Automating the design of resection guides specific to patient anatomy in knee replacement surgery by enhanced 3D curvature and surface modeling of distal femur shape models. - Pietro Cerveri; Alfonso Manzotti; Norberto Confalonieri; Guido Baroni (Comput. Medical Imaging Graph., 2014)

Local Shape Similarity and Mean-Shift Curvature for Deformable Surface Mapping of Anatomical Structures. - Pietro Cerveri; Alfonso Manzotti; Angelo Vanzulli; Guido Baroni (IEEE Trans. Biomed. Eng., 2014)

Deep 3D Convolutional Networks to Segment Bones Affected by Severe Osteoarthritis in CT Scans for PSI-Based Knee Surgical Planning. - Davide Marzorati; Mattia Sarti; Luca T. Mainardi; Alfonso Manzotti; Pietro Cerveri (IEEE Access, 2020)

CEL-Unet: a novel CNN architecture for 3D Segmentation of Knee Bones affected by Severe Osteoarthritis for PSI-Based Surgical Planning. - Luca Marsilio; Alberto Faglia; Matteo Rossi 001; Luca T. Mainardi; Alfonso Manzotti; Pietro Cerveri (EMBC, 2022)

Merging Contour-and Region-Aware Branches in the UNet Decoder to Enhance Osseous Segmentation in Shoulder CT Scans. - Luca Marsilio; Matteo Rossi 001; Alfonso Manzotti; Davide Marzorati; Pietro Cerveri (MetroXRAINE, 2023)

Cascade learning in multi-task encoder-decoder networks for concurrent bone segmentation and glenohumeral joint assessment in shoulder CT scans. - Luca Marsilio; Davide Marzorati; Matteo Rossi 001; Andrea Moglia; Luca T. Mainardi; Alfonso Manzotti; Pietro Cerveri (CoRR, 2024)

Cascade learning in multi-task encoder-decoder networks for concurrent bone segmentation and glenohumeral joint clinical assessment in shoulder CT scans. - Luca Marsilio; Davide Marzorati; Matteo Rossi 001; Andrea Moglia; Luca T. Mainardi; Alfonso Manzotti; Pietro Cerveri (Artif. Intell. Medicine, 2025)