Automated Detection of Central Retinal Artery Occlusion Using OCT Imaging via Explainable Deep Learning
Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
Authors
- Karl Ulrich Bartz‐Schmidt (ORCID: https://orcid.org/0000-0001-8031-7478)
- Sven Poli (ORCID: https://orcid.org/0000-0002-0286-8781)
- D. Wénzel (ORCID: https://orcid.org/0000-0003-0714-3648)
- Martin S. Spitzer (ORCID: https://orcid.org/0000-0002-4588-1767)
- Carsten Grohmann
- Maximilian Schultheiß (ORCID: https://orcid.org/0000-0002-6537-3153)
- Ansgar Beuse (ORCID: https://orcid.org/0000-0003-4562-0927)
Institutions
- Universität Hamburg (DE)
- University Medical Center Hamburg-Eppendorf (DE)
- University Children's Hospital Tübingen (DE)
- Hertie Institute for Clinical Brain Research (DE)
- STZ eyetrial (DE)
Publication Details
- Journal
- Ophthalmology Science
- Published
- 2024-10-16
- DOI
- https://doi.org/10.1016/j.xops.2024.100630
- Citations
- 8
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 3.23