Faculty Name | Contact

Content

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PhD Thesis

R. Annunziata:
"Leveraging Modelling and Machine Learning for the Analysis of Curvlinear Structures in Medical Images",
School of Science and Engineering, Computing, University of Dundee, 12th Aug 2016.

Journals

[4] R. Annunziata and E. Trucco:
"Accelerating Convolutional Sparse Coding for Curvilinear Structures Segmentation by Refining
SCIRD-TS Filter Banks",
IEEE Transactions on Medical Imaging, 2016.

[3] R. Annunziata, A. Kheirkhah, S. Aggarwal, P. Hamrah and E. Trucco:
"A Fully Automated Tortuosity Quantification System with Application to Corneal Nerve Fibres In Confocal Microscopy Images",
Medical Image Analysis, 2016. [bib]

[2] R. Annunziata, A. Kheirkhah, S. Aggarwal, B. M. Cavalcanti, P. Hamrah and E. Trucco:
"Two-Dimensional Plane for Multi-Scale Quantification of Corneal Subbasal Nerve Tortuosity",
Investigative Ophthalmology & Visual Science, 2016. [bib]

[1] R. Annunziata, A. Garzelli, L. Ballerini, A. Mecocci and E. Trucco:
"Leveraging Multiscale Hessian-based Enhancement with a Novel Exudate Inpainting Technique for Retinal Vessel Segmentation",
IEEE Journal of Biomedical and Health Informatics, 2015. [bib]


Conferences

[11] Annunziata R., Kheirkhah A., Hamrah P., Trucco E.:
"Scale and Curvature Invariant Ridge Detector for Tortuous and Fragmented Structures",
Proceedings of Medical Image Computing and Computer Assisted Interventions (MICCAI), 2015, Munich, Germany. [bib][ERRATA CORRIGE][Poster] [MATLAB code]
(acceptance rate: 32.5%)

[10] Annunziata R., Kheirkhah A., Hamrah P., Trucco E.:
"Boosting Hand-Crafted Features for Curvilinear Structure Segmentation by Learning Context Filters",
Proceedings of Medical Image Computing and Computer Assisted Interventions (MICCAI), 2015, Munich, Germany. [bib] [Poster]
(acceptance rate: 32.5%)

[9] Annunziata R., Kheirkhah A., Hamrah P., Trucco E.:
"Combining Efficient Hand-Crafted Features with Learned Filters for Fast and Accurate Corneal Nerve Fibre Centreline Detection",
Proceedings of IEEE Engineering in Medicine and Biology Society (EMBS) 2015, Milan, Italy . [bib]
(Oral presentation)

[8] Annunziata R, Kheirkhah A, Hamrah P, Trucco E:
"Towards Robust and Efficient Automated Curvilinear Structure Detection in Medical Images",
PhD symposium 2015, School of Computing, University of Dundee, Dundee, UK. [bib]
(BEST PAPER AWARD)

[7] E. Trucco, R. Annunziata, L Ballerini, E. Pellegrini, S. McKenna, T. MacGillivray, T. Pearson, D. Relan, G. Robertson, A. Doney, B. Dhillon, J. Cameron:
"VAMPIRE: Vessel Assessment and Measurement Platform for Images of the REtina",
SICSA Dundee Medical Image Analysis Workshop 2015, Dundee, UK. [bib]

[6] Annunziata R, Kheirkhah A, Aggarwal S, Cavalcanti BM, Hamrah P, Trucco E:
"Tortuosity classification of corneal nerves images using a multiple-scale-multiple-window approach",
Proceedings of the Ophthalmic Medical Image Analysis (OMIA) Workshop, MICCAI 2014, Boston, USA. [bib]

[5] S. Manivannan, H. Shen, W. Li, R. Annunziata, H. Hamad, R. Wang, J. Zhang:
"Brain Tumor Region Segmentation using Local Co-occurrence Features and Conditional Random Fields",.
Proceedings of Digital Pathology Classification and Segmentation Challenge (Workshop), MICCAI 2014, Boston, USA. [bib]

[4] A. Lisowska, R. Annunziata, E. Trucco, D. Karl, G.K. Loh,
"An Experimental Assessment of Five Indices of Retinal Vessel Tortuosity with the RET-TORT Public Dataset",
36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS'14), Chicago, Illinois, USA. [bib]

[3] R. Annunziata, A. Kheirkhah, S. Aggarwal, B.M. Cavalcanti, P. Hamrah, E. Trucco,
"A Supervised Approach for Classifying Corneal Nerves Images in 4 Tortuosity Levels",
6th SINAPSE Annual Scientific Meeting and SPIRIT Workshop, Edinburgh, UK. [Poster PA23].

[2] T. MacGillivray, G. Robertson, D. Relan, E. Pellegrini, K. Zutis, R. Annunziata, L. Ballerini, J. Cameron, B. Dhillon, E. Trucco, C. Lupascu, D. Tegolo, A. Giachetti, A. Doney, P. Wilson,
"VAMPIRE: Vasculature Assessment and Measurement Platform for Images of the REtina",
6th SINAPSE Annual Scientific Meeting and SPIRIT Workshop, Edinburgh, Scotland, UK. Closest to market poster award. [Poster PD9].

[1] R. Annunziata, A. Mecocci, A. Garzelli,
"A Novel Unsupervised Approach for Improved Automatic Retinal Vessels Segmentation through Exudates Estimation, Eigenvalue Analysis and Regularization",
11th ARVO/ISIE Imaging Conference, Seattle, Washington.

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