Article Versions Notes

Hatfaludi C-A, Tache I-A, Ciușdel CF, Puiu A, Stoian D, Itu LM, Calmac L, Popa-Fotea N-M, Bataila V, Scafa-Udriste A. Towards a Deep-Learning Approach for Prediction of Fractional Flow Reserve from Optical Coherence Tomography. Applied Sciences. 2022; 12(14):6964. https://doi.org/10.3390/app12146964

Hatfaludi, Cosmin-Andrei, Irina-Andra Tache, Costin Florian Ciușdel, Andrei Puiu, Diana Stoian, Lucian Mihai Itu, Lucian Calmac, Nicoleta-Monica Popa-Fotea, Vlad Bataila, and Alexandru Scafa-Udriste. 2022. "Towards a Deep-Learning Approach for Prediction of Fractional Flow Reserve from Optical Coherence Tomography" Applied Sciences 12, no. 14: 6964. https://doi.org/10.3390/app12146964

Hatfaludi, C. -A., Tache, I. -A., Ciușdel, C. F., Puiu, A., Stoian, D., Itu, L. M., Calmac, L., Popa-Fotea, N. -M., Bataila, V., & Scafa-Udriste, A. (2022). Towards a Deep-Learning Approach for Prediction of Fractional Flow Reserve from Optical Coherence Tomography. Applied Sciences, 12(14), 6964. https://doi.org/10.3390/app12146964