D. Buongiorno

发表

An undercomplete autoencoder to extract muscle synergies for motor intention detection

Antonio Frisoli, Vitoantonio Bevilacqua, Michele Barsotti, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

A Multi-modal Tool Suite for Parkinson's Disease Evaluation and Grading

Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, Antonio Brunetti, 2020, Neural Approaches to Dynamics of Signal Exchanges.

Gait Analysis and Parkinson’s Disease: Recent Trends on Main Applications in Healthcare

Gianpaolo Francesco Trotta, Giacomo Donato Cascarano, D. Buongiorno, 2018, Converging Clinical and Engineering Research on Neurorehabilitation III.

A Genetic Optimization Technique for the Strategic Use of Renewable Energy Supply

D. Chiaradia, D. Buongiorno, Vitoantonio Bevilacqua, 2012 .

Evaluation of Vision-Based Hand Tool Tracking Methods for Quality Assessment and Training in Human-Centered Industry 4.0

D. Buongiorno, Vitoantonio Bevilacqua, A. Brunetti, 2022, Applied Sciences.

Assessment and Rating of Movement Impairment in Parkinson's Disease Using a Low-Cost Vision-Based System

Ilaria Bortone, Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, 2018, ICIC.

On the Analysis of the Relationship Between Alkaline Water Usage and Muscle Fatigue Recovery

Sabina Ilaria Tatò, Giacomo Donato Cascarano, Irio De Feudis, 2020, AHFE.

Advanced classification of Alzheimer's disease and healthy subjects based on EEG markers

Vitoantonio Bevilacqua, Loreto Gesualdo, Claudio Del Percio, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

A Machine Learning and Radiomics Approach in Lung Cancer for Predicting Histological Subtype

D. Buongiorno, Vitoantonio Bevilacqua, A. Brunetti, 2022, Applied Sciences.

Enhancement of aortic dissections in CT angiography: are common filters robust enough?

J. Egger, D. Buongiorno, Vitoantonio Bevilacqua, 2022, Medical Imaging.

Geometric modeling of aortic dissections through convolution surfaces

J. Egger, D. Buongiorno, Vitoantonio Bevilacqua, 2022, Medical Imaging.

A Fusion Biopsy Framework for Prostate Cancer Based on Deformable Superellipses and nnU-Net

Sardar Mehboob Hussain, D. Buongiorno, Vitoantonio Bevilacqua, 2022, Bioengineering.

Segmentation and Identification of Vertebrae in CT Scans Using CNN, k-Means Clustering and k-NN

Vitoantonio Bevilacqua, Sabina Ilaria Tatò, Domenico Buongiorno, 2021, Informatics.

A Supervised Approach to Classify the Status of Bone Mineral Density in Post-Menopausal Women through Static and Dynamic Baropodometry

Ilaria Bortone, Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Deep Learning Based Image Processing for Robot Assisted Surgery: A Systematic Literature Survey

Sardar Mehboob Hussain, D. Buongiorno, Vitoantonio Bevilacqua, 2022, IEEE Access.

Biometric handwriting analysis to support Parkinson’s Disease assessment and grading

Vitoantonio Bevilacqua, Eugenio Di Sciascio, Antonio Brunetti, 2019, BMC Medical Informatics and Decision Making.

An Innovative Neural Network Framework for Glomerulus Classification Based on Morphological and Texture Features Evaluated in Histological Images of Kidney Biopsy

Vitoantonio Bevilacqua, Loreto Gesualdo, Antonio Brunetti, 2019, ICIC.

Computer vision and deep learning techniques for pedestrian detection and tracking: A survey

Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, Antonio Brunetti, 2018, Neurocomputing.

A novel BCI-SSVEP based approach for control of walking in Virtual Environment using a Convolutional Neural Network

Antonio Frisoli, Massimo Bergamasco, Vitoantonio Bevilacqua, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Deep Learning for Automatic Vision-Based Recognition of Industrial Surface Defects: A Survey

M. Dotoli, D. Buongiorno, Vitoantonio Bevilacqua, 2023, IEEE Access.

Inline Defective Laser Weld Identification by Processing Thermal Image Sequences with Machine and Deep Learning Techniques

Sardar Mehboob Hussain, D. Buongiorno, Vitoantonio Bevilacqua, 2022, Applied Sciences.

An attention-based deep learning approach for the classification of subjective cognitive decline and mild cognitive impairment using resting-state EEG

S. Micera, A. Mazzoni, A. Grippo, 2023, Journal of neural engineering.

Design and Development of a Robotic Platform Based on Virtual Reality Scenarios and Wearable Sensors for Upper Limb Rehabilitation and Visuomotor Coordination

Vitoantonio Bevilacqua, Francesco Draicchio, Daniele Giansanti, 2019, ICIC.

A Nonlinear Autoencoder for Kinematic Synergy Extraction from Movement Data Acquired with HTC Vive Trackers

Vitoantonio Bevilacqua, Giacomo Donato Cascarano, Irio De Feudis, 2017, IIH-MSP.

Multi-DoFs Exoskeleton-Based Bilateral Teleoperation with the Time-Domain Passivity Approach

Antonio Frisoli, Simone Marcheschi, Domenico Chiaradia, 2019, Robotica.

WRES: A Novel 3 DoF WRist ExoSkeleton With Tendon-Driven Differential Transmission for Neuro-Rehabilitation and Teleoperation

Antonio Frisoli, Simone Marcheschi, Massimiliano Solazzi, 2018, IEEE Robotics and Automation Letters.

Combining an exoskeleton with 3 D simulation inthe-loop

J. Roßmann, A. Frisoli, C. Loconsole, 2016 .

Deep learning for processing electromyographic signals: A taxonomy-based survey

Vitoantonio Bevilacqua, Leonarda Carnimeo, Antonio Brunetti, 2020, Neurocomputing.

A neural network for glomerulus classification based on histological images of kidney biopsy

Giacomo Donato Cascarano, Francesco Saverio Debitonto, D. Buongiorno, 2021, BMC Medical Informatics and Decision Making.

A Deep Learning Instance Segmentation Approach for Global Glomerulosclerosis Assessment in Donor Kidney Biopsies

Vitoantonio Bevilacqua, Loreto Gesualdo, Giacomo Donato Cascarano, 2020, Electronics.

A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson’s Disease

Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, Antonio Brunetti, 2019, BMC Medical Informatics and Decision Making.

A Survey on Deep Learning in Electromyographic Signal Analysis

Vitoantonio Bevilacqua, Antonio Brunetti, Giacomo Donato Cascarano, 2019, ICIC.

A neuromusculoskeletal model of the human upper limb for a myoelectric exoskeleton control using a reduced number of muscles

Antonio Frisoli, Vitoantonio Bevilacqua, Massimiliano Solazzi, 2015, 2015 IEEE World Haptics Conference (WHC).

A Linear Optimization Procedure for an EMG-driven NeuroMusculoSkeletal Model Parameters Adjusting: Validation Through a Myoelectric Exoskeleton Control

Antonio Frisoli, Vitoantonio Bevilacqua, Massimiliano Solazzi, 2016, EuroHaptics.

Intelligent Neonatal Sepsis Early Diagnosis System for Very Low Birth Weight Infants

D. Buongiorno, Vitoantonio Bevilacqua, A. Del Vecchio, 2021, Applied Sciences.

Task-Oriented Muscle Synergy Extraction Using An Autoencoder-Based Neural Model

Antonio Frisoli, Vitoantonio Bevilacqua, Giacomo Donato Cascarano, 2020, Inf..

An Explainable Radiogenomic Framework to Predict Mutational Status of KRAS and EGFR in Lung Adenocarcinoma Patients

D. Buongiorno, Vitoantonio Bevilacqua, F. Corallo, 2023, Bioengineering.

A comparison between ANN and SVM classifiers for Parkinson’s disease by using a model-free computer-assisted handwriting analysis based on biometric signals

Ilaria Bortone, Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

A Serious Game for the Assessment of Visuomotor Adaptation Capabilities during Locomotion Tasks Employing an Embodied Avatar in Virtual Reality

Tommaso Maria Marvulli, D. Naso, V. Monaco, 2023, Sensors.

Comparative Analysis of Rhino-Cytological Specimens with Image Analysis and Deep Learning Techniques

Vitoantonio Bevilacqua, Antonio Brunetti, Giovanni Dimauro, 2020, Electronics.

Proposal of a health care network based on big data analytics for PDs

Gianpaolo Francesco Trotta, Vitoantonio Bevilacqua, Eugenio Di Sciascio, 2019, The Journal of Engineering.

Remote mobile manipulation with the centauro robot: Full‐body telepresence and autonomous operator assistance pdf

Nikolaos G. Tsagarakis, Sven Behnke, Antonio Frisoli, 2019, J. Field Robotics.

Influence of clinical features of the spine on Gait Analysis in adolescent with idiopathic scoliosis

Vitoantonio Bevilacqua, Domenico Buongiorno, Andrea Piazzolla, 2020, 2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

A time-dependent explainable radiomic analysis from the multi-omic cohort of CPTAC-Pancreatic Ductal Adenocarcinoma

D. Buongiorno, Vitoantonio Bevilacqua, G. Zaccaria, 2024, Computer Methods and Programs in Biomedicine.

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

Antonio Frisoli, Vitoantonio Bevilacqua, Michele Barsotti, 2018, Front. Neurorobot..