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2020 – today
- 2026
[j22]Camillo Maria Caruso
, Paolo Soda, Valerio Guarrasi:
Not another imputation method: A transformer-based model for missing values in tabular datasets. AI Open 7: 96-122 (2026)- [j21]Daniele Molino, Francesco Di Feola, Eliodoro Faiella, Deborah Fazzini, Domiziana Santucci, Linlin Shen, Valerio Guarrasi, Paolo Soda:
XGeM: A multi-prompt foundation model for multimodal medical data generation. Comput. Medical Imaging Graph. 128: 102718 (2026) - [j20]Filippo Ruffini, Elena Mulero Ayllon, Linlin Shen, Paolo Soda, Valerio Guarrasi:
Benchmarking foundation models and parameter-efficient fine-tuning for prognosis prediction in medical imaging. Comput. Methods Programs Biomed. 275: 109196 (2026) - [j19]Lorenzo Tronchin, Tommy Löfstedt, Paolo Soda, Valerio Guarrasi:
Beyond a single mode: GAN ensembles for diverse medical data generation. Comput. Methods Programs Biomed. 277: 109234 (2026) - [j18]Aurora Rofena, Claudia Lucia Piccolo, Bruno Beomonte Zobel, Paolo Soda, Valerio Guarrasi:
Augmented intelligence for multimodal virtual biopsy in breast cancer using generative artificial intelligence. J. Biomed. Informatics 174: 104971 (2026) - [i38]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:
Handling Missing Modalities in Multimodal Survival Prediction for Non-Small Cell Lung Cancer. CoRR abs/2601.10386 (2026) - [i37]Marco Salmè, Federico Siciliano, Fabrizio Silvestri, Paolo Soda, Rosa Sicilia, Valerio Guarrasi:
Concept-Enhanced Multimodal RAG: Towards Interpretable and Accurate Radiology Report Generation. CoRR abs/2602.15650 (2026) - [i36]Arianna Francesconi, Zhixiang Dai, Arthur Stefano Moscheni, Himesh Morgan Perera Kanattage, Donato Cappetta, Fabio Rebecchi, Paolo Soda, Valerio Guarrasi, Rosa Sicilia, Mary-Anne Hartley:
Fairness-Aware Partial-label Domain Adaptation for Voice Classification of Parkinson's and ALS. CoRR abs/2602.18535 (2026) - [i35]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:
Longitudinal NSCLC Treatment Progression via Multimodal Generative Models. CoRR abs/2603.06147 (2026) - [i34]Daniele Molino, Camillo Maria Caruso, Paolo Soda, Valerio Guarrasi:
Retrieval-Augmented Anatomical Guidance for Text-to-CT Generation. CoRR abs/2603.08305 (2026) - [i33]Alessandro Pesci, Valerio Guarrasi, Marco Alì, Isabella Castiglioni, Paolo Soda:
A Systematic Benchmark of GAN Architectures for MRI-to-CT Synthesis. CoRR abs/2603.13520 (2026) - [i32]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:
Learning from Limited and Incomplete Data: A Multimodal Framework for Predicting Pathological Response in NSCLC. CoRR abs/2603.15100 (2026) - 2025
- [j17]Francesco Di Feola, Lorenzo Tronchin, Valerio Guarrasi, Paolo Soda:
Multi-scale texture loss for CT denoising with GANs. AI Open 6: 142-154 (2025) - [j16]Klara Mogensen, Valerio Guarrasi, Jenny Larsson, William Hansson, Anders Wåhlin, Lars-Owe Koskinen, Jan Malm, Anders Eklund, Paolo Soda, Sara Qvarlander:
An optimized ensemble search approach for classification of higher-level gait disorder using brain magnetic resonance images. Comput. Biol. Medicine 184: 109457 (2025) - [j15]Camillo Maria Caruso, Paolo Soda, Valerio Guarrasi:
MARIA: A multimodal transformer model for incomplete healthcare data. Comput. Biol. Medicine 196: 110843 (2025) - [j14]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. Comput. Medical Imaging Graph. 120: 102484 (2025) - [j13]Arianna Francesconi, Lazzaro di Biase, Donato Cappetta, Fabio Rebecchi, Paolo Soda, Rosa Sicilia, Valerio Guarrasi:
Class balancing diversity multimodal ensemble for Alzheimer's disease diagnosis and early detection. Comput. Medical Imaging Graph. 123: 102529 (2025) - [j12]Valerio Guarrasi, Amanda Bertgren, Ulf Näslund, Patrik Wennberg, Paolo Soda, Christer Grönlund:
Beyond unimodal analysis: Multimodal ensemble learning for enhanced assessment of atherosclerotic disease progression. Comput. Medical Imaging Graph. 124: 102617 (2025) - [j11]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. Image Vis. Comput. 158: 105509 (2025) - [j10]Alice Natalina Caragliano, Filippo Ruffini, Carlo Greco, Edy Ippolito, Michele Fiore, Claudia Tacconi, Lorenzo Nibid, Giuseppe Perrone, Sara Ramella, Paolo Soda, Valerio Guarrasi:
Doctor-in-the-Loop: An explainable, multi-view deep learning framework for predicting pathological response in non-small cell lung cancer. Image Vis. Comput. 161: 105630 (2025) - [c23]Aurora Rofena, Arianna Manchia, Claudia Lucia Piccolo, Bruno Beomonte Zobel, Paolo Soda, Valerio Guarrasi:
Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer. CBMS 2025: 141-146 - [c22]Elena Mulero Ayllon, Massimiliano Mantegna, Linlin Shen, Paolo Soda, Valerio Guarrasi, Matteo Tortora:
Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging. CBMS 2025: 375-380 - [c21]Valerio Guarrasi, Francesco Di Feola, Rebecca Restivo, Lorenzo Tronchin, Paolo Soda:
Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin. CBMS 2025: 528-534 - [c20]Giulia Di Teodoro, Valerio Guarrasi, Federico Siciliano, Fabrizio Silvestri:
Advances in Medical Knowledge Systems: LLMs, RAG and Foundation Models. CIKM 2025: 6901-6904 - [c19]Camillo Maria Caruso, Riccardo Bruni, Valerio Guarrasi:
Mask-Aware Transformers Enable Robust Learning from Incomplete Volumetric Medical Imaging. ICIAP (Workshops 1) 2025: 175-186 - [c18]Alice Natalina Caragliano, Claudia Tacconi, Carlo Greco, Lorenzo Nibid, Edy Ippolito, Michele Fiore, Giuseppe Perrone, Sara Ramella, Paolo Soda, Valerio Guarrasi:
Multimodal Doctor-in-the-Loop: A Clinically-Guided Explainable Framework for Predicting Pathological Response in Non-Small Cell Lung Cancer. IJCNN 2025: 1-8 - [c17]Francesco Di Feola, Ludovica Pompilio, Cecilia Assolito, Valerio Guarrasi, Paolo Soda:
Texture-Aware StarGAN for CT data harmonization. IJCNN 2025: 1-8 - [c16]Valerio Guarrasi, Klara Mogensen, Sara Tassinari, Sara Qvarlander, Paolo Soda:
Timing Is Everything: Finding the Optimal Fusion Points in Multimodal Medical Imaging. IJCNN 2025: 1-8 - [c15]Daniele Molino, Francesco Di Feola, Linlin Shen, Paolo Soda, Valerio Guarrasi:
Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report Generation. IJCNN 2025: 1-8 - [c14]Marco Salmè, Rosa Sicilia, Paolo Soda, Valerio Guarrasi:
Evaluating Vision Language Model Adaptations for Radiology Report Generation in Low-Resource Languages. IJCNN 2025: 1-8 - [c13]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:
Medicine without boundaries: generative AI for translating medical data across modalities. Ital-IA 2025 - [c12]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:
Next-gen health: from multimodal AI to foundation models. Ital-IA 2025 - [c11]Matteo Tortora, Giulia Romoli, Valerio Guarrasi, Rosa Sicilia, Francesco Conte, Federico Silvestro, Paolo Soda:
Towards a sustainable future: AI-powered solutions in agriculture and green energy. Ital-IA 2025 - [e2]Alejandro Rodríguez González, Rosa Sicilia, Lucía Prieto Santamaría, George A. Papadopoulos, Valerio Guarrasi, Mirela Teixeira Cazzolato, Bridget Kane:
38th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2025, Madrid, Spain, June 18-20, 2025. IEEE 2025, ISBN 979-8-3315-2610-8 [contents] - [e1]Valerio Guarrasi, Federico Siciliano, Fabrizio Silvestri:
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. CEUR Workshop Proceedings 3924, CEUR-WS.org 2025 [contents] - [i31]Daniele Molino, Francesco Di Feola, Eliodoro Faiella, Deborah Fazzini, Domiziana Santucci, Linlin Shen, Valerio Guarrasi, Paolo Soda:
MedCoDi-M: A Multi-Prompt Foundation Model for Multimodal Medical Data Generation. CoRR abs/2501.04614 (2025) - [i30]Aurora Rofena, Claudia Lucia Piccolo, Bruno Beomonte Zobel, Paolo Soda, Valerio Guarrasi:
Augmented Intelligence for Multimodal Virtual Biopsy in Breast Cancer Using Generative Artificial Intelligence. CoRR abs/2501.19176 (2025) - [i29]Alice Natalina Caragliano, Filippo Ruffini, Carlo Greco, Edy Ippolito, Michele Fiore, Claudia Tacconi, Lorenzo Nibid, Giuseppe Perrone, Sara Ramella, Paolo Soda, Valerio Guarrasi:
Doctor-in-the-Loop: An Explainable, Multi-View Deep Learning Framework for Predicting Pathological Response in Non-Small Cell Lung Cancer. CoRR abs/2502.17503 (2025) - [i28]Francesco Di Feola, Ludovica Pompilio, Cecilia Assolito, Valerio Guarrasi, Paolo Soda:
Texture-Aware StarGAN for CT data harmonisation. CoRR abs/2503.15058 (2025) - [i27]Valerio Guarrasi, Francesco Di Feola, Rebecca Restivo, Lorenzo Tronchin, Paolo Soda:
Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin. CoRR abs/2503.15555 (2025) - [i26]Lorenzo Tronchin, Tommy Löfstedt, Paolo Soda, Valerio Guarrasi:
Beyond a Single Mode: GAN Ensembles for Diverse Medical Data Generation. CoRR abs/2503.24258 (2025) - [i25]Marco Salmè, Lorenzo Tronchin, Rosa Sicilia, Paolo Soda, Valerio Guarrasi:
Beyond the Generative Learning Trilemma: Generative Model Assessment in Data Scarcity Domains. CoRR abs/2504.10555 (2025) - [i24]Daniele Molino, Francesco Di Feola, Linlin Shen, Paolo Soda, Valerio Guarrasi:
Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report Generation. CoRR abs/2505.01091 (2025) - [i23]Marco Salmè, Rosa Sicilia, Paolo Soda, Valerio Guarrasi:
Evaluating Vision Language Model Adaptations for Radiology Report Generation in Low-Resource Languages. CoRR abs/2505.01096 (2025) - [i22]Elena Mulero Ayllon, Massimiliano Mantegna, Linlin Shen, Paolo Soda, Valerio Guarrasi, Matteo Tortora:
Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging. CoRR abs/2505.01239 (2025) - [i21]Alice Natalina Caragliano, Claudia Tacconi, Carlo Greco, Lorenzo Nibid, Edy Ippolito, Michele Fiore, Giuseppe Perrone, Sara Ramella, Paolo Soda, Valerio Guarrasi:
Multimodal Doctor-in-the-Loop: A Clinically-Guided Explainable Framework for Predicting Pathological Response in Non-Small Cell Lung Cancer. CoRR abs/2505.01390 (2025) - [i20]Valerio Guarrasi, Klara Mogensen, Sara Tassinari, Sara Qvarlander, Paolo Soda:
Timing Is Everything: Finding the Optimal Fusion Points in Multimodal Medical Imaging. CoRR abs/2505.02467 (2025) - [i19]Aurora Rofena, Arianna Manchia, Claudia Lucia Piccolo, Bruno Beomonte Zobel, Paolo Soda, Valerio Guarrasi:
Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer. CoRR abs/2505.03018 (2025) - [i18]Daniele Molino, Camillo Maria Caruso, Filippo Ruffini, Paolo Soda, Valerio Guarrasi:
Text-to-CT Generation via 3D Latent Diffusion Model with Contrastive Vision-Language Pretraining. CoRR abs/2506.00633 (2025) - [i17]Afifa Khaled, Mohammed Sabir, Rizwan Qureshi, Camillo Maria Caruso, Valerio Guarrasi, Suncheng Xiang, S. Kevin Zhou:
Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises. CoRR abs/2506.12808 (2025) - [i16]Filippo Ruffini, Elena Mulero Ayllon, Linlin Shen, Paolo Soda, Valerio Guarrasi:
Benchmarking Foundation Models and Parameter-Efficient Fine-Tuning for Prognosis Prediction in Medical Imaging. CoRR abs/2506.18434 (2025) - [i15]Irene Iele, Francesco Di Feola, Valerio Guarrasi, Paolo Soda:
Sample-Aware Test-Time Adaptation for Medical Image-to-Image Translation. CoRR abs/2508.00766 (2025) - [i14]Arianna Francesconi, Donato Cappetta, Fabio Rebecchi, Paolo Soda, Valerio Guarrasi, Rosa Sicilia:
Cross-dataset Multivariate Time-series Model for Parkinson's Diagnosis via Keyboard Dynamics. CoRR abs/2510.15950 (2025) - 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 - [i13]Francesco Di Feola, Lorenzo Tronchin, Valerio Guarrasi, Paolo Soda:
Multi-Scale Texture Loss for CT denoising with GANs. CoRR abs/2403.16640 (2024) - [i12]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) - [i11]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) - [i10]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) - [i9]Arianna Francesconi, Lazzaro di Biase, Donato Cappetta, Fabio Rebecchi, Paolo Soda, Rosa Sicilia, Valerio Guarrasi:
Class Balancing Diversity Multimodal Ensemble for Alzheimer's Disease Diagnosis and Early Detection. CoRR abs/2410.10374 (2024) - [i8]Camillo Maria Caruso, Paolo Soda, Valerio Guarrasi:
MARIA: a Multimodal Transformer Model for Incomplete Healthcare Data. CoRR abs/2412.14810 (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
LinLin Shen
aka: Linlin Shen
aka: Linlin Shen
[j22] [j21] [j20] [j19] [j18] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [j17] [j16] [j15] [j13] [j12] [j11] [j10] [c23] [c22] [c21] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i16] [i15] [i14] [j9] [j8] [j7] [c10] [c9] [c8] [i13] [i12] [i11] [i10] [i9] [i8] [j6] [c6] [c5] [c4] [i7] [i6] [j4] [j3] [c2] [i4] [i3] [j1] [c1] [i1]
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