6 citations · 6 across the 3 of their papers we have counts for
4 papers
Bayesian Logistic Shape Model Inference: application to cochlea image segmentation
Wang Zihao, Demarcy Thomas, Vandersteen Clair +4
Incorporating shape information is essential for the delineation of many organs and anatomical structures in medical images. While previous work has mainly focused on parametric sp…
Inner-ear Augmented Metal Artifact Reduction with Simulation-based 3D Generative Adversarial Networks
Wang Zihao, Vandersteen Clair, Demarcy Thomas +4
Metal Artifacts creates often difficulties for a high quality visual assessment of post-operative imaging in {c}omputed {t}omography (CT). A vast body of methods have been proposed…
A Deep Learning based Fast Signed Distance Map Generation
Zihao Wang, Clair Vandersteen, Thomas Demarcy +4
Signed distance map (SDM) is a common representation of surfaces in medical image analysis and machine learning. The computational complexity of SDM for 3D parametric shapes is oft…
Robust Cochlear Modiolar Axis Detection in CT
Wilhelm Wimmer, Clair Vandersteen, Nicolas Guevara +2
The cochlea, the auditory part of the inner ear, is a spiral-shaped organ with large morphological variability. An individualized assessment of its shape is essential for clinical…