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Marco Moschetta
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2020 – today
- 2020
- [j3]Annarita Fanizzi
, Teresa M. A. Basile, Liliana Losurdo
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
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
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
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
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
A Combined Approach of Multiscale Texture Analysis and Interest Point/Corner Detectors for Microcalcifications Diagnosis. IWBBIO (1) 2018: 302-313 - 2017
- [c5]Vitoantonio Bevilacqua
A Supervised Breast Lesion Images Classification from Tomosynthesis Technique. ICIC (2) 2017: 483-489 - 2016
- [c4]Vitoantonio Bevilacqua
An Optimized Feed-forward Artificial Neural Network Topology to Support Radiologists in Breast Lesions Classification. GECCO (Companion) 2016: 1385-1392 - [c3]Vitoantonio Bevilacqua
Computer Assisted Detection of Breast Lesions in Magnetic Resonance Images. ICIC (1) 2016: 306-316 - 2011
- [c2]Vitoantonio Bevilacqua
3D Virtual Colonoscopy for Polyps Detection by Supervised Artificial Neural Networks. ICIC (3) 2011: 596-603
2000 – 2009
- 2009
- [c1]Vitoantonio Bevilacqua
Image Processing Framework for Virtual Colonoscopy. ICIC (1) 2009: 965-974
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