UIP-Net: A Decoder-Encoder CNN for the Detection and Quantification of Usual Interstitial Pneumoniae Pattern in Lung CT Scan Images. - Rossana Buongiorno; Danila Germanese; Chiara Romei; Laura Tavanti; Annalisa De Liperi; Sara Colantonio (ICPR Workshops (1), 2020)

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)

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)

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)