Publications (6)
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…
3D Facial Matching by Spiral Convolutional Metric Learning and a Biometric Fusion-Net of Demographic Properties
Soha Sadat Mahdi, Nele Nauwelaers, Philip Joris +8
Face recognition is a widely accepted biometric verification tool, as the face contains a lot of information about the identity of a person. In this study, a 2-step neural-based pi…
A Consistent Feature Screening Approach for Tensor Responses with Applications to Genome-Wide Facial Shape Association
Shaofei Zhao, Zuofeng Shang, Seth M. Weinberg +3
As data collecting technologies advance, data structures are getting more and more complex, from single vectors to multi-dimensional tensors. This article is motivated by a variabl…
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…
Unsupervised Diffeomorphic Surface Registration and Non-Linear Modelling
Balder Croquet, Daan Christiaens, Seth M. Weinberg +3
Registration is an essential tool in image analysis. Deep learning based alternatives have recently become popular, achieving competitive performance at a faster speed. However, ma…
Manifold Data Analysis with Applications to High-Frequency 3D Imaging
Hyun Bin Kang, Matthew Reimherr, Mark Shriver +1
Many scientific areas are faced with the challenge of extracting information from large, complex, and highly structured data sets. A great deal of modern statistical work focuses o…