Development of Data-driven Prediction Model using 3D Multimodal Deep Neural Networks for Estimating the Evolution of White Matter Hyperintensities Associated with Small Vessel Disease in Brain MRI

使用 3D 多模态深度神经网络开发数据驱动的预测模型，用于估计与脑 MRI 中小血管疾病相关的白质高信号的演变

• 批准号: 20K23356
• 负责人: Rachmadi Muhammad Febrian
• 金额: $ 1.83万
• 依托单位: Institute of Physical and Chemical Research
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Research Activity Start-up
• 财政年份: 2020
• 资助国家: 日本
• 起止时间: 2020-09-11 至 2022-03-31
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-20K23356/
• 关键词: White matter lesions; Progression of WMHs; Disease prediction model; Deep learning; Dementia; Alzheimer's disease; WMHs; Human brain MRI; Progression of WMLs; Deep learning model

项目成果

Probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation - Better Ways to Perform and Evaluate Predictive Models for White Matter Hyperintensities Evolution

具有对抗性训练和体积间隔估计的概率深度学习 - 执行和评估白质高信号演化预测模型的更好方法

• 发表时间: 2021
• 作者: Ayedoun Emmanuel;Hayashi Yuki;Seta Kazuhisa;Emmanuel Ayedoun;Emmanuel Ayedoun;Emmanuel Ayedoun;Emmanuel Ayedoun;Muhammad Febrian Rachmadi
• 通讯作者: Muhammad Febrian Rachmadi