A multicenter study on radiomic features from T2-weighted images of a customized MR pelvic phantom setting the basis for robust radiomic models in clinics. - Linda Bianchini; João Santinha; Nuno Loução; Mário A. T. Figueiredo; Francesca Botta; Daniela Origgi; Marta Cremonesi; Enrico Cassano; Nikolaos Papanikolaou 003; Alessandro Lascialfari (CoRR, 2020)

Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade oftwo U-nets: training and assessment on multipledatasets using different annotation criteria. - Francesca Lizzi; Abramo Agosti; Francesca Brero; Raffaella Fiamma Cabini; Maria Evelina Fantacci; Silvia Figini; Alessandro Lascialfari; Francesco Laruina; Piernicola Oliva; Stefano Piffer; Ian Postuma; Lisa Rinaldi; et al. (CoRR, 2021)

Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade of two U-nets: training and assessment on multiple datasets using different annotation criteria. - Francesca Lizzi; Abramo Agosti; Francesca Brero; Raffaella Fiamma Cabini; Maria Evelina Fantacci; Silvia Figini; Alessandro Lascialfari; Francesco Laruina; Piernicola Oliva; Stefano Piffer; Ian Postuma; Lisa Rinaldi; et al. (Int. J. Comput. Assist. Radiol. Surg., 2022)

A kinetic approach to consensus-based segmentation of biomedical images. - Raffaella Fiamma Cabini; Anna Pichiecchio; Alessandro Lascialfari; Silvia Figini; Mattia Zanella (CoRR, 2022)

Integration of a Deep Learning-Based Module for the Quantification of Imaging Features into the Filling-in Process of the Radiological Structured Report. - Camilla Scapicchio; Elena Ballante; Francesca Brero; Raffaella Fiamma Cabini; Andrea Chincarini; Maria Evelina Fantacci; Silvia Figini; Alessandro Lascialfari; Francesca Lizzi; Ian Postuma; Alessandra Retico (HEALTHINF, 2023)

A Multi-input Deep Learning Model to Classify COVID-19 Pneumonia Severity from Imaging and Clinical Data. - Francesca Lizzi; Francesca Brero; Maria Evelina Fantacci; Alessandro Lascialfari; Gianfranco Paternò; Ian Postuma; Piernicola Oliva; Camilla Scapicchio; Alessandra Retico (IWBBIO (2), 2024)

Myo-regressor Deep Informed Neural NetwOrk (Myo-DINO) for fast MR parameters mapping in neuromuscular disorders. - Leonardo Barzaghi; Francesca Brero; Raffaella Fiamma Cabini; Matteo Paoletti; Mauro Monforte; Francesca Lizzi; Francesco Santini 002; Xeni Deligianni; Niels Bergsland; Sabrina Ravaglia; Lorenzo Cavagna; Luca Diamanti; et al. (Comput. Methods Programs Biomed., 2024)