Smart Textiles and Sensorized Garments for Physiological Monitoring: A Review of Available Solutions and Techniques. - Alessandra Angelucci; Matteo Cavicchioli; Ilaria A. Cintorrino; Giuseppe Lauricella; Chiara Rossi; Sara Strati; Andrea Aliverti (Sensors, 2021)

Automatic Liver Vessels Segmentation Using ResDense UNet And An Appropriate Preprocessing Pipeline. - Matteo Cavicchioli; Ludovica Pierelli; Giacomo Pugliese; Pietro Cerveri (MetroXRAINE, 2023)

Main challenges on the curation of large scale datasets for pancreas segmentation using deep learning in multi-phase CT scans: Focus on cardinality, manual refinement, and annotation quality. - Matteo Cavicchioli; Andrea Moglia; Ludovica Pierelli; Giacomo Pugliese; Pietro Cerveri (Comput. Medical Imaging Graph., 2024)

Deep Learning for Pancreas Segmentation: a Systematic Review. - Andrea Moglia; Matteo Cavicchioli; Luca T. Mainardi; Pietro Cerveri (CoRR, 2024)

D2-RD-UNet: A dual-stage dual-class framework with connectivity correction for hepatic vessels segmentation. - Matteo Cavicchioli; Andrea Moglia; Guillaume Garret; Martina Puglia; Antoine Vacavant; Giacomo Pugliese; Pietro Cerveri (Comput. Biol. Medicine, 2025)

Generalist Models in Medical Image Segmentation: A Survey and Performance Comparison with Task-Specific Approaches. - Andrea Moglia; Matteo Leccardi; Matteo Cavicchioli; Alice Maccarini; Marco Marcon; Luca T. Mainardi; Pietro Cerveri (CoRR, 2025)

Deep learning for pancreas segmentation on computed tomography: a systematic review. - Andrea Moglia; Matteo Cavicchioli; Luca T. Mainardi; Pietro Cerveri (Artif. Intell. Rev., 2025)