activity
20182026
most citedDeep Iterative 2D/3D Registration

20 citations · 23 across the 4 of their papers we have counts for

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Showing cs.CVShow all

5 papers · 1 filter

cs.CV2026

PathoSyn: Imaging-Pathology MRI Synthesis via Disentangled Deviation Diffusion

Jian Wang, Sixing Rong, Jiarui Xing +2

We present PathoSyn, a unified generative framework for Magnetic Resonance Imaging (MRI) image synthesis that reformulates imaging-pathology as a disentangled additive deviation on…

cs.CV2021★ 20 cited

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…

cs.CV2021★ 2 cited

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…

cs.CV2021

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…

cs.CV2018

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…