A Comprehensive Method for Assessing the Blepharospasm Cases Severity. - Vitoantonio Bevilacqua; Antonio Emmanuele Uva; Michele Fiorentino 001; Gianpaolo Francesco Trotta; Maurizio Dimatteo; Enrico Nasca; Attilio Nicola Nocera; Giacomo Donato Cascarano; Antonio Brunetti; Nicholas Caporusso; Roberta Pellicciari; Giovanni Defazio (RTIP2R, 2016)

A Comprehensive Approach for Physical Rehabilitation Assessment in Multiple Sclerosis Patients Based on Gait Analysis. - Vitoantonio Bevilacqua; Gianpaolo Francesco Trotta; Antonio Brunetti; Nicholas Caporusso; Claudio Loconsole; Giacomo Donato Cascarano; Francesco Catino; Pantaleo Cozzoli; Giancarlo Delfine; Adriano Mastronardi; Andrea Di Candia; Giuseppina Lelli; et al. (AHFE (6), 2017)

A Novel Approach in Combination of 3D Gait Analysis Data for Aiding Clinical Decision-Making in Patients with Parkinson's Disease. - Ilaria Bortone; Gianpaolo Francesco Trotta; Antonio Brunetti; Giacomo Donato Cascarano; Claudio Loconsole; Nadia Agnello; Alberto Argentiero; Giuseppe Nicolardi; Antonio Frisoli; Vitoantonio Bevilacqua (ICIC (2), 2017)

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)

A Deep Learning Approach for the Automatic Detection and Segmentation in Autosomal Dominant Polycystic Kidney Disease Based on Magnetic Resonance Images. - Vitoantonio Bevilacqua; Antonio Brunetti; Giacomo Donato Cascarano; Flavio Palmieri; Andrea Guerriero; Marco Moschetta (ICIC (2), 2018)

A Model-Free Computer-Assisted Handwriting Analysis Exploiting Optimal Topology ANNs on Biometric Signals in Parkinson's Disease Research. - Vitoantonio Bevilacqua; Claudio Loconsole; Antonio Brunetti; Giacomo Donato Cascarano; Antonio Lattarulo; Giacomo Losavio; Eugenio Di Sciascio (ICIC (2), 2018)

Recognition and Severity Rating of Parkinson's Disease from Postural and Kinematic Features During Gait Analysis with Microsoft Kinect. - Ilaria Bortone; Marco Giuseppe Quercia; Nicola Ieva; Giacomo Donato Cascarano; Gianpaolo Francesco Trotta; Sabina Ilaria Tatò; Vitoantonio Bevilacqua (ICIC (2), 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)

Detection and Segmentation of Kidneys from Magnetic Resonance Images in Patients with Autosomal Dominant Polycystic Kidney Disease. - Antonio Brunetti; Giacomo Donato Cascarano; Irio De Feudis; Marco Moschetta; Loreto Gesualdo; Vitoantonio Bevilacqua (ICIC (2), 2019)

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

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 neural network-based software to recognise blepharospasm symptoms and to measure eye closure time. - Gianpaolo Francesco Trotta; Roberta Pellicciari; Antonio Boccaccio; Antonio Brunetti; Giacomo Donato Cascarano; Vito M. Manghisi; Michele Fiorentino 001; Antonio E. Uva; Giovanni Defazio; Vitoantonio Bevilacqua (Comput. Biol. Medicine, 2019)

A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images. - Vitoantonio Bevilacqua; Antonio Brunetti; Giacomo Donato Cascarano; Andrea Guerriero; Francesco Pesce; Marco Moschetta; Loreto Gesualdo (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. - 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)

A model-free technique based on computer vision and sEMG for classification in Parkinson's disease by using computer-assisted handwriting analysis. - Claudio Loconsole; Giacomo Donato Cascarano; Antonio Brunetti; Gianpaolo Francesco Trotta; Giacomo Losavio; Vitoantonio Bevilacqua; Eugenio Di Sciascio (Pattern Recognit. Lett., 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)

A Tversky Loss-Based Convolutional Neural Network for Liver Vessels Segmentation. - Nicola Altini; Berardino Prencipe; Antonio Brunetti; Gioacchino Brunetti; Vito Triggiani; Leonarda Carnimeo; Francescomaria Marino; Andrea Guerriero; Laura Villani; Arnaldo Scardapane; Giacomo Donato Cascarano (ICIC (1), 2020)

A Novel Approach Based on Region Growing Algorithm for Liver and Spleen Segmentation from CT Scans. - Berardino Prencipe; Nicola Altini; Giacomo Donato Cascarano; Andrea Guerriero; Antonio Brunetti (ICIC (1), 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)

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)

Multi-class Tissue Classification in Colorectal Cancer with Handcrafted and Deep Features. - Nicola Altini; Tommaso Maria Marvulli; Mariapia Caputo; Eliseo Mattioli; Berardino Prencipe; Giacomo Donato Cascarano; Antonio Brunetti; Stefania Tommasi; Vitoantonio Bevilacqua; Simona De Summa; Alfredo Zito (ICIC (1), 2021)

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)

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)

Liver, kidney and spleen segmentation from CT scans and MRI with deep learning: A survey. - Nicola Altini; Berardino Prencipe; Giacomo Donato Cascarano; Antonio Brunetti; Gioacchino Brunetti; Vito Triggiani; Leonarda Carnimeo; Francescomaria Marino; Andrea Guerriero; Laura Villani; Arnaldo Scardapane; Vitoantonio Bevilacqua (Neurocomputing, 2022)

Operative Automatic Detection of Tropical Rainforest Disturbances in X-Band SAR Time-Series Based on Convolutional Neural Network. - Dennis Dell'Ara; Filippo Britti; Vittorio Gentile; Giacomo Donato Cascarano; Bianchia Scappatura; Federica Pieralice; Davide Pirrone; Saverio Rutigliano (IGARSS, 2024)