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A multiscale subvoxel perfusion model to estimate diffusive capillary wall conductivity in multiple sclerosis lesions from perfusion MRI data

, , , , and . International Journal for Numerical Methods in Biomedical Engineering, 36 (2): e3298 (2020)
DOI: 10.1002/cnm.3298

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CRF-Based Brain Tumor Segmentation: Alleviating the Shrinking Bias., , , and . BrainLes@MICCAI, volume 10154 of Lecture Notes in Computer Science, page 100-107. (2016)CT Brain Perfusion: A Clinical Perspective., and . BrainLes@MICCAI (1), volume 11383 of Lecture Notes in Computer Science, page 15-24. Springer, (2018)Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge., , , , , , , , , and 41 other author(s). CoRR, (2018)Simultaneous lesion and neuroanatomy segmentation in Multiple Sclerosis using deep neural networks., , , , , , , , , and 3 other author(s). CoRR, (2019)Deep Learning Versus Classical Regression for Brain Tumor Patient Survival Prediction., , , , , , and . BrainLes@MICCAI (2), volume 11384 of Lecture Notes in Computer Science, page 429-440. Springer, (2018)QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results., , , , , , , , , and 82 other author(s). CoRR, (2021)The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)., , , , , , , , , and 58 other author(s). IEEE Trans. Medical Imaging, 34 (10): 1993-2024 (2015)A multiscale subvoxel perfusion model to estimate diffusive capillary wall conductivity in multiple sclerosis lesions from perfusion MRI data, , , , and . International Journal for Numerical Methods in Biomedical Engineering, 36 (2): e3298 (2020)Examining the gateway to the limbic system with diffusion tensor imaging: The perforant pathway in dementia., , , , , , , , , and 2 other author(s). NeuroImage, 30 (3): 713-720 (2006)Multi-parametric classification of Alzheimer's disease and mild cognitive impairment: The impact of quantitative magnetization transfer MR imaging., , , , , , and . NeuroImage, 48 (4): 657-667 (2009)