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George Azzopardi
George Azzopardi
Asst Professor, Computer Science, Bernoulli Institute, University of Groningen, University of Malta
Verified email at rug.nl - Homepage
Title
Cited by
Cited by
Year
Trainable COSFIRE filters for vessel delineation with application to retinal images
G Azzopardi, N Strisciuglio, M Vento, N Petkov
Medical image analysis 19 (1), 46-57, 2015
6592015
Trainable COSFIRE filters for keypoint detection and pattern recognition
G Azzopardi, N Petkov
Pattern Analysis and Machine Intelligence, IEEE Transactions on 35 (2), 490-503, 2013
1362013
A CORF computational model of a simple cell that relies on LGN input outperforms the Gabor function model
G Azzopardi, N Petkov
Biological cybernetics 106 (3), 177-189, 2012
1232012
Elderly fall detection systems: A literature survey
X Wang, J Ellul, G Azzopardi
Frontiers in Robotics and AI 7, 71, 2020
1132020
Automatic detection of vascular bifurcations in segmented retinal images using trainable COSFIRE filters
G Azzopardi, N Petkov
Pattern Recognition Letters 34 (8), 922-933, 2013
1022013
Detection of illicit accounts over the Ethereum blockchain
S Farrugia, J Ellul, G Azzopardi
Expert Systems with Applications 150, 113318, 2020
982020
Supervised vessel delineation in retinal fundus images with the automatic selection of B-COSFIRE filters
N Strisciuglio, G Azzopardi, M Vento, N Petkov
Machine Vision and Applications, 2016
962016
Machine-vision-based identification of broken inserts in edge profile milling heads
L Fernández-Robles, G Azzopardi, E Alegre, N Petkov
Robotics and Computer-Integrated Manufacturing 44, 276-283, 2017
702017
A push-pull CORF model of a simple cell with antiphase inhibition improves SNR and contour detection
G Azzopardi, A Rodríguez-Sánchez, J Piater, N Petkov
PLoS One 9 (7), e98424, 2014
502014
Color-blob-based COSFIRE filters for object recognition
B Gecer, G Azzopardi, N Petkov
Image and Vision Computing 57, 165-174, 2017
442017
Fusion of domain-specific and trainable features for gender recognition from face images
G Azzopardi, A Greco, A Saggese, M Vento
IEEE Access 6, 24171-24183, 2018
402018
Detection of retinal vascular bifurcations by trainable V4-like filters
G Azzopardi, N Petkov
International Conference on Computer Analysis of Images and Patterns, 451-459, 2011
372011
Gender recognition from face images with trainable COSFIRE filters
G Azzopardi, A Greco, M Vento
13th IEEE International Conference on Advanced Video and Signal Based …, 2016
362016
Multiscale blood vessel delineation using B-COSFIRE filters
N Strisciuglio, G Azzopardi, M Vento, N Petkov
International Conference on Computer Analysis of Images and Patterns, 300-312, 2015
362015
A framework for feature selection through boosting
A Alsahaf, N Petkov, V Shenoy, G Azzopardi
Expert Systems with Applications 187, 115895, 2022
332022
A framework for creating deployable smart contracts for non-fungible tokens on the Ethereum blockchain
D Chirtoaca, J Ellul, G Azzopardi
2020 IEEE International Conference on Decentralized Applications and …, 2020
332020
Ventral-stream-like shape representation: from pixel intensity values to trainable object-selective COSFIRE models
G Azzopardi, N Petkov
Frontiers in computational neuroscience 8, 80, 2014
332014
Gender recognition from face images using a fusion of svm classifiers
G Azzopardi, A Greco, M Vento
International Conference on Image Analysis and Recognition, 533-538, 2016
322016
Unsupervised delineation of the vessel tree in retinal fundus images
N Strisciuglio, M Vento, G Azzopardi, N Petkov
302015
The Blockchain of Things, Beyond Bitcoin: A Systematic Review
FA Abadi, J Ellul, G Azzopardi
IEEE Cybermatics, The 2018 IEEE International Conference on Blockchain, 1666 …, 2018
292018
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