output
20182023
most citedForecasting Future Humphrey Visual Fields Using Deep Learning

151 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing eess.IVShow all

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eess.IV2022★ 44 cited

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…

eess.IV2021★ 18 cited

Learning to Address Intra-segment Misclassification in Retinal Imaging

Yukun Zhou, Moucheng Xu, Yipeng Hu +4

Accurate multi-class segmentation is a long-standing challenge in medical imaging, especially in scenarios where classes share strong similarity. Segmenting retinal blood vessels i…