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Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT., , , , , , , and . CoRR, (2019)Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT., , , , , , , and . IEEE Trans. Med. Imaging, 39 (1): 87-98 (2020)Using Cyclegans for Effectively Reducing Image Variability Across OCT Devices and Improving Retinal Fluid Segmentation., , , , , , , and . ISBI, page 605-609. IEEE, (2019)Image intensity standardization in 3D rotational angiography and its application to vascular segmentation., , , , and . Medical Imaging: Image Processing, volume 6914 of SPIE Proceedings, page 691419. SPIE, (2008)SD-LayerNet: Semi-supervised Retinal Layer Segmentation in OCT Using Disentangled Representation with Anatomical Priors., , , , , , and . MICCAI (8), volume 13438 of Lecture Notes in Computer Science, page 320-329. Springer, (2022)Anomaly guided segmentation: Introducing semantic context for lesion segmentation in retinal OCT using weak context supervision from anomaly detection., , , , , and . Medical Image Anal., (2024)AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography., , , , , , , , , and 15 other author(s). CoRR, (2020)GAMMA challenge: Glaucoma grAding from Multi-Modality imAges., , , , , , , , , and 19 other author(s). Medical Image Anal., (December 2023)Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT., , , , , , , , , and 1 other author(s). CoRR, (2024)3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression From Longitudinal OCTs., , , , , , , , , and 3 other author(s). IEEE Trans. Medical Imaging, 43 (9): 3200-3210 (September 2024)