Antonio Brunetti
Orcid: 0000-0002-1934-0983
According to our database1,
Antonio Brunetti
authored at least 66 papers
between 2009 and 2024.
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Bibliography
2024
Understanding the Role of Self-Attention in a Transformer Model for the Discrimination of SCD From MCI Using Resting-State EEG.
IEEE J. Biomed. Health Informatics, June, 2024
Exploring Aesthetic Perception in Impaired Aging: A Multimodal Brain - Computer Interface Study.
Sensors, April, 2024
A time-dependent explainable radiomic analysis from the multi-omic cohort of CPTAC-Pancreatic Ductal Adenocarcinoma.
Comput. Methods Programs Biomed., 2024
2023
The role of unpaired image-to-image translation for stain color normalization in colorectal cancer histology classification.
Comput. Methods Programs Biomed., June, 2023
A Serious Game for the Assessment of Visuomotor Adaptation Capabilities during Locomotion Tasks Employing an Embodied Avatar in Virtual Reality.
Sensors, 2023
Deep Learning for Automatic Vision-Based Recognition of Industrial Surface Defects: A Survey.
IEEE Access, 2023
2022
Liver, kidney and spleen segmentation from CT scans and MRI with deep learning: A survey.
Neurocomputing, 2022
Deep Learning Based Image Processing for Robot Assisted Surgery: A Systematic Literature Survey.
IEEE Access, 2022
Enhancement of aortic dissections in CT angiography: are common filters robust enough?
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022
2021
Modular MA-XRF Scanner Development in the Multi-Analytical Characterisation of a 17th Century Azulejo from Portugal.
Sensors, 2021
Predictive Machine Learning Models and Survival Analysis for COVID-19 Prognosis Based on Hematochemical Parameters.
Sensors, 2021
A neural network for glomerulus classification based on histological images of kidney biopsy.
BMC Medical Informatics Decis. Mak., 2021
Segmentation and Identification of Vertebrae in CT Scans Using CNN, k-Means Clustering and k-NN.
Informatics, 2021
Neurocomputing, 2021
Multi-class Tissue Classification in Colorectal Cancer with Handcrafted and Deep Features.
Proceedings of the Intelligent Computing Theories and Application, 2021
2020
Reconstruction, Optimization and Quality Check of Microsoft HoloLens-Acquired 3D Point Clouds.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020
A Novel Approach Based on Region Growing Algorithm for Liver and Spleen Segmentation from CT Scans.
Proceedings of the Intelligent Computing Theories and Application, 2020
Proceedings of the Intelligent Computing Theories and Application, 2020
On the Analysis of the Relationship Between Alkaline Water Usage and Muscle Fatigue Recovery.
Proceedings of the Advances in Physical, Social & Occupational Ergonomics, 2020
2019
Proceedings of the Quantifying and Processing Biomedical and Behavioral Signals, 2019
A model-free technique based on computer vision and sEMG for classification in Parkinson's disease by using computer-assisted handwriting analysis.
Pattern Recognit. Lett., 2019
Biometric handwriting analysis to support Parkinson's Disease assessment and grading.
BMC Medical Informatics Decis. Mak., 2019
A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson's Disease.
BMC Medical Informatics Decis. Mak., 2019
A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images.
BMC Medical Informatics Decis. Mak., 2019
Computer-assisted frameworks for classification of liver, breast and blood neoplasias via neural networks: A survey based on medical images.
Neurocomputing, 2019
A performance comparison between shallow and deeper neural networks supervised classification of tomosynthesis breast lesions images.
Cogn. Syst. Res., 2019
A neural network-based software to recognise blepharospasm symptoms and to measure eye closure time.
Comput. Biol. Medicine, 2019
FT-IR Saliva Profiling in Patients with Obesity and Obesity-Related Insulin Resistance.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2019
Feasibility of a Non-immersive Virtual Reality Training on Functional Living Skills Applied to Person with Major Neurocognitive Disorder.
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019
An Innovative Neural Network Framework for Glomerulus Classification Based on Morphological and Texture Features Evaluated in Histological Images of Kidney Biopsy.
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019
Detection and Segmentation of Kidneys from Magnetic Resonance Images in Patients with Autosomal Dominant Polycystic Kidney Disease.
Proceedings of the Intelligent Computing Theories and Application, 2019
2018
Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018
Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018
Computer vision and deep learning techniques for pedestrian detection and tracking: A survey.
Neurocomputing, 2018
Proceedings of the Sensors, 2018
A comparison between ANN and SVM classifiers for Parkinson's disease by using a model-free computer-assisted handwriting analysis based on biometric signals.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
A Supervised Approach to Classify the Status of Bone Mineral Density in Post-Menopausal Women through Static and Dynamic Baropodometry.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
A Model-Free Computer-Assisted Handwriting Analysis Exploiting Optimal Topology ANNs on Biometric Signals in Parkinson's Disease Research.
Proceedings of the Intelligent Computing Theories and Application, 2018
A Deep Learning Approach for the Automatic Detection and Segmentation in Autosomal Dominant Polycystic Kidney Disease Based on Magnetic Resonance Images.
Proceedings of the Intelligent Computing Theories and Application, 2018
2017
An innovative neural network framework to classify blood vessels and tubules based on Haralick features evaluated in histological images of kidney biopsy.
Neurocomputing, 2017
Int. J. Comput. Vis. Image Process., 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
A Nonlinear Autoencoder for Kinematic Synergy Extraction from Movement Data Acquired with HTC Vive Trackers.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017
Proceedings of the 2017 IEEE SENSORS, Glasgow, United Kingdom, October 29, 2017
Computer Vision and EMG-Based Handwriting Analysis for Classification in Parkinson's Disease.
Proceedings of the Intelligent Computing Theories and Application, 2017
A Novel Approach in Combination of 3D Gait Analysis Data for Aiding Clinical Decision-Making in Patients with Parkinson's Disease.
Proceedings of the Intelligent Computing Theories and Application, 2017
Proceedings of the Intelligent Computing Methodologies - 13th International Conference, 2017
Proceedings of the Intelligent Computing Theories and Application, 2017
A novel approach for Hepatocellular Carcinoma detection and classification based on triphasic CT Protocol.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Enabling Touch-Based Communication in Wearable Devices for People with Sensory and Multisensory Impairments.
Proceedings of the Advances in Human Factors in Wearable Technologies and Game Design, 2017
A Wearable Device Supporting Multiple Touch- and Gesture-Based Languages for the Deaf-Blind.
Proceedings of the Advances in Human Factors in Wearable Technologies and Game Design, 2017
Proceedings of the Advances in Human Factors and Ergonomics in Healthcare and Medical Devices, 2017
A Comprehensive Approach for Physical Rehabilitation Assessment in Multiple Sclerosis Patients Based on Gait Analysis.
Proceedings of the Advances in Human Factors and Ergonomics in Healthcare and Medical Devices, 2017
2016
Photogrammetric Meshes and 3D Points Cloud Reconstruction: A Genetic Algorithm Optimization Procedure.
Proceedings of the Advances in Artificial Life, Evolutionary Computation, and Systems Chemistry, 2016
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2016
Synthesis of a Neural Network Classifier for Hepatocellular Carcinoma Grading Based on Triphasic CT Images.
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2016
Proceedings of the 2016 IEEE International Symposium on Medical Measurements and Applications, 2016
Proceedings of the Intelligent Computing Theories and Application, 2016
An Optimized Feed-forward Artificial Neural Network Topology to Support Radiologists in Breast Lesions Classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
2015
Design and Development of a Forearm Rehabilitation System Based on an Augmented Reality Serious Game.
Proceedings of the Advances in Artificial Life, Evolutionary Computation and Systems Chemistry, 2015
A P300 Clustering of Mild Cognitive Impairment Patients Stimulated in an Immersive Virtual Reality Scenario.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015
2014
Monte Carlo simulation of X-ray imaging and spectroscopy experiments using quadric geometry and variance reduction techniques.
Comput. Phys. Commun., 2014
2013
A fast fine-grained genetic algorithm for spectrum fitting: An application to X-ray spectra.
Comput. Phys. Commun., 2013
2009
Remote Laboratory System: A Model Proposal and Implementation on X-Ray Laboratory Machines.
Int. J. Online Eng., 2009