20 citations · 23 across the 3 of their papers we have counts for
5 papers
Self-Supervised 2D/3D Registration for X-Ray to CT Image Fusion
Srikrishna Jaganathan, Maximilian Kukla, Jian Wang +2
Deep Learning-based 2D/3D registration enables fast, robust, and accurate X-ray to CT image fusion when large annotated paired datasets are available for training. However, the nee…
Deep Iterative 2D/3D Registration
Srikrishna Jaganathan, Jian Wang, Anja Borsdorf +2
Deep Learning-based 2D/3D registration methods are highly robust but often lack the necessary registration accuracy for clinical application. A refinement step using the classical…
Bayesian Atlas Building with Hierarchical Priors for Subject-specific Regularization
Jian Wang, Miaomiao Zhang
This paper presents a novel hierarchical Bayesian model for unbiased atlas building with subject-specific regularizations of image registration. We develop an atlas construction pr…
Learning the Update Operator for 2D/3D Image Registration
Srikrishna Jaganathan, Jian Wang, Anja Borsdorf +1
Image guidance in minimally invasive interventions is usually provided using live 2D X-ray imaging. To enhance the information available during the intervention, the preoperative v…
Metric-Driven Learning of Correspondence Weighting for 2-D/3-D Image Registration
Roman Schaffert, Jian Wang, Peter Fischer +2
Registration of pre-operative 3-D volumes to intra-operative 2-D X-ray images is important in minimally invasive medical procedures. Rigid registration can be performed by estimati…