Manuel Emilio Gegúndez-Arias
Computer Vision and Pattern Recognition · 2010–2011
A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 36 citations into it
- Radiology, Nuclear Medicine and Imaging — 34 citations into it
- Ophthalmology — 28 citations into it
Whom Manuel Emilio Gegúndez-Arias trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thomas Walter
- A. Youssif
- Meindert Niemeijer
- Conor Heneghan
- Ana Maria Mendonça
- Tim McInerney
- Joes Staal
- Elisa Ricci
Who trusts Manuel Emilio Gegúndez-Arias overall
Papers from Manuel Emilio Gegúndez-Arias's perspective
Ordered by how strongly the researchers Manuel Emilio Gegúndez-Arias trusts endorse each paper. Same corpus, a different order for every researcher.
- Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response (IEEE Transactions on Medical Imaging)
- Comparative study of retinal vessel segmentation methods on a new publicly available database (SPIE Medical Imaging)
- Ridge-based vessel segmentation in color images of the retina (IEEE Transactions on Medical Imaging)
- Automatic detection of red lesions in digital color fundus photographs (IEEE Transactions on Medical Imaging)
- Optic nerve head segmentation (IEEE Transactions on Medical Imaging)
- T-snakes: Topology adaptive snakes (Medical Image Anal.)
- Characterization of changes in blood vessel width and tortuosity in retinopathy of prematurity using image analysis (Medical Image Anal.)
- Segmentation of Color Fundus Images of the Human Retina: Detection of the Optic Disc and the Vascular Tree Using Morphological Techniques (ISMDA)
- Automatic detection of microaneurysms in color fundus images (Medical Image Anal.)
- Automated feature extraction in color retinal images by a model based approach (IEEE Transactions on Biomedical Engineering)
Their papers
- A New Supervised Method for Blood Vessel Segmentation in Retinal Images by Using Gray-Level and Moment Invariants-Based Features (2011) — 1,008 citations
- Detecting the Optic Disc Boundary in Digital Fundus Images Using Morphological, Edge Detection, and Feature Extraction Techniques (2010) — 559 citations