Health-related rumour detection on Twitter. - Rosa Sicilia; Stella Lo Giudice; Yulong Pei; Mykola Pechenizkiy; Paolo Soda (BIBM, 2017)

Radiomics for Predicting CyberKnife response in acoustic neuroma: a pilot study. - Natascha Claudia D'Amico; Rosa Sicilia; Ermanno Cordelli; Giovanni Valbusa; Enzo Grossi; Isa Bossi Zanetti; Giancarlo Beltramo; Deborah Fazzini; Giuseppe Scotti; Giulio Iannello; Paolo Soda (BIBM, 2018)

Cross-topic Rumour Detection in the Health Domain. - Rosa Sicilia; Mario Merone; Roberto Valenti; Ermanno Cordelli; Federico D'Antoni; Vincenzo De Ruvo; Patrizia Benedetta Dragone; Sara Esposito; Paolo Soda (BIBM, 2018)

Exploratory Radiomics for Predicting Adaptive Radiotherapy in Non-Small Cell Lung Cancer. - Rosa Sicilia; Ermanno Cordelli; Sara Ramella; Michele Fiore; Carlo Greco; Elisabetta Molfese; Marianna Miele; Enrica Vinciguerra; Patrizia Cornacchione; Edy Ippolito; Rolando Maria D'Angelillo; Giulio Iannello; et al. (CBMS, 2018)

Twitter rumour detection in the health domain. - Rosa Sicilia; Stella Lo Giudice; Yulong Pei; Mykola Pechenizkiy; Paolo Soda (Expert Syst. Appl., 2018)

Early Radiomic Experiences in Classifying Prostate Cancer Aggressiveness using 3D Local Binary Patterns. - Rosa Sicilia; Ermanno Cordelli; Mario Merone; Elia Luperto; Rocco Papalia; Giulio Iannello; Paolo Soda (CBMS, 2019)

Tackling imbalance radiomics in acoustic neuroma. - Natascha Claudia D'Amico; Mario Merone; Rosa Sicilia; Ermanno Cordelli; Federico D'Antoni; Isa Bossi Zanetti; Giovanni Valbusa; Enzo Grossi; Giancarlo Beltramo; Deborah Fazzini; Giuseppe Scotti; Giulio Iannello; et al. (Int. J. Data Min. Bioinform., 2019)

Radiomics-Based Non-Invasive Lymph Node Metastases Prediction in Breast Cancer. - Ermanno Cordelli; Rosa Sicilia; Domiziana Santucci; Carlo de Felice; Carlo Cosimo Quattrocchi; Bruno Beomonte Zobel; Giulio Iannello; Paolo Soda (CBMS, 2020)

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

On Using Meta-Features to Learn Under Class Skew in Biomedical Domains. - Rosa Sicilia; Ermanno Cordelli; Paolo Soda (CBMS, 2020)

Categorizing the feature space for two-class imbalance learning. - Rosa Sicilia; Ermanno Cordelli; Paolo Soda (ICPR, 2020)

Explainable AI for Car Crash Detection using Multivariate Time Series. - Lorenzo Tronchin; Rosa Sicilia; Ermanno Cordelli; Lorenzo Ricciardi Celsi; Daniele Maccagnola; Massimo Natale; Paolo Soda (ICCI*CC, 2021)

A Multi-Expert System to Detect COVID-19 Cases in X-ray Images. - Valerio Guarrasi; Natascha Claudia D'Amico; Rosa Sicilia; Ermanno Cordelli; Paolo Soda (CBMS, 2021)

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)

Representation and Knowledge Transfer for Health-related Rumour Detection. - Rosa Sicilia; Luisa Francini; Paolo Soda (CBMS, 2021)

Describing rumours: a comparative evaluation of two handcrafted representations for rumour detection. - Luisa Francini; Paolo Soda; Rosa Sicilia (IDT, 2021)

Evaluating GANs in Medical Imaging. - Lorenzo Tronchin; Rosa Sicilia; Ermanno Cordelli; Sara Ramella; Paolo Soda (DGM4MICCAI/DALI@MICCAI, 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)

Rule-based space characterization for rumour detection in health. - Rosa Sicilia; Mario Merone; Roberto Valenti; Paolo Soda (Eng. Appl. Artif. Intell., 2021)

AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study. - Paolo Soda; Natascha Claudia D'Amico; Jacopo Tessadori; Giovanni Valbusa; Valerio Guarrasi; Chandra Bortolotto; Muhammad Usman Akbar; Rosa Sicilia; Ermanno Cordelli; Deborah Fazzini; Michaela Cellina; Giancarlo Oliva; et al. (Medical Image Anal., 2021)

Grasping Inter-Attribute and Temporal Variability in Multivariate Time Series. - Paolo Soda; Rosa Sicilia; Ludovica Acciai; Giulio Iannello (IEEE Trans. Big Data, 2021)

Exploiting AI to make insulin pens smart: injection site recognition and lipodystrophy detection. - Elisabetta Torre; Luisa Francini; Ermanno Cordelli; Rosa Sicilia; Silvia Manfrini; Vincenzo Piemonte; Paolo Soda (CBMS, 2022)

A Multimodal Ensemble Driven by Multiobjective Optimisation to Predict Overall Survival in Non-Small-Cell Lung Cancer. - Camillo Maria Caruso; Valerio Guarrasi; Ermanno Cordelli; Rosa Sicilia; Silvia Gentile; Laura Messina; Michele Fiore; Claudia L. Piccolo; Bruno Beomonte Zobel; Giulio Iannello; Sara Ramella; Paolo Soda (J. Imaging, 2022)

Pareto optimization of deep networks for COVID-19 diagnosis from chest X-rays. - Valerio Guarrasi; Natascha Claudia D'Amico; Rosa Sicilia; Ermanno Cordelli; Paolo Soda (Pattern Recognit., 2022)

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

Named Entity Recognition in Italian Lung Cancer Clinical Reports using Transformers. - Domenico Paolo; Alessandro Bria; Carlo Greco; Marco Russano; Sara Ramella; 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)

Making AI trustworthy in multimodal and healthcare scenarios. - Ermanno Cordelli; Valerio Guarrasi; Giulio Iannello; Filippo Ruffini; Rosa Sicilia; Paolo Soda; Lorenzo Tronchin (Ital-IA, 2023)

Building an AI-Enabled Metaverse for Intelligent Healthcare: Opportunities and Challenges. - Valerio Guarrasi; Lorenzo Tronchin; Camillo Maria Caruso; Aurora Rofena; Guido Manni; Fatih Aksu; Domenico Paolo; Giulio Iannello; Rosa Sicilia; Ermanno Cordelli; Paolo Soda (Ital-IA, 2023)

A Cascade of Learners for Firemen' Emergency Events Classification. - Camillo Maria Caruso; Paolo Soda; Carlo Giammichele; Francesca Rotilio; Rosa Sicilia (IEEE Access, 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)

Low-Rank Tensor Completion for Heart Failure Exacerbation Detection in Multivariate Time Series with Missing Data. - Óscar Escudero-Arnanz; Rosa Sicilia; Cristina Soguero-Ruíz; Inmaculada Mora-Jiménez; Diana Lelli; Claudio Pedone; Antonio G. Marques (CBMS, 2024)

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)

Pathologic Complete Response Prediction with Machine Learning Using Hierarchical Attention Feature Extraction. - Domenico Paolo; Ciro Russo; Giulio Russo; Carlo Greco; Alessio Cortellini; Marco Russano; Sara Ramella; Paolo Soda; Claudio Marrocco; Alessandro Bria; Rosa Sicilia (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)

Exploring Negated Entites for Named Entity Recognition in Italian Lung Cancer Clinical Reports. - Domenico Paolo; Alessandro Bria; Carlo Greco; Marco Russano; Sara Ramella; Paolo Soda; Rosa Sicilia (pHealth, 2024)

Translating Image XAI to Multivariate Time Series. - Lorenzo Tronchin; Ermanno Cordelli; Lorenzo Ricciardi Celsi; Daniele Maccagnola; Massimo Natale; Paolo Soda; Rosa Sicilia (IEEE Access, 2024)

Introduction to the special issue on IEEE CBMS 2022 mining healthcare: AI and machine learning for biomedicine. - Rosa Sicilia; Linlin Shen; Alejandro Rodríguez González; KC Santosh; Peter J. F. Lucas (Artif. Intell. Medicine, 2024)

Class balancing diversity multimodal ensemble for Alzheimer's disease diagnosis and early detection. - Arianna Francesconi; Lazzaro di Biase; Donato Cappetta; Fabio Rebecchi; Paolo Soda; Rosa Sicilia; Valerio Guarrasi (Comput. Medical Imaging Graph., 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)

Beyond the Generative Learning Trilemma: Generative Model Assessment in Data Scarcity Domains. - Marco Salmè; Lorenzo Tronchin; Rosa Sicilia; Paolo Soda; Valerio Guarrasi (CoRR, 2025)

Evaluating Vision Language Model Adaptations for Radiology Report Generation in Low-Resource Languages. - Marco Salmè; Rosa Sicilia; Paolo Soda; Valerio Guarrasi (CoRR, 2025)

Hierarchical embedding attention for overall survival prediction in lung cancer from unstructured EHRs. - Domenico Paolo; Carlo Greco; Alessio Cortellini; Sara Ramella; Paolo Soda; Alessandro Bria; Rosa Sicilia (BMC Medical Informatics Decis. Mak., 2025)