Valerio Guarrasi

According to our database, Valerio Guarrasi authored at least 64 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Cross Modality Image Translation In Medical Imaging Using Generative Frameworks.

Giulia Romoli, Alessia Capoccia, Filippo Ruffini, Francesco Di Feola, Luca Boldrini, Arturo Chiti, Renato Cuocolo, Tugba Akinci D'Antonoli, Fatemeh Darvizeh, Marcello Di Pumpo, Bradley J. Erickson, Liu Fang, Deborah Fazzini, Paola Feraco, Fabrizia Gelardi, Francesco Gossetti, Ana Isabel Hernáiz Ferrer, Michail E. Klontzas, Seyedmehdi Payabvash, Katrine Riklund, Sara N. Strandberg, Valerio Guarrasi, Paolo Soda

CoRR, May, 2026

Resilient Vision-Tabular Multimodal Learning under Modality Missingness.

Camillo Maria Caruso, Valerio Guarrasi, Paolo Soda

CoRR, May, 2026

Multimodal Stepwise Clinically-Guided Attention Learning for Pathological Complete Response Prediction in Breast Cancer.

Alice Natalina Caragliano, Valerio Guarrasi, Michela Gravina, Carlo Sansone, Paolo Soda

CoRR, May, 2026

Virtual Scanning for NSCLC Histology: Investigating the Discriminatory Power of Synthetic PET.

Fatih Aksu, Laura Ciuffetti, Francesco Di Feola, Filippo Ruffini, Giulia Romoli, Fabrizia Gelardi, Arturo Chiti, Valerio Guarrasi, Paolo Soda

CoRR, May, 2026

ACGM: Attribute-Centric Graph Modeling Network for Concurrent Missing Tabular Data Imputation and COVID-19 Prognosis.

Zhuoru Wu, Wenting Chen, Xuechen Li, Filippo Ruffini, Shaonan Liu, Lorenzo Tronchin, Domenico Albano, Eliodoro Faiella, Deborah Fazzini, Domiziana Santucci, Xiaoling Luo, Valerio Guarrasi, Paolo Soda, Linlin Shen

IEEE J. Biomed. Health Informatics, April, 2026

Learning from Limited and Incomplete Data: A Multimodal Framework for Predicting Pathological Response in NSCLC.

Alice Natalina Caragliano, Giulia Farina, Fatih Aksu, Camillo Maria Caruso, Claudia Tacconi, Carlo Greco, Lorenzo Nibid, Edy Ippolito, Michele Fiore, Giuseppe Perrone, Sara Ramella, Paolo Soda, Valerio Guarrasi

CoRR, March, 2026

A Systematic Benchmark of GAN Architectures for MRI-to-CT Synthesis.

Alessandro Pesci, Valerio Guarrasi, Marco Alì, Isabella Castiglioni, Paolo Soda

CoRR, March, 2026

Retrieval-Augmented Anatomical Guidance for Text-to-CT Generation.

Daniele Molino, Camillo Maria Caruso, Paolo Soda, Valerio Guarrasi

CoRR, March, 2026

Longitudinal NSCLC Treatment Progression via Multimodal Generative Models.

Massimiliano Mantegna, Elena Mulero Ayllon, Alice Natalina Caragliano, Francesco Di Feola, Claudia Tacconi, Michele Fiore, Edy Ippolito, Carlo Greco, Sara Ramella, Philippe C. Cattin, Paolo Soda, Matteo Tortora, Valerio Guarrasi

CoRR, March, 2026

Fairness-Aware Partial-label Domain Adaptation for Voice Classification of Parkinson's and ALS.

Arianna Francesconi, Zhixiang Dai, Arthur Stefano Moscheni, Himesh Morgan Perera Kanattage, Donato Cappetta, Fabio Rebecchi, Paolo Soda, Valerio Guarrasi, Rosa Sicilia, Mary-Anne Hartley

CoRR, February, 2026

Concept-Enhanced Multimodal RAG: Towards Interpretable and Accurate Radiology Report Generation.

Marco Salmè, Federico Siciliano, Fabrizio Silvestri, Paolo Soda, Rosa Sicilia, Valerio Guarrasi

CoRR, February, 2026

Handling Missing Modalities in Multimodal Survival Prediction for Non-Small Cell Lung Cancer.

Filippo Ruffini, Camillo Maria Caruso, Claudia Tacconi, Lorenzo Nibid, Francesca Miccolis, Marta Lovino, Carlo Greco, Edy Ippolito, Michele Fiore, Alessio Cortellini, Bruno Beomonte Zobel, Giuseppe Perrone, Bruno Vincenzi, Claudio Marrocco, Alessandro Bria, Elisa Ficarra, Sara Ramella, Valerio Guarrasi, Paolo Soda

CoRR, January, 2026

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

J. Biomed. Informatics, 2026

Beyond a single mode: GAN ensembles for diverse medical data generation.

Lorenzo Tronchin, Tommy Löfstedt, Paolo Soda, Valerio Guarrasi

Comput. Methods Programs Biomed., 2026

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

Comput. Methods Programs Biomed., 2026

XGeM: 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

Comput. Medical Imaging Graph., 2026

Not another imputation method: A transformer-based model for missing values in tabular datasets.

Camillo Maria Caruso, Paolo Soda, Valerio Guarrasi

AI Open, 2026

2025

Sample-Aware Test-Time Adaptation for Medical Image-to-Image Translation.

Irene Iele, Francesco Di Feola, Valerio Guarrasi, Paolo Soda

CoRR, August, 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, June, 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, June, 2025

Beyond the Generative Learning Trilemma: Generative Model Assessment in Data Scarcity Domains.

Marco Salmè, Lorenzo Tronchin, Rosa Sicilia, Paolo Soda, Valerio Guarrasi

CoRR, April, 2025

Texture-Aware StarGAN for CT data harmonisation.

Francesco Di Feola, Ludovica Pompilio, Cecilia Assolito, Valerio Guarrasi, Paolo Soda

CoRR, March, 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, January, 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

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 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

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

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

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, Paolo Soda, Sara Qvarlander

Comput. Biol. Medicine, 2025

MARIA: A multimodal transformer model for incomplete healthcare data.

Camillo Maria Caruso, Paolo Soda, Valerio Guarrasi

Comput. Biol. Medicine, 2025

Multi-scale texture loss for CT denoising with GANs.

Francesco Di Feola, Lorenzo Tronchin, Valerio Guarrasi, Paolo Soda

AI Open, 2025

Towards a sustainable future: AI-powered solutions in agriculture and green energy.

Matteo Tortora, Giulia Romoli, Valerio Guarrasi, Rosa Sicilia, Francesco Conte, Federico Silvestro, Paolo Soda

Proceedings of the Joint Proceedings of the Thematic Workshops at Ital-IA 2025 colocated with the 5th National Conference on Artificial Intelligence, 2025

Next-gen health: from multimodal AI to foundation models.

Rosa Sicilia, Fatih Aksu, Alessandro Bria, Alice Natalina Caragliano, Camillo Maria Caruso, Ermanno Cordelli, Arianna Francesconi, Valerio Guarrasi, Giulio Iannello, Guido Manni, Massimiliano Mantegna, Giustino Marino, Daniele Molino, Elena Mulero Ayllon, Filippo Ruffini, Linlin Shen, Matteo Tortora, Paolo Soda

Proceedings of the Joint Proceedings of the Thematic Workshops at Ital-IA 2025 colocated with the 5th National Conference on Artificial Intelligence, 2025

Medicine without boundaries: generative AI for translating medical data across modalities.

Valerio Guarrasi, Francesco Di Feola, Giulio Ianello, Irene Iele, Linlin Shen, Massimiliano Mantegna, Daniele Molino, Elena Mulero Ayllon, Ludovica Pompilio, Aurora Rofena, Marco Salmè, Rosa Sicilia, Matteo Tortora, Paolo Soda

Proceedings of the Joint Proceedings of the Thematic Workshops at Ital-IA 2025 colocated with the 5th National Conference on Artificial Intelligence, 2025

Evaluating Vision Language Model Adaptations for Radiology Report Generation in Low-Resource Languages.

Marco Salmè, Rosa Sicilia, Paolo Soda, Valerio Guarrasi

Proceedings of the International Joint Conference on Neural Networks, 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

Proceedings of the International Joint Conference on Neural Networks, 2025

Timing Is Everything: Finding the Optimal Fusion Points in Multimodal Medical Imaging.

Valerio Guarrasi, Klara Mogensen, Sara Tassinari, Sara Qvarlander, Paolo Soda

Proceedings of the International Joint Conference on Neural Networks, 2025

Texture-Aware StarGAN for CT data harmonization.

Francesco Di Feola, Ludovica Pompilio, Cecilia Assolito, Valerio Guarrasi, Paolo Soda

Proceedings of the International Joint Conference on Neural Networks, 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

Proceedings of the International Joint Conference on Neural Networks, 2025

Mask-Aware Transformers Enable Robust Learning from Incomplete Volumetric Medical Imaging.

Camillo Maria Caruso, Riccardo Bruni, Valerio Guarrasi

Proceedings of the Image Analysis and Processing - ICIAP 2025 Workshops, 2025

Advances in Medical Knowledge Systems: LLMs, RAG and Foundation Models.

Giulia Di Teodoro, Valerio Guarrasi, Federico Siciliano, Fabrizio Silvestri

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 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

Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems, 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

Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems, 2025

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

Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems, 2025

Cross-Dataset Multivariate Time-Series Model for Parkinson's Diagnosis via Keyboard Dynamics.

Arianna Francesconi, Donato Cappetta, Fabio Rebecchi, Paolo Soda, Valerio Guarrasi, Rosa Sicilia

Proceedings of the Artificial Intelligence for Biomedical Data, 2025

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

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

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

RobustRecSys @ RecSys2024: Design, Evaluation and Deployment of Robust Recommender Systems.

Valerio Guarrasi, Federico Siciliano, Fabrizio Silvestri

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Multi-Dataset Multi-Task Learning for COVID-19 Prognosis.

Filippo Ruffini, Lorenzo Tronchin, Zhuoru Wu, Wenting Chen, Paolo Soda, Linlin Shen, Valerio Guarrasi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 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, Guido Manni, Giustino Marino, Domenico Paolo, Filippo Ruffini, Linlin Shen, Rosa Sicilia, Paolo Soda, Christian Tamantini, Matteo Tortora, Zhuoru Wu, Loredana Zollo

Proceedings of the Ital-IA Intelligenza Artificiale, 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, Matteo Tortora, Lorenzo Tronchin

Proceedings of the Ital-IA Intelligenza Artificiale, 2024

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, March, 2023

Temporal Network Motifs: Models, Limitations, Evaluation.

Penghang Liu, Valerio Guarrasi, Ahmet Erdem Sariyüce

IEEE Trans. Knowl. Data Eng., 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

Proceedings of the Italia Intelligenza Artificiale, 2023

Making AI trustworthy in multimodal and healthcare scenarios.

Ermanno Cordelli, Valerio Guarrasi, Giulio Iannello, Filippo Ruffini, Rosa Sicilia, Paolo Soda, Lorenzo Tronchin

Proceedings of the Italia Intelligenza Artificiale, 2023

Sustainable AI: inside the deep, alongside the green.

Francesco Conte, Ermanno Cordelli, Valerio Guarrasi, Giulio Iannello, Rosa Sicilia, Paolo Soda, Matteo Tortora

Proceedings of the Italia Intelligenza Artificiale, 2023

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

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

Optimized Fusion of CNNs to Diagnose Pulmonary Diseases on Chest X-Rays.

Valerio Guarrasi, Paolo Soda

Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

Temporal Network Motifs: Models, Limitations, Evaluation (Extended abstract).

Penghang Liu, Valerio Guarrasi, Ahmet Erdem Sariyüce

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

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, Giovanni Callea, Silvia Panella, Maurizio Cariati, Diletta Cozzi, Vittorio Miele, Elvira Stellato, Gianpaolo Carrafiello, Giulia Castorani, Annalisa Simeone, Lorenzo Preda, Giulio Iannello, Alessio Del Bue, Fabio Tedoldi, Marco Alì, Diego Sona, Sergio Papa

Medical Image Anal., 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

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

Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021