A novel BCI-SSVEP based approach for control of walking in Virtual Environment using a Convolutional Neural Network. - Vitoantonio Bevilacqua; Giacomo Tattoli; Domenico Buongiorno; Claudio Loconsole; Daniele Leonardis; Michele Barsotti; Antonio Frisoli; Massimo Bergamasco (IJCNN, 2014)

A neuromusculoskeletal model of the human upper limb for a myoelectric exoskeleton control using a reduced number of muscles. - Domenico Buongiorno; Michele Barsotti; Edoardo Sotgiu; Claudio Loconsole; Massimiliano Solazzi; Vitoantonio Bevilacqua; Antonio Frisoli (World Haptics, 2015)

A supervised CAD to support telemedicine in hematology. - Vitoantonio Bevilacqua; Domenico Buongiorno; Pierluigi Carlucci; Ferdinando Giglio; Giacomo Tattoli; Attilio Guarini; Nicola Sgherza; Giacoma De Tullio; Carla Minoia; Anna Scattone; Giovanni Simone; Francesco Girardi; et al. (IJCNN, 2015)

Advanced classification of Alzheimer's disease and healthy subjects based on EEG markers. - Vitoantonio Bevilacqua; Angelo Antonio Salatino; Carlo Di Leo; Giacomo Tattoli; Domenico Buongiorno; Domenico Signorile; Claudio Babiloni; Claudio Del Percio; Antonio Ivano Triggiani; Loreto Gesualdo (IJCNN, 2015)

A Linear Optimization Procedure for an EMG-driven NeuroMusculoSkeletal Model Parameters Adjusting: Validation Through a Myoelectric Exoskeleton Control. - Domenico Buongiorno; Francesco Barone; Massimiliano Solazzi; Vitoantonio Bevilacqua; Antonio Frisoli (EuroHaptics (2), 2016)

A Nonlinear Autoencoder for Kinematic Synergy Extraction from Movement Data Acquired with HTC Vive Trackers. - Irio De Feudis; Domenico Buongiorno; Giacomo Donato Cascarano; Antonio Brunetti; Donato Micele; Vitoantonio Bevilacqua (IIH-MSP (1), 2017)

Advanced control strategies for natural Human-Exoskeleton interaction. - Domenico Buongiorno (2017)

Assessment and Rating of Movement Impairment in Parkinson's Disease Using a Low-Cost Vision-Based System. - Domenico Buongiorno; Gianpaolo Francesco Trotta; Ilaria Bortone; Nicola Di Gioia; Felice Avitto; Giacomo Losavio; Vitoantonio Bevilacqua (ICIC (3), 2018)

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; Giacomo Donato Cascarano; Paola Regina; Antonio Brunetti; Irio De Feudis; Domenico Buongiorno; Claudio Loconsole; Vitoantonio Bevilacqua (IJCNN, 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. - Claudio Loconsole; Giacomo Donato Cascarano; Antonio Lattarulo; Antonio Brunetti; Gianpaolo Francesco Trotta; Domenico Buongiorno; Ilaria Bortone; Irio De Feudis; Giacomo Losavio; Vitoantonio Bevilacqua; Eugenio Di Sciascio (IJCNN, 2018)

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. - Domenico Buongiorno; Michele Barsotti; Francesco Barone; Vitoantonio Bevilacqua; Antonio Frisoli (Frontiers Neurorobotics, 2018)

Computer vision and deep learning techniques for pedestrian detection and tracking: A survey. - Antonio Brunetti; Domenico Buongiorno; Gianpaolo Francesco Trotta; Vitoantonio Bevilacqua (Neurocomputing, 2018)

WRES: A Novel 3 DoF WRist ExoSkeleton With Tendon-Driven Differential Transmission for Neuro-Rehabilitation and Teleoperation. - Domenico Buongiorno; Edoardo Sotgiu; Daniele Leonardis; Simone Marcheschi; Massimiliano Solazzi; Antonio Frisoli (IEEE Robotics Autom. Lett., 2018)

A Survey on Deep Learning in Electromyographic Signal Analysis. - Domenico Buongiorno; Giacomo Donato Cascarano; Antonio Brunetti; Irio De Feudis; Vitoantonio Bevilacqua (ICIC (3), 2019)

Evaluating Generalization Capability of Bio-inspired Models for a Myoelectric Control: A Pilot Study. - Cristian Camardella; Michele Barsotti; Luis Pelaez Murciego; Domenico Buongiorno; Vitoantonio Bevilacqua; Antonio Frisoli (ICIC (3), 2019)

An Innovative Neural Network Framework for Glomerulus Classification Based on Morphological and Texture Features Evaluated in Histological Images of Kidney Biopsy. - Giacomo Donato Cascarano; Francesco Saverio Debitonto; Ruggero Lemma; Antonio Brunetti; Domenico Buongiorno; Irio De Feudis; Andrea Guerriero; Michele Rossini; Francesco Pesce; Loreto Gesualdo; Vitoantonio Bevilacqua (ICIC (3), 2019)

Design and Development of a Robotic Platform Based on Virtual Reality Scenarios and Wearable Sensors for Upper Limb Rehabilitation and Visuomotor Coordination. - Stefano Mazzoleni; Elena Battini; Domenico Buongiorno; Daniele Giansanti; Mauro Grigioni; Giovanni Maccioni; Federico Posteraro; Francesco Draicchio; Vitoantonio Bevilacqua (ICIC (3), 2019)

An undercomplete autoencoder to extract muscle synergies for motor intention detection. - Domenico Buongiorno; Cristian Camardella; Giacomo Donato Cascarano; Luis Pelaez Murciego; Michele Barsotti; Irio De Feudis; Antonio Frisoli; Vitoantonio Bevilacqua (IJCNN, 2019)

A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson's Disease. - Domenico Buongiorno; Ilaria Bortone; Giacomo Donato Cascarano; Gianpaolo Francesco Trotta; Antonio Brunetti; Vitoantonio Bevilacqua (BMC Medical Informatics Decis. Mak., 2019)

Biometric handwriting analysis to support Parkinson's Disease assessment and grading. - Giacomo Donato Cascarano; Claudio Loconsole; Antonio Brunetti; Antonio Lattarulo; Domenico Buongiorno; Giacomo Losavio; Eugenio Di Sciascio; Vitoantonio Bevilacqua (BMC Medical Informatics Decis. Mak., 2019)

Multi-DoFs Exoskeleton-Based Bilateral Teleoperation with the Time-Domain Passivity Approach. - Domenico Buongiorno; Domenico Chiaradia; Simone Marcheschi; Massimiliano Solazzi; Antonio Frisoli (Robotica, 2019)

A Novel Deep Learning Approach in Haematology for Classification of Leucocytes. - Vitoantonio Bevilacqua; Antonio Brunetti; Gianpaolo Francesco Trotta; Domenico De Marco; Marco Giuseppe Quercia; Domenico Buongiorno; Alessia D'Introno; Francesco Girardi; Attilio Guarini (Quantifying and Processing Biomedical and Behavioral Signals, 2019)

On the Analysis of the Relationship Between Alkaline Water Usage and Muscle Fatigue Recovery. - Giacomo Losavio; Bernadette Tamma; Angelo Abbattista; Sabina Ilaria Tatò; Domenico Buongiorno; Giacomo Donato Cascarano; Antonio Brunetti; Irio De Feudis; Vitoantonio Bevilacqua (AHFE (15), 2020)

Influence of clinical features of the spine on Gait Analysis in adolescent with idiopathic scoliosis. - Ilaria Bortone; Andrea Piazzolla; Domenico Buongiorno; Davide Bizzoca; Pietro Fiore; Vitoantonio Bevilacqua; Biagio Moretti (MeMeA, 2020)

Task-Oriented Muscle Synergy Extraction Using An Autoencoder-Based Neural Model. - Domenico Buongiorno; Giacomo Donato Cascarano; Cristian Camardella; Irio De Feudis; Antonio Frisoli; Vitoantonio Bevilacqua (Inf., 2020)

Remote mobile manipulation with the centauro robot: Full-body telepresence and autonomous operator assistance. - Tobias Klamt; Max Schwarz; Christian Lenz; Lorenzo Baccelliere; Domenico Buongiorno; Torben Cichon; Antonio Di Guardo; David Droeschel; Massimiliano Gabardi; Malgorzata Kamedula; Navvab Kashiri; Arturo Laurenzi; et al. (J. Field Robotics, 2020)

A Multi-modal Tool Suite for Parkinson's Disease Evaluation and Grading. - Giacomo Donato Cascarano; Antonio Brunetti; Domenico Buongiorno; Gianpaolo Francesco Trotta; Claudio Loconsole; Ilaria Bortone; Vitoantonio Bevilacqua (Neural Approaches to Dynamics of Signal Exchanges, 2020)

Deep learning for processing electromyographic signals: A taxonomy-based survey. - Domenico Buongiorno; Giacomo Donato Cascarano; Irio De Feudis; Antonio Brunetti; Leonarda Carnimeo; Giovanni Dimauro; Vitoantonio Bevilacqua (Neurocomputing, 2021)

Towards online myoelectric control based on muscle synergies-to-force mapping for robotic applications. - Cristian Camardella; Michele Barsotti; Domenico Buongiorno; Antonio Frisoli; Vitoantonio Bevilacqua (Neurocomputing, 2021)

Segmentation and Identification of Vertebrae in CT Scans Using CNN, k-Means Clustering and k-NN. - Nicola Altini; Giuseppe De Giosa; Nicola Fragasso; Claudia Coscia; Elena Sibilano; Berardino Prencipe; Sardar Mehboob Hussain; Antonio Brunetti; Domenico Buongiorno; Andrea Guerriero; Sabina Ilaria Tatò; Gioacchino Brunetti; et al. (Informatics, 2021)

A neural network for glomerulus classification based on histological images of kidney biopsy. - Giacomo Donato Cascarano; Francesco Saverio Debitonto; Ruggero Lemma; Antonio Brunetti; Domenico Buongiorno; Irio De Feudis; Andrea Guerriero; Umberto Venere; Silvia Matino; Maria Teresa Rocchetti; Michele Rossini; Francesco Pesce; et al. (BMC Medical Informatics Decis. Mak., 2021)

Enhancement of aortic dissections in CT angiography: are common filters robust enough? - Antonella Disanto; Antonio Pepe 003; Luana Petrelli; Christina Gsaxner; Jianning Li 002; Yuan Jin; Antonio Brunetti; Domenico Buongiorno; Jan Egger; Vitoantonio Bevilacqua (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Deep Learning Based Image Processing for Robot Assisted Surgery: A Systematic Literature Survey. - Sardar Mehboob Hussain; Antonio Brunetti; Giuseppe Lucarelli; Riccardo Memeo; Vitoantonio Bevilacqua; Domenico Buongiorno (IEEE Access, 2022)

Major Depressive Disorder Classification with 3D CNNs and Grad-CAM Visualization on Structural Magnetic Resonance Images. - Elena Sibilano; Alessandra Algieri; Vitoantonio Bevilacqua; Domenico Buongiorno; Antonio Brunetti (WIRN, 2023)

Deep Learning for Automatic Vision-Based Recognition of Industrial Surface Defects: A Survey. - Michela Prunella; Roberto Maria Scardigno; Domenico Buongiorno; Antonio Brunetti; Nicola Longo; Raffaele Carli; Mariagrazia Dotoli; Vitoantonio Bevilacqua (IEEE Access, 2023)

A Serious Game for the Assessment of Visuomotor Adaptation Capabilities during Locomotion Tasks Employing an Embodied Avatar in Virtual Reality. - Vladimiro Suglia; Antonio Brunetti; Guido Pasquini; Mariapia Caputo; Tommaso Maria Marvulli; Elena Sibilano; Sara Della Bella; Paola Carrozza; Chiara Beni; David Naso; Vito Monaco; Giovanna Cristella; et al. (Sensors, 2023)

A time-dependent explainable radiomic analysis from the multi-omic cohort of CPTAC-Pancreatic Ductal Adenocarcinoma. - Gian Maria Zaccaria; Francesco Berloco; Domenico Buongiorno; Antonio Brunetti; Nicola Altini; Vitoantonio Bevilacqua (Comput. Methods Programs Biomed., 2024)

Understanding the Role of Self-Attention in a Transformer Model for the Discrimination of SCD From MCI Using Resting-State EEG. - Elena Sibilano; Domenico Buongiorno; Michael Lassi; Antonello Grippo; Valentina Bessi; Sandro Sorbi; Alberto Mazzoni; Vitoantonio Bevilacqua; Antonio Brunetti (IEEE J. Biomed. Health Informatics, 2024)

Muscle Network Analysis of a Dynamic Bilateral Task with an Upper Limb Exoskeleton. - Vladimiro Suglia; Cristian Camardella; Gianluca Rinaldi; Domenico Chiaradia; Domenico Buongiorno; Hui Zhou 008; Antonio Frisoli; Daniele Leonardis; Vitoantonio Bevilacqua (ICORR, 2025)

Optimized Deep Learning-Based Pathological Gait Recognition Explored Through Network Analysis of Inertial Data. - Lucia Palazzo; Vladimiro Suglia; Sabrina Grieco; Domenico Buongiorno; Gaetano Pagano; Vitoantonio Bevilacqua; Giovanni D'Addio (MeMeA, 2025)

CALIMAR-GAN: An unpaired mask-guided attention network for metal artifact reduction in CT scans. - Roberto Maria Scardigno; Antonio Brunetti; Tommaso Maria Marvulli; Raffaele Carli; Mariagrazia Dotoli; Vitoantonio Bevilacqua; Domenico Buongiorno (Comput. Medical Imaging Graph., 2025)

Deep Learning-Based Semantic Segmentation for Real-Time Kidney Imaging and Measurements with Augmented Reality-Assisted Ultrasound. - Gijs Luijten; Roberto Maria Scardigno; Lisle Faray de Paiva; Peter Hoyer; Jens Kleesiek; Domenico Buongiorno; Vitoantonio Bevilacqua; Jan Egger (CoRR, 2025)