activity
20182022
most citedA deep learning framework for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography

44 citations · 45 across the 3 of their papers we have counts for

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Showing 2021Show all

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eess.IV2021

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…