Integrating Machine Learning and Sensors for the Development of Organ-on-Chip Platforms for Medical Diagnosis. - Arianna Mencattini; Davide Di Giuseppe; Paola Casti; Michele D'Orazio; Joanna Filippi; Maria Colomba Comes; Gianni Antonelli; Corrado Di Natale; Eugenio Martinelli (AISEM, 2021)

NeuriTES. Monitoring neurite changes through transfer entropy and semantic segmentation in bright-field time-lapse microscopy. - Arianna Mencattini; Alida Spalloni; Paola Casti; Maria Colomba Comes; Davide Di Giuseppe; Gianni Antonelli; Michele D'Orazio; Joanna Filippi; Francesca Corsi; Hervé Isambert; Corrado Di Natale; Patrizia Longone; et al. (Patterns, 2021)

Sensitivity analysis of latent variables in Variational Autoencoders for Dermoscopic Image Analysis. - Paola Casti; Arianna Mencattini; Sara Cardarelli; Gianni Antonelli; Joanna Filippi; Michele D'Orazio; Eugenio Martinelli (MeMeA, 2022)

Robust examination of cell apoptosis timing in presence of noisy environment. - Arianna Mencattini; Paola Casti; Joanna Filippi; Michele D'Orazio; Sara Cardarelli; Gianni Antonelli; Eugenio Martinelli (MeMeA, 2022)

Experimental characterization of Laser Induced Graphene (LIG) antennas for S-band wearable applications in 5G. - Alessio Mostaccio; Gianni Antonelli; Cecilia Occhiuzzi; Eugenio Martinelli; Gaetano Marrocco (RFID-TA, 2022)

Laser-Induced Graphene Fan Antenna for RFID applications. - Alessio Mostaccio; Andrea Salvia; Gianni Antonelli; Eugenio Martinelli; Gaetano Marrocco (RFID-TA, 2023)

Uncertainty-Based Feature Selection for Improved Adequacy of Dermoscopic Image Classification. - Arianna Mencattini; Paola Casti; Michele D'Orazio; Gianni Antonelli; Joanna Filippi; Eugenio Martinelli (IEEE Trans. Instrum. Meas., 2023)

S3-VAE: A novel Supervised-Source-Separation Variational AutoEncoder algorithm to discriminate tumor cell lines in time-lapse microscopy images. - Paola Casti; Sara Cardarelli; Maria Colomba Comes; Michele D'Orazio; Joanna Filippi; Gianni Antonelli; Arianna Mencattini; Corrado Di Natale; Eugenio Martinelli (Expert Syst. Appl., 2023)