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Towards a Deep-Learning Approach for Prediction of Fraction..:
Hatfaludi, Cosmin-Andrei
;
Tache, Irina-Andra
;
Ciușdel, Costin Florian
...
Applied Sciences. 12 (2022) 14 - p. 6964 , 2022
Link:
https://doi.org/10.3390/app12146964
RT Journal T1
Towards a Deep-Learning Approach for Prediction of Fractional Flow Reserve from Optical Coherence Tomography
UL https://suche.suub.uni-bremen.de/peid=cr-10.3390_app12146964&Exemplar=1&LAN=DE A1 Hatfaludi, Cosmin-Andrei A1 Tache, Irina-Andra A1 Ciușdel, Costin Florian A1 Puiu, Andrei A1 Stoian, Diana A1 Itu, Lucian Mihai A1 Calmac, Lucian A1 Popa-Fotea, Nicoleta-Monica A1 Bataila, Vlad A1 Scafa-Udriste, Alexandru PB MDPI AG YR 2022 SN 2076-3417 JF Applied Sciences VO 12 IS 14 SP 6964 LK http://dx.doi.org/https://doi.org/10.3390/app12146964 DO https://doi.org/10.3390/app12146964 SF ELIB - SuUB Bremen
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