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Roberto Annunziata
Roberto Annunziata
Research @ Tractable
Verified email at tractable.ai
Title
Cited by
Cited by
Year
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
1652015
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
692016
Accelerating Convolutional Sparse Coding for Curvilinear Structures Segmentation by Refining SCIRD-TS Filter Banks
R Annunziata, E Trucco
IEEE Transactions on Medical Imaging, 2016
532016
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 iná…, 2014
442014
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: 18thá…, 2015
402015
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
272014
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
252018
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
142016
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: 18thá…, 2015
142015
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
92019
Destnet: Densely fused spatial transformer networks
R Annunziata, C Sagonas, J Calý
arXiv preprint arXiv:1807.04050, 2018
82018
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
82016
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
72014
Lein, Bruce Fischl, Sebastien Ourselin, Alzheimers Disease Neuroimaging Initiative, et al. Joint registration and synthesis using a probabilistic model for alignment of mri andá…
JE Iglesias, M Modat, L Peter, A Stevens, R Annunziata, T Vercauteren
Medical image analysis 50 (127-144), 3, 2018
42018
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 iná…, 2015
42015
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
12017
Leveraging modelling and machine learning for the analysis of curvilinear structures in medical images
R Annunziata
University of Dundee, 2016
12016
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, 2024.02. 05.579016, 2024
2024
Generalized anomaly detection
M Mahadevan, R Annunziata, P Botros, L Christiansen, F Picciotti, ...
US Patent App. 17/830,208, 2023
2023
Signal-based machine learning fraud detection
P Botros, R Sabathe, L Christiansen, S Bonev, R Annunziata, ...
US Patent App. 17/830,206, 2022
2022
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