DEEPRGVP: A novel microstructure-informed supervised contrastive learning framework for automated identification of the retinogeniculate pathway using dMRI tractography-Reference-Cited by-同舟云学术

DEEPRGVP: A novel microstructure-informed supervised contrastive learning framework for automated identification of the retinogeniculate pathway using dMRI tractography

Published:2023-04-18 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
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Author:

Li Sipei¹,He Jianzhong²,Xue Tengfei²,Xie Guoqiang²,Yao Shun²,Chen Yuqian²,Torio Erickson F.²,Feng Yuanjing³,Bastos Dhiego CA²,Rathi Yogesh²,Makris Nikos²,Kikinis Ron²,Bi Wenya Linda²,Golby Alexandra J²,O’Donnell Lauren J²,Zhang Fan²

Affiliation:

1. University of Electronic Science and Technology of China,Chengdu,China

2. Harvard Medical School,Boston,USA

3. Zhejiang University of Technology,Hangzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10230311/10230322/10230833.pdf?arnumber=10230833

Reference39 articles.

1. Visualization of Cranial Nerves Using High-Definition Fiber Tractography

2. Anatomical assessment of trigeminal nerve tractography using diffusion MRI: A comparison of acquisition b-values and single- and multi-fiber tracking strategies

3. Reconstruction and dissection of the entire human visual pathway using diffusion tensor MRI

4. SlicerDMRI: Diffusion MRI and Tractography Research Software for Brain Cancer Surgery Planning and Visualization

5. Aberrant visual pathway development in albinism: From retina to cortex

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