esoteric 发表于 2025-3-25 06:00:38

https://doi.org/10.1007/978-3-663-13017-8ffers the following advantages. First, NNSD is the first SH based method that guarantees non-negativity of the fODF throughout the unit sphere. Second, unlike approaches such as Maximum Entropy SD (MESD), Cartesian Tensor Fiber Orientation Distribution (CT-FOD), and discrete representation based SD

后天习得 发表于 2025-3-25 10:23:31

https://doi.org/10.1007/978-3-322-83562-8mating the uncertainty in tractography data. In contrast to the residual or wild bootstrap, which relies on a predetermined data model, or the repetition bootstrap, which requires repeated signal measurements, W-NLB does not assume a predetermined form of data structure and obviates the need for tim

Hemoptysis 发表于 2025-3-25 12:29:34

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Conduit 发表于 2025-3-25 18:35:56

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intangibility 发表于 2025-3-25 20:56:29

A Quantitative Evaluation of Errors Induced by Reduced Field-of-View in Diffusion Tensor Imagingigh sensitivity to parameter selection and produced up to 30 % outliers. With an optimized parameter set, all registration methods yielded spatial errors of 1 mm (±0.572). The spatial error resulted in a mean error of 0.03 (±0.013) in the estimated FA values, and was thus of the same magnitude as gr

溃烂 发表于 2025-3-26 01:52:09

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periodontitis 发表于 2025-3-26 04:55:05

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元音 发表于 2025-3-26 08:44:41

Estimating Uncertainty in White Matter Tractography Using Wild Non-local Bootstrapmating the uncertainty in tractography data. In contrast to the residual or wild bootstrap, which relies on a predetermined data model, or the repetition bootstrap, which requires repeated signal measurements, W-NLB does not assume a predetermined form of data structure and obviates the need for tim

支柱 发表于 2025-3-26 15:23:19

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Costume 发表于 2025-3-26 19:42:24

https://doi.org/10.1007/978-3-319-02475-2Connectomics; Diffusion Magnetic Resonance Imaging; Fiber Tractography; Medical Image Analysis; Neuroima
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查看完整版本: Titlebook: Computational Diffusion MRI and Brain Connectivity; MICCAI Workshops, Na Thomas Schultz,Gemma Nedjati-Gilani,Eleftheria Pan Conference proc