Time-Window SIQR Analysis of COVID-19 Outbreak and Containment Measures in Italy. - Ermanno Cordelli; Matteo Tortora; Rosa Sicilia; Paolo Soda (CBMS, 2020)

Exploring Deep Pathomics in Lung Cancer. - Charles Z. Liu; Rosa Sicilia; Matteo Tortora; Ermanno Cordelli; Lorenzo Nibid; Giovanna Sabarese; Giuseppe Perrone; Michele Fiore; Sara Ramella; Paolo Soda (CBMS, 2021)

Deep Reinforcement Learning for Fractionated Radiotherapy in Non-Small Cell Lung Carcinoma. - Matteo Tortora; Ermanno Cordelli; Rosa Sicilia; Marianna Miele; Paolo Matteucci; Giulio Iannello; Sara Ramella; Paolo Soda (Artif. Intell. Medicine, 2021)

PyTrack: A Map-Matching-Based Python Toolbox for Vehicle Trajectory Reconstruction. - Matteo Tortora; Ermanno Cordelli; Paolo Soda (IEEE Access, 2022)

Exploring Early Stress Detection from Multimodal Time Series with Deep Reinforcement Learning. - Leonardo Furia; Matteo Tortora; Paolo Soda; Rosa Sicilia (BIBM, 2023)

Sustainable AI: inside the deep, alongside the green. - Francesco Conte; Ermanno Cordelli; Valerio Guarrasi; Giulio Iannello; Rosa Sicilia; Paolo Soda; Matteo Tortora (Ital-IA, 2023)

RadioPathomics: Multimodal Learning in Non-Small Cell Lung Cancer for Adaptive Radiotherapy. - Matteo Tortora; Ermanno Cordelli; Rosa Sicilia; Lorenzo Nibid; Edy Ippolito; Giuseppe Perrone; Sara Ramella; Paolo Soda (IEEE Access, 2023)

MATNet: Multi-Level Fusion and Self-Attention Transformer-Based Model for Multivariate Multi-Step Day-Ahead PV Generation Forecasting. - Matteo Tortora; Francesco Conte; Gianluca Natrella; Paolo Soda (CoRR, 2023)

AI-CARE: Artificial Intelligence for Customized Adaptive Robot-Aided Rehabilitation. - Rita Molle; Christian Tamantini; Alessia Paglialonga; Davide Simeone; Leonardo Furia; Matteo Tortora; Clemente Lauretti; Giulio Iannello; Paolo Soda; Rosa Sicilia; Fabrizio Dabbene; Loredana Zollo (HFR, 2024)

Benchmarking GAN-Based vs Classical Data Augmentation on Biomedical Images. - Massimiliano Mantegna; Lorenzo Tronchin; Matteo Tortora; Paolo Soda (ICPR (Workshops and Challenges, 2), 2024)

Virtual Scanner: Leveraging Resilient Generative AI for Radiological Imaging in the Era of Medical Digital Twins. - Carolina Adornato; Cecilia Assolito; Ermanno Cordelli; Francesco Di Feola; Valerio Guarrasi; Giulio Iannello; Lorenzo Marcoccia; Elena Mulero Ayllon; Rebecca Restivo; Aurora Rofena; Rosa Sicilia; Paolo Soda; et al. (Ital-IA, 2024)

Towards AI-driven Next Generation Personalized Healthcare and Well-being. - Fatih Aksu; Alessandro Bria; Alice Natalina Caragliano; Camillo Maria Caruso; Wenting Chen; Ermanno Cordelli; Omar Coser; Arianna Francesconi; Leonardo Furia; Valerio Guarrasi; Giulio Iannello; Clemente Lauretti; et al. (Ital-IA, 2024)

Machine learning predicts pulmonary Long Covid sequelae using clinical data. - Ermanno Cordelli; Paolo Soda; Sara Citter; Elia Schiavon; Christian Salvatore; Deborah Fazzini; Greta Clementi; Michaela Cellina; Andrea Cozzi; Chandra Bortolotto; Lorenzo Preda; Luisa Francini; et al. (BMC Medical Informatics Decis. Mak., 2024)

Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging. - Elena Mulero Ayllon; Massimiliano Mantegna; Linlin Shen; Paolo Soda; Valerio Guarrasi; Matteo Tortora (CBMS, 2025)

Deep Learning for Human Locomotion Analysis in Lower-Limb Exoskeletons: A Comparative Study. - Omar Coser; Christian Tamantini; Matteo Tortora; Leonardo Furia; Rosa Sicilia; Loredana Zollo; Paolo Soda (CoRR, 2025)

Correction: Machine learning predicts pulmonary long Covid sequelae using clinical data. - Ermanno Cordelli; Paolo Soda; Sara Citter; Elia Schiavon; Christian Salvatore; Deborah Fazzini; Greta Clementi; Michaela Cellina; Andrea Cozzi; Chandra Bortolotto; Lorenzo Preda; Luisa Francini; et al. (BMC Medical Informatics Decis. Mak., 2025)