Valerio Guarrasi

According to our database, Valerio Guarrasi authored at least 17 papers between 2021 and 2024.

Collaborative distances:

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

2024

Multi-Scale Texture Loss for CT denoising with GANs.

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

CoRR, 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

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

CoRR, 2023

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

CoRR, 2023

A Deep Learning Approach for Overall Survival Prediction in Lung Cancer with Missing Values.

Camillo Maria Caruso, Valerio Guarrasi, Sara Ramella, Paolo Soda

CoRR, 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

Multimodal Explainability via Latent Shift applied to COVID-19 stratification.

Valerio Guarrasi, Lorenzo Tronchin, Domenico Albano, Eliodoro Faiella, Deborah Fazzini, Domiziana Santucci, Paolo Soda

CoRR, 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