| 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 | 462 | 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 | 120 | 2013 |
| 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 | 115 | 2012 |
| 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 | 81 | 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 | 59 | 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 | 42 | 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 | 38 | 2014 |
| 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 | 35 | 2011 |
| Color-blob-based COSFIRE filters for object recognition B Gecer, G Azzopardi, N Petkov Image and Vision Computing 57, 165-174, 2017 | 33 | 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 | 32 | 2018 |
| 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 | 30 | 2015 |
| 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 | 27 | 2016 |
| 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 | 27 | 2014 |
| 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 | 25 | 2016 |
| Unsupervised delineation of the vessel tree in retinal fundus images N Strisciuglio, M Vento, G Azzopardi, N Petkov | 25 | 2015 |
| Cutting edge localisation in an edge profile milling head L Fernández-Robles, G Azzopardi, E Alegre, N Petkov International Conference on Computer Analysis of Images and Patterns, 336-347, 2015 | 17 | 2015 |
| 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 | 14 | 2018 |
| Detection of curved lines with B-COSFIRE filters: A case study on crack delineation N Strisciuglio, G Azzopardi, N Petkov International Conference on Computer Analysis of Images and Patterns, 108-120, 2017 | 14 | 2017 |
| Incremental concept learning with few training examples and hierarchical classification H Bouma, PT Eendebak, K Schutte, G Azzopardi, GJ Burghouts Optics and Photonics for Counterterrorism, Crime Fighting, and Defence XI …, 2015 | 13 | 2015 |
| Interactive detection of incrementally learned concepts in images with ranking and semantic query interpretation K Schutte, H Bouma, J Schavemaker, L Daniele, M Sappelli, G Koot, ... 2015 13th International Workshop on Content-Based Multimedia Indexing (CBMI …, 2015 | 13 | 2015 |
Nicolai PetkovUniversity of GroningenEmail verificata su rug.nl
