Deep learning model for automatic prostate segmentation on bicentric T2w images with and without endorectal coil. - Davide Barra; Giulia Nicoletti; Arianna Defeudis; Simone Mazzetti; Jovana Panic; Marco Gatti; Riccardo Faletti; Filippo Russo; Daniele Regge; Valentina Giannini (EMBC, 2021)

Comparison of radiomics approaches to predict resistance to 1st line chemotherapy in liver metastatic colorectal cancer. - Arianna Defeudis; Lorenzo Cefaloni; Giuliana Giannetto; Giovanni Cappello; Francesco Rizzetto; Jovana Panic; Davide Barra; Giulia Nicoletti; Simone Mazzetti; Alberto Vanzulli; Daniele Regge; Valentina Giannini (EMBC, 2021)

Virtual biopsy in prostate cancer: can machine learning distinguish low and high aggressive tumors on MRI? - Giulia Nicoletti; Davide Barra; Arianna Defeudis; Simone Mazzetti; Marco Gatti; Riccardo Faletti; Filippo Russo; Daniele Regge; Valentina Giannini (EMBC, 2021)

Comparison of Machine and Deep Learning models for automatic segmentation of prostate cancers on multiparametric MRI. - Giovanni Maimone; Giulia Nicoletti; Simone Mazzetti; Daniele Regge; Valentina Giannini (MeMeA, 2022)

How Do Norms and Noise Impact Clustering Results? A Robustness Analysis Applied to Digital Pathology. - Giulia Nicoletti; Caterina Marchiò; Samanta Rosati; Enrico Berrino; Maria Costanza Aquilano; Emanuela Bonoldi; Gabriella Balestra; Daniele Regge; Valentina Giannini (BIBE, 2023)

Navigating the landscape of multimodal AI in medicine: A scoping review on technical challenges and clinical applications. - Daan N. Schouten; Giulia Nicoletti; Bas Dille; Catherine Chia; Pierpaolo Vendittelli; Megan Schuurmans; Geert Litjens 001; Nadieh Khalili (Medical Image Anal., 2025)