The lung physiome: merging imaging‐based measures with predictive computational models-Reference-Cited by-同舟云学术

The lung physiome: merging imaging‐based measures with predictive computational models

Published:2009-05-05 Issue:1 Volume:1 Page:61-72
ISSN:1939-5094
Container-title:Wiley Interdisciplinary Reviews: Systems Biology and Medicine
language:en
Short-container-title:WIREs Syst Biol Med

Author:

Tawhai Merryn H.¹,Hoffman Eric A.²,Lin Ching‐Long³

Affiliation:

1. Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand

2. Department of Radiology and Biomedical Engineering, The University of Iowa, Iowa City, IA 52242, USA

3. Department of Mechanical Engineering and IIHR, The University of Iowa, Iowa City, IA 52242, USA

Publisher

Wiley

Subject

Biochemistry, Genetics and Molecular Biology (miscellaneous),Medicine (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/wsbm.17

Reference93 articles.

1. IUPS Physiome Project

2. The Physiome Project is a worldwide public domain effort to provide a computational framework for understanding human and other eukaryotic physiology. It aims to develop integrative models at all levels of biological organisation from genes to the whole organism via gene regulatory networks protein pathways integrative cell function and tissue and whole organ structure/function relations.

3. Characterization of the interstitial lung diseases via density-based and texture-based analysis of computed tomography images of lung structure and function1

4. Computational predictions of pulmonary blood flow gradients: Gravity versus structure

5. Anatomically based finite element models of the human pulmonary arterial and venous trees including supernumerary vessels

Cited by 42 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Human-airway surface mesh smoothing based on graph convolutional neural networks;Computer Methods and Programs in Biomedicine;2024-04

2. Morphometric analysis of airways in pre-COPD and mild COPD lungs using continuous surface representations of the bronchial lumen;Frontiers in Bioengineering and Biotechnology;2023-12-19

3. Digital Twins and Automation of Care in the Intensive Care Unit;Cyber–Physical–Human Systems;2023-06-09

4. Human-Airway Surface Mesh Smoothing Based on Graph Convolutional Neural Networks;2023

5. Snakes Isogeometric Analysis (SIGA): Towards accurate and flexible geometrical models of the respiratory airways;Computer Methods in Applied Mechanics and Engineering;2022-05