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16 results on '"Bellotti, Roberto"'

1. PSInSAR Monitoring of Coastal Cliffs at Torre a Mare, Apulia, Italy

Author

Amoroso, Nicola, primary, Cilli, Roberto, additional, Iasillo, Daniela, additional, Massimi, Vincenzo, additional, Monaco, Alfonso, additional, Nitti, Davide Oscar, additional, Nutricato, Raffaele, additional, Tangaro, Sabina, additional, Refice, Alberto, additional, Zilli, Antonio, additional, and Bellotti, Roberto, additional

Published
2022
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3. A hybrid approach for FFP velocity gridding in MPI reconstruction

Author

Tateo, Andrea, primary, Andrisani, Andrea, additional, Iurino, Alessandro, additional, Settanni, Giuseppina, additional, Stifanelli, Patrizia F., additional, Larizza, Pietro, additional, Mazzia, Francesca, additional, Mininni, Rosa Maria, additional, Tangaro, Sabina, additional, and Bellotti, Roberto, additional

Published
2015
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7. Algorithms for automatic detection of lung nodules in CT scans

Author

Fantacci, Maria Evelina, primary, Camarlinghi, Niccolo, additional, Bellotti, Roberto, additional, Gargano, Gianfranco, additional, Megna, Rosario, additional, Cerello, Piergiorgio, additional, De Mitri, Ivan, additional, De Nunzio, Giorgio, additional, Gori, Ilaria, additional, Lopez Torres, Ernesto, additional, Peroni, Cristiana, additional, and Retico, Alessandra, additional

Published
2011
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11. The Channeler Ant Model: Object segmentation with virtual ant colonies

Author

Cerello, Piergiorgio, primary, Cheran, Sorin Christian, additional, Bagagli, Francesco, additional, Bagnasco, Stefano, additional, Bellotti, Roberto, additional, Bolanos, Lourdes, additional, Catanzariti, Ezio, additional, De Nunzio, Giorgio, additional, Fiorina, Elisa, additional, Gargano, Gianfranco, additional, Gemme, Gianluca, additional, Lopez Torres, Ernesto, additional, Masala, Gian Luca, additional, Peroni, Cristiana, additional, and Santoro, Matteo, additional

Published
2008
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13. Automatic Localization of the Hippocampal Region in MR Images to Asses Early Diagnosis of Alzheimer’s Disease in MCI Patients

Author

Calvini, Piero, primary, Chincarini, Andrea, additional, Donadio, Stefania, additional, Gemme, Gianluca, additional, Squarcia, Sandro, additional, Nobili, Flavio, additional, Rodriguez, Guido, additional, Bellotti, Roberto, additional, Catanzariti, Ezio, additional, Cerello, Piergiorgio, additional, De Mitri, Ivan, additional, and Fantacci, Maria Evelina, additional

Published
2008
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14. Lung Nodule Detection in Screening Computed Tomography

Author

Gori, Ilaria, primary, Bellotti, Roberto, additional, Cerello, Piergiorgio, additional, Cheran, Sorin Cristian, additional, De Nunzio, Giorgio, additional, Fantacci, Maria Evelina, additional, Kasae, Parnian, additional, Masala, Giovanni Luca, additional, Martinez, Alessandro Preite, additional, and Retico, Alessandra, additional

Published
2006
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15. A Chaotic Map Algorithm for Knowledge Discovery in Time Series: A Case Study on Biomedical Signals.

Author

Bellotti, Roberto, Castellano, Marcello, and De Carlo, Francesco

Subjects
*ALGORITHMS, *NUCLEAR physics, *COMPUTER networks, *HUNTINGTON disease, *CENTRAL nervous system, *GENETIC disorders
Abstract

A chaotic map algorithm is proposed to study similarity-based knowledge of temporal patterns. Several information sources can be regarded as time series, both in scientific and technological fields such as nuclear physics, computer network, biomedical signals, and many others. The application of an automatic knowledge discovery mechanism has a strong impact on system science and engineering. The advantage of the proposed algorithm is due to its capability to extract meaningful features from complex data sets, as temporal patterns, without teacher. A case study has been carried on biomedical Signals, such as electroencephalographic records, to recognize patterns affected by the Huntington's disease, one of the most dangerous pathology of the central nervous system. The chaotic map algorithm succeeds in distinguishing between pathological and normal patterns, with high values of both sensitivity and specificity. [ABSTRACT FROM AUTHOR]

Published
2004
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16. The Channeler Ant Model: Object segmentation with virtual ant colonies

Author

Lourdes Bolanos, Piergiorgio Cerello, G.L. Masala, Giorgio De Nunzio, Ezio Catanzariti, G. Gargano, S. C. Cheran, Matteo Santoro, Francesco Bagagli, Ernesto Lopez Torres, Elisa Fiorina, Stefano Bagnasco, Roberto Bellotti, Gianluca Gemme, Cristiana Peroni, Cerello, Piergiorgio, Cheran, Sorin Christian, Bagagli, Francesco, Bagnasco, Stefano, Bellotti, Roberto, Bolanos, Lourde, Catanzariti, Ezio, DE NUNZIO, Giorgio, Fiorina, Elisa, Gargano, Gianfranco, Gemme, Gianluca, Lopez Torres, Ernesto, Masala, Gian Luca, Peroni, Cristiana, and Santoro, Matteo

Subjects
business.industry, Computer science, Artificial life, Computer-aided manufacturing, Computer vision, Segmentation, Image segmentation, Artificial intelligence, Noise (video), Ant colony, Object (computer science), business, Noise shaping
Abstract

3-D object segmentation is an important and challenging topic in computer vision that could be tackled with artificial life models. A Channeler Ant Model (CAM), based on the natural ant capabilities of dealing with 3-D environments through self-organization and emergent behaviours, is proposed. Ant colonies, defined in terms of moving, pheromone laying, reproduction, death and deviating behaviours rules, is able to segment artificially generated objects of different shape, intensity, background. The model depends on few parameters and provides an elegant solution for the segmentation of 3-D structures in noisy environments with unknown range of image intensities: even when there is a partial overlap between the intensity and noise range, it provides a complete segmentation with negligible contamination (i.e., fraction of segmented voxels that do not belong to the object).

Published
2008
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