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1.
Effect of 320-Row Computed Tomography Acquisition Technology on Coronary Computed Tomography Angiography-Derived Fractional Flow Reserve Based on Machine Learning: Systolic and Diastolic Scan Acquisition.
J Comput Assist Tomogr
; 47(2): 205-211, 2023.
Article
in English
| MEDLINE | ID: mdl-36877750
2.
Experimental investigation on pore characteristics of vitrain and durain in low rank coal based on fractal theory.
Sci Rep
; 14(1): 5008, 2024 Feb 29.
Article
in English
| MEDLINE | ID: mdl-38424160
3.
Study of Reasonable Grouting Pressure in the Process of Measuring Coal Seam Gas Pressure and Application.
ACS Omega
; 8(29): 25892-25902, 2023 Jul 25.
Article
in English
| MEDLINE | ID: mdl-37521619
4.
Study on the emergency capacity of coal mine enterprises in Longdong Area based on D-FAHP method.
Sci Rep
; 13(1): 7503, 2023 May 09.
Article
in English
| MEDLINE | ID: mdl-37161003
5.
Effect of 320-row CT reconstruction technology on fractional flow reserve derived from coronary CT angiography based on machine learning: single- versus multiple-cardiac periodic images.
Quant Imaging Med Surg
; 12(6): 3092-3103, 2022 Jun.
Article
in English
| MEDLINE | ID: mdl-35655842
6.
Non-small cell lung cancer: Spectral computed tomography quantitative parameters for preoperative diagnosis of metastatic lymph nodes.
Eur J Radiol
; 89: 129-135, 2017 Apr.
Article
in English
| MEDLINE | ID: mdl-28267528
7.
Evaluation of stenosis severity of coronary calcified lesions using transluminal attenuation gradient: clinical application of 320-row volume CT.
Minerva Med
; 108(4): 305-316, 2017 Aug.
Article
in English
| MEDLINE | ID: mdl-28248067
8.
[GSI Quantitative Parameters: Preoperative Diagnosis of Metastasis Lymph Nodes in Lung Cancer].
Zhongguo Fei Ai Za Zhi
; 19(11): 738-745, 2016 Nov 20.
Article
in Zh
| MEDLINE | ID: mdl-27866516
9.
Synthesis and in vitro photodynamic activity of oligomeric ethylene glycol-quinoline substituted zinc(II) phthalocyanine derivatives.
J Med Chem
; 56(14): 5797-805, 2013 Jul 25.
Article
in English
| MEDLINE | ID: mdl-23786380
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