Face and Available Chair Detection and Localization With a Second-Generation (44-Channel) Suprachoroidal Retinal Prosthesis
New VP algorithms can improve the localization of specific object types while using the second-generation suprachoroidal retinal prosthesis.
Authors
- Maria Kolic (ORCID: https://orcid.org/0000-0002-8877-3264)
- Janine G. Walker (ORCID: https://orcid.org/0000-0002-9223-8950)
- Penelope J. Allen (ORCID: https://orcid.org/0000-0001-5916-1253)
- Lorinna Lombardi (ORCID: https://orcid.org/0009-0001-9259-2669)
- Nick M. Barnes (ORCID: https://orcid.org/0000-0002-9343-9535)
- Carla J. Abbott (ORCID: https://orcid.org/0000-0002-1432-8977)
- Elizabeth K. Baglin (ORCID: https://orcid.org/0000-0002-1754-9310)
- Matthew A. Petoe (ORCID: https://orcid.org/0000-0002-1865-3566)
- Samuel Stefopoulos
- Xerxes Battiwalla
- Lauren Moussallem
Institutions
- Australian National University (AU)
- Commonwealth Scientific and Industrial Research Organisation (AU)
- Bionics Institute (AU)
- The University of Melbourne (AU)
- The Royal Victorian Eye & Ear Hospital (AU)
- Centre for Eye Research Australia (AU)
- CSIRO Health and Biosecurity (AU)
Publication Details
- Journal
- Translational Vision Science & Technology
- Published
- 2025-05-08
- DOI
- https://doi.org/10.1167/tvst.14.5.11
- Citations
- 2
- Primary Topic
- Neuroscience and Neural Engineering
- Type
- article
- Field-Weighted Citation Impact
- 1.82
Funders
- Australian Government
- State Government of Victoria
- MTPConnect
- National Health and Medical Research Council