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Automated retinal fovea type distinction in spectral-domain optical coherence tomography of retinal vein occlusion.

, , , , , and . Medical Imaging: Image Processing, volume 9413 of SPIE Proceedings, page 94133D. SPIE, (2015)

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Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data., , , , , , , , and . CoRR, (2018)Spatio-Temporal Signatures to Predict Retinal Disease Recurrence., , , , , , , and . IPMI, volume 9123 of Lecture Notes in Computer Science, page 152-163. Springer, (2015)U2-Net: A Bayesian U-Net Model With Epistemic Uncertainty Feedback For Photoreceptor Layer Segmentation In Pathological OCT Scans., , , , , , , and . ISBI, page 1441-1445. IEEE, (2019)Identifying and Categorizing Anomalies in Retinal Imaging Data., , , , , , , and . CoRR, (2016)Geodesic denoising for optical coherence tomography images., , , , , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97840K. SPIE, (2016)Automated vessel shadow segmentation of fovea-centered spectral-domain images from multiple OCT devices., , , , and . Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 903403. SPIE, (2014)RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge., , , , , , , , , and 22 other author(s). IEEE Trans. Med. Imaging, 38 (8): 1858-1874 (2019)Predicting Macular Edema Recurrence from Spatio-Temporal Signatures in Optical Coherence Tomography Images., , , , and . IEEE Trans. Med. Imaging, 36 (9): 1773-1783 (2017)Automated Fovea Detection in Spectral Domain Optical Coherence Tomography Scans of Exudative Macular Disease., , , , , and . Int. J. Biomedical Imaging, (2016)Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data., , , , , , , , and . IEEE Trans. Med. Imaging, 38 (4): 1037-1047 (2019)