An infrared image‐enhancement algorithm in simulated prosthetic vision: Enlarging working environment of future retinal prostheses-Reference-Cited by-同舟云学术

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An infrared image‐enhancement algorithm in simulated prosthetic vision: Enlarging working environment of future retinal prostheses

Published:2022-04-12 Issue:11 Volume:46 Page:2147-2158
ISSN:0160-564X
Container-title:Artificial Organs
language:en
Short-container-title:Artificial Organs

Author:

Liang Junling¹,Li Heng¹^ORCID,Chen Jianpin¹,Zhai Zhenzhen²,Wang Jing³,Di Liqing⁴,Chai Xinyu¹

Affiliation:

1. School of Biomedical Engineering Shanghai Jiao Tong University Shanghai China

2. Network & Information Center Shanghai Jiao Tong University Shanghai China

3. School of Information Shanghai Ocean University Shanghai China

4. Shanghai Pudong Hospital Shanghai China

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Publisher

Wiley

Subject

Biomedical Engineering,General Medicine,Biomaterials,Medicine (miscellaneous),Bioengineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/aor.14247

Reference44 articles.

1. ZhaoY LiQ WangD YuA.Image processing strategies based on deep neural network for simulated prosthetic vision. In: 11th International Symposium on Computational Intelligence and Design (ISCID).2018;1:200–3.

2. Will Retinal Implants Restore Vision?

3. Artificial vision through neuronal stimulation

4. Retinal stimulation strategies to restore vision: Fundamentals and systems

5. Advances in retinal prosthesis systems

Cited by 2 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. Comparable Encoding, Comparable Perceptual Pattern: Acoustic and Electric Hearing;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2023

2. Clinical Progress and Optimization of Information Processing in Artificial Visual Prostheses;Sensors;2022-08-30

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