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; et al. (CBMS, 2018)

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)

Symmetry Breaking of Phospholipids. - Michele Fiore; René Buchet (Symmetry, 2020)

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 (CBMS, 2021)

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)

Chemical Models for Understanding the Emergence of Homo-Chirality of Phospholipids for Origin of Life Studies. - Fryni Skorda; Carolina Chieffo; Michele Fiore (Symmetry, 2022)

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 (CoRR, 2025)