Image Processing Framework for Virtual Colonoscopy. - Vitoantonio Bevilacqua; Marco Cortellino; Michele Piccinni; Antonio Scarpa; Diego Taurino; Giuseppe Mastronardi; Marco Moschetta; Giuseppe Angelelli (ICIC (1), 2009)

3D Virtual Colonoscopy for Polyps Detection by Supervised Artificial Neural Networks. - Vitoantonio Bevilacqua; Domenico De Fano; Silvia Giannini 001; Giuseppe Mastronardi; Valerio Paradiso; Marcello Pennini; Michele Piccinni; Giuseppe Angelelli; Marco Moschetta (ICIC (3), 2011)

An Optimized Feed-forward Artificial Neural Network Topology to Support Radiologists in Breast Lesions Classification. - Vitoantonio Bevilacqua; Antonio Brunetti; Maurizio Triggiani; Domenico Magaletti; Michele Telegrafo; Marco Moschetta (GECCO (Companion), 2016)

Computer Assisted Detection of Breast Lesions in Magnetic Resonance Images. - Vitoantonio Bevilacqua; Maurizio Triggiani; Maurizio Dimatteo; Giuseppe Bellantuono; Antonio Brunetti; Leonarda Carnimeo; Francescomaria Marino; Michele Telegrafo; Marco Moschetta (ICIC (1), 2016)

A Supervised Breast Lesion Images Classification from Tomosynthesis Technique. - 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; et al. (ICIC (2), 2017)

A Deep Learning Approach for the Automatic Detection and Segmentation in Autosomal Dominant Polycystic Kidney Disease Based on Magnetic Resonance Images. - Vitoantonio Bevilacqua; Antonio Brunetti; Giacomo Donato Cascarano; Flavio Palmieri; Andrea Guerriero; Marco Moschetta (ICIC (2), 2018)

A Combined Approach of Multiscale Texture Analysis and Interest Point/Corner Detectors for Microcalcifications Diagnosis. - 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; et al. (IWBBIO (1), 2018)

Detection and Segmentation of Kidneys from Magnetic Resonance Images in Patients with Autosomal Dominant Polycystic Kidney Disease. - Antonio Brunetti; Giacomo Donato Cascarano; Irio De Feudis; Marco Moschetta; Loreto Gesualdo; Vitoantonio Bevilacqua (ICIC (2), 2019)

A performance comparison between shallow and deeper neural networks supervised classification of tomosynthesis breast lesions images. - Vitoantonio Bevilacqua; Antonio Brunetti; Andrea Guerriero; Gianpaolo Francesco Trotta; Michele Telegrafo; Marco Moschetta (Cogn. Syst. Res., 2019)

A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images. - Vitoantonio Bevilacqua; Antonio Brunetti; Giacomo Donato Cascarano; Andrea Guerriero; Francesco Pesce; Marco Moschetta; Loreto Gesualdo (BMC Medical Informatics Decis. Mak., 2019)

A machine learning approach on multiscale texture analysis for breast microcalcification diagnosis. - 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; et al. (BMC Bioinform., 2020)