Filippo Ruffini

15 papers Journal 11Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
ACGM: Attribute-Centric Graph Modeling Network for Concurrent Missing Tabular Data Imputation and COVID-19 Prognosis.
IEEE J. Biomed. Health Informatics
Zhuoru Wu, Wenting Chen, Xuechen Li, Filippo Ruffini, Shaonan Liu, Lorenzo Tronchin, Domenico Albano, Eliodoro Faiella, Deborah Fazzini, Domiziana Santucci, Xiaoling Luo, Valerio Guarrasi, Paolo Soda, Linlin Shen
2026 J jnl
Benchmarking foundation models and parameter-efficient fine-tuning for prognosis prediction in medical imaging.
Comput. Methods Programs Biomed.
Filippo Ruffini, Elena Mulero Ayllon, Linlin Shen, Paolo Soda, Valerio Guarrasi
2026 J jnl
Handling Missing Modalities in Multimodal Survival Prediction for Non-Small Cell Lung Cancer.
CoRR
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
2026 J jnl
Probabilistic NDVI Forecasting from Sparse Satellite Time Series and Weather Covariates.
CoRR
Irene Iele, Giulia Romoli, Daniele Molino, Elena Mulero Ayllon, Filippo Ruffini, Paolo Soda, Matteo Tortora
2025 J jnl
A systematic review of intermediate fusion in multimodal deep learning for biomedical applications.
Image Vis. Comput.
Valerio Guarrasi, Fatih Aksu, Camillo Maria Caruso, Francesco Di Feola, Aurora Rofena, Filippo Ruffini, Paolo Soda
2025 J jnl
Benchmarking Foundation Models and Parameter-Efficient Fine-Tuning for Prognosis Prediction in Medical Imaging.
CoRR
Filippo Ruffini, Elena Mulero Ayllon, Linlin Shen, Paolo Soda, Valerio Guarrasi
2025 J jnl
Doctor-in-the-Loop: An Explainable, Multi-View Deep Learning Framework for Predicting Pathological Response in Non-Small Cell Lung Cancer.
CoRR
Alice Natalina Caragliano, Filippo Ruffini, Carlo Greco, Edy Ippolito, Michele Fiore, Claudia Tacconi, Lorenzo Nibid, Giuseppe Perrone, Sara Ramella, Paolo Soda, Valerio Guarrasi
2025 J jnl
Doctor-in-the-Loop: An explainable, multi-view deep learning framework for predicting pathological response in non-small cell lung cancer.
Image Vis. Comput.
Alice Natalina Caragliano, Filippo Ruffini, Carlo Greco, Edy Ippolito, Michele Fiore, Claudia Tacconi, Lorenzo Nibid, Giuseppe Perrone, Sara Ramella, Paolo Soda, Valerio Guarrasi
2025 — conf
Next-gen health: from multimodal AI to foundation models.
Ital-IA
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
2025 J jnl
Text-to-CT Generation via 3D Latent Diffusion Model with Contrastive Vision-Language Pretraining.
CoRR
Daniele Molino, Camillo Maria Caruso, Filippo Ruffini, Paolo Soda, Valerio Guarrasi
2024 J jnl
A Systematic Review of Intermediate Fusion in Multimodal Deep Learning for Biomedical Applications.
CoRR
Valerio Guarrasi, Fatih Aksu, Camillo Maria Caruso, Francesco Di Feola, Aurora Rofena, Filippo Ruffini, Paolo Soda
2024 — conf
Multi-Dataset Multi-Task Learning for COVID-19 Prognosis.
MICCAI (12)
Filippo Ruffini, Lorenzo Tronchin, Zhuoru Wu, Wenting Chen, Paolo Soda, Linlin Shen, Valerio Guarrasi
2024 J jnl
Multi-Dataset Multi-Task Learning for COVID-19 Prognosis.
CoRR
Filippo Ruffini, Lorenzo Tronchin, Zhuoru Wu, Wenting Chen, Paolo Soda, Linlin Shen, Valerio Guarrasi
2024 — conf
Towards AI-driven Next Generation Personalized Healthcare and Well-being.
Ital-IA
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
2023 — conf
Making AI trustworthy in multimodal and healthcare scenarios.
Ital-IA
Ermanno Cordelli, Valerio Guarrasi, Giulio Iannello, Filippo Ruffini, Rosa Sicilia, Paolo Soda, Lorenzo Tronchin