250 citations · 462 across the 30 of their papers we have counts for
5 papers · 1 filter
Geodesic squared exponential kernel for non-rigid shape registration
Florent Jousse, Xavier Pennec, Hervé Delingette +1
This work addresses the problem of non-rigid registration of 3D scans, which is at the core of shape modeling techniques. Firstly, we propose a new kernel based on geodesic distanc…
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…
Attention for Image Registration (AiR): an unsupervised Transformer approach
Zihao Wang, Hervé Delingette
Image registration is a crucial task in signal processing, but it often encounters issues with stability and efficiency. Non-learning registration approaches rely on optimizing sim…
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…
Combining Bayesian and Deep Learning Methods for the Delineation of the Fan in Ultrasound Images
Hind Dadoun, Hervé Delingette, Anne-Laure Rousseau +2
Ultrasound (US) images usually contain identifying information outside the ultrasound fan area and manual annotations placed by the sonographers during exams. For those images to b…