Valerio Guarrasi

86 papers A* 1A 2B 10Journal 61Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Systematic Benchmark of GAN Architectures for MRI-to-CT Synthesis. CoRR Alessandro Pesci, Valerio Guarrasi, Marco Alì, Isabella Castiglioni, Paolo Soda
2026	J	`jnl`	ACGM: Attribute-Centric Graph Modeling Network for Concurrent Missing Tabular Data Imputation and COVID-19 Prognosis. IEEE J. Biomed. Health Informatics 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
2026	J	`jnl`	Augmented intelligence for multimodal virtual biopsy in breast cancer using generative artificial intelligence. J. Biomed. Informatics Aurora Rofena, Claudia Lucia Piccolo, Bruno Beomonte Zobel, Paolo Soda, Valerio Guarrasi
2026	J	`jnl`	Benchmarking foundation models and parameter-efficient fine-tuning for prognosis prediction in medical imaging. Comput. Methods Programs Biomed. Filippo Ruffini, Elena Mulero Ayllon, Linlin Shen, Paolo Soda, Valerio Guarrasi
2026	J	`jnl`	Beyond a single mode: GAN ensembles for diverse medical data generation. Comput. Methods Programs Biomed. Lorenzo Tronchin, Tommy Löfstedt, Paolo Soda, Valerio Guarrasi
2026	J	`jnl`	Concept-Enhanced Multimodal RAG: Towards Interpretable and Accurate Radiology Report Generation. CoRR Marco Salmè, Federico Siciliano, Fabrizio Silvestri, Paolo Soda, Rosa Sicilia, Valerio Guarrasi
2026	J	`jnl`	Fairness-Aware Partial-label Domain Adaptation for Voice Classification of Parkinson's and ALS. CoRR Arianna Francesconi, Zhixiang Dai, Arthur Stefano Moscheni, Himesh Morgan Perera Kanattage, Donato Cappetta, Fabio Rebecchi, Paolo Soda, Valerio Guarrasi, Rosa Sicilia, Mary-Anne Hartley
2026	J	`jnl`	Handling Missing Modalities in Multimodal Survival Prediction for Non-Small Cell Lung Cancer. CoRR 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
2026	J	`jnl`	Learning from Limited and Incomplete Data: A Multimodal Framework for Predicting Pathological Response in NSCLC. CoRR 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
2026	J	`jnl`	Longitudinal NSCLC Treatment Progression via Multimodal Generative Models. CoRR 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
2026	J	`jnl`	Not another imputation method: A transformer-based model for missing values in tabular datasets. AI Open Camillo Maria Caruso, Paolo Soda, Valerio Guarrasi
2026	J	`jnl`	Retrieval-Augmented Anatomical Guidance for Text-to-CT Generation. CoRR Daniele Molino, Camillo Maria Caruso, Paolo Soda, Valerio Guarrasi
2026	J	`jnl`	XGeM: A multi-prompt foundation model for multimodal medical data generation. Comput. Medical Imaging Graph. Daniele Molino, Francesco Di Feola, Eliodoro Faiella, Deborah Fazzini, Domiziana Santucci, Linlin Shen, Valerio Guarrasi, Paolo Soda
2025	B	`ed.`	38th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2025, Madrid, Spain, June 18-20, 2025 CBMS Alejandro Rodríguez González, Rosa Sicilia, Lucía Prieto Santamaría, George A. Papadopoulos, Valerio Guarrasi, Mirela Teixeira Cazzolato, Bridget Kane
2025	J	`jnl`	A graph neural network-based model with out-of-distribution robustness for enhancing antiretroviral therapy outcome prediction for HIV-1. Comput. Medical Imaging Graph. Giulia Di Teodoro, Federico Siciliano, Valerio Guarrasi, Anne-Mieke Vandamme, Valeria Ghisetti, Anders Sönnerborg, Maurizio Zazzi, Fabrizio Silvestri, Laura Palagi
2025	J	`jnl`	A systematic review of intermediate fusion in multimodal deep learning for biomedical applications. Image Vis. Comput. Valerio Guarrasi, Fatih Aksu, Camillo Maria Caruso, Francesco Di Feola, Aurora Rofena, Filippo Ruffini, Paolo Soda
2025	A	`conf`	Advances in Medical Knowledge Systems: LLMs, RAG and Foundation Models. CIKM Giulia Di Teodoro, Valerio Guarrasi, Federico Siciliano, Fabrizio Silvestri
2025	J	`jnl`	An optimized ensemble search approach for classification of higher-level gait disorder using brain magnetic resonance images. Comput. Biol. Medicine Klara Mogensen, Valerio Guarrasi, Jenny Larsson, William Hansson, Anders Wåhlin, Lars-Owe Koskinen, Jan Malm, Anders Eklund, Paolo Soda, Sara Qvarlander
2025	B	`conf`	Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report Generation. IJCNN Daniele Molino, Francesco Di Feola, Linlin Shen, Paolo Soda, Valerio Guarrasi
2025	J	`jnl`	Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report Generation. CoRR Daniele Molino, Francesco Di Feola, Linlin Shen, Paolo Soda, Valerio Guarrasi
2025	J	`jnl`	Augmented Intelligence for Multimodal Virtual Biopsy in Breast Cancer Using Generative Artificial Intelligence. CoRR Aurora Rofena, Claudia Lucia Piccolo, Bruno Beomonte Zobel, Paolo Soda, Valerio Guarrasi
2025	J	`jnl`	Benchmarking Foundation Models and Parameter-Efficient Fine-Tuning for Prognosis Prediction in Medical Imaging. CoRR Filippo Ruffini, Elena Mulero Ayllon, Linlin Shen, Paolo Soda, Valerio Guarrasi
2025	J	`jnl`	Beyond a Single Mode: GAN Ensembles for Diverse Medical Data Generation. CoRR Lorenzo Tronchin, Tommy Löfstedt, Paolo Soda, Valerio Guarrasi
2025	J	`jnl`	Beyond the Generative Learning Trilemma: Generative Model Assessment in Data Scarcity Domains. CoRR Marco Salmè, Lorenzo Tronchin, Rosa Sicilia, Paolo Soda, Valerio Guarrasi
2025	J	`jnl`	Beyond unimodal analysis: Multimodal ensemble learning for enhanced assessment of atherosclerotic disease progression. Comput. Medical Imaging Graph. Valerio Guarrasi, Amanda Bertgren, Ulf Näslund, Patrik Wennberg, Paolo Soda, Christer Grönlund
2025	B	`conf`	Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging. CBMS Elena Mulero Ayllon, Massimiliano Mantegna, Linlin Shen, Paolo Soda, Valerio Guarrasi, Matteo Tortora
2025	J	`jnl`	Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging. CoRR Elena Mulero Ayllon, Massimiliano Mantegna, Linlin Shen, Paolo Soda, Valerio Guarrasi, Matteo Tortora
2025	J	`jnl`	Class balancing diversity multimodal ensemble for Alzheimer's disease diagnosis and early detection. Comput. Medical Imaging Graph. Arianna Francesconi, Lazzaro di Biase, Donato Cappetta, Fabio Rebecchi, Paolo Soda, Rosa Sicilia, Valerio Guarrasi
2025	J	`jnl`	Cross-dataset Multivariate Time-series Model for Parkinson's Diagnosis via Keyboard Dynamics. CoRR Arianna Francesconi, Donato Cappetta, Fabio Rebecchi, Paolo Soda, Valerio Guarrasi, Rosa Sicilia
2025	J	`jnl`	Doctor-in-the-Loop: An Explainable, Multi-View Deep Learning Framework for Predicting Pathological Response in Non-Small Cell Lung Cancer. CoRR Alice Natalina Caragliano, Filippo Ruffini, Carlo Greco, Edy Ippolito, Michele Fiore, Claudia Tacconi, Lorenzo Nibid, Giuseppe Perrone, Sara Ramella, Paolo Soda, Valerio Guarrasi
2025	J	`jnl`	Doctor-in-the-Loop: An explainable, multi-view deep learning framework for predicting pathological response in non-small cell lung cancer. Image Vis. Comput. Alice Natalina Caragliano, Filippo Ruffini, Carlo Greco, Edy Ippolito, Michele Fiore, Claudia Tacconi, Lorenzo Nibid, Giuseppe Perrone, Sara Ramella, Paolo Soda, Valerio Guarrasi
2025	B	`conf`	Evaluating Vision Language Model Adaptations for Radiology Report Generation in Low-Resource Languages. IJCNN Marco Salmè, Rosa Sicilia, Paolo Soda, Valerio Guarrasi
2025	J	`jnl`	Evaluating Vision Language Model Adaptations for Radiology Report Generation in Low-Resource Languages. CoRR Marco Salmè, Rosa Sicilia, Paolo Soda, Valerio Guarrasi
2025	B	`conf`	Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer. CBMS Aurora Rofena, Arianna Manchia, Claudia Lucia Piccolo, Bruno Beomonte Zobel, Paolo Soda, Valerio Guarrasi
2025	J	`jnl`	Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer. CoRR Aurora Rofena, Arianna Manchia, Claudia Lucia Piccolo, Bruno Beomonte Zobel, Paolo Soda, Valerio Guarrasi
2025	J	`jnl`	Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises. CoRR Afifa Khaled, Mohammed Sabir, Rizwan Qureshi, Camillo Maria Caruso, Valerio Guarrasi, Suncheng Xiang, S. Kevin Zhou
2025	J	`jnl`	MARIA: A multimodal transformer model for incomplete healthcare data. Comput. Biol. Medicine Camillo Maria Caruso, Paolo Soda, Valerio Guarrasi
2025	—	`conf`	Mask-Aware Transformers Enable Robust Learning from Incomplete Volumetric Medical Imaging. ICIAP (Workshops 1) Camillo Maria Caruso, Riccardo Bruni, Valerio Guarrasi
2025	J	`jnl`	MedCoDi-M: A Multi-Prompt Foundation Model for Multimodal Medical Data Generation. CoRR Daniele Molino, Francesco Di Feola, Eliodoro Faiella, Deborah Fazzini, Domiziana Santucci, Linlin Shen, Valerio Guarrasi, Paolo Soda
2025	—	`conf`	Medicine without boundaries: generative AI for translating medical data across modalities. Ital-IA 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
2025	J	`jnl`	Multi-scale texture loss for CT denoising with GANs. AI Open Francesco Di Feola, Lorenzo Tronchin, Valerio Guarrasi, Paolo Soda
2025	B	`conf`	Multimodal Doctor-in-the-Loop: A Clinically-Guided Explainable Framework for Predicting Pathological Response in Non-Small Cell Lung Cancer. IJCNN Alice Natalina Caragliano, Claudia Tacconi, Carlo Greco, Lorenzo Nibid, Edy Ippolito, Michele Fiore, Giuseppe Perrone, Sara Ramella, Paolo Soda, Valerio Guarrasi
2025	J	`jnl`	Multimodal Doctor-in-the-Loop: A Clinically-Guided Explainable Framework for Predicting Pathological Response in Non-Small Cell Lung Cancer. CoRR Alice Natalina Caragliano, Claudia Tacconi, Carlo Greco, Lorenzo Nibid, Edy Ippolito, Michele Fiore, Giuseppe Perrone, Sara Ramella, Paolo Soda, Valerio Guarrasi
2025	—	`conf`	Next-gen health: from multimodal AI to foundation models. Ital-IA 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
2025	—	`ed.`	Proceedings of the Workshop Design, Evaluation, and Deployment of Robust Recommender Systems (RobustRecSys 2024) co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024), Bari, Italy, October 18th, 2024. RobustRecSys@RecSys Valerio Guarrasi, Federico Siciliano, Fabrizio Silvestri
2025	J	`jnl`	Sample-Aware Test-Time Adaptation for Medical Image-to-Image Translation. CoRR Irene Iele, Francesco Di Feola, Valerio Guarrasi, Paolo Soda
2025	J	`jnl`	Text-to-CT Generation via 3D Latent Diffusion Model with Contrastive Vision-Language Pretraining. CoRR Daniele Molino, Camillo Maria Caruso, Filippo Ruffini, Paolo Soda, Valerio Guarrasi
2025	J	`jnl`	Texture-Aware StarGAN for CT data harmonisation. CoRR Francesco Di Feola, Ludovica Pompilio, Cecilia Assolito, Valerio Guarrasi, Paolo Soda
2025	B	`conf`	Texture-Aware StarGAN for CT data harmonization. IJCNN Francesco Di Feola, Ludovica Pompilio, Cecilia Assolito, Valerio Guarrasi, Paolo Soda
2025	B	`conf`	Timing Is Everything: Finding the Optimal Fusion Points in Multimodal Medical Imaging. IJCNN Valerio Guarrasi, Klara Mogensen, Sara Tassinari, Sara Qvarlander, Paolo Soda
2025	J	`jnl`	Timing Is Everything: Finding the Optimal Fusion Points in Multimodal Medical Imaging. CoRR Valerio Guarrasi, Klara Mogensen, Sara Tassinari, Sara Qvarlander, Paolo Soda
2025	—	`conf`	Towards a sustainable future: AI-powered solutions in agriculture and green energy. Ital-IA Matteo Tortora, Giulia Romoli, Valerio Guarrasi, Rosa Sicilia, Francesco Conte, Federico Silvestro, Paolo Soda
2025	B	`conf`	Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin. CBMS Valerio Guarrasi, Francesco Di Feola, Rebecca Restivo, Lorenzo Tronchin, Paolo Soda
2025	J	`jnl`	Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin. CoRR Valerio Guarrasi, Francesco Di Feola, Rebecca Restivo, Lorenzo Tronchin, Paolo Soda
2024	J	`jnl`	A Systematic Review of Intermediate Fusion in Multimodal Deep Learning for Biomedical Applications. CoRR Valerio Guarrasi, Fatih Aksu, Camillo Maria Caruso, Francesco Di Feola, Aurora Rofena, Filippo Ruffini, Paolo Soda
2024	J	`jnl`	A deep learning approach for overall survival prediction in lung cancer with missing values. Comput. Methods Programs Biomed. Camillo Maria Caruso, Valerio Guarrasi, Sara Ramella, Paolo Soda
2024	J	`jnl`	A deep learning approach for virtual contrast enhancement in Contrast Enhanced Spectral Mammography. Comput. Medical Imaging Graph. Aurora Rofena, Valerio Guarrasi, Marina Sarli, Claudia Lucia Piccolo, Matteo Sammarra, Bruno Beomonte Zobel, Paolo Soda
2024	J	`jnl`	Class Balancing Diversity Multimodal Ensemble for Alzheimer's Disease Diagnosis and Early Detection. CoRR Arianna Francesconi, Lazzaro di Biase, Donato Cappetta, Fabio Rebecchi, Paolo Soda, Rosa Sicilia, Valerio Guarrasi
2024	J	`jnl`	MARIA: a Multimodal Transformer Model for Incomplete Healthcare Data. CoRR Camillo Maria Caruso, Paolo Soda, Valerio Guarrasi
2024	—	`conf`	Multi-Dataset Multi-Task Learning for COVID-19 Prognosis. MICCAI (12) Filippo Ruffini, Lorenzo Tronchin, Zhuoru Wu, Wenting Chen, Paolo Soda, Linlin Shen, Valerio Guarrasi
2024	J	`jnl`	Multi-Dataset Multi-Task Learning for COVID-19 Prognosis. CoRR Filippo Ruffini, Lorenzo Tronchin, Zhuoru Wu, Wenting Chen, Paolo Soda, Linlin Shen, Valerio Guarrasi
2024	J	`jnl`	Multi-Scale Texture Loss for CT denoising with GANs. CoRR Francesco Di Feola, Lorenzo Tronchin, Valerio Guarrasi, Paolo Soda
2024	J	`jnl`	Multimodal explainability via latent shift applied to COVID-19 stratification. Pattern Recognit. Valerio Guarrasi, Lorenzo Tronchin, Domenico Albano, Eliodoro Faiella, Deborah Fazzini, Domiziana Santucci, Paolo Soda
2024	J	`jnl`	Not Another Imputation Method: A Transformer-based Model for Missing Values in Tabular Datasets. CoRR Camillo Maria Caruso, Paolo Soda, Valerio Guarrasi
2024	A	`conf`	RobustRecSys @ RecSys2024: Design, Evaluation and Deployment of Robust Recommender Systems. RecSys Valerio Guarrasi, Federico Siciliano, Fabrizio Silvestri
2024	—	`conf`	Towards AI-driven Next Generation Personalized Healthcare and Well-being. Ital-IA 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
2024	—	`conf`	Virtual Scanner: Leveraging Resilient Generative AI for Radiological Imaging in the Era of Medical Digital Twins. Ital-IA 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
2023	J	`jnl`	A Deep Learning Approach for Overall Survival Prediction in Lung Cancer with Missing Values. CoRR Camillo Maria Caruso, Valerio Guarrasi, Sara Ramella, Paolo Soda
2023	J	`jnl`	A Deep Learning Approach for Virtual Contrast Enhancement in Contrast Enhanced Spectral Mammography. CoRR Aurora Rofena, Valerio Guarrasi, Marina Sarli, Claudia Lucia Piccolo, Matteo Sammarra, Bruno Beomonte Zobel, Paolo Soda
2023	J	`jnl`	A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1. CoRR Giulia Di Teodoro, Federico Siciliano, Valerio Guarrasi, Anne-Mieke Vandamme, Valeria Ghisetti, Anders Sönnerborg, Maurizio Zazzi, Fabrizio Silvestri, Laura Palagi
2023	—	`conf`	Building an AI-Enabled Metaverse for Intelligent Healthcare: Opportunities and Challenges. Ital-IA Valerio Guarrasi, Lorenzo Tronchin, Camillo Maria Caruso, Aurora Rofena, Guido Manni, Fatih Aksu, Domenico Paolo, Giulio Iannello, Rosa Sicilia, Ermanno Cordelli, Paolo Soda
2023	—	`conf`	Making AI trustworthy in multimodal and healthcare scenarios. Ital-IA Ermanno Cordelli, Valerio Guarrasi, Giulio Iannello, Filippo Ruffini, Rosa Sicilia, Paolo Soda, Lorenzo Tronchin
2023	J	`jnl`	Multi-objective optimization determines when, which and how to fuse deep networks: An application to predict COVID-19 outcomes. Comput. Biol. Medicine Valerio Guarrasi, Paolo Soda
2023	—	`conf`	Sustainable AI: inside the deep, alongside the green. Ital-IA Francesco Conte, Ermanno Cordelli, Valerio Guarrasi, Giulio Iannello, Rosa Sicilia, Paolo Soda, Matteo Tortora
2023	J	`jnl`	Temporal Network Motifs: Models, Limitations, Evaluation. IEEE Trans. Knowl. Data Eng. Penghang Liu, Valerio Guarrasi, Ahmet Erdem Sariyüce
2022	J	`jnl`	A Multimodal Ensemble Driven by Multiobjective Optimisation to Predict Overall Survival in Non-Small-Cell Lung Cancer. J. Imaging 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
2022	J	`jnl`	Multi-objective optimization determines when, which and how to fuse deep networks: an application to predict COVID-19 outcomes. CoRR Valerio Guarrasi, Paolo Soda
2022	J	`jnl`	Multimodal Explainability via Latent Shift applied to COVID-19 stratification. CoRR Valerio Guarrasi, Lorenzo Tronchin, Domenico Albano, Eliodoro Faiella, Deborah Fazzini, Domiziana Santucci, Paolo Soda
2022	—	`conf`	Optimized Fusion of CNNs to Diagnose Pulmonary Diseases on Chest X-Rays. ICIAP (1) Valerio Guarrasi, Paolo Soda
2022	J	`jnl`	Pareto optimization of deep networks for COVID-19 diagnosis from chest X-rays. Pattern Recognit. Valerio Guarrasi, Natascha Claudia D'Amico, Rosa Sicilia, Ermanno Cordelli, Paolo Soda
2022	A*	`conf`	Temporal Network Motifs: Models, Limitations, Evaluation (Extended abstract). ICDE Penghang Liu, Valerio Guarrasi, Ahmet Erdem Sariyüce
2021	B	`conf`	A Multi-Expert System to Detect COVID-19 Cases in X-ray Images. CBMS Valerio Guarrasi, Natascha Claudia D'Amico, Rosa Sicilia, Ermanno Cordelli, Paolo Soda
2021	J	`jnl`	AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study. Medical Image Anal. 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
2021	J	`jnl`	Assessing the impact of data-driven limitations on tracing and forecasting the outbreak dynamics of COVID-19. Comput. Biol. Medicine Giulia Fiscon, Francesco Salvadore, Valerio Guarrasi, Anna Rosa Garbuglia, Paola Paci
2020	J	`jnl`	AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study. CoRR 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
2020	J	`jnl`	Temporal Network Motifs: Models, Limitations, Evaluation. CoRR Penghang Liu, Valerio Guarrasi, Ahmet Erdem Sariyüce