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)

Assessing the impact of data-driven limitations on tracing and forecasting the outbreak dynamics of COVID-19. - Giulia Fiscon; Francesco Salvadore; Valerio Guarrasi; Anna Rosa Garbuglia; Paola Paci (Comput. Biol. Medicine, 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)

Temporal Network Motifs: Models, Limitations, Evaluation (Extended abstract). - Penghang Liu; Valerio Guarrasi; Ahmet Erdem Sariyüce (ICDE, 2022)

Optimized Fusion of CNNs to Diagnose Pulmonary Diseases on Chest X-Rays. - Valerio Guarrasi; Paolo Soda (ICIAP (1), 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)

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)

Temporal Network Motifs: Models, Limitations, Evaluation. - Penghang Liu; Valerio Guarrasi; Ahmet Erdem Sariyüce (IEEE Trans. Knowl. Data Eng., 2023)

Multi-objective optimization determines when, which and how to fuse deep networks: An application to predict COVID-19 outcomes. - Valerio Guarrasi; Paolo Soda (Comput. Biol. Medicine, 2023)

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)

Multi-Dataset Multi-Task Learning for COVID-19 Prognosis. - Filippo Ruffini; Lorenzo Tronchin; Zhuoru Wu; Wenting Chen; Paolo Soda; Linlin Shen; Valerio Guarrasi (MICCAI (12), 2024)

RobustRecSys @ RecSys2024: Design, Evaluation and Deployment of Robust Recommender Systems. - Valerio Guarrasi; Federico Siciliano; Fabrizio Silvestri (RecSys, 2024)

A deep learning approach for virtual contrast enhancement in Contrast Enhanced Spectral Mammography. - Aurora Rofena; Valerio Guarrasi; Marina Sarli; Claudia Lucia Piccolo; Matteo Sammarra; Bruno Beomonte Zobel; Paolo Soda (Comput. Medical Imaging Graph., 2024)

A deep learning approach for overall survival prediction in lung cancer with missing values. - Camillo Maria Caruso; Valerio Guarrasi; Sara Ramella; Paolo Soda (Comput. Methods Programs Biomed., 2024)

Multi-Scale Texture Loss for CT denoising with GANs. - Francesco Di Feola; Lorenzo Tronchin; Valerio Guarrasi; Paolo Soda (CoRR, 2024)

Not Another Imputation Method: A Transformer-based Model for Missing Values in Tabular Datasets. - Camillo Maria Caruso; Paolo Soda; Valerio Guarrasi (CoRR, 2024)

Multimodal explainability via latent shift applied to COVID-19 stratification. - Valerio Guarrasi; Lorenzo Tronchin; Domenico Albano; Eliodoro Faiella; Deborah Fazzini; Domiziana Santucci; Paolo Soda (Pattern Recognit., 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)

Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin. - Valerio Guarrasi; Francesco Di Feola; Rebecca Restivo; Lorenzo Tronchin; Paolo Soda (CBMS, 2025)

Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer. - Aurora Rofena; Arianna Manchia; Claudia Lucia Piccolo; Bruno Beomonte Zobel; Paolo Soda; Valerio Guarrasi (CBMS, 2025)

MARIA: A multimodal transformer model for incomplete healthcare data. - Camillo Maria Caruso; Paolo Soda; Valerio Guarrasi (Comput. Biol. Medicine, 2025)

An optimized ensemble search approach for classification of higher-level gait disorder using brain magnetic resonance images. - Klara Mogensen; Valerio Guarrasi; Jenny Larsson; William Hansson; Anders Wåhlin; Lars-Owe Koskinen; Jan Malm; Anders Eklund 001; Paolo Soda; Sara Qvarlander (Comput. Biol. Medicine, 2025)

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)

Beyond unimodal analysis: Multimodal ensemble learning for enhanced assessment of atherosclerotic disease progression. - Valerio Guarrasi; Amanda Bertgren; Ulf Näslund; Patrik Wennberg; Paolo Soda; Christer Grönlund (Comput. Medical Imaging Graph., 2025)

A graph neural network-based model with out-of-distribution robustness for enhancing antiretroviral therapy outcome prediction for HIV-1. - Giulia Di Teodoro; Federico Siciliano; Valerio Guarrasi; Anne-Mieke Vandamme; Valeria Ghisetti; Anders Sönnerborg; Maurizio Zazzi; Fabrizio Silvestri; Laura Palagi (Comput. Medical Imaging Graph., 2025)

Doctor-in-the-Loop: An explainable, multi-view deep learning framework for predicting pathological response in non-small cell lung cancer. - Alice Natalina Caragliano; Filippo Ruffini; Carlo Greco; Edy Ippolito; Michele Fiore; Claudia Tacconi; Lorenzo Nibid; Giuseppe Perrone; Sara Ramella; Paolo Soda; Valerio Guarrasi (Image Vis. Comput., 2025)

A systematic review of intermediate fusion in multimodal deep learning for biomedical applications. - Valerio Guarrasi; Fatih Aksu; Camillo Maria Caruso; Francesco Di Feola; Aurora Rofena; Filippo Ruffini; Paolo Soda (Image Vis. Comput., 2025)

MedCoDi-M: A Multi-Prompt Foundation Model for Multimodal Medical Data Generation. - Daniele Molino; Francesco Di Feola; Eliodoro Faiella; Deborah Fazzini; Domiziana Santucci; Linlin Shen; Valerio Guarrasi; Paolo Soda (CoRR, 2025)

Augmented Intelligence for Multimodal Virtual Biopsy in Breast Cancer Using Generative Artificial Intelligence. - Aurora Rofena; Claudia Lucia Piccolo; Bruno Beomonte Zobel; Paolo Soda; Valerio Guarrasi (CoRR, 2025)

Texture-Aware StarGAN for CT data harmonisation. - Francesco Di Feola; Ludovica Pompilio; Cecilia Assolito; Valerio Guarrasi; Paolo Soda (CoRR, 2025)

Beyond a Single Mode: GAN Ensembles for Diverse Medical Data Generation. - Lorenzo Tronchin; Tommy Löfstedt; Paolo Soda; Valerio Guarrasi (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)

Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report Generation. - Daniele Molino; Francesco Di Feola; Linlin Shen; 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)

Multimodal Doctor-in-the-Loop: A Clinically-Guided Explainable Framework for Predicting Pathological Response in Non-Small Cell Lung Cancer. - Alice Natalina Caragliano; Claudia Tacconi; Carlo Greco; Lorenzo Nibid; Edy Ippolito; Michele Fiore; Giuseppe Perrone; Sara Ramella; Paolo Soda; Valerio Guarrasi (CoRR, 2025)

Timing Is Everything: Finding the Optimal Fusion Points in Multimodal Medical Imaging. - Valerio Guarrasi; Klara Mogensen; Sara Tassinari; Sara Qvarlander; Paolo Soda (CoRR, 2025)

Text-to-CT Generation via 3D Latent Diffusion Model with Contrastive Vision-Language Pretraining. - Daniele Molino; Camillo Maria Caruso; Filippo Ruffini; Paolo Soda; Valerio Guarrasi (CoRR, 2025)

Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises. - Afifa Khaled; Mohammed Sabir; Rizwan Qureshi; Camillo Maria Caruso; Valerio Guarrasi; Suncheng Xiang; S. Kevin Zhou (CoRR, 2025)

Benchmarking Foundation Models and Parameter-Efficient Fine-Tuning for Prognosis Prediction in Medical Imaging. - Filippo Ruffini; Elena Mulero Ayllon; Linlin Shen; Paolo Soda; Valerio Guarrasi (CoRR, 2025)