Federico Bolelli
Intelligenza artificiale e ricerca biomedica · Dottorato in Medicina Clinica e Sperimentale · Invited Seminar

Intelligenza Artificiale: Prospettive in Campo di Ricerca nel Medical Imaging

Dove l’intelligenza artificiale aiuta davvero, e che cosa le manca

Datasets · Multimodal Data · Privacy · Foundation Models

Federico Bolelli — AImageLab, University of Modena and Reggio Emilia
federico.bolelli@unimore.it · January 19, 2026 · Aula Magna, Facoltà di Medicina e Chirurgia, Modena

Datasets We Build and Share

Progress in medical imaging is limited by data before it is limited by models: shared cohorts, expert segmentations and a benchmark everyone can be measured against.

Segmenting the Inferior Alveolar Canal in CBCT Volumes: the ToothFairy Challenge

Federico Bolelli, Luca Lumetti, Shankeeth Vinayahalingam, ..., Alexandre Anesi, Costantino Grana

IEEE Transactions on Medical Imaging, Dec 2024

ToothFairy: segmenting the inferior alveolar canal in CBCT volumes.

Multi-Structure Segmentation in CBCT Volumes: the ToothFairy2 Challenge

Federico Bolelli, Luca Lumetti, Niels van Nistelrooij, Shankeeth Vinayahalingam, Mattia Di Bartolomeo, Kevin Marchesini, Arrigo Pellacani, Ettore Candeloro, Gabriele Rosati, Tong Xi, Fabian Isensee, Yannick Kirchhoff, Lars Krämer, Maximilian Rokuss, Constantin Ulrich, Klaus Maier-Hein, Yuxian Jiang, Yusheng Liu, Lisheng Wang, Haoshen Wang, Siyu Chen, Zhiming Cui, Pengcheng Shi, Zhaohong Pan, Xiaokun Liang, Qi Ma, Ender Konukoglu, Marek Wodzinski, Henning Müller, Haipeng Mai, Xiaobing Dang, Shrajan Bhandary, Radu Grosu, Stefaan Bergé, Alexandre Anesi, Costantino Grana

Medical Image Analysis, April 2026

ToothFairy2: multi-structure segmentation, 42 classes.

ToothFairy3: Scaling CBCT Maxillofacial Segmentation to 77 Classes with U-Mamba2

Luca Lumetti, Zhi Qin Tan, Lorenzo Borghi, Niels van Nistelrooij, Gabriele Rosati, Owen Addison, Yupeng Li, Shankeeth Vinayahalingam, Costantino Grana, Federico Bolelli

Medical Image Computing and Computer Assisted Intervention – MICCAI 2026, May 2026

ToothFairy3: scaling to 77 classes with U-Mamba2.

IM-Fuse: A Mamba-based Fusion Block for Brain Tumor Segmentation with Incomplete Modalities

Vittorio Pipoli, Alessia Saporita, Kevin Marchesini, Costantino Grana, Elisa Ficarra, Federico Bolelli

Medical Image Computing and Computer Assisted Intervention – MICCAI 2025, May 2025

IM-Fuse: brain tumour segmentation with incomplete modalities.

ToothFairy on Grand Challenge

The challenge portal for the whole series

Ditto — the AImageLab dataset platform

Where our datasets are versioned, documented and shared

Multimodal Data and the Platform Around It

A patient is more than a volume. Collecting images, reports and metadata together means putting the annotation protocol into the infrastructure rather than into a manual.

Do Multimodal LLMs Understand Intraoral Dental Data? Dataset, Platform, and Baselines

Luca Lumetti, Federico Rizzo, Francesca Cremonini, Ettore Candeloro, Luca Lombardo, Costantino Grana, Federico Bolelli

European Conference on Computer Vision (ECCV), June 2026

Do multimodal LLMs understand intraoral dental data? Dataset, platform and baselines.

Ontology-Grounded Structured Prediction for Dental CBCT Reporting

Luca Lumetti, Mattia Di Bartolomeo, Arrigo Pellacani, Alexandre Anesi, Costantino Grana, Federico Bolelli

Medical Image Computing and Computer Assisted Intervention – MICCAI 2026, June 2026

Ontology-grounded structured prediction for dental CBCT reporting.

AImageLab-zip on GitHub

Code for the work above, and more

Our Research Group

None of this is single-author work. Code for the papers above lives in our group GitHub organization.

AImageLab-zip on GitHub

Our group GitHub organization — code for the works above and more

AImageLab

AImageLab, University of Modena and Reggio Emilia

Something missing or a broken link? Let me know. A complete list of publications is available on the publications page.