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ORCIDValerio Guarrasi
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2020 – today
- 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) - [c10]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:
Virtual Scanner: Leveraging Resilient Generative AI for Radiological Imaging in the Era of Medical Digital Twins. Ital-IA 2024: 60-65 - [c9]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:
Towards AI-driven Next Generation Personalized Healthcare and Well-being. Ital-IA 2024: 360-365 - [c8]Filippo Ruffini, Lorenzo Tronchin, Zhuoru Wu, Wenting Chen, Paolo Soda, Linlin Shen, Valerio Guarrasi:
Multi-Dataset Multi-Task Learning for COVID-19 Prognosis. MICCAI (12) 2024: 251-261 - [c7]Valerio Guarrasi, Federico Siciliano, Fabrizio Silvestri:
RobustRecSys @ RecSys2024: Design, Evaluation and Deployment of Robust Recommender Systems. RecSys 2024: 1265-1269 - [i11]Francesco Di Feola, Lorenzo Tronchin, Valerio Guarrasi, Paolo Soda:
Multi-Scale Texture Loss for CT denoising with GANs. CoRR abs/2403.16640 (2024) - [i10]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) - [i9]Camillo Maria Caruso, Paolo Soda, Valerio Guarrasi:
Not Another Imputation Method: A Transformer-based Model for Missing Values in Tabular Datasets. CoRR abs/2407.11540 (2024) - [i8]Valerio Guarrasi, Fatih Aksu, Camillo Maria Caruso, Francesco Di Feola, Aurora Rofena, Filippo Ruffini, Paolo Soda:
A Systematic Review of Intermediate Fusion in Multimodal Deep Learning for Biomedical Applications. CoRR abs/2408.02686 (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) - [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 - [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
- [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) - [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 - [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) - 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) - [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 - 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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