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3. Blood vessel segmentation in en-face OCTA images: a frequency based method

5. Optical coherence tomography in multiple sclerosis: A 3‐year prospective multicenter study

9. An amplified-target loss approach for photoreceptor layer segmentation in pathological OCT scans

10. Using CycleGANs for effectively reducing image variability across OCT devices and improving retinal fluid segmentation

11. U2-Net: A Bayesian U-Net model with epistemic uncertainty feedback for photoreceptor layer segmentation in pathological OCT scans

12. On orthogonal projections for dimension reduction and applications in augmented target loss functions for learning problems

13. Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data

14. Reply

17. Reproducibility of Retinal Thickness Measurements across Spectral-Domain Optical Coherence Tomography Devices using Iowa Reference Algorithm

18. Identifying and Categorizing Anomalies in Retinal Imaging Data

20. Foveal Avascular Zone Segmentation in Clinical Routine Fluorescein Angiographies Using Multitask Learning

28. Quality assessment of colour fundus and fluorescein angiography images using deep learning.

33. Spatio-Temporal Signatures to Predict Retinal Disease Recurrence

34. Reply to comment to: The impact of the vitreomacular interface on functional and anatomical outcomes in diabetic macular edema treated with three different anti-VEGF agents: post hoc analysis of the Protocol T study

38. Quality assessment of colour fundus and fluorescein angiography images using deep learning

42. VALIDATION OF AN AUTOMATED FLUID ALGORITHM ON REAL-WORLD DATA OF NEOVASCULAR AGE-RELATED MACULAR DEGENERATION OVER FIVE YEARS

45. Blood vessel segmentation in en-face OCTA images: a frequency based method

50. Guidelines for the Management of Diabetic Macular Edema by the European Society of Retina Specialists (EURETINA)

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