8. Mert Rory Sabuncu
  9. Jean-Philippe Fortin

Papers from Hongzhi Wang's perspective

Ordered by how strongly the researchers Hongzhi Wang 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. Evaluation of atlas selection strategies for atlas-based image segmentation with application to confocal microscopy images of bee brains (NeuroImage)
  3. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation (IEEE Transactions on Medical Imaging)
  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. Geodesic estimation for large deformation anatomical shape averaging and interpolation. (NeuroImage)
  7. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest (NeuroImage)
  8. User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability
  9. Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain (Medical Image Anal.)
  10. Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy (NeuroImage)

Their papers