GUARRASI, VALERIO
GUARRASI, VALERIO
[18F]FDG PET/CT Radiomics for Predicting Pathological Risk Subtypes of Thymic Epithelial Tumors: A Bicentric Study
2026-01-01 Sarubbi, A.; Frasca, L.; Aksu, F.; Meduri, G. M.; Guarrasi, V.; Romano, G.; Zirafa, C. C.; Longo, F.; Russo, G.; Grasso, R. F.; Soda, P.; Melfi, F.; Crucitti, P.
A deep learning approach for overall survival prediction in lung cancer with missing values
2024-01-01 Caruso, C. M.; Guarrasi, V.; Ramella, S.; Soda, P.
A deep learning approach for virtual contrast enhancement in Contrast Enhanced Spectral Mammography
2024-01-01 Rofena, A.; Guarrasi, V.; Sarli, M.; Piccolo, C. L.; Sammarra, M.; Zobel, B. B.; Soda, P.
A Distributed Deep Learning Architecture for Cloud Continuum Deployment in a E-health Scenario
2027-01-01 Sarcina, F.; Di Martino, B.; Guarrasi, V.; Soda, P.
A graph neural network-based model with out-of-distribution robustness for enhancing antiretroviral therapy outcome prediction for HIV-1
2025-01-01 Di Teodoro, G.; Siciliano, F.; Guarrasi, V.; Vandamme, A. -M.; Ghisetti, V.; Sonnerborg, A.; Zazzi, M.; Silvestri, F.; Palagi, L.
A Multi-Expert System to Detect COVID-19 Cases in X-ray Images
2021-01-01 Guarrasi, V; D'Amico, Nc; Sicilia, R; Cordelli, E; Soda, P
A Multimodal Ensemble Driven by Multiobjective Optimisation to Predict Overall Survival in Non-Small-Cell Lung Cancer
2022-01-01 Caruso, C. M.; Guarrasi, V.; Cordelli, E.; Sicilia, R.; Gentile, S.; Messina, L.; Fiore, M.; Piccolo, C.; Beomonte Zobel, B.; Iannello, G.; Ramella, S.; Soda, P.
A systematic review of intermediate fusion in multimodal deep learning for biomedical applications
2025-01-01 Guarrasi, V.; Aksu, F.; Caruso, C. M.; Di Feola, F.; Rofena, A.; Ruffini, F.; Soda, P.
ACGM: Attribute-Centric Graph Modeling Network for Concurrent Missing Tabular Data Imputation and COVID-19 Prognosis
2026-01-01 Wu, Zhuoru; Chen, Wenting; Li, Xuechen; Ruffini, Filippo; Liu, Shaonan; Tronchin, Lorenzo; Albano, Domenico; Faiella, Eliodoro; Fazzini, Deborah; Santucci, Domiziana; Luo, Xiaoling; Guarrasi, Valerio; Soda, Paolo; Shen, Linlin
Advances in Medical Knowledge Systems: LLMs, RAG and Foundation Models
2025-01-01 Di Teodoro, G.; Guarrasi, V.; Siciliano, F.; Silvestri, F.
AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study
2021-01-01 Soda, Paolo; Claudia D'Amico, Natascha; Tessadori, Jacopo; Valbusa, Giovanni; Guarrasi, Valerio; Bortolotto, Chandra; Usman Akbar, Muhammad; Sicilia, Rosa; Cordelli, Ermanno; Fazzini, Deborah; Cellina, Michaela; Oliva, Giancarlo; Callea, Giovanni; Panella, Silvia; Cariati, Maurizio; Cozzi, Diletta; Miele, Vittorio; Stellato, Elvira; Carrafiello, Gianpaolo; Castorani, Giulia; Simeone, Annalisa; Preda, Lorenzo; Iannello, Giulio; Del Bue, Alessio; Tedoldi, Fabio; Alí, Marco; Sona, Diego; Papa, Sergio
An optimized ensemble search approach for classification of higher-level gait disorder using brain magnetic resonance images
2025-01-01 Mogensen, K.; Guarrasi, V.; Larsson, J.; Hansson, W.; Wahlin, A.; Koskinen, L. -O.; Malm, J.; Eklund, A.; Soda, P.; Qvarlander, S.
Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report Generation
2025-01-01 Molino, D.; Di Feola, F.; Shen, L.; Soda, P.; Guarrasi, V.
Assessing the impact of data-driven limitations on tracing and forecasting the outbreak dynamics of COVID-19
2021-01-01 Fiscon, G.; Salvadore, F.; Guarrasi, V.; Garbuglia, A. R.; Paci, P.
Augmented intelligence for multimodal virtual biopsy in breast cancer using generative artificial intelligence
2026-01-01 Rofena, A.; Piccolo, C. L.; Zobel, B. B.; Soda, P.; Guarrasi, V.
Benchmarking foundation models and parameter-efficient fine-tuning for prognosis prediction in medical imaging
2026-01-01 Ruffini, F.; Ayllon, E. M.; Shen, L.; Soda, P.; Guarrasi, V.
Benchmarking foundation models for tumor segmentation across multiple cancer types
2026-01-01 Tortora, M.; Ayllon, E. M.; Ruffini, F.; Guarrasi, V.; Soda, P.
Beyond a single mode: GAN ensembles for diverse medical data generation
2026-01-01 Tronchin, L.; Lofstedt, T.; Soda, P.; Guarrasi, V.
Beyond the Generative Learning Trilemma: Generative Model Assessment in Data Scarcity Domains
2026-01-01 Salma, M.; Tronchin, L.; Sicilia, R.; Soda, P.; Guarrasi, V.
Beyond unimodal analysis: Multimodal ensemble learning for enhanced assessment of atherosclerotic disease progression
2025-01-01 Guarrasi, Valerio; Bertgren, Amanda; Näslund, Ulf; Wennberg, Patrik; Soda, Paolo; Grönlund, Christer
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| [18F]FDG PET/CT Radiomics for Predicting Pathological Risk Subtypes of Thymic Epithelial Tumors: A Bicentric Study | 1-gen-2026 | Sarubbi, A.; Frasca, L.; Aksu, F.; Meduri, G. M.; Guarrasi, V.; Romano, G.; Zirafa, C. C.; Longo, F.; Russo, G.; Grasso, R. F.; Soda, P.; Melfi, F.; Crucitti, P. | |
| A deep learning approach for overall survival prediction in lung cancer with missing values | 1-gen-2024 | Caruso, C. M.; Guarrasi, V.; Ramella, S.; Soda, P. | |
| A deep learning approach for virtual contrast enhancement in Contrast Enhanced Spectral Mammography | 1-gen-2024 | Rofena, A.; Guarrasi, V.; Sarli, M.; Piccolo, C. L.; Sammarra, M.; Zobel, B. B.; Soda, P. | |
| A Distributed Deep Learning Architecture for Cloud Continuum Deployment in a E-health Scenario | 1-gen-2027 | Sarcina, F.; Di Martino, B.; Guarrasi, V.; Soda, P. | |
| A graph neural network-based model with out-of-distribution robustness for enhancing antiretroviral therapy outcome prediction for HIV-1 | 1-gen-2025 | Di Teodoro, G.; Siciliano, F.; Guarrasi, V.; Vandamme, A. -M.; Ghisetti, V.; Sonnerborg, A.; Zazzi, M.; Silvestri, F.; Palagi, L. | |
| A Multi-Expert System to Detect COVID-19 Cases in X-ray Images | 1-gen-2021 | Guarrasi, V; D'Amico, Nc; Sicilia, R; Cordelli, E; Soda, P | |
| A Multimodal Ensemble Driven by Multiobjective Optimisation to Predict Overall Survival in Non-Small-Cell Lung Cancer | 1-gen-2022 | Caruso, C. M.; Guarrasi, V.; Cordelli, E.; Sicilia, R.; Gentile, S.; Messina, L.; Fiore, M.; Piccolo, C.; Beomonte Zobel, B.; Iannello, G.; Ramella, S.; Soda, P. | |
| A systematic review of intermediate fusion in multimodal deep learning for biomedical applications | 1-gen-2025 | Guarrasi, V.; Aksu, F.; Caruso, C. M.; Di Feola, F.; Rofena, A.; Ruffini, F.; Soda, P. | |
| ACGM: Attribute-Centric Graph Modeling Network for Concurrent Missing Tabular Data Imputation and COVID-19 Prognosis | 1-gen-2026 | Wu, Zhuoru; Chen, Wenting; Li, Xuechen; Ruffini, Filippo; Liu, Shaonan; Tronchin, Lorenzo; Albano, Domenico; Faiella, Eliodoro; Fazzini, Deborah; Santucci, Domiziana; Luo, Xiaoling; Guarrasi, Valerio; Soda, Paolo; Shen, Linlin | |
| Advances in Medical Knowledge Systems: LLMs, RAG and Foundation Models | 1-gen-2025 | Di Teodoro, G.; Guarrasi, V.; Siciliano, F.; Silvestri, F. | |
| AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study | 1-gen-2021 | Soda, Paolo; Claudia D'Amico, Natascha; Tessadori, Jacopo; Valbusa, Giovanni; Guarrasi, Valerio; Bortolotto, Chandra; Usman Akbar, Muhammad; Sicilia, Rosa; Cordelli, Ermanno; Fazzini, Deborah; Cellina, Michaela; Oliva, Giancarlo; Callea, Giovanni; Panella, Silvia; Cariati, Maurizio; Cozzi, Diletta; Miele, Vittorio; Stellato, Elvira; Carrafiello, Gianpaolo; Castorani, Giulia; Simeone, Annalisa; Preda, Lorenzo; Iannello, Giulio; Del Bue, Alessio; Tedoldi, Fabio; Alí, Marco; Sona, Diego; Papa, Sergio | |
| An optimized ensemble search approach for classification of higher-level gait disorder using brain magnetic resonance images | 1-gen-2025 | Mogensen, K.; Guarrasi, V.; Larsson, J.; Hansson, W.; Wahlin, A.; Koskinen, L. -O.; Malm, J.; Eklund, A.; Soda, P.; Qvarlander, S. | |
| Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report Generation | 1-gen-2025 | Molino, D.; Di Feola, F.; Shen, L.; Soda, P.; Guarrasi, V. | |
| Assessing the impact of data-driven limitations on tracing and forecasting the outbreak dynamics of COVID-19 | 1-gen-2021 | Fiscon, G.; Salvadore, F.; Guarrasi, V.; Garbuglia, A. R.; Paci, P. | |
| Augmented intelligence for multimodal virtual biopsy in breast cancer using generative artificial intelligence | 1-gen-2026 | Rofena, A.; Piccolo, C. L.; Zobel, B. B.; Soda, P.; Guarrasi, V. | |
| Benchmarking foundation models and parameter-efficient fine-tuning for prognosis prediction in medical imaging | 1-gen-2026 | Ruffini, F.; Ayllon, E. M.; Shen, L.; Soda, P.; Guarrasi, V. | |
| Benchmarking foundation models for tumor segmentation across multiple cancer types | 1-gen-2026 | Tortora, M.; Ayllon, E. M.; Ruffini, F.; Guarrasi, V.; Soda, P. | |
| Beyond a single mode: GAN ensembles for diverse medical data generation | 1-gen-2026 | Tronchin, L.; Lofstedt, T.; Soda, P.; Guarrasi, V. | |
| Beyond the Generative Learning Trilemma: Generative Model Assessment in Data Scarcity Domains | 1-gen-2026 | Salma, M.; Tronchin, L.; Sicilia, R.; Soda, P.; Guarrasi, V. | |
| Beyond unimodal analysis: Multimodal ensemble learning for enhanced assessment of atherosclerotic disease progression | 1-gen-2025 | Guarrasi, Valerio; Bertgren, Amanda; Näslund, Ulf; Wennberg, Patrik; Soda, Paolo; Grönlund, Christer |