2022
DOI: 10.1016/j.oret.2022.01.021
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Linking Function and Structure with ReSensNet

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Cited by 14 publications
(7 citation statements)
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References 38 publications
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“…Most of these efforts have targeted prediction of VA from OCT images 35 , 36 . Specific to microperimetry, Seebock et al developed a deep learning model (ReSensNet) for the prediction of retinal sensitivities from OCT images with AMD 37 . In their study, specific AMD lesions were not delineated for corresponding RS prediction.…”
Section: Discussionmentioning
confidence: 99%
“…Most of these efforts have targeted prediction of VA from OCT images 35 , 36 . Specific to microperimetry, Seebock et al developed a deep learning model (ReSensNet) for the prediction of retinal sensitivities from OCT images with AMD 37 . In their study, specific AMD lesions were not delineated for corresponding RS prediction.…”
Section: Discussionmentioning
confidence: 99%
“…Macular sensitivity is associated with retinal structure and can help to predict BCVA after anti-VEGF treatment [21]. Research is also examining the use of deep learning for predicting macular sensitivity and retinal function from structural OCT scans [22]. The aim is to assess visual function indirectly by analyzing structural-imaging findings and to develop feasible methods for use in clinical settings.…”
Section: Discussionmentioning
confidence: 99%
“…The MAE for point-wise sensitivity was 2.73 decibels (dB), and the MAE for mean sensitivity was 1.66 dB. 22…”
Section: Age-related Macular Degenerationmentioning
confidence: 96%
“…19 Using images from healthy individuals and patients with nAMD and GA for training, Seebock et al trained a DL model (ReSensNet) to directly predict retinal sensitivity on MP from OCT images. 22 The model was then tested on an external dataset, consisting of eyes with DMO, retinal vein occlusion and epiretinal membrane. The MAE for point-wise sensitivity was 2.73 decibels (dB), and the MAE for mean sensitivity was 1.66 dB.…”
Section: Age-related Macular Degenerationmentioning
confidence: 99%