省略 发表于 2025-3-23 12:41:52

Book‘‘‘‘‘‘‘‘ 2022tween these areas is established through the use of two existing tools, FreeSurfer and FEniCS, and one novel tool, the SVM-Tk, developed for this book. The reader will learn the basics of magnetic resonance imaging and quickly proceed to generating their first FEniCS brain meshes from T1-weighted im

使苦恼 发表于 2025-3-23 17:10:19

Book‘‘‘‘‘‘‘‘ 2022n tensor images, of various resolution, and complex, multi-domain, variable-resolution FEniCS meshes with detailed markings of anatomical brain regions. After completing this book, the reader will have a solid foundation for performing patient-specific finite element simulations of biomechanical models of the human brain..

groggy 发表于 2025-3-23 18:33:02

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QUAIL 发表于 2025-3-23 23:01:38

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使厌恶 发表于 2025-3-24 05:51:17

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Soliloquy 发表于 2025-3-24 08:27:26

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誓言 发表于 2025-3-24 13:00:13

Kent-André Mardal,Marie E. Rognes,Travis B. Thompson,Lars Magnus Valnes

抛媚眼 发表于 2025-3-24 18:09:28

Kent-André Mardal,Marie E. Rognes,Travis B. Thompson,Lars Magnus Valnes

troponins 发表于 2025-3-24 20:43:40

Kent-André Mardal,Marie E. Rognes,Travis B. Thompson,Lars Magnus Valnes

百科全书 发表于 2025-3-25 02:05:00

Introduction, attempting to understand the brain‘s physiology and function, is offered by homogenized, continuum-based modeling; here, the focus is on modeling the large-scale behavior arising from the aggregate of small-scale contributions.
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查看完整版本: Titlebook: Mathematical Modeling of the Human Brain; From Magnetic Resona Kent-André Mardal,Marie E. Rognes,Lars Magnus Valn Book‘‘‘‘‘‘‘‘ 2022 The Aut