Uncertainty Quantification of Cochlear Implant Insertion from CT Images. - Thomas Demarcy; Clair Vandersteen; Charles Raffaelli; Dan Gnansia; Nicolas Guevara; Nicholas Ayache; Hervé Delingette (CLIP@MICCAI, 2016)

Automated analysis of human cochlea shape variability from segmented μCT images. - Thomas Demarcy; Clair Vandersteen; Nicolas Guevara; Charles Raffaelli; Dan Gnansia; Nicholas Ayache; Hervé Delingette (Comput. Medical Imaging Graph., 2017)

Deep Learning Based Metal Artifacts Reduction in Post-operative Cochlear Implant CT Imaging. - Zihao Wang 002; Clair Vandersteen; Thomas Demarcy; Dan Gnansia; Charles Raffaelli; Nicolas Guevara; Hervé Delingette (MICCAI (6), 2019)

A Deep Learning based Fast Signed Distance Map Generation. - Zihao Wang 002; Clair Vandersteen; Thomas Demarcy; Dan Gnansia; Charles Raffaelli; Nicolas Guevara; Hervé Delingette (CoRR, 2020)

Inner-ear augmented metal artifact reduction with simulation-based 3D generative adversarial networks. - Zihao Wang 002; Clair Vandersteen; Thomas Demarcy; Dan Gnansia; Charles Raffaelli; Nicolas Guevara; Hervé Delingette (Comput. Medical Imaging Graph., 2021)

Bayesian Logistic Shape Model Inference: application to cochlea image segmentation. - Zihao Wang 002; Thomas Demarcy; Clair Vandersteen; Dan Gnansia; Charles Raffaelli; Nicolas Guevara; Hervé Delingette (CoRR, 2021)

Bayesian logistic shape model inference: Application to cochlear image segmentation. - Zihao Wang 002; Thomas Demarcy; Clair Vandersteen; Dan Gnansia; Charles Raffaelli; Nicolas Guevara; Hervé Delingette (Medical Image Anal., 2022)