A Virtual Glove System for the Hand Rehabilitation based on Two Orthogonal LEAP Motion Controllers. - Giuseppe Placidi; Luigi Cinque; Andrea Petracca; Matteo Polsinelli; Matteo Spezialetti (ICPRAM, 2017)

Iterative Adaptive Sparse Sampling Method for Magnetic Resonance Imaging. - Giuseppe Placidi; Luigi Cinque; Andrea Petracca; Matteo Polsinelli; Matteo Spezialetti (ICPRAM, 2017)

Characterization of a Virtual Glove for Hand Rehabilitation Based on Orthogonal LEAP Controllers. - Giuseppe Placidi; Luigi Cinque; Matteo Polsinelli; Matteo Spezialetti (ICPRAM (Revised Selected Papers), 2017)

Forces Calculation Module for the Leap-Based Virtual Glove. - Giuseppe Placidi; Luigi Cinque; Matteo Polsinelli; Matteo Spezialetti (ICBBT, 2018)

BCI driven by self-induced emotions: a multi-class study. - Giuseppe Placidi; Matteo Polsinelli; Matteo Spezialetti; Luigi Cinque (MeMeA, 2018)

Hand movement parameters calculated by the LEAP based Virtual Glove. - Matteo Polsinelli; Paola Andrea Banchetti; Angelo Cacchio; Vittorio Calvisi; Carmine Marini; Giuseppe Placidi; Matteo Spezialetti; Luigi Cinque (MeMeA, 2018)

Measurements by A LEAP-Based Virtual Glove for the Hand Rehabilitation. - Giuseppe Placidi; Luigi Cinque; Matteo Polsinelli; Matteo Spezialetti (Sensors, 2018)

Automatic Framework for Multiple Sclerosis Follow-up by Magnetic Resonance Imaging for Reducing Contrast Agents. - Giuseppe Placidi; Luigi Cinque; Matteo Polsinelli; Alessandra Splendiani; Emanuele Tommasino (ICIAP (2), 2019)

Self-induced emotions as alternative paradigm for driving brain-computer interfaces. - Giuseppe Placidi; Matteo Polsinelli; Matteo Spezialetti; Luigi Cinque; Paolo Di Giamberardino; Daniela Iacoviello (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019)

A Web Application for Characterizing Spontaneous Emotions Using Long EEG Recording Sessions. - Giuseppe Placidi; Luigi Cinque; Matteo Polsinelli (Innovations in Big Data Mining and Embedded Knowledge, 2019)

Guidelines for Effective Automatic Multiple Sclerosis Lesion Segmentation by Magnetic Resonance Imaging. - Giuseppe Placidi; Luigi Cinque; Matteo Polsinelli (ICPRAM, 2020)

Convolutional Neural Networks for Automatic Detection of Artifacts from Independent Components Represented in Scalp Topographies of EEG Signals. - Giuseppe Placidi; Luigi Cinque; Matteo Polsinelli (CoRR, 2020)

A light CNN for detecting COVID-19 from CT scans of the chest. - Matteo Polsinelli; Luigi Cinque; Giuseppe Placidi (Pattern Recognit. Lett., 2020)

Local Contrast Normalization to Improve Preprocessing in MRI of the Brain. - Giuseppe Placidi; Matteo Polsinelli (BIOMESIP, 2021)

Integration of a BCI with a Hand Tracking System and a Motorized Robotic Arm to Improve Decoding of Brain Signals Related to Hand and Finger Movements. - Giuseppe Placidi; Giovanni De Gasperis; Filippo Mignosi; Matteo Polsinelli; Matteo Spezialetti (ISVC (1), 2021)

A fast and scalable framework for automated artifact recognition from EEG signals represented in scalp topographies of Independent Components. - Giuseppe Placidi; Luigi Cinque; Matteo Polsinelli (Comput. Biol. Medicine, 2021)

Multiple Sclerosis Lesions Identification/Segmentation in Magnetic Resonance Imaging using Ensemble CNN and Uncertainty Classification. - Giuseppe Placidi; Luigi Cinque; Filippo Mignosi; Matteo Polsinelli (CoRR, 2021)

Data integration by two-sensors in a LEAP-based Virtual Glove for human-system interaction. - Giuseppe Placidi; Danilo Avola; Luigi Cinque; Matteo Polsinelli; Eleni Theodoridou; João Manuel R. S. Tavares (Multim. Tools Appl., 2021)

Investigating the Effectiveness of Color Coding in Multimodal Medical Imaging. - Giuseppe Placidi; Giovanna Castellano; Filippo Mignosi; Matteo Polsinelli; Gennaro Vessio (CBMS, 2022)

Unsupervised Brain MRI Anomaly Detection for Multiple Sclerosis Classification. - Giovanna Castellano; Giuseppe Placidi; Matteo Polsinelli; Gianpiero Tulipani; Gennaro Vessio (ICPR Workshops (1), 2022)

Compact, Accurate and Low-cost Hand Tracking System based on LEAP Motion Controllers and Raspberry Pi. - Giuseppe Placidi; Alessandro Di Matteo; Filippo Mignosi; Matteo Polsinelli; Matteo Spezialetti (ICPRAM, 2022)

Star-Net: a Multi-Branch Convolutional Network for Multiple Source Image Segmentation. - Giuseppe Placidi; Luigi Cinque; Michele Nappi; Matteo Polsinelli; Alessandro Sciarra; Genoveffa Tortora (SITIS, 2022)

A 4D LSTM network for emotion recognition from the cross-correlation of the power spectral density of EEG signals. - Daniele Lozzi; Filippo Mignosi; Matteo Spezialetti; Giuseppe Placidi; Matteo Polsinelli (WI/IAT, 2022)

Combining Unsupervised and Supervised Deep Learning for Alzheimer's Disease Detection by Fractional Anisotropy Imaging. - Giovanna Castellano; Eufemia Lella; Valerio Longo; Giuseppe Placidi; Matteo Polsinelli; Gennaro Vessio (CBMS, 2023)

Graph model of phase lag index for connectivity analysis in EEG of emotions. - Daniele Lozzi; Filippo Mignosi; Giuseppe Placidi; Matteo Polsinelli (CBMS, 2023)

Graph Model to Represent Color Closeness in Pseudo-color Multimodal MRI. - Alessandro Pio; Giovanna Castellano; Filippo Mignosi; Giuseppe Placidi; Matteo Polsinelli; Alessandro Sciarra; Gennaro Vessio (CBMS, 2023)

Siamese Network to Investigate Scanner-Dependency in MRI. - Matteo Polsinelli; Luigi Cinque; Filippo Mignosi; Giuseppe Placidi; Genoveffa Tortora (CBMS, 2023)

Periodontisis Evaluation through Automatic Teeth Detection and Segmentation from self-collected Smartphone Images. - Stefano Rosini; Serena Altamura; Davide Pietropaoli; Giuseppe Placidi; Matteo Polsinelli (CBMS, 2023)

Materials and techniques for effective at-home rehabilitation for hand mobility restoration based on the Virtual Glove. - Eleni Theodoridou; Angelo Cacchio; Alessandro Di Matteo; Matteo Polsinelli; Giuseppe Placidi (CBMS, 2023)

Hand Tracking and Gesture Recognition by Multiple Contactless Sensors: A Survey. - Eleni Theodoridou; Luigi Cinque; Filippo Mignosi; Giuseppe Placidi; Matteo Polsinelli; João Manuel R. S. Tavares; Matteo Spezialetti (IEEE Trans. Hum. Mach. Syst., 2023)

Patient-Therapist Cooperative Hand Telerehabilitation through a Novel Framework Involving the Virtual Glove System. - Giuseppe Placidi; Alessandro Di Matteo; Daniele Lozzi; Matteo Polsinelli; Eleni Theodoridou (Sensors, 2023)

Deep Learning Architecture analysis for EEG-Based BCI Classification under Motor Execution. - Enrico Mattei; Daniele Lozzi; Alessandro Di Matteo; Matteo Polsinelli; Costanzo Manes; Filippo Mignosi; Giuseppe Placidi (CBMS, 2024)

Calibration of the Double Digital Twin for the Hand Rehabilitation by the Virtual Glove. - Alessandro Di Matteo; Daniele Lozzi; Enrico Mattei; Filippo Mignosi; Sara Montagna; Matteo Polsinelli; Giuseppe Placidi (CBMS, 2024)

A CycleGAN Model to Synthesize Missing and Unpaired MRI Sequences for Under-Represented Multiple Sclerosis Lesions. - Flavio D' Amato; Alessia Cipriani; Alessandro Di Matteo; Daniele Lozzi; Enrico Mattei; Matteo Polsinelli; Giuseppe Placidi (ECCV Workshops (20), 2024)

Siamese network to assess scanner-related contrast variability in MRI. - Matteo Polsinelli; Hongwei Bran Li; Filippo Mignosi; Li Zhang 085; Giuseppe Placidi (Image Vis. Comput., 2024)

Portable Head-Mounted System for Mobile Forearm Tracking. - Matteo Polsinelli; Alessandro Di Matteo; Daniele Lozzi; Enrico Mattei; Filippo Mignosi; Lorenzo Nazzicone; Vincenzo Stornelli; Giuseppe Placidi (Sensors, 2024)

Comparative Evaluation of Synthetic Image Detectors: Insights from Generative Adversarial Networks and Stable Diffusion Generators. - Andrea F. Abate; Lucia Cimmino; Matteo Polsinelli (AINA (8), 2025)

Integrating Post-Quantum Cryptography and Blockchain to Secure Low-Cost IoT Devices. - Aniello Castiglione; Jacopo Gennaro Esposito; Vincenzo Loia; Michele Nappi; Chiara Pero; Matteo Polsinelli (IEEE Trans. Ind. Informatics, 2025)

A Context-Dependent CNN-Based Framework for Multiple Sclerosis Segmentation in MRI. - Giuseppe Placidi; Luigi Cinque; Gian Luca Foresti; Francesca Galassi; Filippo Mignosi; Michele Nappi; Matteo Polsinelli (Int. J. Neural Syst., 2025)

Enhancing trust of deep learning models with post-quantum digital signatures. - Aniello Castiglione; Jacopo Gennaro Esposito; Vincenzo Loia; Michele Nappi; Chiara Pero; Matteo Polsinelli (J. Supercomput., 2025)

Autonomous Driving: Integration of Segmentation and Depth Camera in a Curriculum Learning Approach. - Silvio Barra; Lucia Cimmino; Vincenzo Loia; Michele Nappi; Matteo Polsinelli (IEEE Internet Things J., 2025)