An Efficient Deep Learning Approach for Arrhythmia Classification using 3D Temporal SVCG. - Lorenzo Simone; Mauro Giuseppe Camporeale; Nunzia Lomonte; Giovanni Dimauro; Vincenzo Gervasi (ICDH, 2023)

Development of a Desktop Application to Enable Doctors to Remotely Monitor Patients' Hematological Parameters. - Mauro Giuseppe Camporeale; Lucio Colizzi; Nunzia Lomonte; Azzurra Ragone (PROFES (2), 2023)

An intelligent non-invasive system for automated diagnosis of anemia exploiting a novel dataset. - Giovanni Dimauro; Maria Elena Griseta; Mauro Giuseppe Camporeale; Felice Clemente; Attilio Guarini; Rosalia Maglietta (Artif. Intell. Medicine, 2023)

Anaemia detection based on sclera and blood vessel colour estimation. - Giovanni Dimauro; Mauro Giuseppe Camporeale; Alessandro Dipalma; Attilio Guarini; Rosalia Maglietta (Biomed. Signal Process. Control., 2023)

BEATing CILIAted cells. - Giovanni Dimauro; Nicola Barbaro; Mauro Giuseppe Camporeale; Valeria Fiore; Matteo Gelardi; Michele Scalera (IEEE DataPort, 2023)

DeepCilia: Automated, deep-learning based engine for precise ciliary beat frequency estimation. - Giovanni Dimauro; Nicola Barbaro; Mauro Giuseppe Camporeale; Valeria Fiore; Matteo Gelardi; Michele Scalera (Biomed. Signal Process. Control., 2024)

A Nasal Cytology Dataset for Object Detection and Deep Learning. - Mauro Giuseppe Camporeale; Giovanni Dimauro; Matteo Gelardi; Giorgia Iacobellis; Mattia Sebastiano Ladisa; Sergio Latrofa; Nunzia Lomonte (CoRR, 2024)

Nasal Mucosa Cell Dataset (NMCD). - Mauro Giuseppe Camporeale; Giovanni Dimauro; Matteo Gelardi; Giorgia Iacobellis; Mattia Sebastiano Ladisa; Sergio Latrofa; Nunzia Lomonte (IEEE DataPort, 2024)

Interpretable Early Detection of Parkinson's Disease Through Speech Analysis. - Lorenzo Simone; Mauro Giuseppe Camporeale; Vito Marco Rubino; Vincenzo Gervasi; Giovanni Dimauro (AIME (2), 2025)