| 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 | 610 | 2018 |
| WRES: a novel 3 DoF WRist ExoSkeleton with tendon-driven differential transmission for neuro-rehabilitation and teleoperation D Buongiorno, E Sotgiu, D Leonardis, S Marcheschi, M Solazzi, A Frisoli IEEE Robotics and Automation Letters 3 (3), 2152-2159, 2018 | 105 | 2018 |
| Remote mobile manipulation with the centauro robot: Full‐body telepresence and autonomous operator assistance T Klamt, M Schwarz, C Lenz, L Baccelliere, D Buongiorno, T Cichon, ... Journal of Field Robotics 37 (5), 889-919, 2020 | 85 | 2020 |
| 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, 1-13, 2019 | 79 | 2019 |
| A novel BCI-SSVEP based approach for control of walking in virtual environment using a convolutional neural network V Bevilacqua, G Tattoli, D Buongiorno, C Loconsole, D Leonardis, ... 2014 international joint conference on neural networks (IJCNN), 4121-4128, 2014 | 67 | 2014 |
| Deep learning for processing electromyographic signals: A taxonomy-based survey D Buongiorno, GD Cascarano, I De Feudis, A Brunetti, L Carnimeo, ... Neurocomputing 452, 549-565, 2021 | 66 | 2021 |
| 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 | 61 | 2018 |
| 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 | 49 | 2021 |
| Biometric handwriting analysis to support Parkinson’s Disease assessment and grading GD Cascarano, C Loconsole, A Brunetti, A Lattarulo, D Buongiorno, ... BMC medical informatics and decision making 19, 1-11, 2019 | 43 | 2019 |
| Deep learning for automatic vision-based recognition of industrial surface defects: a survey M Prunella, RM Scardigno, D Buongiorno, A Brunetti, N Longo, R Carli, ... IEEE Access 11, 43370-43423, 2023 | 40 | 2023 |
| An attention-based deep learning approach for the classification of subjective cognitive decline and mild cognitive impairment using resting-state EEG E Sibilano, A Brunetti, D Buongiorno, M Lassi, A Grippo, V Bessi, S Micera, ... Journal of Neural Engineering 20 (1), 016048, 2023 | 38 | 2023 |
| Shape-based breast lesion classification using digital tomosynthesis images: The role of explainable artificial intelligence SM Hussain, D Buongiorno, N Altini, F Berloco, B Prencipe, M Moschetta, ... Applied Sciences 12 (12), 6230, 2022 | 36 | 2022 |
| A deep learning instance segmentation approach for global glomerulosclerosis assessment in donor kidney biopsies N Altini, GD Cascarano, A Brunetti, I De Feudis, D Buongiorno, M Rossini, ... Electronics 9 (11), 1768, 2020 | 36 | 2020 |
| Inline defective laser weld identification by processing thermal image sequences with machine and deep learning techniques D Buongiorno, M Prunella, S Grossi, SM Hussain, A Rennola, N Longo, ... Applied Sciences 12 (13), 6455, 2022 | 31 | 2022 |
| Deep learning based image processing for robot assisted surgery: a systematic literature survey SM Hussain, A Brunetti, G Lucarelli, R Memeo, V Bevilacqua, ... IEEE Access 10, 122627-122657, 2022 | 27 | 2022 |
| A survey on deep learning in electromyographic signal analysis D Buongiorno, GD Cascarano, A Brunetti, I De Feudis, V Bevilacqua Intelligent Computing Methodologies: 15th International Conference, ICIC …, 2019 | 27 | 2019 |
| Multi-dofs exoskeleton-based bilateral teleoperation with the time-domain passivity approach D Buongiorno, D Chiaradia, S Marcheschi, M Solazzi, A Frisoli Robotica 37 (9), 1641-1662, 2019 | 24 | 2019 |
| 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 | 23 | 2016 |
| Advanced classification of Alzheimer's disease and healthy subjects based on EEG markers V Bevilacqua, AA Salatino, C Di Leo, G Tattoli, D Buongiorno, D Signorile, ... 2015 International Joint Conference on Neural Networks (IJCNN), 1-5, 2015 | 22 | 2015 |
| A neuromusculoskeletal model of the human upper limb for a myoelectric exoskeleton control using a reduced number of muscles D Buongiorno, M Barsotti, E Sotgiu, C Loconsole, M Solazzi, V Bevilacqua, ... 2015 IEEE World Haptics Conference (WHC), 273-279, 2015 | 22 | 2015 |
Vitoantonio BevilacquaFull Professor in Electronic and Information Bioengineering, Head of Industrial Informatics LabE-mailová adresa ověřena na: poliba.it
