N. Gordillo

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom N. Gordillo trusts overall

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

  1. Songcan Chen
  2. Sílvia Delgado Olabarriaga
  3. Andre Bleau
  4. Sean Ho
  5. Daoqiang Zhang
  6. Elizabeth Bullitt
  7. Arnold M. W. Smeulders
  8. L. Leon
  9. Franjo Pernus
  10. Stanley J. Osher

Who trusts N. Gordillo overall

  1. A. Işın
  2. Nilesh Bhaskarrao Bahadure
  3. Ksenia Konyushkova
  4. Snehasis Mukherjee
  5. Zhihua Liu
  6. Cem Direkoǧlu
  7. Raphael Sznitman
  8. Arun Kumar Ray

Papers from N. Gordillo's perspective

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

  1. Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
  2. Level-set evolution with region competition: automatic 3-D segmentation of brain tumors (Object recognition supported by user interaction for service robots)
  3. Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure (IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics))
  4. MR brain image segmentation using an enhanced fuzzy C-means algorithm (Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439))
  5. A brain tumor segmentation framework based on outlier detection (Medical Image Anal.)
  6. Minimization of Region-Scalable Fitting Energy for Image Segmentation (IEEE Transactions on Image Processing)
  7. Active contours without edges
  8. Watershed-Based Segmentation and Region Merging (Computer Vision and Image Understanding)
  9. A Review of Methods for Correction of Intensity Inhomogeneity in MRI (IEEE Transactions on Medical Imaging)
  10. Deformable Models (Encyclopedia of Biometrics)

Their papers