Pilar Sobrevilla
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
- Computer Vision and Pattern Recognition — 14 citations into it; #11,305 of 21,575 by trust here, #16,367 by citations
Whom Pilar Sobrevilla trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Pilar Sobrevilla overall
- A. Işın
- Melike Šah
- Cem Direkoǧlu
- Pascal Fua
- Raphael Sznitman
- Arun Kumar Ray
- Nilesh Bhaskarrao Bahadure
- Ksenia Konyushkova
- H. Thethi
Papers from Pilar Sobrevilla's perspective
Ordered by how strongly the researchers Pilar Sobrevilla trusts endorse each paper. Same corpus, a different order for every researcher.
- Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
- Level-set evolution with region competition: automatic 3-D segmentation of brain tumors (Object recognition supported by user interaction for service robots)
- 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))
- 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))
- A brain tumor segmentation framework based on outlier detection (Medical Image Anal.)
- Minimization of Region-Scalable Fitting Energy for Image Segmentation (IEEE Transactions on Image Processing)
- Active contours without edges
- Watershed-Based Segmentation and Region Merging (Computer Vision and Image Understanding)
- A Review of Methods for Correction of Intensity Inhomogeneity in MRI (IEEE Transactions on Medical Imaging)
- Deformable Models (Encyclopedia of Biometrics)
Their papers
- State of the art survey on MRI brain tumor segmentation. (2013) — 709 citations