Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Assessment of Diffusion and Perfusion01:17

Assessment of Diffusion and Perfusion

1.5K
Understanding and evaluating diffusion and perfusion is critical in assessing a patient's respiratory and circulatory health. These processes play key roles in maintaining the body's internal environment, ensuring that tissues receive adequate oxygen while waste products are efficiently removed.
The Role of Diffusion in Respiration
Diffusion is the process by which molecules move from an area of higher concentration to an area of lower concentration. In the respiratory system, this...
1.5K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Accelerate Presolve in Large-Scale Linear Programming via Reinforcement Learning.

IEEE transactions on pattern analysis and machine intelligence·2025
Same author

Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming.

IEEE transactions on pattern analysis and machine intelligence·2024
Same author

Mg-MOF-74 Derived Defective Framework for Hydrogen Storage at Above-Ambient Temperature Assisted by Pt Catalyst.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2024
Same author

Weight loss and all-cause mortality: A propensity score matching cohort study.

Obesity research & clinical practice·2022
Same author

Trends in Nutritional Biomarkers by Demographic Characteristics Across 14 Years Among US Adults.

Frontiers in nutrition·2022
Same author

Microbial Inactivation Property of Pulsed Corona Discharge Plasma and Its Effect on Chilled Pork Preservation.

Foodborne pathogens and disease·2021
Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
查看所有相关文章

相关实验视频

Updated: Jan 9, 2026

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
12:21

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

25.7K

MAD-Net:用于预测长度婴儿大脑功能连接的形态度注意力扩散网络.

Fangzhou Zhu, Xiao Zhang, Kefang Zhang

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed
    概括
    此摘要是机器生成的。

    这项研究介绍了MAD-Net,一种新的AI模型,可以从结构性MRI扫描中预测婴儿大脑的功能连接. 这推动了早期神经发育监测,克服了婴儿神经成像中的数据限制.

    更多相关视频

    Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography
    13:26

    Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

    Published on: August 11, 2016

    12.6K
    Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
    17:06

    Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

    Published on: November 8, 2012

    26.9K

    相关实验视频

    Last Updated: Jan 9, 2026

    Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
    12:21

    Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

    Published on: September 12, 2011

    25.7K
    Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography
    13:26

    Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

    Published on: August 11, 2016

    12.6K
    Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
    17:06

    Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

    Published on: November 8, 2012

    26.9K

    科学领域:

    • 神经科学是一个神经科学.
    • 医疗成像医学成像
    • 人工智能的人工智能

    背景情况:

    • 休息状态功能性MRI (rs-fMRI) 对于评估婴儿大脑发育和识别生物标志物至关重要.
    • 获得高质量的婴儿fMRI数据是具有挑战性的,因为运动,短扫描和合规问题,限制了纵向研究.
    • 现有的方法难以重建婴儿的纵向功能连接 (FC).

    研究的目的:

    • 开发一种用于预测婴儿大脑纵向功能连接 (FC) 的新方法.
    • 通过利用结构性MRI (sMRI) 信息来解决婴儿纵向fMRI数据的稀缺问题.
    • 通过先进的神经成像分析,改善早期神经发育监测.

    主要方法:

    • 拟议的MAD-Net,一个扩散模型,集成无分类器指导和跨模式关注.
    • 利用sMRI的形态特征来预测纵向FC.
    • 采用共享的三重编码器来实现强大的纵向特征表示,并使用U-Net架构进行精确的调节.

    主要成果:

    • 与最先进的方法相比,MAD-Net在预测纵向FC方面表现优越.
    • 该模型有效地融合了形态特征和发育年龄限制.
    • 在386个婴儿纵向fMRI扫描上进行评估,显示功能网络重建的显著进展.

    结论:

    • 通过使用结构先验,MAD-Net在重建婴儿大脑功能网络方面取得了重大进展.
    • 该模型克服了稀缺的婴儿纵向fMRI数据的局限性.
    • 这种方法有望加强早期神经发育监测和生物标志物发现.