3D–2D registration in endovascular image-guided surgery: evaluation of state-of-the-art methods on cerebral angiograms

Author:

Mitrović Uroš,Likar Boštjan,Pernuš Franjo,Špiclin Žiga

Funder

Javna Agencija za Raziskovalno Dejavnost RS (SI)

Javna Agencija za Raziskovalno Dejavnost RS

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Radiology Nuclear Medicine and imaging,General Medicine,Surgery,Computer Graphics and Computer-Aided Design,Computer Science Applications,Computer Vision and Pattern Recognition,Biomedical Engineering

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Adaptive Thresholding based on Multi-task Learning for Refining Binary Medical Image Segmentation;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

2. Medical Image Synthesis and Statistical Reconstruction Methods;Advanced Biomedical Engineering;2023

3. Image-to-Graph Convolutional Network for 2D/3D Deformable Model Registration of Low-Contrast Organs;IEEE Transactions on Medical Imaging;2022-12

4. Full-Resolution Network and Dual-Threshold Iteration for Retinal Vessel and Coronary Angiograph Segmentation;IEEE Journal of Biomedical and Health Informatics;2022-09

5. Instrument localisation for endovascular aneurysm repair: Comparison of two methods based on tracking systems or using imaging;The International Journal of Medical Robotics and Computer Assisted Surgery;2021-09-17

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