Federico Bolelli
SIAMS 2026 · Invited Talk

Challenge nell’AI per Immagini Mediche

Esperienze e risultati

Benchmark Standardization · Annotation Infrastructure · From Masks to Reports

Federico Bolelli — AImageLab, University of Modena and Reggio Emilia
federico.bolelli@unimore.it · September 16, 2026

Download the slides PDF, 3.1 MB
On this page
  1. Benchmark Standardization
  2. Annotation Infrastructure
  3. From Masks to Reports
  4. Our Research Group

Benchmark Standardization

Progress is only measurable against a shared task, a controlled evaluation and standardized reporting. The ToothFairy series is where we put that into practice.

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.

ToothFairy on Grand Challenge

The challenge portal for the whole series

ToothFairy2 ToothFairy3

ToothFairy toolkit and baselines

Code, evaluation scripts and baselines

Annotation Infrastructure

Larger datasets need better annotation infrastructure, not just more annotators: the protocol belongs in the platform, and the data belong to the patient rather than to a file tree.

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.

Improving Segmentation of the Inferior Alveolar Nerve through Deep Label Propagation

Marco Cipriano, Stefano Allegretti, Federico Bolelli, Federico Pollastri, Costantino Grana

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2022

Deep label propagation: turning sparse annotations into dense supervision.

Ditto — the AImageLab dataset platform

Where our datasets are versioned, documented and shared

From Masks to Reports

A patient is not a volume. A segmentation is accurate but is not yet a clinical statement, so the last step is findings expressed in clinical language.

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.

PathoClass-BRCA: Reframing Pathology Report Generation as Guideline-Aligned Multi-Task Classification

Alessia Saporita, Vittorio Pipoli, Federico Bolelli, Andrea Acquaviva, Elisa Ficarra

Proceedings of the British Machine Vision Conference, Sep 2026

PATHOCLASS-BRCA: pathology report generation as guideline-aligned classification.

ReportX: The BraTS Clinical Report Dataset

Kevin Marchesini, Omar Carpentiero, Livia Del Gaudio, Francesco Farioli, Rita Cucchiara, Costantino Grana, Vittorio Cuculo, Federico Bolelli

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

ReportX: the BraTS clinical report dataset.

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.