M-HTP: A system for monitoring heart transplant patients. - Cristiana Larizza; Andrea Moglia; Mario Stefanelli (Artif. Intell. Medicine, 1992)

Clamping Tools of a Capsule for Monitoring the Gastrointestinal Tract Problem Analysis and Preliminary Technological Activity. - Arianna Menciassi; Samuele Gorini; Andrea Moglia; G. Pernorio; Cesare Stefanini; Paolo Dario (ICRA, 2005)

Patient Specific Surgical Simulator for the Evaluation of the Movability of Bimanual Robotic Arms. - Andrea Moglia; Giuseppe Turini; Vincenzo Ferrari; Mauro Ferrari 001; Franco Mosca (MMVR, 2011)

Basic Endovascular Skills Trainer: A surgical simulator for the training of novice practitioners of endovascular procedures. - Sara Sinceri; Marina Carbone; Michele Marconi; Andrea Moglia; Mauro Ferrari 001; Vincenzo Ferrari (EMBC, 2015)

Knowledge Artifacts to Support Dietary: The Diet Module of the PERCIVAL Project. - Fabio Sartori; Klaus Shala; Andrea Moglia; Jacopo Talpini; Marco Savi (MTSR, 2022)

5G in Healthcare: From COVID-19 to Future Challenges. - Andrea Moglia; Konstantinos Georgiou; Blagoi Marinov; Evangelos Georgiou; Raffaella Nice Berchiolli; Richard M. Satava; Alfred Cuschieri (IEEE J. Biomed. Health Informatics, 2022)

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)

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)

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data. - Lorenzo Veronese; Andrea Moglia; Luca T. Mainardi; Pietro Cerveri (CoRR, 2024)

MiniGPT-Pancreas: Multimodal Large Language Model for Pancreas Cancer Classification and Detection. - Andrea Moglia; Elia Clement Nastasio; Luca T. Mainardi; Pietro Cerveri (CoRR, 2024)

Large language models in healthcare: from a systematic review on medical examinations to a comparative analysis on fundamentals of robotic surgery online test. - Andrea Moglia; Konstantinos Georgiou; Pietro Cerveri; Luca T. Mainardi; Richard M. Satava; Alfred Cuschieri (Artif. Intell. Rev., 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)

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)