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)

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)

Robust field-level inference with dark matter halos. - Helen Shao; Francisco Villaescusa-Navarro; Pablo Villanueva-Domingo; Romain Teyssier; Lehman H. Garrison; Marco Gatti; Derek Inman; Yueying Ni; Ulrich P. Steinwandel; Mihir Kulkarni; Eli Visbal; Greg L. Bryan; et al. (CoRR, 2022)

On Spiking Neural Membrane Systems with Neuron and Synapse Creation. - Marco Gatti; Alberto Leporati; Claudio Zandron (Int. J. Neural Syst., 2022)

Multimodality Imaging in Ischemic Chronic Cardiomyopathy. - Giuseppe Muscogiuri; Marco Guglielmo; Alessandra Serra; Marco Gatti; Valentina Volpato; Uwe Joseph Schoepf; Luca Saba; Riccardo Cau; Riccardo Faletti; Liam J. McGill; Carlo Nicola De Cecco; Gianluca Pontone; et al. (J. Imaging, 2022)

Role of Cardiovascular Magnetic Resonance in the Management of Atrial Fibrillation: A Review. - Davide Tore; Riccardo Faletti; Andrea Biondo; Andrea Carisio; Fabio Giorgino; Ilenia Landolfi; Katia Rocco; Sara Salto; Ambra Santonocito; Federica Ullo; Matteo Anselmino; Paolo Fonio; et al. (J. Imaging, 2022)

Sum-of-Parts Models: Faithful Attributions for Groups of Features. - Weiqiu You; Helen Qu; Marco Gatti; Bhuvnesh Jain; Eric Wong 001 (CoRR, 2023)

The FIX Benchmark: Extracting Features Interpretable to eXperts. - Helen Jin; Shreya Havaldar; Chaehyeon Kim; Anton Xue; Weiqiu You; Helen Qu; Marco Gatti; Daniel A. Hashimoto; Bhuvnesh Jain; Amin Madani; Masao Sako; Lyle H. Ungar; et al. (CoRR, 2024)

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)

Spiking neural network classification of X-ray chest images. - Marco Gatti; Jessica Amianto Barbato; Claudio Zandron (Knowl. Based Syst., 2025)

PARROT: An Open Multilingual Radiology Reports Dataset. - Bastien Le Guellec; Kokou Adambounou; Lisa C. Adams; Thibault Agripnidis; Sungsoo Ahn; Radhia Ait Chalal; Tugba Akinci D. Antonoli; Philippe Amouyel; Henrik Andersson; Raphael Bentegeac; Claudio Benzoni; Antonino Andrea Blandino; et al. (CoRR, 2025)