Agreement between Opal and G-Walk Wearable Inertial Systems in Gait Analysis on Normal and Pathological Subjects. - Giovanni D'Addio; Leandro Donisi; Gaetano Pagano; Giovanni Improta; Arcangelo Biancardi; Mario Cesarelli (EMBC, 2019)

Development of a Prototype E-Textile Sock. - Giovanni D'Addio; Simone Evangelista; Leandro Donisi; Arcangelo Biancardi; Emilio Andreozzi; Gaetano Pagano; Pasquale Arpaia; Mario Cesarelli (EMBC, 2019)

Experimental Development and Validation of an E-Textile Sock Prototype. - Federica Amitrano; Leandro Donisi; Armando Coccia; Arcangelo Biancardi; Gaetano Pagano; Giovanni D'Addio (MeMeA, 2020)

Repeatability of Spatio-Temporal Gait Measurements in Parkinson's Disease. - Armando Coccia; Bernardo Lanzillo; Leandro Donisi; Federica Amitrano; Giuseppe Cesarelli; Giovanni D'Addio (MeMeA, 2020)

Backpack Influence on Kinematic Parameters related to Timed Up and Go (TUG) Test in School Children. - Leandro Donisi; Armando Coccia; Federica Amitrano; Luca Mercogliano; Giuseppe Cesarelli; Giovanni D'Addio (MeMeA, 2020)

Rehabilitation Outcome in Patients undergone Hip or Knee Replacement Surgery using Inertial Technology for Gait Analysis. - Gaetano Pagano; Giovanni D'Addio; Maurizio De Campi; Leandro Donisi; Arcangelo Biancardi; Mario Cesarelli (MeMeA, 2020)

Design and Validation of an E-Textile-Based Wearable Sock for Remote Gait and Postural Assessment. - Federica Amitrano; Armando Coccia; Carlo Ricciardi; Leandro Donisi; Giuseppe Cesarelli; Edda Maria Capodaglio; Giovanni D'Addio (Sensors, 2020)

Impact of hospital infections in the clinical medicine area of "Federico II" University Hospital of Naples assessed by means of statistical analysis and logistic regression. - Emma Montella; Arianna Scala; Maddalena Di Lillo; Marco Lamberti; Leandro Donisi; Maria Triassi; Martina Profeta (ICBBS, 2021)

Gait Analysis using Wearable E-Textile Sock: an Experimental Study of Test-Retest Reliability. - Federica Amitrano; Armando Coccia; Leandro Donisi; Gaetano Pagano; Giuseppe Cesarelli; Giovanni D'Addio (MeMeA, 2021)

Statistical correlation analysis between kinematic features and clinical indexes and scales for obese patients. - Giuseppe Cesarelli; Leandro Donisi; Giovanni Di Caprio; Michelina Scioli; Arcangelo Biancardi; Giovanni D'Addio (MeMeA, 2021)

Analysis of Test-Retest Repeatability of Gait Analysis Parameters in Hereditary Spastic Paraplegia. - Armando Coccia; Federica Amitrano; Pietro Balbi; Leandro Donisi; Arcangelo Biancardi; Giovanni D'Addio (MeMeA, 2021)

Distinguishing Stroke patients with and without Unilateral Spatial Neglect by means of Clinical Features: a Tree-based Machine Learning Approach. - Leandro Donisi; Pasquale Moretta; Armando Coccia; Federica Amitrano; Arcangelo Biancardi; Giovanni D'Addio (MeMeA, 2021)

Reliability of kinematic parameters related to the Timed Up and Go Test in patients with gait impairments. - Gaetano Pagano; Leandro Donisi; Vito Marsico; Ernesto Losavio; Mario Cesarelli; Giovanni D'Addio (MeMeA, 2021)

A Combined Radiomics and Machine Learning Approach to Distinguish Clinically Significant Prostate Lesions on a Publicly Available MRI Dataset. - Leandro Donisi; Giuseppe Cesarelli; Anna Castaldo; Davide Raffaele De Lucia; Francesca Nessuno; Gaia Spadarella; Carlo Ricciardi (J. Imaging, 2021)

Work-Related Risk Assessment According to the Revised NIOSH Lifting Equation: A Preliminary Study Using a Wearable Inertial Sensor and Machine Learning. - Leandro Donisi; Giuseppe Cesarelli; Armando Coccia; Monica Panigazzi; Edda Maria Capodaglio; Giovanni D'Addio (Sensors, 2021)

Unsupervised Machine Learning to Identify Convalescent COVID-19 Phenotypes. - Sarah Adamo; Carlo Ricciardi; Pasquale Ambrosino; Mauro Maniscalco; Arcangelo Biancardi; Giuseppe Cesarelli; Leandro Donisi; Giovanni D'Addio (MeMeA, 2022)

Ataxia and Parkinson's disease patients classification using tree-based machine learning algorithms fed by spatiotemporal features: a pilot study. - Giuseppe Cesarelli; Leandro Donisi; Armando Coccia; Federica Amitrano; Arcangelo Biancardi; Bernardo Lanzillo; Giovanni D'Addio (MeMeA, 2022)

Feasibility of Tree-based Machine Learning algorithms fed with surface electromyographic features to discriminate risk classes according to NIOSH. - Leandro Donisi; Edda Maria Capodaglio; Gaetano Pagano; Federica Amitrano; Mario Cesarelli; Monica Panigazzi; Giovanni D'Addio (MeMeA, 2022)

The impact of ankle-foot orthosis on walking features of drop foot patients. - Federica Amitrano; Armando Coccia; Giuseppe Cesarelli; Leandro Donisi; Gaetano Pagano; Mario Cesarelli; Giovanni D'Addio (MetroXRAINE, 2022)

Machine Learning and Biosignals are able to discriminate biomechanical risk classes according to the Revised NIOSH Lifting Equation. - Leandro Donisi; Giuseppe Cesarelli; Edda Maria Capodaglio; Monica Panigazzi; Mario Cesarelli; Giovanni D'Addio (MetroXRAINE, 2022)

A combined simulation and machine learning approach to classify severity of infarction patients. - Anna Procopio; Giuseppe Cesarelli; Salvatore De Rosa; Leandro Donisi; Claudia Critelli; Alessio Merola; Ciro Indolfi; Carlo Cosentino; Francesco Amato 001 (MetroXRAINE, 2022)

Predicting lifestyle using BioVRSea multi-biometric paradigms. - Marco Recenti; Deborah Jacob; Romain Aubonnet; Bérangère Burgunder; Itziar Mengual i Escalona; Arnar Evgení Gunnarsson; Federica Kiyomi Ciliberti; Riccardo Forni; Leandro Donisi; Hannes Petersen; Paolo Gargiulo (MetroXRAINE, 2022)

A Machine Learning approach to classify ventilatory efficiency. - Giuseppe Prisco; Klara Komici; Francesco Mercaldo; Leandro Donisi; Mario Cesarelli; Germano Guerra; Antonella Santone (MetroXRAINE, 2023)

Feasibility of Tree-Based Machine Learning Models to Discriminate Safe and Unsafe Posture During Weight Lifting. - Giuseppe Prisco; Maria Romano; Fabrizio Esposito; Mario Cesarelli; Antonella Santone; Leandro Donisi (MetroXRAINE, 2023)

Gait asymmetry in stroke patients with unilateral spatial neglect. - Pasquale Moretta; Leandro Donisi; Pietro Balbi; Giuseppe Cesarelli; Luigi Trojano; Giovanni D'Addio (Medical Biol. Eng. Comput., 2023)

Combined mechanistic modeling and machine-learning approaches in systems biology - A systematic literature review. - Anna Procopio; Giuseppe Cesarelli; Leandro Donisi; Alessio Merola; Francesco Amato 001; Carlo Cosentino (Comput. Methods Programs Biomed., 2023)

Agreement between Optoelectronic System and Wearable Sensors for the Evaluation of Gait Spatiotemporal Parameters in Progressive Supranuclear Palsy. - Carlo Ricciardi; Noemi Pisani; Leandro Donisi; Filomena Abate; Marianna Amboni; Paolo Barone; Marina Picillo; Mario Cesarelli; Francesco Amato 001 (Sensors, 2023)

Agreement of Global Topological Properties of EEG Connectomes as Estimated from Phase-Locking Values and Cross-Correlation Coefficients. - Marianna Chianese; Simone Papallo; Mario Cirillo; Francesco Amato 001; Fabrizio Esposito; Leandro Donisi (MetroXRAINE, 2024)

A Combined Use of Radiomics and Connectomics to Classify Sex and Age in Healthy Subjects: The New "Radioconnectomics" Paradigm. - Leandro Donisi; Alessandro Pasquale De Rosa; Federica Franza; Maria Agnese Pirozzi; Antonio Gallo; Fabrizio Esposito (MetroXRAINE, 2024)

Biomechanical Risk Evaluation Through Machine Learning Algorithms Fed with Features Extracted From sEMG of Neck Extensors. - Giuseppe Prisco; Leandro Donisi; Lorena Guerrini; Francesco Mercaldo; Fabrizio Esposito; Antonella Santone; Mario Cesarelli; Francesco Amato 001; Paolo Gargiulo (MetroXRAINE, 2024)

A General Framework for Closed Loop Negative Feedback Multivariable Physiological Control Systems: Existence, Uniqueness, and Stability of Homeostatic Equilibrium Points. - Anna Procopio; Annarita Tedesco; Fabrizio Lo Regio; Giuseppe Cesarelli; Leandro Donisi; Carlo Ricciardi; Alessio Merola; Alfonso Maria Ponsiglione; Maria Romano; Francesco Montefusco; Carlo Cosentino; Francesco Amato 001 (IEEE Access, 2025)

Combining radiomics and connectomics in MRI studies of the human brain: A systematic literature review. - Maria Agnese Pirozzi; Federica Franza; Marianna Chianese; Simone Papallo; Alessandro Pasquale De Rosa; Federica Di Nardo; Giuseppina Caiazzo; Fabrizio Esposito; Leandro Donisi (Comput. Methods Programs Biomed., 2025)