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

Coordination Number and Geometry02:57

Coordination Number and Geometry

For transition metal complexes, the coordination number determines the geometry around the central metal ion. Table 1 compares coordination numbers to molecular geometry. The most common structures of the complexes in coordination compounds are octahedral, tetrahedral, and square planar.
Structural Classification of Joints01:20

Structural Classification of Joints

Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
Three-Dimensional Force System01:30

Three-Dimensional Force System

In mechanical engineering, a three-dimensional force system is a system of forces acting in three dimensions, with forces applied along the x, y, and z coordinate axes. The three-dimensional force system is an important concept in mechanical engineering, as it allows engineers to understand and analyze the behavior of objects and structures in three dimensions. By understanding the forces acting on a system, engineers can design more efficient and effective mechanical systems that can withstand...
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
Response Surface Methodology01:16

Response Surface Methodology

Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:

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

Applications of interpretable deep learning in neuroimaging: A comprehensive review.

Imaging neuroscience (Cambridge, Mass.)·2025
Same author

The developing Human Connectome Project fetal functional MRI release: Methods and data structures.

Imaging neuroscience (Cambridge, Mass.)·2025
Same author

Charting structural brain asymmetry across the human lifespan.

bioRxiv : the preprint server for biology·2025
Same author

Differential patterns of cortical expansion in fetal and preterm brain development.

bioRxiv : the preprint server for biology·2025
Same author

Detection of Epileptogenic Focal Cortical Dysplasia Using Graph Neural Networks: A MELD Study.

JAMA neurology·2025
Same author

Novel Poly-Arginine Peptide R18D Reduces α-Synuclein Aggregation and Uptake of α-Synuclein Seeds in Cortical Neurons.

Biomedicines·2025
Same journal

Generative morphodynamic forecasting enables robust zero-shot volumetric medical segmentation.

Medical image analysis·2026
Same journal

ContiMorph: An unsupervised learning framework for cardiac motion tracking with time-continuous diffeomorphism.

Medical image analysis·2026
Same journal

MedP-CLIP: Medical CLIP with region-aware prompt integration.

Medical image analysis·2026
Same journal

Multi-organ guided diagnosis of mild cognitive impairment via hierarchical alignment and knowledge distillation.

Medical image analysis·2026
Same journal

SUDA: Simultaneous unsupervised knowledge distillation and adaptation of foundation models for efficient pathological image analysis.

Medical image analysis·2026
Same journal

Beyond the LUMIR challenge: The pathway to foundational registration models.

Medical image analysis·2026
查看所有相关文章

相关实验视频

Updated: Jun 26, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

3.3K

无监督的多式联接式表面注册与几何深度学习.

Mohamed A Suliman1, Logan Z J Williams2, Abdulah Fawaz1

  • 1Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Science, King's College London, London, SE1 7EH, UK.

Medical image analysis
|October 16, 2025
PubMed
概括
此摘要是机器生成的。

GeoMorph是一个新的几何深度学习框架,增强皮质表面注册. 与当前的方法相比,它实现了更高的对齐和更光滑的变形,为神经科学研究带来了希望.

关键词:
有条件的随机字段是有条件的随机字段.皮层表面的注册记录.几何深度学习的几何深度学习图像的注册 图像的注册没有监督的学习学习.

更多相关视频

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

1.0K
Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
07:13

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

1.6K

相关实验视频

Last Updated: Jun 26, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

3.3K
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

1.0K
Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
07:13

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

1.6K

科学领域:

  • 神经科学是一个神经科学.
  • 计算机视觉 计算机视觉
  • 医疗成像医学成像

背景情况:

  • 对皮质表面的准确图像记录对于理解大脑结构和功能至关重要.
  • 现有的方法往往难以处理复杂的表面几何形状和实现生物学上可信的变形.

研究的目的:

  • 介绍GeoMorph,一个新的几何深度学习框架,用于强大而准确的皮质表面注册.
  • 在神经成像分析中改善对齐质量和变形平滑性.

主要方法:

  • 使用图形卷积来在皮层表面独立提取特征.
  • 采用深度离散的注册方法与控制点位移学习.
  • 包含一个基于循环神经网络的条件随机场用于规范化.

主要成果:

  • 在现有的深度学习注册技术上,GeoMorph表现出优越的性能.
  • 实现了更好的对齐精度和更光滑,更生物可信的变形.
  • 与传统的注册框架相比,显示出具有竞争力的结果.

结论:

  • GeoMorph为皮质表面注册提供了一种多功能且强大的解决方案.
  • 它的先进功能表明,它对各种神经科学应用有很大的潜力.
  • 该框架的代码是公开可用的,用于进一步的研究和开发.