Artificial intelligence techniques for retinal prostheses: A comprehensive review and future direction

C Wang, C Fang, Y Zou, J Yang… - Journal of Neural …, 2023 - iopscience.iop.org
Objective. Retinal prostheses are promising devices to restore vision for patients with severe
age-related macular degeneration or retinitis pigmentosa disease. The visual processing …

The application of computer vision to visual prosthesis

J Wang, H Zhu, J Liu, H Li, Y Han, R Zhou… - Artificial …, 2021 - Wiley Online Library
A visual prosthesis is an auxiliary device for patients with blinding diseases that cannot be
treated with conventional surgery or drugs. It converts captured images into corresponding …

Deep learning–based scene simplification for bionic vision

N Han, S Srivastava, A Xu, D Klein… - Proceedings of the …, 2021 - dl.acm.org
Retinal degenerative diseases cause profound visual impairment in more than 10 million
people worldwide, and retinal prostheses are being developed to restore vision to these …

Image processing strategies based on saliency segmentation for object recognition under simulated prosthetic vision

H Li, X Su, J Wang, H Kan, T Han, Y Zeng… - Artificial intelligence in …, 2018 - Elsevier
Background and objective Current retinal prostheses can only generate low-resolution
visual percepts constituted of limited phosphenes which are elicited by an electrode array …

A systematic review of extended reality (XR) for understanding and augmenting vision loss

J Kasowski, BA Johnson, R Neydavood… - Journal of …, 2023 - jov.arvojournals.org
Over the past decade, extended reality (XR) has emerged as an assistive technology not
only to augment residual vision of people losing their sight but also to study the rudimentary …

Pre‐processing visual scenes for retinal prosthesis systems: A comprehensive review

HA Holiel, SA Fawzi, W Al‐Atabany - Artificial Organs, 2024 - Wiley Online Library
Background Retinal prostheses offer hope for individuals with degenerative retinal diseases
by stimulating the remaining retinal cells to partially restore their vision. This review delves …

A spiking neural network model for obstacle avoidance in simulated prosthetic vision

C Ge, N Kasabov, Z Liu, J Yang - Information Sciences, 2017 - Elsevier
Limited by visual percepts elicited by existing visual prosthesis, it's necessary to enhance its
functionality to fulfill some challenging tasks for the blind such as obstacle avoidance. This …

Semantic translation of face image with limited pixels for simulated prosthetic vision

X Xia, X He, L Feng, X Pan, N Li, J Zhang, X Pang… - Information …, 2022 - Elsevier
Facial perception and cognition are among the most critical functions of retinal prostheses
for blind people. However, owing to the limitations of the electrode array, simulated …

Optimization of visual information presentation for visual prosthesis

F Guo, Y Yang, Y Gao - International journal of biomedical …, 2018 - Wiley Online Library
Visual prosthesis applying electrical stimulation to restore visual function for the blind has
promising prospects. However, due to the low resolution, limited visual field, and the low …

Global activity shaping strategies for a retinal implant

MJ Spencer, T Kameneva, DB Grayden… - Journal of Neural …, 2019 - iopscience.iop.org
Objective. Retinal prostheses provide visual perception via electrical stimulation of the retina
using an implanted array of electrodes. The retinal activation resulting from each electrode is …