Bits2Bites: Intra-oral Scans Occlusal Classification

on 2025-08-06

Authors: Lorenzo Borghi, Luca Lumetti, Francesca Cremonini, Federico Rizzo, Costantino Grana, Luca Lombardo, Federico Bolelli.

Bits2Bites is a 200 scans dataset and multi-task benchmark for predicting occlusal traits from raw 3D intra-oral scans.

Submitted to: Oral and Dental Image Analysis - ODIN, MICCAI Workshop, Sep 2025

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Lorenzo Borghi

Studente di Ingegneria informatica


Dataset and benchmark for intra-oral occlusion classification.