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Federico Bolelli

f.bolelli

  •  Italy
  •  University of Modena and Reggio Emilia
  •  Department of Engineering "Enzo Ferrari"
  •  Website
Statistics
  • Member for 1 year, 11 months
  • 3 challenge submissions

Activity Overview

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ToothFairy: Cone-Beam Computed Tomography Segmentation Challenge
Challenge Editor

This is the first edition of the ToothFairy challenge organized by the University of Modena and Reggio Emilia with the collaboration of Raudboud University. This challenge aims at pushing the development of deep learning frameworks to segment the Inferior Alveolar Canal (IAC) by incrementally extending the amount of publicly available 3D-annotated Cone Beam Computed Tomography (CBCT) scans. CBCT modality is becoming increasingly important for treatment planning and diagnosis in implant dentistry and maxillofacial surgery. The three-dimensional information acquired with CBCT can be crucial to plan a vast number of surgical interventions with the aim of preserving noble anatomical structures such as the Inferior Alveolar Canal (IAC), which contains the homonymous nerve (Inferior Alveolar Nerve, IAN). Deep learning models can support medical personnel in surgical planning procedures by providing a voxel-level segmentation of the IAN automatically extracted from CBCT scans.

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ToothFairy2: Multi-Structure Segmentation in CBCT Volumes
Challenge Editor

This is the second edition of the ToothFairy challenge organized by the University of Modena and Reggio Emilia with the collaboration of Radboud University Medical Center. The challenge is hosted by grand-challenge and is part of MICCAI2024.