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Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach., , , , , , , , , and . NeuroImage, (2017)Automated Detection of Lupus White Matter Lesions in MRI., , , , , , , and . Frontiers Neuroinformatics, (2016)Underwater Object Classification and Detection: first results and open challenges., , , , and . CoRR, (2022)Model-Based Underwater 6D Pose Estimation from RGB., , , , , , , , and . CoRR, (2023)Semantic Segmentation Based on Multiple Granularity Learning., , , , , , and . IROS, page 9065-9070. (2023)Automated methods on magnetic resonance brain imaging in multiple sclerosis.. University of Girona, Spain, (2016)An SPM12 extension for multiple sclerosis lesion segmentation., , , , , , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97842N. SPIE, (2016)Model-Based Underwater 6D Pose Estimation From RGB., , , , , , , and . IEEE Robotics Autom. Lett., 8 (11): 7535-7542 (November 2023)Agents for Social Search in Long-Term Digital Preservation., , , , , , , and . SKG, page 363-366. IEEE Computer Society, (2010)Automated tissue segmentation of MR brain images in the presence of white matter lesions., , , , , , , , and . Medical Image Anal., (2017)