George Azzopardi

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Nicolai PetkovUniversity of GroningenVerified email at rug.nl
Nicola StrisciuglioUniversity of Twente (Assistant Professor)Verified email at utwente.nl
Prof. Mario Vento, Ph.D.University of Salerno, Dept. of Information and Electrical Engineering and Applied Math (DIEM)Verified email at unisa.it
ENRIQUE ALEGREProfessor in Computer Science. Universidad de Leon (Spain)Verified email at unileon.es
Ahmad AlsahafUniversity Medical Center GroningenVerified email at umcg.nl
Joshua EllulAssociate Professor and Director of Centre for DLT, University of MaltaVerified email at um.edu.mt
Jiapan Guopostdoc in medical image informaticsVerified email at rug.nl
Laura FERNÁNDEZ-ROBLESUniversity of LeónVerified email at unileon.es
Roel VeerkampProf. Numerieke genetica en genomica, ABGC, Wageningen Livestock ResearchVerified email at wur.nl
Bart DucroAssistant Professor, Animal Breeding and Genetics, Wageningen University and ResearchVerified email at wur.nl
Antonio Rodriguez-SanchezAssociate Professor, University of InnsbruckVerified email at uibk.ac.at
Xueyi WangUniversity of GroningenVerified email at rug.nl
Alessia Saggese, PhDAssociate Professor, University of SalernoVerified email at unisa.it
Justus PiaterProfessor of Computer Science, University of Innsbruck, AustriaVerified email at uibk.ac.at
Andreas NeocleousPost doc, University of CyprusVerified email at ucy.ac.cy
Guru Swaroop BennabhaktulaDoctoral Researcher, University of León & University of GroningenVerified email at rug.nl
Henri BoumaSenior scientist at TNOVerified email at tno.nl
Klamer SchutteTNO, Intelligent ImagingVerified email at TNO.nl
Pieter EendebakQuTech, TNO, University of AntwerpVerified email at tno.nl
Christos N. SchizasProfessor of Computer Science, University of CyprusVerified email at ucy.ac.cy

George Azzopardi

Asst Professor, Computer Science, Bernoulli Institute, University of Groningen, University of Malta

Verified email at rug.nl - Homepage

Brain-inspired computing Computer Vision Pattern Recognition Machine Learning Information Retrieval


Title Sort by citations Sort by year Sort by 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	680	2015
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	136	2013
Elderly fall detection systems: A literature survey X Wang, J Ellul, G Azzopardi Frontiers in Robotics and AI 7, 71, 2020	127	2020
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	125	2012
Detection of illicit accounts over the Ethereum blockchain S Farrugia, J Ellul, G Azzopardi Expert Systems with Applications 150, 113318, 2020	106	2020
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	103	2013
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	98	2016
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	71	2017
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	51	2014
Color-blob-based COSFIRE filters for object recognition B Gecer, G Azzopardi, N Petkov Image and Vision Computing 57, 165-174, 2017	45	2017
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	43	2018
A framework for feature selection through boosting A Alsahaf, N Petkov, V Shenoy, G Azzopardi Expert Systems with Applications 187, 115895, 2022	40	2022
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	38	2020
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	37	2016
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	37	2015
Detection of retinal vascular bifurcations by trainable V4-like filters G Azzopardi, N Petkov Computer Analysis of Images and Patterns: 14th International Conference …, 2011	37	2011
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	33	2014
Gender recognition from face images using a fusion of svm classifiers G Azzopardi, A Greco, M Vento Image Analysis and Recognition: 13th International Conference, ICIAR 2016 …, 2016	32	2016
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	31	2018
Unsupervised delineation of the vessel tree in retinal fundus images N Strisciuglio, M Vento, G Azzopardi, N Petkov	30	2015

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