Deep Multimodal Fusion Network for the Retinogeniculate Visual Pathway Segmentation-Reference-Cited by-同舟云学术

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Deep Multimodal Fusion Network for the Retinogeniculate Visual Pathway Segmentation

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 42nd Chinese Control Conference (CCC)
language:
Short-container-title:

Author:

Xie Lei¹,Yang Lin¹,Zeng Qingrun¹,He Jianzhong¹,Huang Jiahao¹,Feng Yuanjing¹,Amelina Evgeniya²,Amelin Mihail²

Affiliation:

1. College of Information Engineering, Zhejiang University of Technology,Hangzhou,China,310023

2. Novosibirsk State University,Novosibirsk,Russia

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10239690/10239711/10240807.pdf?arnumber=10240807

Reference21 articles.

1. Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation

2. Spatial Probabilistic Distribution Map Based 3D FCN for Visual Pathway Segmentation

3. Joint Multi-Fiber NODDI Parameter Estimation and Tractography Using the Unscented Information Filter

4. Semi-supervised region-connectivity-based cerebrovascular segmentation for time-of-flight magnetic resonance angiography image

5. Robust non-local multi-atlas segmentation of the optic nerve

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. Lesen: Label-Efficient Deep Learning for Multi-Parametric Mri-Based Visual Pathway Segmentation;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

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