44 citations · 45 across the 3 of their papers we have counts for
3 papers
A deep learning framework for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography
Roy Schwartz, Hagar Khalid, Sandra Liakopoulos +12
Purpose - To develop and validate a deep learning (DL) framework for the detection and quantification of drusen and reticular pseudodrusen (RPD) on optical coherence tomography sca…
Unsupervised cross domain learning with applications to 7 layer segmentation of OCTs
Yue Wu, Abraham Olvera Barrios, Ryan Yanagihara +4
Unsupervised cross domain adaptation for OCT 7 layer segmentation and other medical applications where labeled training data is only available in a source domain and unavailable in…
Generating retinal flow maps from structural optical coherence tomography with artificial intelligence
Cecilia S. Lee, Ariel J. Tyring, Yue Wu +7
Despite significant advances in artificial intelligence (AI) for computer vision, its application in medical imaging has been limited by the burden and limits of expert-generated l…