313 related articles for article (PubMed ID: 32130576)
1. The impact of iterative reconstruction algorithms on machine learning-based coronary CT angiography-derived fractional flow reserve (CT-FFR
Li S; Chen C; Qin L; Gu S; Zhang H; Yan F; Yang W
Int J Cardiovasc Imaging; 2020 Jun; 36(6):1177-1185. PubMed ID: 32130576
[TBL] [Abstract][Full Text] [Related]
2. Artificial intelligence machine learning-based coronary CT fractional flow reserve (CT-FFR
Mastrodicasa D; Albrecht MH; Schoepf UJ; Varga-Szemes A; Jacobs BE; Gassenmaier S; De Santis D; Eid MH; van Assen M; Tesche C; Mantini C; De Cecco CN
J Cardiovasc Comput Tomogr; 2019; 13(6):331-335. PubMed ID: 30391256
[TBL] [Abstract][Full Text] [Related]
3. Correlation of machine learning computed tomography-based fractional flow reserve with instantaneous wave free ratio to detect hemodynamically significant coronary stenosis.
Baumann S; Hirt M; Schoepf UJ; Rutsch M; Tesche C; Renker M; Golden JW; Buss SJ; Becher T; Bojara W; Weiss C; Papavassiliu T; Akin I; Borggrefe M; Schoenberg SO; Haubenreisser H; Overhoff D; Lossnitzer D
Clin Res Cardiol; 2020 Jun; 109(6):735-745. PubMed ID: 31664509
[TBL] [Abstract][Full Text] [Related]
4. Iterative beam-hardening correction with advanced modeled iterative reconstruction in low voltage CT coronary calcium scoring with tin filtration: Impact on coronary artery calcium quantification and image quality.
Tesche C; De Cecco CN; Schoepf UJ; Duguay TM; Albrecht MH; Caruso D; Varga-Szemes A; Lesslie VW; Ebersberger U; Canstein C; Thilo C; Hoffmann E; Allmendinger T; Nance JW
J Cardiovasc Comput Tomogr; 2017; 11(5):354-359. PubMed ID: 28756086
[TBL] [Abstract][Full Text] [Related]
5. Coronary CT Angiography-derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling.
Tesche C; De Cecco CN; Baumann S; Renker M; McLaurin TW; Duguay TM; Bayer RR; Steinberg DH; Grant KL; Canstein C; Schwemmer C; Schoebinger M; Itu LM; Rapaka S; Sharma P; Schoepf UJ
Radiology; 2018 Jul; 288(1):64-72. PubMed ID: 29634438
[TBL] [Abstract][Full Text] [Related]
6. Stable patients with suspected myocardial ischemia: comparison of machine-learning computed tomography-based fractional flow reserve and stress perfusion cardiovascular magnetic resonance imaging to detect myocardial ischemia.
Lossnitzer D; Klenantz S; Andre F; Goerich J; Schoepf UJ; Pazzo KL; Sommer A; Brado M; Gückel F; Sokiranski R; Becher T; Akin I; Buss SJ; Baumann S
BMC Cardiovasc Disord; 2022 Feb; 22(1):34. PubMed ID: 35120459
[TBL] [Abstract][Full Text] [Related]
7. The impact of deep learning reconstruction on image quality and coronary CT angiography-derived fractional flow reserve values.
Xu C; Xu M; Yan J; Li YY; Yi Y; Guo YB; Wang M; Li YM; Jin ZY; Wang YN
Eur Radiol; 2022 Nov; 32(11):7918-7926. PubMed ID: 35596780
[TBL] [Abstract][Full Text] [Related]
8. Noninvasive diagnosis of ischemia-causing coronary stenosis using CT angiography: diagnostic value of transluminal attenuation gradient and fractional flow reserve computed from coronary CT angiography compared to invasively measured fractional flow reserve.
Yoon YE; Choi JH; Kim JH; Park KW; Doh JH; Kim YJ; Koo BK; Min JK; Erglis A; Gwon HC; Choe YH; Choi DJ; Kim HS; Oh BH; Park YB
JACC Cardiovasc Imaging; 2012 Nov; 5(11):1088-96. PubMed ID: 23153908
[TBL] [Abstract][Full Text] [Related]
9. Effect of the ratio of coronary arterial lumen volume to left ventricle myocardial mass derived from coronary CT angiography on fractional flow reserve.
Taylor CA; Gaur S; Leipsic J; Achenbach S; Berman DS; Jensen JM; Dey D; Bøtker HE; Kim HJ; Khem S; Wilk A; Zarins CK; Bezerra H; Lesser J; Ko B; Narula J; Ahmadi A; Øvrehus KA; St Goar F; De Bruyne B; Nørgaard BL
J Cardiovasc Comput Tomogr; 2017 Nov; 11(6):429-436. PubMed ID: 28789941
[TBL] [Abstract][Full Text] [Related]
10. Gender differences in the diagnostic performance of machine learning coronary CT angiography-derived fractional flow reserve -results from the MACHINE registry.
Baumann S; Renker M; Schoepf UJ; De Cecco CN; Coenen A; De Geer J; Kruk M; Kim YH; Albrecht MH; Duguay TM; Jacobs BE; Bayer RR; Litwin SE; Weiss C; Akin I; Borggrefe M; Yang DH; Kepka C; Persson A; Nieman K; Tesche C
Eur J Radiol; 2019 Oct; 119():108657. PubMed ID: 31521876
[TBL] [Abstract][Full Text] [Related]
11. Coronary CT angiography derived morphological and functional quantitative plaque markers correlated with invasive fractional flow reserve for detecting hemodynamically significant stenosis.
Tesche C; De Cecco CN; Caruso D; Baumann S; Renker M; Mangold S; Dyer KT; Varga-Szemes A; Baquet M; Jochheim D; Ebersberger U; Bayer RR; Hoffmann E; Steinberg DH; Schoepf UJ
J Cardiovasc Comput Tomogr; 2016; 10(3):199-206. PubMed ID: 26993434
[TBL] [Abstract][Full Text] [Related]
12. Coronary CT angiography derived fractional flow reserve: Methodology and evaluation of a point of care algorithm.
Coenen A; Lubbers MM; Kurata A; Kono A; Dedic A; Chelu RG; Dijkshoorn ML; van Geuns RJ; Schoebinger M; Itu L; Sharma P; Nieman K
J Cardiovasc Comput Tomogr; 2016; 10(2):105-13. PubMed ID: 26747231
[TBL] [Abstract][Full Text] [Related]
13. Diffuse coronary artery disease among other atherosclerotic plaque characteristics by coronary computed tomography angiography for predicting coronary vessel-specific ischemia by fractional flow reserve.
Rizvi A; Hartaigh BÓ; Danad I; Han D; Lee JH; Gransar H; Szymonifka J; Lin FY; Min JK
Atherosclerosis; 2017 Mar; 258():145-151. PubMed ID: 28168977
[TBL] [Abstract][Full Text] [Related]
14. Optimized interpretation of fractional flow reserve derived from computed tomography: Comparison of three interpretation methods.
Takagi H; Ishikawa Y; Orii M; Ota H; Niiyama M; Tanaka R; Morino Y; Yoshioka K
J Cardiovasc Comput Tomogr; 2019; 13(2):134-141. PubMed ID: 30385326
[TBL] [Abstract][Full Text] [Related]
15. The impact of image resolution on computation of fractional flow reserve: coronary computed tomography angiography versus 3-dimensional quantitative coronary angiography.
Liu L; Yang W; Nagahara Y; Li Y; Lamooki SR; Muramatsu T; Kitslaar P; Sarai M; Ozaki Y; Barlis P; Yan F; Reiber JH; Tu S
Int J Cardiovasc Imaging; 2016 Mar; 32(3):513-23. PubMed ID: 26507326
[TBL] [Abstract][Full Text] [Related]
16. Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography-Based Fractional Flow Reserve: Result From the MACHINE Consortium.
Coenen A; Kim YH; Kruk M; Tesche C; De Geer J; Kurata A; Lubbers ML; Daemen J; Itu L; Rapaka S; Sharma P; Schwemmer C; Persson A; Schoepf UJ; Kepka C; Hyun Yang D; Nieman K
Circ Cardiovasc Imaging; 2018 Jun; 11(6):e007217. PubMed ID: 29914866
[TBL] [Abstract][Full Text] [Related]
17. Influence of Coronary Calcium on Diagnostic Performance of Machine Learning CT-FFR: Results From MACHINE Registry.
Tesche C; Otani K; De Cecco CN; Coenen A; De Geer J; Kruk M; Kim YH; Albrecht MH; Baumann S; Renker M; Bayer RR; Duguay TM; Litwin SE; Varga-Szemes A; Steinberg DH; Yang DH; Kepka C; Persson A; Nieman K; Schoepf UJ
JACC Cardiovasc Imaging; 2020 Mar; 13(3):760-770. PubMed ID: 31422141
[TBL] [Abstract][Full Text] [Related]
18. CT-based myocardial ischemia evaluation: quantitative angiography, transluminal attenuation gradient, myocardial perfusion, and CT-derived fractional flow reserve.
Koo HJ; Yang DH; Kim YH; Kang JW; Kang SJ; Kweon J; Kim HJ; Lim TH
Int J Cardiovasc Imaging; 2016 Jun; 32 Suppl 1():1-19. PubMed ID: 26667445
[TBL] [Abstract][Full Text] [Related]
19. Relative atherosclerotic plaque volume by CT coronary angiography trumps conventional stenosis assessment for identifying flow-limiting lesions.
Kato N; Kishi S; Arbab-Zadeh A; Rybicki FJ; Tanimoto S; Aoki J; Watanabe M; Horiuchi Y; Furui K; Hara K; Ibukuro K; Lima JAC; Tanabe K
Int J Cardiovasc Imaging; 2017 Nov; 33(11):1847-1855. PubMed ID: 28597124
[TBL] [Abstract][Full Text] [Related]
20. CT-based total vessel plaque analyses improves prediction of hemodynamic significance lesions as assessed by fractional flow reserve in patients with stable angina pectoris.
Øvrehus KA; Gaur S; Leipsic J; Jensen JM; Dey D; Bøtker HE; Ahmadi A; Achenbach S; Ko B; Nørgaard BL
J Cardiovasc Comput Tomogr; 2018; 12(4):344-349. PubMed ID: 29866619
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
