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

Spherical and Cylindrical Capacitor01:26

Spherical and Cylindrical Capacitor

6.0K
A spherical capacitor consists of two concentric conducting spherical shells of radii R1 (inner shell) and R2 (outer shell). The shells have  equal and opposite charges of +Q and −Q, respectively. For an isolated conducting spherical capacitor, the radius of the outer shell can be considered to be infinite.
Conventionally, considering the  symmetry, the electric field between the concentric shells of a spherical capacitor is directed radially outward. The magnitude of the field,...
6.0K
Brain Imaging01:14

Brain Imaging

318
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
318

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

A longitudinally-consistent deep framework for joint subcortical segmentation and registration of infant brains.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same author

TumorSynth: Integrated Brain Tumor and Tissue Segmentation on Brain MRI Scans of Any Resolution and Contrast.

Radiology. Imaging cancer·2026
Same author

Multi-task Joint Prediction of Infant Cortical Morphological and Cognitive Development.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2025
Same author

Prediction of Infant Cognitive Development with Cortical Surface-Based Multimodal Learning.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2025
Same author

Incomplete Multi-Modal Disentanglement Learning With Application to Alzheimer's Disease Diagnosis.

IEEE transactions on medical imaging·2025
Same author

UNSUPERVISED CORTICAL SURFACE REGISTRATION NETWORK FOR ALIGNING GYRALNET.

Proceedings. IEEE International Symposium on Biomedical Imaging·2025

相关实验视频

Updated: Sep 15, 2025

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
14:14

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

9.0K

STF:用于多功能皮质表面应用的球形变压器.

Jiale Cheng1, Fenqiang Zhao2, Zhengwang Wu2

  • 1Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA; Lampe Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC, 27599, USA.

NeuroImage
|July 16, 2025
PubMed
概括

我们介绍了球形变压器 (STF),这是一种用于分析大脑皮层表面的新型深度学习模型. 在医疗成像数据中,STF有效地捕获全球和本地细节,优于现有方法.

关键词:
皮层表面 皮层表面发展预测发展预测纵向分析 纵向分析土地分类是指土地分类.变压器变压器变压器

更多相关视频

Adaptable Angled Stereotactic Approach for Versatile Neuroscience Techniques
06:21

Adaptable Angled Stereotactic Approach for Versatile Neuroscience Techniques

Published on: May 7, 2020

5.2K
How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index
09:57

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index

Published on: January 2, 2012

28.1K

相关实验视频

Last Updated: Sep 15, 2025

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
14:14

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

9.0K
Adaptable Angled Stereotactic Approach for Versatile Neuroscience Techniques
06:21

Adaptable Angled Stereotactic Approach for Versatile Neuroscience Techniques

Published on: May 7, 2020

5.2K
How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index
09:57

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index

Published on: January 2, 2012

28.1K

科学领域:

  • 神经成像是一种神经成像.
  • 人工智能的人工智能
  • 医学成像分析 医学成像分析

背景情况:

  • 变压器架构在欧几里德域中表现出色,但在非欧几里德医学成像数据中扎.
  • 大脑皮层表面,其球形拓,需要专门的分析方法.
  • 现有的方法可能无法完全捕捉表面数据中的全球背景和细粒度细节.

研究的目的:

  • 调整变压器架构以分析非欧几里德医学成像数据,特别是大脑皮层表面.
  • 开发一个多功能骨干模型,球形变压器 (STF),用于增强皮质表面分析.
  • 为模拟纵向表面数据引入一个时空自我注意机制.

主要方法:

  • 将皮质表面映射到球体上,并将它们划分为重叠的补丁.
  • 标记化补丁和顶点,在两个层面上进行自我注意.
  • 为纵向数据分析实施时空自我注意机制.

主要成果:

  • 球形变压器 (STF) 有效地模拟全球依赖关系,并保存细粒度的空间信息.
  • 在认知预测,皮质表面分片和财产地图预测方面,STF始终超越了最先进的方法.
  • 重叠的补丁设计有助于有效的跨补丁信息共享.

结论:

  • 球形变压器 (STF) 是用于分析皮质表面数据的强大而通用的框架.
  • 该模型处理空间和时间动态的能力使其适合纵向研究.
  • STF显示出了促进医学成像分析和理解大脑结构和功能的巨大潜力.