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Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images., , , , , , , и . Medical Image Anal., 17 (8): 929-945 (2013)Group-wise attention fusion network for choroid segmentation in OCT images., , , , , , , , и . Medical Imaging: Image Processing, том 11313 из SPIE Proceedings, стр. 1131332. SPIE, (2020)Active shape dictionary for automatic segmentation of pathological lung in low-dose CT image., , , , , , и . Medical Imaging: Image Processing, том 10949 из SPIE Proceedings, стр. 1094926. SPIE, (2019)Fully automated detection and quantification of multiple retinal lesions in OCT volumes based on deep learning and improved DRLSE., , и . Medical Imaging: Image Processing, том 10949 из SPIE Proceedings, стр. 1094933. SPIE, (2019)Generation of retinal OCT images with diseases based on cGAN., , , , и . Medical Imaging: Image Processing, том 10949 из SPIE Proceedings, стр. 1094924. SPIE, (2019)Simultaneous and automatic two surface detection of renal cortex in 3D CT images by enhanced sparse shape composition., , , и . Medical Imaging: Image Processing, том 10949 из SPIE Proceedings, стр. 109492D. SPIE, (2019)A framework for retinal layer intensity analysis for retinal artery occlusion patient based on 3D OCT., , , и . Medical Imaging: Image Processing, том 9034 из SPIE Proceedings, стр. 90343A. SPIE, (2014)A framework of whole heart extracellular volume fraction estimation for low dose cardiac CT images., , , , , и . Medical Imaging: Image Processing, том 8314 из SPIE Proceedings, стр. 831429. SPIE, (2012)Automated segmentation of serous pigment epithelium detachment in SD-OCT images., , , , и . Medical Imaging: Image Processing, том 9413 из SPIE Proceedings, стр. 94133Q. SPIE, (2015)Automatic anatomy recognition via multi-object-oriented active shape models., , , , и . Medical Imaging: Image Processing, том 7259 из SPIE Proceedings, стр. 72594P. SPIE, (2009)