Luo N - Search Results

1

Artificial intelligence stenosis diagnosis in coronary CTA: effect on the performance and consistency of readers with less cardiovascular experience.

Han X, Luo N, Xu L, Cao J, Guo N, He Y, Hong M, Jia X, Wang Z, Yang Z. Han X, et al. Among authors: luo n. BMC Med Imaging. 2022 Feb 17;22(1):28. doi: 10.1186/s12880-022-00756-y. BMC Med Imaging. 2022. PMID: 35177029 Free PMC article.

2

Impact of Several Factors on the Diagnostic Interpretability of Coronary Computed Tomographic Angiography Using a 256-Detector Row CT Scanner.

Xu L, Luo N, He Y, Yang Z. Xu L, et al. Among authors: luo n. Curr Med Imaging. 2022;18(7):739-748. doi: 10.2174/1573405617666211117140617. Curr Med Imaging. 2022. PMID: 34789136

3

Diagnostic Accuracy and Generalizability of a Deep Learning-Based Fully Automated Algorithm for Coronary Artery Stenosis Detection on CCTA: A Multi-Centre Registry Study.

Xu L, He Y, Luo N, Guo N, Hong M, Jia X, Wang Z, Yang Z. Xu L, et al. Among authors: luo n. Front Cardiovasc Med. 2021 Nov 5;8:707508. doi: 10.3389/fcvm.2021.707508. eCollection 2021. Front Cardiovasc Med. 2021. PMID: 34805297 Free PMC article.

4

Performance evaluation of deep learning-based post-processing and diagnostic reporting system for coronary CT angiography: a clinical comparative study.

Luo N, He Y, Fan J, Guo N, Yang G, Kong Y, Wei J, Bi T, Zhou J, Cao J, Han X, Li F, Zhang S, Sun R, Wang Z, Ma T, Xu L, Chen H, Li H, Wang Z, Yang Z. Luo N, et al. Chin Med J (Engl). 2022 Oct 5;135(19):2366-2368. doi: 10.1097/CM9.0000000000001913. Chin Med J (Engl). 2022. PMID: 35120360 Free PMC article. No abstract available.

5

The influence of artificial intelligence assistance on the diagnostic performance of CCTA for coronary stenosis for radiologists with different levels of experience.

Han X, He Y, Luo N, Zheng D, Hong M, Wang Z, Yang Z. Han X, et al. Among authors: luo n. Acta Radiol. 2023 Feb;64(2):496-507. doi: 10.1177/02841851221089263. Epub 2022 Apr 7. Acta Radiol. 2023. PMID: 35389276

6

Corrigendum: Diagnostic Accuracy and Generalizability of a Deep Learning-Based Fully Automated Algorithm for Coronary Artery Stenosis Detection on CCTA: A Multi-Centre Registry Study.

Xu L, He Y, Luo N, Guo N, Hong M, Jia X, Wang Z, Yang Z. Xu L, et al. Among authors: luo n. Front Cardiovasc Med. 2022 Jun 13;9:920738. doi: 10.3389/fcvm.2022.920738. eCollection 2022. Front Cardiovasc Med. 2022. PMID: 35770222 Free PMC article.

7

A deep learning-based automated algorithm for labeling coronary arteries in computed tomography angiography images.

Ren P, He Y, Guo N, Luo N, Li F, Wang Z, Yang Z. Ren P, et al. Among authors: luo n. BMC Med Inform Decis Mak. 2023 Nov 6;23(1):249. doi: 10.1186/s12911-023-02332-y. BMC Med Inform Decis Mak. 2023. PMID: 37932709 Free PMC article.

8

Diagnostic Performance of Angiography-Derived Quantitative Flow Ratio in Complex Coronary Lesions.

Wu X, Wang K, Li G, Wu J, Jiang J, Gao F, Zhu L, Xu Q, Wang X, Xu M, Chen H, Ma L, Han X, Luo N, Tu S, Wang J, Hu X. Wu X, et al. Among authors: luo n. Circ Cardiovasc Imaging. 2024 Mar;17(3):e016046. doi: 10.1161/CIRCIMAGING.123.016046. Epub 2024 Mar 19. Circ Cardiovasc Imaging. 2024. PMID: 38502735 Free article.

9

Noncontrast MR angiography (MRA) of infragenual arteries using flow-sensitive dephasing (FSD)-prepared steady-state free precession (SSFP) at 3.0 Tesla: Comparison with contrast-enhanced MRA.

Zhang N, Fan Z, Luo N, Bi X, Zhao Y, An J, Liu J, Chen Z, Fan Z, Li D. Zhang N, et al. Among authors: luo n. J Magn Reson Imaging. 2016 Feb;43(2):364-72. doi: 10.1002/jmri.25003. Epub 2015 Jul 16. J Magn Reson Imaging. 2016. PMID: 26185106 Free PMC article.

10

Image Quality and Stenosis Assessment of Non-Contrast-Enhanced 3-T Magnetic Resonance Angiography in Patients with Peripheral Artery Disease Compared with Contrast-Enhanced Magnetic Resonance Angiography and Digital Subtraction Angiography.

Liu J, Zhang N, Fan Z, Luo N, Zhao Y, Bi X, An J, Chen Z, Liu D, Wen Z, Fan Z, Li D. Liu J, et al. Among authors: luo n. PLoS One. 2016 Nov 18;11(11):e0166467. doi: 10.1371/journal.pone.0166467. eCollection 2016. PLoS One. 2016. PMID: 27861626 Free PMC article.

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