A fast computational model for the electrophysiology of the whole human heart. - Giulio Del Corso; Roberto Verzicco; Francesco Viola (J. Comput. Phys., 2022)

Exploring the potentials and challenges of Artificial Intelligence in supporting clinical diagnostics and remote assistance for the health and well-being of individuals. - Andrea Berti; Rossana Buongiorno; Gianluca Carloni; Claudia Caudai; Giulio Del Corso; Danila Germanese; Eva Pachetti; Maria Antonietta Pascali; Sara Colantonio (Ital-IA, 2023)

Enhancing COVID-19 CT Image Segmentation: A Comparative Study of Attention and Recurrence in UNet Models. - Rossana Buongiorno; Giulio Del Corso; Danila Germanese; Leonardo Colligiani; Lorenzo Python; Chiara Romei; Sara Colantonio (J. Imaging, 2023)

Facial Landmark Identification and Data Preparation Can Significantly Improve the Extraction of Newborns' Facial Features. - Giulio Del Corso; Danila Germanese; Maria Antonietta Pascali; Serena Bardelli; Armando Cuttano; Fabrizia Festante; Andrea Guzzetta; Lucia Rocchitelli; Sara Colantonio (FG, 2024)

Radiomics-Based Reliable Predictions of Side Effects After Radiotherapy for Prostate Cancer. - Giulio Del Corso; Eva Pachetti; Rossana Buongiorno; Ana Carolina Rodrigues; Danila Germanese; Maria Antonietta Pascali; José G. de Almeida; Nuno Miguel Rodrigues; Manolis Tsiknakis; Nickolas Papanikolaou 003; Daniele Regge; Kostas Marias; et al. (ISBI, 2024)

From Covid-19 detection to cancer grading: how medical-AI is boosting clinical diagnostics and may improve treatment. - Andrea Berti; Rossana Buongiorno; Gianluca Carloni; Claudia Caudai; Francesco Conti 004; Giulio Del Corso; Danila Germanese; Davide Moroni; Eva Pachetti; Maria Antonietta Pascali; Sara Colantonio (Ital-IA, 2024)

Data and System Traceability for Transparent AI in Medical Imaging. - Sara Colantonio; Andrea Berti; Gianluca Carloni; Claudia Caudai; Giulio Del Corso; Danila Germanese; Eva Pachetti; Maria Antonietta Pascali; Varvara Kalokyri; Haridimos Kondylakis; Charalampos Kalantzopoulos; Nikolaos S. Tachos; et al. (SEBD, 2024)

Few-Shot Conditional Learning: Automatic and Reliable Device Classification for Medical Test Equipment. - Eva Pachetti; Giulio Del Corso; Serena Bardelli; Sara Colantonio (J. Imaging, 2024)

Shedding light on uncertainties in machine learning: formal derivation and optimal model selection. - Giulio Del Corso; Sara Colantonio; Claudia Caudai (J. Frankl. Inst., 2025)