Arturo Aquino

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

Whom Arturo Aquino trusts overall

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

  1. A. Youssif
  2. Thomas Walter
  3. Conor Heneghan
  4. Meindert Niemeijer
  5. Atef Zaki Ghalwash
  6. Ana Maria Mendonça
  7. Tim McInerney
  8. Joes Staal
  9. Elisa Ricci
  10. Jean-Claude Klein

Who trusts Arturo Aquino overall

  1. Huan Fu
  2. Zaiwang Gu
  3. Zengqiang Yan
  4. Jun Cheng
  5. José Ignacio Orlando
  6. Yao Zhou
  7. Sohini Roychowdhury
  8. Muhammad Moazam Fraz
  9. Uyen T. V. Nguyen
  10. Yitian Zhao

Papers from Arturo Aquino's perspective

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

  1. Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response (IEEE Transactions on Medical Imaging)
  2. Comparative study of retinal vessel segmentation methods on a new publicly available database (SPIE Medical Imaging)
  3. Ridge-based vessel segmentation in color images of the retina (IEEE Transactions on Medical Imaging)
  4. Automatic detection of red lesions in digital color fundus photographs (IEEE Transactions on Medical Imaging)
  5. Optic nerve head segmentation (IEEE Transactions on Medical Imaging)
  6. Characterization of changes in blood vessel width and tortuosity in retinopathy of prematurity using image analysis (Medical Image Anal.)
  7. T-snakes: Topology adaptive snakes (Medical Image Anal.)
  8. Segmentation of Color Fundus Images of the Human Retina: Detection of the Optic Disc and the Vascular Tree Using Morphological Techniques (ISMDA)
  9. Automated feature extraction in color retinal images by a model based approach (IEEE Transactions on Biomedical Engineering)
  10. Automatic detection of microaneurysms in color fundus images (Medical Image Anal.)

Their papers