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Atlas-based shape analysis and classification of retinal optical coherence tomography images using the functional shape (fshape) framework.

, , , , , , , and . Medical Image Anal., (2017)

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Deep-learning based multiclass retinal fluid segmentation and detection in optical coherence tomography images using a fully convolutional neural network., , , , , , and . Medical Image Anal., (2019)Substantially thinner internal granular layer and reduced molecular layer surface in the cerebellar cortex of the Tc1 mouse model of down syndrome - a comprehensive morphometric analysis with active staining contrast-enhanced MRI., , , , , , , , , and 9 other author(s). NeuroImage, (2020)Web Surfing Assistant for Improving Web Accessibility., and . International Conference on Internet Computing, page 677-683. CSREA Press, (2003)Retinal Fluid Segmentation and Detection in Optical Coherence Tomography Images using Fully Convolutional Neural Network., , , , , and . CoRR, (2017)Deep learning vessel segmentation and quantification of the foveal avascular zone using commercial and prototype OCT-A platforms., , , , , , , , , and 8 other author(s). CoRR, (2019)Reducing Spatial Relationships for Efficient Image Retrieval., , and . ICADL, volume 2911 of Lecture Notes in Computer Science, page 218-229. Springer, (2003)Atlas-based shape analysis and classification of retinal optical coherence tomography images using the functional shape (fshape) framework., , , , , , , and . Medical Image Anal., (2017)Exact Surface Registration of Retinal Surfaces From 3-D Optical Coherence Tomography Images., , , and . IEEE Trans. Biomed. Eng., 62 (2): 609-617 (2015)Cascaded Deep Neural Networks for Retinal Layer Segmentation of Optical Coherence Tomography with Fluid Presence., , , , , , , and . CoRR, (2019)Automatic detection of subretinal fluid and sub-retinal pigment epithelium fluid in optical coherence tomography images., , , , , , , , , and . EMBC, page 7388-7391. IEEE, (2013)