Výsledky vyhledávání - "Zhang, Zhirun"

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Introducing Learning Rate Adaptation CMA-ES into Rigid 2D/3D Registration for Robotic Navigation in Spine Surgery

The covariance matrix adaptive evolution strategy (CMA-ES) has been widely used in the field of 2D/3D registration in recent years. This optimization method exhibits exceptional robustness and usability for complex surgical scenarios. However, due to

Externí odkaz: http://arxiv.org/abs/2405.10186

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An Optimization-based Baseline for Rigid 2D/3D Registration Applied to Spine Surgical Navigation Using CMA-ES

Autor: Chen, Minheng, Li, Tonglong, Zhang, Zhirun, Kong, Youyong

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 information of surgical instruments and implants during surgery. While artifici

Externí odkaz: http://arxiv.org/abs/2402.05642

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Fully Differentiable Correlation-driven 2D/3D Registration for X-ray to CT Image Fusion

Autor: Chen, Minheng, Zhang, Zhirun, Gu, Shuheng, Ge, Zhangyang, Kong, Youyong

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 produced beneficial outcomes while the process of feature extraction a

Externí odkaz: http://arxiv.org/abs/2402.02498

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Embedded Feature Similarity Optimization with Specific Parameter Initialization for 2D/3D Medical Image Registration

Autor: Chen, Minheng, Zhang, Zhirun, Gu, Shuheng, Kong, Youyong

We present a novel deep learning-based framework: Embedded Feature Similarity Optimization with Specific Parameter Initialization (SOPI) for 2D/3D medical image registration which is a most challenging problem due to the difficulty such as dimensiona

Externí odkaz: http://arxiv.org/abs/2305.06252

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