残余物
多元微积分
计算机科学
经颅多普勒
超声波
人工智能
医学
算法
放射科
控制工程
工程类
作者
Minwoo Shin,Zhuogang Peng,Hyo-Jin Kim,Seung‐Schik Yoo,Kyungho Yoon
标识
DOI:10.1016/j.cmpb.2023.107591
摘要
In this research, we developed multivariable-incorporating SR neural networks for transcranial focused ultrasound simulation. Our super-resolution technique may contribute to promoting the safety and efficacy of tFUS-mediated NIBS by providing on-site feedback information on the intracranial pressure field to the operator.
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