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Valerio Guarrasi
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Journal Articles
- 2024
- [j9]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: 102398 (2024) - [j8]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: 108308 (2024) - [j7]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: 110825 (2024) - 2023
- [j6]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: 106625 (2023) - [j5]Penghang Liu
, Valerio Guarrasi
, Ahmet Erdem Sariyüce
:
Temporal Network Motifs: Models, Limitations, Evaluation. IEEE Trans. Knowl. Data Eng. 35(1): 945-957 (2023) - 2022
- [j4]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): 298 (2022) - [j3]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: 108242 (2022) - 2021
- [j2]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: 104657 (2021) - [j1]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: 102216 (2021)
Conference and Workshop Papers
- 2023
- [c6]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: 134-139 - [c5]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: 353-358 - [c4]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: 622-627 - 2022
- [c3]Penghang Liu, Valerio Guarrasi, Ahmet Erdem Sariyüce:
Temporal Network Motifs: Models, Limitations, Evaluation (Extended abstract). ICDE 2022: 1531-1532 - [c2]Valerio Guarrasi, Paolo Soda:
Optimized Fusion of CNNs to Diagnose Pulmonary Diseases on Chest X-Rays. ICIAP (1) 2022: 197-209 - 2021
- [c1]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: 395-400
Informal and Other Publications
- 2024
- [i9]Francesco Di Feola, Lorenzo Tronchin, Valerio Guarrasi, Paolo Soda:
Multi-Scale Texture Loss for CT denoising with GANs. CoRR abs/2403.16640 (2024) - [i8]Filippo Ruffini, Lorenzo Tronchin, Zhuoru Wu, Wenting Chen, Paolo Soda, Linlin Shen, Valerio Guarrasi:
Multi-Dataset Multi-Task Learning for COVID-19 Prognosis. CoRR abs/2405.13771 (2024) - 2023
- [i7]Camillo Maria Caruso, Valerio Guarrasi, Sara Ramella, Paolo Soda:
A Deep Learning Approach for Overall Survival Prediction in Lung Cancer with Missing Values. CoRR abs/2307.11465 (2023) - [i6]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 abs/2308.00471 (2023) - [i5]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 abs/2312.17506 (2023) - 2022
- [i4]Valerio Guarrasi, Paolo Soda:
Multi-objective optimization determines when, which and how to fuse deep networks: an application to predict COVID-19 outcomes. CoRR abs/2204.03772 (2022) - [i3]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 abs/2212.14084 (2022) - 2020
- [i2]Penghang Liu, Valerio Guarrasi, Ahmet Erdem Sariyüce:
Temporal Network Motifs: Models, Limitations, Evaluation. CoRR abs/2005.11817 (2020) - [i1]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 abs/2012.06531 (2020)
Coauthor Index
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