Morphology and Texture-Guided Deep Neural Network for Intracranial Aneurysm Segmentation in 3D TOF-MRA-Reference-Cited by-同舟云学术

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Morphology and Texture-Guided Deep Neural Network for Intracranial Aneurysm Segmentation in 3D TOF-MRA

Published:2024-09-11 Issue: Volume: Page:
ISSN:1559-0089
Container-title:Neuroinformatics
language:en
Short-container-title:Neuroinform

Author:

Orouskhani Maysam,Firoozeh Negar,Wang Huayu,Wang Yan,Shi Hanrui,Li Weijing,Sun Beibei,Zhang Jianjian,Li Xiao,Zhao Huilin,Mossa-Basha Mahmud,Hwang Jenq-Neng,Zhu Chengcheng

Funder

National Institutes of Health

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s12021-024-09683-5.pdf

Reference32 articles.

1. Anima, V., & Madhu, S. (2024). On the automated unruptured intracranial aneurysm segmentation from TOF-MRA using deep learning techniques. Ieee Access : Practical Innovations, Open Solutions.

2. Claux, F., Baudouin, M., Bogey, C., & Rouchaud, A. (2023). Dense, deep learning-based intracranial aneurysm detection on TOF MRI using two-stage regularized U-Net. Journal of Neuroradiology, 50(1), 9–15.

3. Di Noto, T., Marie, G., Tourbier, S., Alemán-Gómez, Y., & Richiardi, J. (2023). Towards automated brain aneurysm detection in TOF-MRA: Open data, weak labels, and anatomical knowledge. Neuroinformatics, 21(1), 21–34.

4. El Jurdi, R., Petitjean, C., Honeine, P., Cheplygina, V., & Abdallah, F. (2021). High-level prior-based loss functions for medical image segmentation: A survey. Computer Vision and Image Understanding, 210,

5. Etminan, N., & Rinkel, G. J. (2016). Unruptured intracranial aneurysms: Development, rupture and preventive management. Nature Reviews Neurology, 12(12), 699–713.

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