| Computer vision and deep learning techniques for pedestrian detection and tracking: A survey A Brunetti, D Buongiorno, GF Trotta, V Bevilacqua Neurocomputing 300, 17-33, 2018 | 168 | 2018 |
| An optimized feed-forward artificial neural network topology to support radiologists in breast lesions classification V Bevilacqua, A Brunetti, M Triggiani, D Magaletti, M Telegrafo, ... Proceedings of the 2016 on Genetic and Evolutionary Computation Conference …, 2016 | 37 | 2016 |
| A novel approach to evaluate blood parameters using computer vision techniques V Bevilacqua, G Dimauro, F Marino, A Brunetti, F Cassano, A Di Maio, ... 2016 IEEE International Symposium on Medical Measurements and Applications …, 2016 | 34 | 2016 |
| Classification of healthy subjects and Alzheimer's disease patients with Dementia from cortical sources of resting state EEG rhythms: A study using artificial neural networks AI Triggiani, V Bevilacqua, A Brunetti, R Lizio, G Tattoli, F Cassano, ... Frontiers in neuroscience 10, 604, 2017 | 31 | 2017 |
| Computer-assisted frameworks for classification of liver, breast and blood neoplasias via neural networks: A survey based on medical images A Brunetti, L Carnimeo, GF Trotta, V Bevilacqua Neurocomputing 335, 274-298, 2019 | 27 | 2019 |
| Testing a novel method for improving wayfinding by means of a P3b Virtual Reality Visual Paradigm in normal aging M de Tommaso, K Ricci, M Delussi, A Montemurno, E Vecchio, A Brunetti, ... Springerplus 5 (1), 1-12, 2016 | 23 | 2016 |
| A novel approach for Hepatocellular Carcinoma detection and classification based on triphasic CT Protocol V Bevilacqua, A Brunetti, GF Trotta, G Dimauro, K Elez, V Alberotanza, ... 2017 IEEE Congress on Evolutionary Computation (CEC), 1856-1863, 2017 | 22 | 2017 |
| A performance comparison between shallow and deeper neural networks supervised classification of tomosynthesis breast lesions images V Bevilacqua, A Brunetti, A Guerriero, GF Trotta, M Telegrafo, ... Cognitive Systems Research 53, 3-19, 2019 | 21 | 2019 |
| An innovative neural network framework to classify blood vessels and tubules based on Haralick features evaluated in histological images of kidney biopsy V Bevilacqua, N Pietroleonardo, V Triggiani, A Brunetti, AM Di Palma, ... Neurocomputing 228, 143-153, 2017 | 21 | 2017 |
| A model-free technique based on computer vision and sEMG for classification in Parkinson’s disease by using computer-assisted handwriting analysis C Loconsole, GD Cascarano, A Brunetti, GF Trotta, G Losavio, ... Pattern Recognition Letters 121, 28-36, 2019 | 16 | 2019 |
| A wearable device supporting multiple touch-and gesture-based languages for the deaf-blind N Caporusso, L Biasi, G Cinquepalmi, GF Trotta, A Brunetti, V Bevilacqua International Conference on Applied Human Factors and Ergonomics, 32-41, 2017 | 16 | 2017 |
| A novel approach in combination of 3d gait analysis data for aiding clinical decision-making in patients with parkinson’s disease I Bortone, GF Trotta, A Brunetti, GD Cascarano, C Loconsole, N Agnello, ... International Conference on Intelligent Computing, 504-514, 2017 | 14 | 2017 |
| Computer vision and EMG-based handwriting analysis for classification in Parkinson’s disease C Loconsole, GF Trotta, A Brunetti, J Trotta, A Schiavone, SI Tatò, ... International Conference on Intelligent Computing, 493-503, 2017 | 13 | 2017 |
| Semantic segmentation framework for glomeruli detection and classification in kidney histological sections N Altini, GD Cascarano, A Brunetti, F Marino, MT Rocchetti, S Matino, ... Electronics 9 (3), 503, 2020 | 10 | 2020 |
| A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images V Bevilacqua, A Brunetti, GD Cascarano, A Guerriero, F Pesce, ... BMC medical informatics and decision making 19 (9), 1-12, 2019 | 10 | 2019 |
| A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson’s Disease D Buongiorno, I Bortone, GD Cascarano, GF Trotta, A Brunetti, ... BMC medical informatics and decision making 19 (9), 1-13, 2019 | 9 | 2019 |
| A deep learning approach for the automatic detection and segmentation in autosomal dominant polycystic kidney disease based on magnetic resonance images V Bevilacqua, A Brunetti, GD Cascarano, F Palmieri, A Guerriero, ... International Conference on Intelligent Computing, 643-649, 2018 | 9 | 2018 |
| A supervised breast lesion images classification from tomosynthesis technique V Bevilacqua, D Altini, M Bruni, M Riezzo, A Brunetti, C Loconsole, ... International Conference on Intelligent Computing, 483-489, 2017 | 8 | 2017 |
| Enabling touch-based communication in wearable devices for people with sensory and multisensory impairments N Caporusso, L Biasi, G Cinquepalmi, GF Trotta, A Brunetti, V Bevilacqua International Conference on Applied Human Factors and Ergonomics, 149-159, 2017 | 8 | 2017 |
| A survey on deep learning in electromyographic signal analysis D Buongiorno, GD Cascarano, A Brunetti, I De Feudis, V Bevilacqua International Conference on Intelligent Computing, 751-761, 2019 | 7 | 2019 |
Vitoantonio BevilacquaAssociate Professor of Electronic and Information Bioengineering, Head of Industrial Informatics LabVerified email at poliba.it
