Towards Multi-modal Anatomical Landmark Detection for Ultrasound-Guided Brain Tumor Resection with Contrastive Learning-Reference-Cited by-同舟云学术

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Towards Multi-modal Anatomical Landmark Detection for Ultrasound-Guided Brain Tumor Resection with Contrastive Learning

Published:2023 Issue: Volume: Page:668-678
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Salari Soorena,Rasoulian Amirhossein,Rivaz Hassan,Xiao Yiming

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-43996-4_64

Reference27 articles.

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2. Dolecek, T.A., Propp, J.M., Stroup, N.E., Kruchko, C.: CBTRUS statistical report: primary brain and central nervous system tumors diagnosed in the united states in 2005–2009. Neuro-oncology 14(suppl_5), v1–v49 (2012)

3. Xiao, Y., et al.: Evaluation of MRI to ultrasound registration methods for brain shift correction: the CuRIOUS2018 challenge. IEEE Trans. Med. Imaging 39(3), 777–786 (2019)

4. Yao, Q., Xiao, L., Liu, P., Zhou, S.K.: Label-free segmentation of COVID-19 lesions in lung CT. IEEE Trans. Med. Imaging 40(10), 2808–2819 (2021)

5. Lecture Notes in Computer Science;FC Ghesu,2016

Cited by 1 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. Two-step registration of rigid and non-rigid MR-iUS for brain shift compensation using transfer learning;2024 20th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP);2024-02-21

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