Articles with public access mandates - Vitoantonio BevilacquaLearn more
Not available anywhere: 13
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
Mandates: Government of Italy
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, ...
Intelligent Computing Theories and Application: 14th International …, 2018
Mandates: European Commission
A linear optimization procedure for an EMG-driven neuromusculoskeletal model parameters adjusting: Validation through a myoelectric exoskeleton control
D Buongiorno, F Barone, M Solazzi, V Bevilacqua, A Frisoli
Haptics: Perception, Devices, Control, and Applications: 10th International …, 2016
Mandates: European Commission
Detection and segmentation of kidneys from magnetic resonance images in patients with autosomal dominant polycystic kidney disease
A Brunetti, GD Cascarano, I De Feudis, M Moschetta, L Gesualdo, ...
Intelligent Computing Theories and Application: 15th International …, 2019
Mandates: European Commission
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, ...
Intelligent Computing Theories and Application: 13th International …, 2017
Mandates: Government of Italy
A supervised CAD to support telemedicine in hematology
V Bevilacqua, D Buongiorno, P Carlucci, F Giglio, G Tattoli, A Guarini, ...
2015 International Joint Conference on Neural Networks (IJCNN), 1-7, 2015
Mandates: Government of Italy
A supervised approach to classify the status of bone mineral density in post-menopausal women through static and dynamic baropodometry
I Bortone, GF Trotta, GD Cascarano, P Regina, A Brunetti, I De Feudis, ...
2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018
Mandates: Government of Italy
An undercomplete autoencoder to extract muscle synergies for motor intention detection
D Buongiorno, C Camardella, GD Cascarano, LP Murciego, M Barsotti, ...
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
Mandates: Government of Italy
Locomotion mode classification based on support vector machines and hip joint angles: a feasibility study for applications in wearable robotics
V Papapicco, A Parri, E Martini, V Bevilacqua, S Crea, N Vitiello
Human Friendly Robotics: 10th International Workshop, 197-205, 2019
Mandates: European Commission
Feasibility of a non-immersive virtual reality training on functional living skills applied to person with major neurocognitive disorder
S Panerai, V Catania, F Rundo, V Bevilacqua, A Brunetti, C De Meo, ...
Intelligent Computing Methodologies: 15th International Conference, ICIC …, 2019
Mandates: Government of Italy
Neural network classification of blood vessels and tubules based on Haralick features evaluated in histological images of kidney Biopsy
V Bevilacqua, N Pietroleonardo, V Triggiani, L Gesualdo, AM Di Palma, ...
Advanced Intelligent Computing Theories and Applications: 11th International …, 2015
Mandates: Government of Italy
special issue on advanced intelligent computing: theory and applications
L Zhu, S Deng, DS Huang
Neurocomputing 228, 1-2, 2017
Mandates: National Natural Science Foundation of China
Deep learning and generative adversarial networks in oral and maxillofacial surgery
A Pepe, GF Trotta, C Gsaxner, A Brunetti, GD Cascarano, V Bevilacqua, ...
Computer-Aided Oral and Maxillofacial Surgery, 55-82, 2021
Mandates: Austrian Science Fund
Available somewhere: 19
Real time RULA assessment using Kinect v2 sensor
VM Manghisi, AE Uva, M Fiorentino, V Bevilacqua, GF Trotta, G Monno
Applied ergonomics 65, 481-491, 2017
Mandates: US National Institutes of Health
Classification of single normal and Alzheimer's disease individuals from cortical sources of resting state EEG rhythms
C Babiloni, AI Triggiani, R Lizio, S Cordone, G Tattoli, V Bevilacqua, ...
Frontiers in neuroscience 10, 47, 2016
Mandates: Government of Italy
A marker-less registration approach for mixed reality–aided maxillofacial surgery: a pilot evaluation
A Pepe, GF Trotta, P Mohr-Ziak, C Gsaxner, J Wallner, V Bevilacqua, ...
Journal of digital imaging 32, 1008-1018, 2019
Mandates: Austrian Science Fund
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
Mandates: Government of Italy
A linear approach to optimize an EMG-driven neuromusculoskeletal model for movement intention detection in myo-control: A case study on shoulder and elbow joints
D Buongiorno, M Barsotti, F Barone, V Bevilacqua, A Frisoli
Frontiers in neurorobotics 12, 74, 2018
Mandates: Government of Italy
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, 1-12, 2019
Mandates: European Commission
Segmentation and Identification of Vertebrae in CT Scans Using CNN, k-Means Clustering and k-NN
N Altini, G De Giosa, N Fragasso, C Coscia, E Sibilano, B Prencipe, ...
Informatics 8 (2), 40, 2021
Mandates: Government of Italy
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