| Leveraging multiscale hessian-based enhancement with a novel exudate inpainting technique for retinal vessel segmentation R Annunziata, A Garzelli, L Ballerini, A Mecocci, E Trucco IEEE Biomedical and Health Informatics, 2015 | 174 | 2015 |
| A fully automated tortuosity quantification system with application to corneal nerve fibres in confocal microscopy images R Annunziata, A Kheirkhah, S Aggarwal, P Hamrah, E Trucco Medical image analysis 32, 216-232, 2016 | 74 | 2016 |
| Accelerating Convolutional Sparse Coding for Curvilinear Structures Segmentation by Refining SCIRD-TS Filter Banks R Annunziata, E Trucco IEEE Transactions on Medical Imaging, 2016 | 58 | 2016 |
| An experimental assessment of five indices of retinal vessel tortuosity with the RET-TORT public dataset A Lisowska, R Annunziata, GK Loh, D Karl, E Trucco 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 47 | 2014 |
| Scale and curvature invariant ridge detector for tortuous and fragmented structures R Annunziata, A Kheirkhah, P Hamrah, E Trucco Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th …, 2015 | 41 | 2015 |
| Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections JE Iglesias, M Modat, L Peter, A Stevens, R Annunziata, T Vercauteren, ... Medical image analysis 50, 127-144, 2018 | 29 | 2018 |
| Tortuosity classification of corneal nerves images using a multiple-scale-multiple-window approach R Annunziata, A Kheirkhah, S Aggarwal, BM Cavalcanti, P Hamrah, ... 1st Workshop on Ophthalmic Medical Image Analysis, MICCAI, 2014 | 28 | 2014 |
| Two-dimensional plane for multi-scale quantification of corneal subbasal nerve tortuosity R Annunziata, A Kheirkhah, S Aggarwal, BM Cavalcanti, P Hamrah, ... Investigative ophthalmology & visual science 57 (3), 1132-1139, 2016 | 14 | 2016 |
| Boosting hand-crafted features for curvilinear structure segmentation by learning context filters R Annunziata, A Kheirkhah, P Hamrah, E Trucco Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th …, 2015 | 14 | 2015 |
| Jointly aligning millions of images with deep penalised reconstruction congealing R Annunziata, C Sagonas, J Cali Proceedings of the IEEE/CVF International Conference on Computer Vision, 81-90, 2019 | 11 | 2019 |
| Destnet: Densely fused spatial transformer networks R Annunziata, C Sagonas, J Calì arXiv preprint arXiv:1807.04050, 2018 | 8 | 2018 |
| Combination of CNN and hand-crafted feature for ischemic Stroke Lesion segmentation H Shen, S Manivannan, R Annunziata, R Wang, J Zhang Ischemic stroke lesion segmentation 1, 2016 | 8 | 2016 |
| Brain tumor region segmentation using local co-occurrence features and conditional random fields S Manivannan, H Shen, W Li, R Annunziata, H Hamad, R Wang, J Zhang Technique Report, 015-019, 2014 | 7 | 2014 |
| A next-generation, histological atlas of the human brain and its application to automated brain MRI segmentation A Casamitjana, M Mancini, E Robinson, L Peter, R Annunziata, ... bioRxiv, 2024 | 5 | 2024 |
| Lein, Bruce Fischl, Sebastien Ourselin, Alzheimers Disease Neuroimaging Initiative, et al. Joint registration and synthesis using a probabilistic model for alignment of mri and … JE Iglesias, M Modat, L Peter, A Stevens, R Annunziata, T Vercauteren Medical image analysis 50 (127-144), 3, 2018 | 4 | 2018 |
| Combining efficient hand-crafted features with learned filters for fast and accurate corneal nerve fibre centreline detection R Annunziata, A Kheirkhah, P Hamrah, E Trucco 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 4 | 2015 |
| Hemodynamic parameters and vessel tortuosity: an investigation with a mesenterial vascular network R Annunziata, B Reglin, A Pries, E Trucco Modeling and Artificial Intelligence in Ophthalmology 1 (4), 62-68, 2017 | 1 | 2017 |
| Leveraging modelling and machine learning for the analysis of curvilinear structures in medical images R Annunziata University of Dundee, 2016 | 1 | 2016 |
| Signal-based machine learning fraud detection P Botros, R Sabathe, E Christiansen, S Bonev, R Annunziata, ... US Patent 12,183,107, 2024 | | 2024 |
| Method for detecting fraud in documents J Gietema, M Mahadevan, R Annunziata, P Reynaert, E Ivanova, Y Li, ... US Patent 12,067,796, 2024 | | 2024 |
Emanuele Trucco, FRSA, FIAPR, FBM...VAMPIRE/CVIP, Computing, University of Dundeeبريد إلكتروني تم التحقق منه على dundee.ac.uk