Data Models for an Imaging Bio-bank for Colorectal, Prostate and Gastric Cancer: the NAVIGATOR Project. - Andrea Berti; Gianluca Carloni; Sara Colantonio; Maria Antonietta Pascali; Paolo Manghi; Pasquale Pagano; Rossana Buongiorno; Eva Pachetti; Claudia Caudai; Domenico Di Gangi; Emanuele Carlini; Zeno Falaschi; et al. (BHI, 2022)

On the Applicability of Prototypical Part Learning in Medical Images: Breast Masses Classification Using ProtoPNet. - Gianluca Carloni; Andrea Berti; Chiara Iacconi; Maria Antonietta Pascali; Sara Colantonio (ICPR Workshops (1), 2022)

Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI. - Gianluca Carloni; Eva Pachetti; Sara Colantonio (ICCV (Workshops), 2023)

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)

Cine Cardiac MRI Reconstruction Using a Convolutional Recurrent Network with Refinement. - Yuyang Xue; Yuning Du; Gianluca Carloni; Eva Pachetti; Connor Jordan; Sotirios A. Tsaftaris (STACOM@MICCAI, 2023)

Connectivity-Inspired Network for Context-Aware Recognition. - Gianluca Carloni; Sara Colantonio (ECCV Workshops (14), 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)

CROCODILE: Causality Aids RObustness via COntrastive DIsentangled LEarning. - Gianluca Carloni; Sotirios A. Tsaftaris; Sara Colantonio (UNSURE@MICCAI, 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)

Exploiting causality signals in medical images: A pilot study with empirical results. - Gianluca Carloni; Sara Colantonio (Expert Syst. Appl., 2024)

Human-aligned Deep Learning: Explainability, Causality, and Biological Inspiration. - Gianluca Carloni (CoRR, 2025)

The Role of Causality in Explainable Artificial Intelligence. - Gianluca Carloni; Andrea Berti; Sara Colantonio (WIREs Data. Mining. Knowl. Discov., 2025)

Pathology Foundation Models are Scanner Sensitive: Benchmark and Mitigation with Contrastive ScanGen Loss. - Gianluca Carloni; Biagio Brattoli; Seongho Keum; Jongchan Park; Taebum Lee; Chang Ho Ahn; Sérgio Pereira (CoRR, 2025)