Oscar Camara

Computer Vision and Pattern Recognition · 2006–2020

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Oscar Camara trusts overall

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

  1. John Ashburner
  2. Yongyue Zhang
  3. Didier Dubois
  4. Guido Gerig
  5. Jussi Tohka
  6. Alejandro F Frangi
  7. David W. Shattuck

Who trusts Oscar Camara overall

  1. Davood Karimi
  2. Huan Fu
  3. Fausto Milletarì
  4. Michael Yeung
  5. Jun Cheng
  6. Mathias Perslev
  7. M. Dylan Tisdall
  8. Gerard R. Ridgway
  9. Liu Jin

Papers from Oscar Camara's perspective

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

  1. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm (IEEE Transactions on Medical Imaging)
  2. Magnetic resonance image tissue classification using a partial volume model. (NeuroImage)
  3. Pattern classification and scene analysis
  4. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation (IEEE Transactions on Medical Imaging)
  5. Voxel-based morphometry--the methods.
  6. Valmet: A New Validation Tool for Assessing and Improving 3D Object Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  7. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  8. Comparing Images Using the Hausdorff Distance
  9. ImageNet: A large-scale hierarchical image database
  10. Automatic construction of multiple-object three-dimensional statistical shape models: application to cardiac modeling (IEEE Transactions on Medical Imaging)

Their papers