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Diffusion tensor-based fast marching for modeling human ...
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由 H Li 著作2011被引用 20 次 — Diffusion tensor imaging (DTI) is an effective modality in studying the connectivity of the brain. To eliminate possible biases caused by fiber extraction ...
Diffusion tensor-based fast marching for modeling human ...
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由 H Li 著作2011被引用 20 次 — Diffusion tensor imaging (DTI) is an effective modality in studying the connectivity of the brain. To eliminate possible biases caused by fiber extraction ...
Diffusion tensor-based fast marching for modeling human brain ...
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Diffusion tensor imaging (DTI) is an effective modality in studying the connectivity of the brain. To eliminate possible biases caused by fiber extraction ...
Diffusion tensor-based fast marching for modeling human brain ...
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... Download PDF. Diffusion tensor-based fast marching for modeling human brain connectivity network. BrowZine Book Icon View Issue Contents in BrowZine. Send to.
Diffusion tensor-based fast marching for modeling human ...
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, Diffusion tensor-based fast marching for modeling human brain connectivity network. ;; Li, Hai ;, ISSN: 0895-6111 , 1879-0771; DOI: 10.1016/j.compmedimag.
人才队伍--中科院医学物理与技术中心
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2019年5月14日 — 李海,男,中科院合肥研究院健康与医学技术研究所转化医学研究中心副主任,研究员,博士生导师。李海博士分别于2003、2006、2010年在西北工业大学获得本科、 ...
An Improved Fast Marching Method and Its Application in ...
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2024年10月22日 — Magnetic resonance diffusion tensor imaging (DTI) provides a noninvasive approach to characterize the fiber pathways in the human brain.
Computerized Medical Imaging and Graphics, Volume 35, Issue 3
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Diffusion tensor-based fast marching for modeling human brain connectivity network. Pages 167-178. Li, Hai, Xue, Zhong, Cui, Kemi, and Wong, Stephen T.C..
Hai Li - Google 学术搜索
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Diffusion tensor-based fast marching for modeling human brain connectivity network. H Li, Z Xue, K Cui, STC Wong. Computerized Medical Imaging and Graphics 35 ( ...
Distributed Anatomical Brain Connectivity Derived from ...
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由 GJM Parker 著作2001被引用 48 次 — A method is presented for determining likely paths of anatomical connection between regions of the brain using MR diffusion tensor information.