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V-Net and U-Net for Ischemic Stroke Lesion Segmentation in a Small Dataset of Perfusion Data.

, , , and . BrainLes@MICCAI (1), volume 11383 of Lecture Notes in Computer Science, page 301-309. Springer, (2018)

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Data-Driven Corpus Callosum Parcellation Method Through Diffusion Tensor Imaging., , , , and . IEEE Access, (2017)H-SynEx: Using synthetic images and ultra-high resolution ex vivo MRI for hypothalamus subregion segmentation., , , , , , , , and . CoRR, (2024)Computational methods for corpus callosum segmentation on MRI: A systematic literature review., , , , and . Comput. Methods Programs Biomed., (2018)Automated quality check of corpus callosum segmentation using deep learning., , , , , and . Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)Reliability of using single specialist annotation for designing and evaluating automatic segmentation methods: A skull stripping case study., , , , , , , and . ISBI, page 1344-1347. IEEE, (2018)An array-based node-oriented max-tree representation., , , and . ICIP, page 3620-3624. IEEE, (2015)3D texture-based classification applied on brain white matter lesions on MR images., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97852N. SPIE, (2016)Common Carotid Artery Lumen Segmentation from Cardiac Cycle-Resolved Cine Fast Spin Echo Magnetic Resonance Imaging., , , , and . SIBGRAPI, page 442-449. IEEE Computer Society, (2017)WMH Segmentation Challenge: A Texture-Based Classification Approach., , , , and . BrainLes@MICCAI, volume 10670 of Lecture Notes in Computer Science, page 489-500. Springer, (2017)Watershed-based segmentation of the corpus callosum in diffusion MRI., , , , and . Medical Imaging: Image Processing, volume 8314 of SPIE Proceedings, page 831432. SPIE, (2012)