ArticlePloS one2020
Semantic and structural image segmentation for prosthetic vision.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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The trial behind it
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Who cites it
21 citing papers in PubMed.
- Intelligent Visual Prioritization for Retinal Prostheses via Context-Aware Object Ranking and Depth-Aware Phosphene Generation.Biomimetics (Basel, Switzerland) · 2026Article
- Neural Vision Restoration in Ophthalmology.Annals of biomedical engineering · 2026Review
- Visual Neurorestoration: An Expert Review of Current Strategies for Restoring Vision in Humans.Brain sciences · 2025Review
- Simulated prosthetic vision confirms checkerboard as an effective raster pattern for epiretinal implants.Journal of neural engineering · 2025Article
- Face and Available Chair Detection and Localization With a Second-Generation (44-Channel) Suprachoroidal Retinal Prosthesis.Translational vision science & technology · 2025Observational
- Machine Learning Techniques for Simulating Human Psychophysical Testing of Low-Resolution Phosphene Face Images in Artificial Vision.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Static or Temporal? Semantic Scene Simplification to Aid Wayfinding in Immersive Simulations of Bionic Vision.Proceedings of the ACM Symposium on Virtual Reality Software and Technology. ACM Symposium on Virtual Reality Software and Technology · 2025Article
- Visual Prostheses in the Era of Artificial Intelligence Technology.Eye and brain · 2025Review
- Aligning Visual Prosthetic Development With Implantee Needs.Translational vision science & technology · 2024Article
- Aligning visual prosthetic development with implantee needs.medRxiv : the preprint server for health sciences · 2024Article
- Article
- An actor-model framework for visual sensory encoding.Nature communications · 2024Article
- A novel simulation paradigm utilising MRI-derived phosphene maps for cortical prosthetic vision.Journal of neural engineering · 2023Article
- Object recognition and localization enhancement in visual prostheses: a real-time mixed reality simulation.Biomedical engineering online · 2022Article
- Towards aJournal of neural engineering · 2022Article
- Clinical Progress and Optimization of Information Processing in Artificial Visual Prostheses.Sensors (Basel, Switzerland) · 2022Review
- Real-world indoor mobility with simulated prosthetic vision: The benefits and feasibility of contour-based scene simplification at different phosphene resolutions.Journal of vision · 2022Article
- End-to-end optimization of prosthetic vision.Journal of vision · 2022Article
- Adaptive kernel selection network with attention constraint for surgical instrument classification.Neural computing & applications · 2022Article
- Toward Long-Term Communication With the Brain in the Blind by Intracortical Stimulation: Challenges and Future Prospects.Frontiers in neuroscience · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prosthetic vision is being applied to partially recover the retinal stimulation of visually impaired people. However, the phosphenic images produced by the implants have very limited information bandwidth due to the poor resolution and lack of color or contrast. The ability of object recognition and scene understanding in real environments is severely restricted for prosthetic users. Computer vision can play a key role to overcome the limitations and to optimize the visual information in the prosthetic vision, improving the amount of information that is presented. We present a new approach to build a schematic representation of indoor environments for simulated phosphene images. The proposed method combines a variety of convolutional neural networks for extracting and conveying relevant information about the scene such as structural informative edges of the environment and silhouettes of segmented objects. Experiments were conducted with normal sighted subjects with a Simulated Prosthetic Vision system. The results show good accuracy for object recognition and room identification tasks for indoor scenes using the proposed approach, compared to other image processing methods.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.