| 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 | 586 | 2018 |
| 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 | 76 | 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, 1-13, 2019 | 75 | 2019 |
| 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 | 64 | 2020 |
| 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 | 63 | 2017 |
| 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 | 63 | 2016 |
| 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 | 59 | 2021 |
| 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 | 58 | 2016 |
| 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 | 57 | 2019 |
| 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 | 54 | 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 | 47 | 2017 |
| 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 | 44 | 2021 |
| 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 | 44 | 2019 |
| Liver, kidney and spleen segmentation from CT scans and MRI with deep learning: A survey N Altini, B Prencipe, GD Cascarano, A Brunetti, G Brunetti, V Triggiani, ... Neurocomputing 490, 30-53, 2022 | 43 | 2022 |
| 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 | 41 | 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, 1-12, 2016 | 41 | 2016 |
| Mutual interaction between motor cortex activation and pain in fibromyalgia: EEG-fNIRS study E Gentile, A Brunetti, K Ricci, M Delussi, V Bevilacqua, M de Tommaso PLoS One 15 (1), e0228158, 2020 | 39 | 2020 |
| 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 | 36 | 2017 |
| 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 | 34 | 2023 |
| 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 | 34 | 2020 |
Vitoantonio BevilacquaFull Professor in Electronic and Information Bioengineering, Head of Industrial Informatics LabEmail verificata su poliba.it
