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Corneal Endothelial Cell Segmentation by Classifier-Driven Merging of Oversegmented Images.

, , , , , , and . IEEE Trans. Med. Imaging, 37 (10): 2278-2289 (2018)

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Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study., , , , , , and . CoRR, (2019)Event-based progression detection strategies using scanning laser polarimetry images of the human retina., , , , , and . Comput. Biol. Medicine, 41 (9): 857-864 (2011)Loosely coupled level sets for simultaneous 3D retinal layer segmentation in optical coherence tomography., , , , , and . Medical Image Anal., 26 (1): 146-158 (2015)Automatic detection of the region of interest in corneal endothelium images using dense convolutional neural networks., , , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 1094931. SPIE, (2019)Detecting Wedge Shaped Defects in Polarimetric Images of the Retinal Nerve Fiber Layer., , , and . MICCAI (1), volume 2488 of Lecture Notes in Computer Science, page 777-784. Springer, (2002)DenseUNets with feedback non-local attention for the segmentation of specular microscopy images of the corneal endothelium with guttae., , , , , , and . CoRR, (2022)Convolutional neural network-based regression for biomarker estimation in corneal endothelium microscopy images., , , , and . EMBC, page 876-881. IEEE, (2019)Progression Detection of Glaucoma from Polarimetric Images., , , , and . MICCAI (2), volume 2879 of Lecture Notes in Computer Science, page 611-619. Springer, (2003)Loosely coupled level sets for retinal layer segmentation in optical coherence tomography., , , , and . ISBI, page 1010-1013. IEEE, (2013)Patterns of retinal nerve fiber layer loss in patients with glaucoma identified by deep archetypal analysis., , , , , , , , , and 2 other author(s). IEEE BigData, page 3775-3782. IEEE, (2020)