Spremljaj
Santa Di Cataldo
Santa Di Cataldo
Preverjeni e-poštni naslov na polito.it
Naslov
Navedeno
Navedeno
Leto
Automated segmentation of tissue images for computerized IHC analysis
S Di Cataldo, E Ficarra, A Acquaviva, E Macii
Computer methods and programs in biomedicine 100 (1), 1-15, 2010
1682010
A multi-patient data-driven approach to blood glucose prediction
A Aliberti, I Pupillo, S Terna, E Macii, S Di Cataldo, E Patti, A Acquaviva
Ieee Access 7, 69311-69325, 2019
1432019
Colorectal cancer classification using deep convolutional networks
F Ponzio, E Macii, E Ficarra, S Di Cataldo
Proceedings of the 11th international joint conference on biomedical …, 2018
802018
Mining textural knowledge in biological images: Applications, methods and trends
S Di Cataldo, E Ficarra
Computational and structural biotechnology journal 15, 56-67, 2017
792017
Computer-aided techniques for chromogenic immunohistochemistry: status and directions
S Di Cataldo, E Ficarra, E Macii
Computers in biology and medicine 42 (10), 1012-1025, 2012
792012
Battery-aware operation range estimation for terrestrial and aerial electric vehicles
D Baek, Y Chen, A Bocca, L Bottaccioli, S Di Cataldo, V Gatteschi, ...
IEEE Transactions on Vehicular Technology 68 (6), 5471-5482, 2019
682019
Subclass discriminant analysis of morphological and textural features for hep-2 staining pattern classification
S Di Cataldo, A Bottino, IU Islam, TF Vieira, E Ficarra
Pattern Recognition 47 (7), 2389-2399, 2014
662014
An automated approach to the segmentation of HEp-2 cells for the indirect immunofluorescence ANA test
S Tonti, S Di Cataldo, A Bottino, E Ficarra
Computerized Medical Imaging and Graphics 40, 62-69, 2015
562015
Applying textural features to the classification of HEp-2 cell patterns in IIF images
S Di Cataldo, A Bottino, E Ficarra, E Macii
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
532012
Achieving the way for automated segmentation of nuclei in cancer tissue images through morphology-based approach: a quantitative evaluation
S Di Cataldo, E Ficarra, A Acquaviva, E Macii
Computerized Medical Imaging and Graphics 34 (6), 453-461, 2010
512010
Automated segmentation of cells with IHC membrane staining
E Ficarra, S Di Cataldo, A Acquaviva, E Macii
IEEE Transactions on Biomedical Engineering 58 (5), 1421-1429, 2011
472011
Realistic multi-scale modeling of household electricity behaviors
L Bottaccioli, S Di Cataldo, A Acquaviva, E Patti
IEEE Access 7, 2467-2489, 2018
452018
A non-linear autoregressive model for indoor air-temperature predictions in smart buildings
A Aliberti, L Bottaccioli, E Macii, S Di Cataldo, A Acquaviva, E Patti
Electronics 8 (9), 979, 2019
402019
In-situ defect detection of metal additive manufacturing: an integrated framework
D Cannizzaro, AG Varrella, S Paradiso, R Sampieri, Y Chen, A Macii, ...
IEEE Transactions on Emerging Topics in Computing 10 (1), 74-86, 2021
392021
Optimizing quality inspection and control in powder bed metal additive manufacturing: Challenges and research directions
S Di Cataldo, S Vinco, G Urgese, F Calignano, E Ficarra, A Macii, E Macii
Proceedings of the IEEE 109 (4), 326-346, 2021
382021
Dealing with Lack of Training Data for Convolutional Neural Networks: The Case of Digital Pathology
F Ponzio, G Urgese, E Ficarra, S Di Cataldo
Electronics 8 (3), 2019
372019
A Deep Learning Approach to the Screening of Oncogenic Gene Fusions in Humans
M Lovino, G Urgese, E Macii, S Di Cataldo, E Ficarra
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES 20 (7), 13, 2019
212019
ANAlyte: A modular image analysis tool for ANA testing with indirect immunofluorescence
S Di Cataldo, S Tonti, A Bottino, E Ficarra
Computer methods and programs in biomedicine 128, 86-99, 2016
212016
DEEPrior: a deep learning tool for the prioritization of gene fusions
M Lovino, MS Ciaburri, G Urgese, S Di Cataldo, E Ficarra
Bioinformatics 36 (10), 3248-3250, 2020
202020
Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations
A Mascolini, D Cardamone, F Ponzio, S Di Cataldo, E Ficarra
BMC bioinformatics 23 (1), 295, 2022
192022
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