Antonio Brunetti
Cited by
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Advances in Human Factors in Wearable Technologies and Game Design …, 2018
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