A Physics-Informed Diffusion Model for Super-Resolved Reconstruction of Optical Coherence Tomography Data
This work harnesses the power of diffusion models for super-resolution in OCT images. Such development could potentially enhance cellular-resolution OCT imaging of ophthalmic tissues, where high-fidelity images are crucial for accurate diagnosis.
Authors
- Kostadinka Bizheva (ORCID: https://orcid.org/0000-0001-6031-5272)
- Alexander Wong (ORCID: https://orcid.org/0009-0009-9781-5479)
- Nima Abbasi (ORCID: https://orcid.org/0000-0003-3299-6247)
Institutions
- University of Waterloo (CA)
Publication Details
- Journal
- IEEE Transactions on Biomedical Engineering
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1109/tbme.2025.3556794
- Citations
- 1
- Primary Topic
- Photoacoustic and Ultrasonic Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.67