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Rotation invariant eigenvessels and auto-context for retinal vessel detection.

, , , and . Medical Imaging: Image Processing, volume 9413 of SPIE Proceedings, page 94131F. SPIE, (2015)

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Spatio-Temporal Signatures to Predict Retinal Disease Recurrence., , , , , , , and . IPMI, volume 9123 of Lecture Notes in Computer Science, page 152-163. Springer, (2015)Motion Artefact Correction in Retinal Optical Coherence Tomography Using Local Symmetry., , , , , , and . MICCAI (2), volume 8674 of Lecture Notes in Computer Science, page 130-137. Springer, (2014)Rotation invariant eigenvessels and auto-context for retinal vessel detection., , , and . Medical Imaging: Image Processing, volume 9413 of SPIE Proceedings, page 94131F. SPIE, (2015)Improve synthetic retinal OCT images with present of pathologies and textural information., , , , , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97843V. SPIE, (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)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)Stable Registration of Pathological 3D SD-OCT Scans using Retinal Vessels, , , , , and . Proceedings of MICCAI Ophtalmic Medical Image Analysis Workchop'14, (2014)