Valerio Guarrasi

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 25

Top Topics

Building Intelligent Systems

Chest Radiographs

Digital X Ray Images

Top Venues

Pattern Recognit.

Comput. Biol. Medicine

Publications

Valerio Guarrasi, Lorenzo Tronchin, Domenico Albano, Eliodoro Faiella, Deborah Fazzini, Domiziana Santucci, Paolo Soda
Multimodal explainability via latent shift applied to COVID-19 stratification. Pattern Recognit. 156 (2024)
Camillo Maria Caruso, Valerio Guarrasi, Sara Ramella, Paolo Soda
A deep learning approach for overall survival prediction in lung cancer with missing values. Comput. Methods Programs Biomed. 254 (2024)
Francesco Di Feola, Lorenzo Tronchin, Valerio Guarrasi, Paolo Soda
Multi-Scale Texture Loss for CT denoising with GANs. CoRR (2024)
Camillo Maria Caruso, Paolo Soda, Valerio Guarrasi
Not Another Imputation Method: A Transformer-based Model for Missing Values in Tabular Datasets. CoRR (2024)
Aurora Rofena, Valerio Guarrasi, Marina Sarli, Claudia Lucia Piccolo, Matteo Sammarra, Bruno Beomonte Zobel, Paolo Soda
A deep learning approach for virtual contrast enhancement in Contrast Enhanced Spectral Mammography. Comput. Medical Imaging Graph. 116 (2024)
Filippo Ruffini, Lorenzo Tronchin, Zhuoru Wu, Wenting Chen, Paolo Soda, Linlin Shen, Valerio Guarrasi
Multi-Dataset Multi-Task Learning for COVID-19 Prognosis. CoRR (2024)
Penghang Liu, Valerio Guarrasi, Ahmet Erdem Sariyüce
Temporal Network Motifs: Models, Limitations, Evaluation. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Valerio Guarrasi, Paolo Soda
Multi-objective optimization determines when, which and how to fuse deep networks: An application to predict COVID-19 outcomes. Comput. Biol. Medicine 154 (2023)
Camillo Maria Caruso, Valerio Guarrasi, Sara Ramella, Paolo Soda
A Deep Learning Approach for Overall Survival Prediction in Lung Cancer with Missing Values. CoRR (2023)
Francesco Conte, Ermanno Cordelli, Valerio Guarrasi, Giulio Iannello, Rosa Sicilia, Paolo Soda, Matteo Tortora
Sustainable AI: inside the deep, alongside the green. Ital-IA (2023)
Giulia Di Teodoro, Federico Siciliano, Valerio Guarrasi, Anne-Mieke Vandamme, Valeria Ghisetti, Anders Sönnerborg, Maurizio Zazzi, Fabrizio Silvestri, Laura Palagi
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1. CoRR (2023)
Ermanno Cordelli, Valerio Guarrasi, Giulio Iannello, Filippo Ruffini, Rosa Sicilia, Paolo Soda, Lorenzo Tronchin
Making AI trustworthy in multimodal and healthcare scenarios. Ital-IA (2023)
Aurora Rofena, Valerio Guarrasi, Marina Sarli, Claudia Lucia Piccolo, Matteo Sammarra, Bruno Beomonte Zobel, Paolo Soda
A Deep Learning Approach for Virtual Contrast Enhancement in Contrast Enhanced Spectral Mammography. CoRR (2023)
Valerio Guarrasi, Lorenzo Tronchin, Camillo Maria Caruso, Aurora Rofena, Guido Manni, Fatih Aksu, Domenico Paolo, Giulio Iannello, Rosa Sicilia, Ermanno Cordelli, Paolo Soda
Building an AI-Enabled Metaverse for Intelligent Healthcare: Opportunities and Challenges. Ital-IA (2023)
Valerio Guarrasi, Lorenzo Tronchin, Domenico Albano, Eliodoro Faiella, Deborah Fazzini, Domiziana Santucci, Paolo Soda
Multimodal Explainability via Latent Shift applied to COVID-19 stratification. CoRR (2022)
Valerio Guarrasi, Paolo Soda
Multi-objective optimization determines when, which and how to fuse deep networks: an application to predict COVID-19 outcomes. CoRR (2022)
Penghang Liu, Valerio Guarrasi, Ahmet Erdem Sariyüce
Temporal Network Motifs: Models, Limitations, Evaluation (Extended abstract). ICDE (2022)
Valerio Guarrasi, Paolo Soda
Optimized Fusion of CNNs to Diagnose Pulmonary Diseases on Chest X-Rays. ICIAP (1) (2022)
Valerio Guarrasi, Natascha Claudia D'Amico, Rosa Sicilia, Ermanno Cordelli, Paolo Soda
Pareto optimization of deep networks for COVID-19 diagnosis from chest X-rays. Pattern Recognit. 121 (2022)
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
A Multimodal Ensemble Driven by Multiobjective Optimisation to Predict Overall Survival in Non-Small-Cell Lung Cancer. J. Imaging 8 (11) (2022)
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
AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study. Medical Image Anal. 74 (2021)
Valerio Guarrasi, Natascha Claudia D'Amico, Rosa Sicilia, Ermanno Cordelli, Paolo Soda
A Multi-Expert System to Detect COVID-19 Cases in X-ray Images. CBMS (2021)
Giulia Fiscon, Francesco Salvadore, Valerio Guarrasi, Anna Rosa Garbuglia, Paola Paci
Assessing the impact of data-driven limitations on tracing and forecasting the outbreak dynamics of COVID-19. Comput. Biol. Medicine 135 (2021)
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
AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study. CoRR (2020)
Penghang Liu, Valerio Guarrasi, Ahmet Erdem Sariyüce
Temporal Network Motifs: Models, Limitations, Evaluation. CoRR (2020)