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2020 – today
- 2020
[j3]Annarita Fanizzi
, Teresa M. A. Basile, Liliana Losurdo, Roberto Bellotti, Ubaldo Bottigli, Rosalba Dentamaro, Vittorio Didonna, Alfonso Fausto, Raffaella Massafra, Marco Moschetta, Ondina Popescu, Pasquale Tamborra, Sabina Tangaro, Daniele La Forgia:
A machine learning approach on multiscale texture analysis for breast microcalcification diagnosis. BMC Bioinform. 21-S(2): 91 (2020)
2010 – 2019
- 2019
- [j2]Vitoantonio Bevilacqua, Antonio Brunetti, Andrea Guerriero, Gianpaolo Francesco Trotta, Michele Telegrafo, Marco Moschetta:
A performance comparison between shallow and deeper neural networks supervised classification of tomosynthesis breast lesions images. Cogn. Syst. Res. 53: 3-19 (2019) - [j1]Vitoantonio Bevilacqua, Antonio Brunetti, Giacomo Donato Cascarano, Andrea Guerriero, Francesco Pesce, Marco Moschetta, Loreto Gesualdo:
A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images. BMC Medical Informatics Decis. Mak. 19-S(9): 244 (2019) - [c8]Antonio Brunetti, Giacomo Donato Cascarano, Irio De Feudis, Marco Moschetta, Loreto Gesualdo, Vitoantonio Bevilacqua:
Detection and Segmentation of Kidneys from Magnetic Resonance Images in Patients with Autosomal Dominant Polycystic Kidney Disease. ICIC (2) 2019: 639-650 - 2018
- [c7]Vitoantonio Bevilacqua, Antonio Brunetti, Giacomo Donato Cascarano, Flavio Palmieri, Andrea Guerriero, Marco Moschetta:
A Deep Learning Approach for the Automatic Detection and Segmentation in Autosomal Dominant Polycystic Kidney Disease Based on Magnetic Resonance Images. ICIC (2) 2018: 643-649 - [c6]Liliana Losurdo, Annarita Fanizzi, Teresa Maria Altomare Basile, Roberto Bellotti, Ubaldo Bottigli, Rosalba Dentamaro, Vittorio Didonna, Alfonso Fausto, Raffaella Massafra, Alfonso Monaco, Marco Moschetta, Ondina Popescu, Pasquale Tamborra, Sabina Tangaro, Daniele La Forgia:
A Combined Approach of Multiscale Texture Analysis and Interest Point/Corner Detectors for Microcalcifications Diagnosis. IWBBIO (1) 2018: 302-313 - 2017
- [c5]Vitoantonio Bevilacqua, Daniele Altini, Martino Bruni, Marco Riezzo, Antonio Brunetti, Claudio Loconsole, Andrea Guerriero, Gianpaolo Francesco Trotta, Rocco Fasano, Marica Di Pirchio, Cristina Tartaglia, Elena Ventrella, Michele Telegrafo, Marco Moschetta:
A Supervised Breast Lesion Images Classification from Tomosynthesis Technique. ICIC (2) 2017: 483-489 - 2016
- [c4]Vitoantonio Bevilacqua, Antonio Brunetti, Maurizio Triggiani, Domenico Magaletti, Michele Telegrafo, Marco Moschetta:
An Optimized Feed-forward Artificial Neural Network Topology to Support Radiologists in Breast Lesions Classification. GECCO (Companion) 2016: 1385-1392 - [c3]Vitoantonio Bevilacqua, Maurizio Triggiani, Maurizio Dimatteo, Giuseppe Bellantuono, Antonio Brunetti, Leonarda Carnimeo, Francescomaria Marino, Michele Telegrafo, Marco Moschetta:
Computer Assisted Detection of Breast Lesions in Magnetic Resonance Images. ICIC (1) 2016: 306-316 - 2011
- [c2]Vitoantonio Bevilacqua, Domenico De Fano, Silvia Giannini, Giuseppe Mastronardi, Valerio Paradiso, Marcello Pennini, Michele Piccinni, Giuseppe Angelelli, Marco Moschetta:
3D Virtual Colonoscopy for Polyps Detection by Supervised Artificial Neural Networks. ICIC (3) 2011: 596-603
2000 – 2009
- 2009
- [c1]Vitoantonio Bevilacqua, Marco Cortellino, Michele Piccinni, Antonio Scarpa, Diego Taurino, Giuseppe Mastronardi, Marco Moschetta, Giuseppe Angelelli:
Image Processing Framework for Virtual Colonoscopy. ICIC (1) 2009: 965-974
Coauthor Index
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