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An array-based node-oriented max-tree representation., , , and . ICIP, page 3620-3624. IEEE, (2015)Data-Driven Corpus Callosum Parcellation Method Through Diffusion Tensor Imaging., , , , and . IEEE Access, (2017)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)Computational methods for corpus callosum segmentation on MRI: A systematic literature review., , , , and . Comput. Methods Programs Biomed., (2018)WMH Segmentation Challenge: A Texture-Based Classification Approach., , , , and . BrainLes@MICCAI, volume 10670 of Lecture Notes in Computer Science, page 489-500. Springer, (2017)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)Mid-callosal plane determination using preferred directions from diffusion tensor images., , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 9417 of SPIE Proceedings, page 94172A. SPIE, (2015)Corpus callosum parcellation methods: a quantitative comparative study., , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10578 of SPIE Proceedings, page 1057817. SPIE, (2018)Improving estimates of brain metabolite concentrations in MR spectroscopic imaging (MRSI) through MRI content., , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10953 of SPIE Proceedings, page 109530V. SPIE, (2019)