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Automated 3-D Retinal Layer Segmentation of Macular Optical Coherence Tomography Images With Serous Pigment Epithelial Detachments., , , , , , , и . IEEE Trans. Medical Imaging, 34 (2): 441-452 (2015)A resnet-based universal method for speckle reduction in optical coherence tomography images., , , и . CoRR, (2019)A dual branch and fine-grained enhancement network for pancreatic tumor segmentation in contrast enhanced CT images., , , , , , , , и . Biomed. Signal Process. Control., (апреля 2023)Segmentation of common lesions in age-related macular degeneration based on boundary attention mechanism., , , , , , и . Medical Imaging: Image Processing, том 12464 из SPIE Proceedings, SPIE, (2023)Contrast Uncertainty Domain Alignment for Cross-Domain Pancreatic Image Segmentation., , , , , , и . ISBI, стр. 1-5. IEEE, (2023)Automatic Angle-Closure Glaucoma Screening Based on the Localization of Scleral Spur in Anterior Segment OCT., , , , и . ISBI, стр. 1387-1390. IEEE, (2020)Nonrigid registration of 3D longitudinal optical coherence tomography volumes with choroidal neovascularization., , , , , и . Medical Imaging: Image Processing, том 10133 из SPIE Proceedings, стр. 101330X. SPIE, (2017)A framework for classification and segmentation of branch retinal artery occlusion in SD-OCT., , , , и . Medical Imaging: Image Processing, том 9784 из SPIE Proceedings, стр. 978425. SPIE, (2016)Automatic lung segmentation in low-dose CT image with contrastive attention module., , , , , и . Medical Imaging: Image Processing, том 11313 из SPIE Proceedings, стр. 1131333. SPIE, (2020)An improved U-Net for nerve fibre segmentation in confocal corneal microscopy images., , , и . Medical Imaging: Image Processing, том 11313 из SPIE Proceedings, стр. 113131Z. SPIE, (2020)