Yu L - Search Results

1

Deep learning reconstruction for coronary CT angiography in patients with origin anomaly, stent or bypass graft.

Yu L, Yu Y, Li M, Ling R, Li Y, Wang A, Wang X, Song Y, Zhang X, Dong P, Zhan Y, Wu D, Zhang J. Yu L, et al. Among authors: yu y. Radiol Med. 2024 Aug;129(8):1173-1183. doi: 10.1007/s11547-024-01846-3. Epub 2024 Jul 18. Radiol Med. 2024. PMID: 39023665

2

Deep Learning Segmentation and Reconstruction for CT of Chronic Total Coronary Occlusion.

Li M, Ling R, Yu L, Yang W, Chen Z, Wu D, Zhang J. Li M, et al. Among authors: yu l. Radiology. 2023 Mar;306(3):e221393. doi: 10.1148/radiol.221393. Epub 2022 Oct 25. Radiology. 2023. PMID: 36283114

3

Design and rationale of randomized CT-PRECISION study.

Dai X, Yu Y, Yu L, Zhang L, Zhang J. Dai X, et al. Among authors: yu l, yu y. Cardiovasc Diagn Ther. 2021 Jun;11(3):760-767. doi: 10.21037/cdt-21-57. Cardiovasc Diagn Ther. 2021. PMID: 34295702 Free PMC article.

4

A Novel Computed Tomography-Based Imaging Approach for Etiology Evaluation in Patients With Acute Coronary Syndrome and Non-obstructive Coronary Angiography.

Ling R, Yu L, Lu Z, Li Y, Zhang J. Ling R, et al. Among authors: yu l. Front Cardiovasc Med. 2021 Aug 24;8:735118. doi: 10.3389/fcvm.2021.735118. eCollection 2021. Front Cardiovasc Med. 2021. PMID: 34504882 Free PMC article.

5

Prediction of microvascular complications in diabetic patients without obstructive coronary stenosis based on peri-coronary adipose tissue attenuation model.

Yu Y, Ding X, Yu L, Lan Z, Wang Y, Zhang J. Yu Y, et al. Among authors: yu l. Eur Radiol. 2023 Mar;33(3):2015-2026. doi: 10.1007/s00330-022-09176-6. Epub 2022 Oct 18. Eur Radiol. 2023. PMID: 36255489

6

Radiomics features of pericoronary adipose tissue improve CT-FFR performance in predicting hemodynamically significant coronary artery stenosis.

Yu L, Chen X, Ling R, Yu Y, Yang W, Sun J, Zhang J. Yu L, et al. Among authors: yu y. Eur Radiol. 2023 Mar;33(3):2004-2014. doi: 10.1007/s00330-022-09175-7. Epub 2022 Oct 18. Eur Radiol. 2023. PMID: 36258046

7

Computed Tomography Radiomics Model Predicts Procedure Success of Coronary Chronic Total Occlusions.

Ling R, Chen X, Yu Y, Yu L, Yang W, Xu Z, Li Y, Zhang J. Ling R, et al. Among authors: yu l, yu y. Circ Cardiovasc Imaging. 2023 Feb;16(2):e014826. doi: 10.1161/CIRCIMAGING.122.014826. Epub 2023 Feb 21. Circ Cardiovasc Imaging. 2023. PMID: 36802447

8

CT-derived fractional flow reserve for prediction of major adverse cardiovascular events in diabetic patients.

Lan Z, Ding X, Yu Y, Yu L, Yang W, Dai X, Ling R, Wang Y, Yang W, Zhang J. Lan Z, et al. Among authors: yu l, yu y. Cardiovasc Diabetol. 2023 Mar 21;22(1):65. doi: 10.1186/s12933-023-01801-y. Cardiovasc Diabetol. 2023. PMID: 36944990 Free PMC article.

9

Financial and clinical outcomes of CT myocardial perfusion imaging and coronary CT angiography-guided versus coronary CT angiography-guided strategy.

Dai X, Lan Z, Ling R, Yu Y, Yu L, Lu Z, Shen C, Kitagawa K, Li Y, Yang W, Zhang J. Dai X, et al. Among authors: yu l, yu y. Eur Radiol. 2023 Nov;33(11):8191-8202. doi: 10.1007/s00330-023-09787-7. Epub 2023 Jun 7. Eur Radiol. 2023. PMID: 37286790

10

CT Fractional Flow Reserve for the Diagnosis of Myocardial Bridging-Related Ischemia: A Study Using Dynamic CT Myocardial Perfusion Imaging as a Reference Standard.

Yu Y, Yu L, Dai X, Zhang J. Yu Y, et al. Among authors: yu l. Korean J Radiol. 2021 Dec;22(12):1964-1973. doi: 10.3348/kjr.2021.0043. Epub 2021 Sep 24. Korean J Radiol. 2021. PMID: 34668350 Free PMC article.

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