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Predicting 3D soft tissue dynamics from 2D imaging using physics informed neural networks
Tissue dynamics play critical roles in many physiological functions and provide important metrics for clinical diagnosis. Capturing real-time high-resolution 3D images of tissue dynamics, however, remains a challenge. This study presents a hybrid physics-informed neural network algorithm that infers...
Autores principales: | Movahhedi, Mohammadreza, Liu, Xin-Yang, Geng, Biao, Elemans, Coen, Xue, Qian, Wang, Jian-Xun, Zheng, Xudong |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199019/ https://www.ncbi.nlm.nih.gov/pubmed/37208428 http://dx.doi.org/10.1038/s42003-023-04914-y |
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