CATE (Coronary Artery Tortuosity Evaluator): A Semi-Automatic Tool for Quantitative Assessment of Coronary Artery Tortuosity from CT Angiography. - Michela Ferrari; Mario Urtis; Lorenzo Giuliani; Alice Lionetti; Chandra Bortolotto; Francesco Prati; Lorenzo Preda; Eloisa Arbustini; Giovanni Magenes (MeMeA, 2024)

Unsupervised Assessment of Coronary Artery Tortuosity Through Hidden Markov Models. - Michela Ferrari; Edoardo Spairani; Mario Urtis; Antonio Tescari; Maurizia Grasso; Eloisa Arbustini; Giovanni Magenes (AIME (2), 2025)

Deep Learning Driven Classification of Echocardiographic Apical Views: An Approach Based on Variational Autoencoders and Multilayer Perceptrons. - Francesco Podda; Edoardo Spairani; Edoardo Bosco; Michela Ferrari; Marco Piastra; Giulia Matrone; Giovanni Magenes (AIME (1), 2025)

A Variational Autoencoder Based Framework for Classifying Apical 2-Chamber and 4-Chamber Views. - Edoardo Spairani; Francesco Podda; Edoardo Bosco; Michela Ferrari; Marco Piastra; Giulia Matrone; Giovanni Magenes (MeMeA, 2025)

Automated Septum Detection in Echocardiographic Images Using Hough Transform. - Edoardo Spairani; Francesco Podda; Edoardo Bosco; Michela Ferrari; Marco Piastra; Giulia Matrone; Giovanni Magenes (MeMeA, 2025)