optical coherence tomography
PulseAugur coverage of optical coherence tomography — every cluster mentioning optical coherence tomography across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New method enhances optical coherence tomography image quality for macular degeneration diagnosis
Researchers have developed a novel test-time adaptation method using flow matching to improve image quality in optical coherence tomography (OCT). This technique addresses inconsistencies in OCT images, particularly fro…
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AI Synthesizes Retinal Angiography Using Multi-Modal Imaging
Researchers have developed a new framework to synthesize fluorescein angiography (FFA) from fundus images and optical coherence tomography (OCT) scans. This method addresses limitations of previous approaches that relie…
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EyeMVP model enhances retinal analysis using paired CFP-OCT pretraining
Researchers have developed EyeMVP, a novel foundation model for retinal image analysis that integrates data from both color fundus photography (CFP) and optical coherence tomography (OCT). Pretrained on a large dataset …
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New Re-M3Dr framework improves multimodal regression for eye disease prediction
Researchers have developed a new multimodal regression framework called Re-M3Dr to improve the prediction of Mean Deviation (MD) in ophthalmology. While combining Optical Coherence Tomography (OCT) and fundus photograph…
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Survey reviews representation learning for retinal OCT image analysis
This paper surveys representation learning methods applied to Optical Coherence Tomography (OCT) images in ophthalmology. It reviews techniques from early deep learning to current foundation models and vision-language s…
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AI model detects retinal abnormalities without expert annotations
Researchers have developed a novel unsupervised anomaly detection framework for Optical Coherence Tomography (OCT) imaging, aiming to overcome the reliance on expert annotations for diagnosing retinal disorders. This ne…