An innovative radiomics approach to predict response to chemotherapy of liver metastases based on CT images. - Valentina Giannini; Arianna Defeudis; Samanta Rosati; Giovanni Cappello; Simone Mazzetti; Jovana Panic; Daniele Regge; Gabriella Balestra (EMBC, 2020)

A Convolutional Neural Network based system for Colorectal cancer segmentation on MRI images. - Jovana Panic; Arianna Defeudis; Simone Mazzetti; Samanta Rosati; Giuliana Giannetto; Lorenzo Vassallo; Daniele Regge; Gabriella Balestra; Valentina Giannini (EMBC, 2020)

Deep learning to segment liver metastases on CT images: impact on a radiomics method to predict response to chemotherapy. - Valentina Giannini; Arianna Defeudis; Samanta Rosati; Giovanni Cappello; Lorenzo Vassallo; Simone Mazzetti; Jovana Panic; Daniele Regge; Gabriella Balestra (MeMeA, 2020)

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)

A fully automatic deep learning algorithm to segment rectal Cancer on MR images: a multi-center study. - Jovana Panic; Arianna Defeudis; Simone Mazzetti; Samanta Rosati; Giuliana Giannetto; Monica Micilotta; Lorenzo Vassallo; Marco Gatti; Daniele Regge; Gabriella Balestra; Valentina Giannini (EMBC, 2022)

A Deep Learning model to segment liver metastases on CT images acquired at different time-points during chemotherapy. - Arianna Defeudis; Jovana Panic; Walter Guzzinati; Laura Pusceddu; Lorenzo Vassallo; Daniele Regge; Valentina Giannini (MeMeA, 2022)

Impact of network parameters on a U-Net based system for rectal cancer segmentation on MR images. - Jovana Panic; Valentina Giannini; Arianna Defeudis; Daniele Regge; Gabriella Balestra; Samanta Rosati (MeMeA, 2022)

Comparison between Different Approaches for the Creation of the Training Set: How Clustering and Dimensionality Impact the Performance of a Deep Learning Model. - Jovana Panic; Arianna Defeudis; Daniele Regge; Gabriella Balestra; Samanta Rosati; Valentina Giannini (BIBE, 2023)

Rectal Cancer Segmentation: A Methodical Approach for Generalizable Deep Learning in a Multi-Center Setting. - Jovana Panic; Arianna Defeudis; Lorenzo Vassallo; Stefano Cirillo; Marco Gatti; Roberto Sghedoni; Michele Avanzo; Angelo Vanzulli; Luca Sorrentino; Luca Boldrini; Huong Elena Tran; Giuditta Chiloiro; et al. (Int. J. Imaging Syst. Technol., 2025)