Michele Fiore

According to our database, Michele Fiore authored at least 14 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Predicting lung cancer survival with attention-based CT slices combination.

Domenico Paolo, Carlo Greco, Edy Ippolito, Michele Fiore, Sara Ramella, Paolo Soda, Matteo Tortora, Alessandro Bria, Rosa Sicilia

Health Inf. Sci. Syst., December, 2026

Learning from Limited and Incomplete Data: A Multimodal Framework for Predicting Pathological Response in NSCLC.

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

CoRR, March, 2026

Longitudinal NSCLC Treatment Progression via Multimodal Generative Models.

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

CoRR, March, 2026

Handling Missing Modalities in Multimodal Survival Prediction for Non-Small Cell Lung Cancer.

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

CoRR, January, 2026

2025

Homochirality Emergence: A Scientific Enigma with Profound Implications in Origins of Life Studies.

Michele Fiore

Symmetry, 2025

Hyperbolic Deep Learning System for Intelligent Gate-Driving and Health Monitoring of Silicon-Carbide Power MOSFETs.

Francesco Rundo, Angelo Alberto Messina, Michele Fiore, Michele Calabretta, Pasquale Coscia, Sebastiano Battiato

IEEE Open J. Comput. Soc., 2025

Doctor-in-the-Loop: An explainable, multi-view deep learning framework for predicting pathological response in non-small cell lung cancer.

Alice Natalina Caragliano, Filippo Ruffini, Carlo Greco, Edy Ippolito, Michele Fiore, Claudia Tacconi, Lorenzo Nibid, Giuseppe Perrone, Sara Ramella, Paolo Soda, Valerio Guarrasi

Image Vis. Comput., 2025

Multimodal Doctor-in-the-Loop: A Clinically-Guided Explainable Framework for Predicting Pathological Response in Non-Small Cell Lung Cancer.

Alice Natalina Caragliano, Claudia Tacconi, Carlo Greco, Lorenzo Nibid, Edy Ippolito, Michele Fiore, Giuseppe Perrone, Sara Ramella, Paolo Soda, Valerio Guarrasi

Proceedings of the International Joint Conference on Neural Networks, 2025

2022

Chemical Models for Understanding the Emergence of Homo-Chirality of Phospholipids for Origin of Life Studies.

Fryni Skorda, Carolina Chieffo, Michele Fiore

Symmetry, 2022

A Multimodal Ensemble Driven by Multiobjective Optimisation to Predict Overall Survival in Non-Small-Cell Lung Cancer.

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

J. Imaging, 2022

2021

Exploring Deep Pathomics in Lung Cancer.

Charles Z. Liu, Rosa Sicilia, Matteo Tortora, Ermanno Cordelli, Lorenzo Nibid, Giovanna Sabarese, Giuseppe Perrone, Michele Fiore, Sara Ramella, Paolo Soda

Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2020

Symmetry Breaking of Phospholipids.

Michele Fiore, René Buchet

Symmetry, 2020

Racemic Phospholipids for Origin of Life Studies.

Emiliano Altamura, Arnaud Comte, Alice D'Onofrio, Charlotte Roussillon, Dimitri Fayolle, René Buchet, Fabio Mavelli, Pasquale Stano, Michele Fiore, Peter Strazewski

Symmetry, 2020

2018

Exploratory Radiomics for Predicting Adaptive Radiotherapy in Non-Small Cell Lung Cancer.

Rosa Sicilia, Ermanno Cordelli, Sara Ramella, Michele Fiore, Carlo Greco, Elisabetta Molfese, Marianna Miele, Enrica Vinciguerra, Patrizia Cornacchione, Edy Ippolito, Rolando Maria D'Angelillo, Giulio Iannello, Paolo Soda

Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018