3 citations · 5 across the 5 of their papers we have counts for
5 papers
Patient-Agnostic Synthetic Pretraining for Efficient Patient-Specific Intraoperative 2D/3D Registration
Minheng Chen, Youyong Kong
Intraoperative 2D/3D registration aligns preoperative CT volumes with intraoperative X-ray or fluoroscopic images and is essential for image-guided interventions. Recent learning-b…
Intraoperative 2D/3D Registration via Spherical Similarity Learning and Differentiable Levenberg-Marquardt Optimization
Minheng Chen, Youyong Kong
Intraoperative 2D/3D registration aligns preoperative 3D volumes with real-time 2D radiographs, enabling accurate localization of instruments and implants. A recent fully different…
Fully Differentiable Correlation-driven 2D/3D Registration for X-ray to CT Image Fusion
Minheng Chen, Zhirun Zhang, Shuheng Gu +2
Image-based rigid 2D/3D registration is a critical technique for fluoroscopic guided surgical interventions. In recent years, some learning-based fully differentiable methods have…
An Optimization-based Baseline for Rigid 2D/3D Registration Applied to Spine Surgical Navigation Using CMA-ES
Minheng Chen, Tonglong Li, Zhirun Zhang +1
A robust and efficient optimization-based 2D/3D registration framework is crucial for the navigation system of orthopedic surgical robots. It can provide precise position informati…
SpineCLUE: Automatic Vertebrae Identification Using Contrastive Learning and Uncertainty Estimation
Sheng Zhang, Minheng Chen, Junxian Wu +4
Vertebrae identification in arbitrary fields-of-view plays a crucial role in diagnosing spine disease. Most spine CT contain only local regions, such as the neck, chest, and abdome…