About

My research focuses on machine learning for 3D Computed Tomography analysis, with applications to abnormality classification and automated report generation. Previously, I worked at Centre Leon Berard and Thales as an AI Research Intern.

Publications

UniCT
UniCT: A Unified Joint Multi-Task Framework for 3D Chest CT Abnormality Analysis
Theo Di Piazza, Carole Lazarus, Olivier Nempont and Loic Boussel
MICCAI 2026 Spotlight Early accept
UniCT
ChronoSurv: A Clinical Pathway-Guided Graph Framework for Multimodal Survival Analysis
Hugo Miccinilli* and Theo Di Piazza*
MICCAI 2026
Structured Spectral Graph Learning
Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans
Theo Di Piazza, Carole Lazarus, Olivier Nempont and Loic Boussel
MELBA 2026 MICCAI WS 2025 Oral
CT-Scroll
Imitating Radiological Scrolling: A Global-Local Attention Model for 3D Chest CT Volumes Multi-Label Anomaly Classification
Theo Di Piazza, Carole Lazarus, Olivier Nempont and Loic Boussel
MIDL 2025 Oral
CT-AGRG
CT-AGRG: Automated Abnormality-Guided Report Generation from 3D Chest CT Volumes
Theo Di Piazza, Carole Lazarus, Olivier Nempont and Loic Boussel
ISBI 2025 Oral
UAV localization
Leveraging Edge Detection and Neural Networks for better UAV localization
Theo Di Piazza, Enric Meinhardt-Llopis, Gabriele Facciolo, Bénédicte Bascle, Corentin Abgrall and Jean-Clément Devaux
IGARSS 2024 Oral

Community

Conference Reviewer

Workshop Reviewer

Copyright © Theo Di Piazza  /  Last update October 2026
Inspired from here and here. Thanks!