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George Azzopardi
George Azzopardi
Associate Professor, Computer Science, Bernoulli Institute, University of Groningen
Bestätigte E-Mail-Adresse bei rug.nl - Startseite
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Zitiert von
Zitiert von
Jahr
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
7882015
Elderly fall detection systems: A literature survey
X Wang, J Ellul, G Azzopardi
Frontiers in Robotics and AI 7, 71, 2020
3202020
Detection of illicit accounts over the Ethereum blockchain
S Farrugia, J Ellul, G Azzopardi
Expert Systems with Applications 150, 113318, 2020
2282020
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
1512013
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, 177-189, 2012
1362012
A framework for feature selection through boosting
A Alsahaf, N Petkov, V Shenoy, G Azzopardi
Expert Systems with Applications 187, 115895, 2022
1282022
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
1142013
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
1092016
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
942017
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
702020
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
602014
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
562018
Color-blob-based COSFIRE filters for object recognition
B Gecer, G Azzopardi, N Petkov
Image and Vision Computing 57, 165-174, 2017
552017
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
432016
Robust Inhibition-augmented Operator for Delineation of Curvilinear Structures
N Strisciuglio, G Azzopardi, N Petkov
IEEE Transactions on Image Processing 28 (12), 5852-5866, 2019
412019
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
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
402011
Injury prediction in competitive runners with machine learning
SS Lövdal, RJR Den Hartigh, G Azzopardi
International journal of sports physiology and performance 16 (10), 1522-1531, 2021
392021
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
392014
Multiscale Blood Vessel Delineation Using B-COSFIRE Filters
N Strisciuglio, G Azzopardi, M Vento, N Petkov
Computer Analysis of Images and Patterns: 16th International Conference …, 2015
382015
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