1 |
Nam JG, Choi Y, Lee SM, Yoon SH, Goo JM, Kim H. Prognostic value of deep learning-based fibrosis quantification on chest CT in idiopathic pulmonary fibrosis. Eur Radiol 2023. [PMID: 36928568 DOI: 10.1007/s00330-023-09534-y] [Reference Citation Analysis]
|
2 |
Aoki R, Iwasawa T, Saka T, Yamashiro T, Utsunomiya D, Misumi T, Baba T, Ogura T. Effects of Automatic Deep-Learning-Based Lung Analysis on Quantification of Interstitial Lung Disease: Correlation with Pulmonary Function Test Results and Prognosis. Diagnostics (Basel) 2022;12. [PMID: 36553045 DOI: 10.3390/diagnostics12123038] [Reference Citation Analysis]
|
3 |
Ortiz-Vilchis P, Ramirez-Arellano A. An Entropy-Based Measure of Complexity: An Application in Lung-Damage. Entropy (Basel) 2022;24:1119. [PMID: 36010783 DOI: 10.3390/e24081119] [Reference Citation Analysis]
|
4 |
Furukawa T, Oyama S, Yokota H, Kondoh Y, Kataoka K, Johkoh T, Fukuoka J, Hashimoto N, Sakamoto K, Shiratori Y, Hasegawa Y. A comprehensible machine learning tool to differentially diagnose idiopathic pulmonary fibrosis from other chronic interstitial lung diseases. Respirology 2022. [PMID: 35697345 DOI: 10.1111/resp.14310] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
|
5 |
Choudhury S, Chohan A, Dadhwal R, Vakil AP, Franco R, Taweesedt PT. Applications of artificial intelligence in common pulmonary diseases. Artif Intell Med Imaging 2022; 3(1): 1-7 [DOI: 10.35711/aimi.v3.i1.1] [Reference Citation Analysis]
|
6 |
Tanabe N, Kaji S, Shima H, Shiraishi Y, Maetani T, Oguma T, Sato S, Hirai T. Kernel Conversion for Robust Quantitative Measurements of Archived Chest Computed Tomography Using Deep Learning-Based Image-to-Image Translation. Front Artif Intell 2022;4:769557. [DOI: 10.3389/frai.2021.769557] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
|
7 |
Du K, Zhu Y, Mao R, Qu Y, Cui B, Ma Y, Zhang X, Chen Z. Medium-long term prognosis prediction for idiopathic pulmonary fibrosis patients based on quantitative analysis of fibrotic lung volume. Respir Res 2022;23:372. [PMID: 36550474 DOI: 10.1186/s12931-022-02276-3] [Reference Citation Analysis]
|