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On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems.

, , , , , , , , and . J. Math. Imaging Vis., 62 (3): 376-394 (2020)

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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)Robust Fovea Detection in Retinal OCT Imaging Using Deep Learning., , , , and . IEEE J. Biomed. Health Informatics, 26 (8): 3927-3937 (2022)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)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)Blood vessel segmentation in en-face OCTA images: a frequency based method., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Correction to: On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems., , , , , , , , and . J. Math. Imaging Vis., 62 (3): 395 (2020)Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data., , , , , , , , and . IEEE Trans. Med. Imaging, 38 (4): 1037-1047 (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)