Automated Fetal and Neonatal Movement Assessment for Very Early Health Assessment

用于极早期健康评估的自动胎儿和新生儿运动评估

• 批准号: EP/S013601/1
• 负责人: Tomoki Arichi
• 金额: $ 12.98万
• 依托单位: King's College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FS013601%2F1
• 关键词: Automated; Fetal; Neonatal; Movement; Assessment

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

目前，GtR 中尚未提供所有资助研究的摘要。这通常是因为在提交提案时不需要摘要，但可能是因为它包含个人详细信息等敏感信息。

项目成果

Development of functional organization within the sensorimotor network across the perinatal period.

整个围产期感觉运动网络内功能组织的发展。

• DOI: http://dx.10.1002/hbm.25785
• 发表时间: 2022
• 期刊: Human brain mapping
• 影响因子: 4.8
• 作者: Dall'Orso S

Predictive validity of the Lacey Assessment of Preterm Infants for motor outcome at 2 years corrected age.

早产儿莱西评估对 2 岁校正年龄运动结果的预测有效性。

• DOI: http://dx.10.1016/j.earlhumdev.2021.105334
• 发表时间: 2021
• 期刊: Early human development
• 影响因子: 2.5
• 作者: Lukens AM

Unsupervised Human Pose Estimation through Transforming Shape Templates

通过变换形状模板进行无监督人体姿势估计

• DOI: http://dx.10.1109/cvpr46437.2021.00251
• 发表时间: 2021
• 作者: Schmidtke L