2 papers
cs.CV2025
An Autoencoder and Vision Transformer-based Interpretability Analysis of the Differences in Automated Staging of Second and Third Molars
Barkin Buyukcakir, Jannick De Tobel, Patrick Thevissen +2
The practical adoption of deep learning in high-stakes forensic applications, such as dental age estimation, is often limited by the 'black box' nature of the models. This study in…
cs.CV2025
Attention Maps in 3D Shape Classification for Dental Stage Estimation with Class Node Graph Attention Networks
Barkin Buyukcakir, Rocharles Cavalcante Fontenele, Reinhilde Jacobs +4
Deep learning offers a promising avenue for automating many recognition tasks in fields such as medicine and forensics. However, the black-box nature of these models hinders their…