Lesion-Specific Prediction of Segmental Fractional Flow Reserve Using Deep Learning and Optical Coherence Tomography-Derived Features.
- DOI
- 10.1253/circj.cj-26-0020
- Published
- 2026 Jul 24
- Container
- Circulation journal : official journal of the Japanese Circulation Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1253/circj.cj-26-0020,
title = {Lesion-Specific Prediction of Segmental Fractional Flow Reserve Using Deep Learning and Optical Coherence Tomography-Derived Features.},
author = {Eom J and Kang DO and Nam HS and Lee W and Kim JW and Yoo H},
year = {2026},
journal = {Circulation journal : official journal of the Japanese Circulation Society},
doi = {10.1253/circj.cj-26-0020},
url = {https://doi.org/10.1253/circj.cj-26-0020}
}RIS
TY - JOUR TI - Lesion-Specific Prediction of Segmental Fractional Flow Reserve Using Deep Learning and Optical Coherence Tomography-Derived Features. AU - Eom J AU - Kang DO AU - Nam HS AU - Lee W AU - Kim JW AU - Yoo H PY - 2026 JO - Circulation journal : official journal of the Japanese Circulation Society DO - 10.1253/circj.cj-26-0020 UR - https://doi.org/10.1253/circj.cj-26-0020 ER -
APA
J, E., DO, K., HS, N., W, L., JW, K., & H, Y. (2026). Lesion-Specific Prediction of Segmental Fractional Flow Reserve Using Deep Learning and Optical Coherence Tomography-Derived Features.. Circulation journal : official journal of the Japanese Circulation Society. https://doi.org/10.1253/circj.cj-26-0020
Source records
- pubmed · retrieved 2026-09-25T13:25:09.190Z