George Azzopardi

Computer Vision and Pattern Recognition · 2015–2020

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it; #19,250 of 21,575 by trust here, #15,529 by citations
• Radiology, Nuclear Medicine and Imaging — 18 citations into it; #2,493 of 3,265 by trust here, #2,321 by citations
• Biomedical Engineering — 16 citations into it
• Ophthalmology — 14 citations into it; #195 of 222 by trust here, #97 by citations
• Electrical and Electronic Engineering — 5 citations into it

Whom George Azzopardi trusts overall

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

1. Ana Maria Mendonça
2. Elisa Ricci
3. Joes Staal
4. Adams Wai-Kin Kong
5. Gang Luo
6. Bashir Al-Diri
7. Conor Heneghan
8. Michael David Abràmoff
9. Bogdan Kwolek
10. Michal Kepski

Who trusts George Azzopardi overall

1. Paweł Liskowski
2. José Ignacio Orlando
3. Yitian Zhao
4. Jiong Zhang
5. Qiaoliang Li
6. Zaiwang Gu
7. Krzysztof Krawiec
8. Elena Prokofyeva

Papers from George Azzopardi's perspective

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

1. Ridge-based vessel segmentation in color images of the retina (IEEE Transactions on Medical Imaging)
2. Segmentation of vessel-like patterns using mathematical morphology and curvature evaluation (IEEE Transactions on Image Processing)
3. Deep Learning
4. Comparative study of retinal vessel segmentation methods on a new publicly available database (SPIE Medical Imaging)
5. Detection and measurement of retinal vessels in fundus images using amplitude modified second-order Gaussian filter (IEEE Transactions on Biomedical Engineering)
6. Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction (IEEE Transactions on Medical Imaging)
7. Retinal Imaging and Image Analysis (IEEE Reviews in Biomedical Engineering)
8. Characterization of changes in blood vessel width and tortuosity in retinopathy of prematurity using image analysis (Medical Image Anal.)
9. Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm.
10. Retinal Blood Vessel Segmentation Using Line Operators and Support Vector Classification (IEEE Transactions on Medical Imaging)

Their papers

• Elderly Fall Detection Systems: A Literature Survey (2020) — 314 citations
• Trainable COSFIRE filters for vessel delineation with application to retinal images (2015) — 707 citations