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使用深度操作员网络与时间正常化进行参数化的心血管血液动力学强有力的预测.

Junki Hong1, Bomi Lee2, Adelle Ria Persad2

  • 1Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea; Ann and H.J. Smead Aerospace Engineering Sciences, University of Colorado Boulder, Boulder, 80303, CO, United States of America.

Computer methods and programs in biomedicine
|March 14, 2026
PubMed
概括

这项研究引入了一个深度运营者网络 (DeepONet),用于快速心血管建模. 人工智能模型显著加速复杂的模拟,使生理信号的强大分析成为可能.

关键词:
心血管血液动力学深度运营商网络深度运营商网络参数化建模进行参数化建模.周期信号是指周期信号.代理模拟代理模拟时间正常化时间正常化.

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