Computational Predictive Modeling of Surgical Outcomes in Total Anomalous Pulmonary Venous Connection: Assessing the Impact of Pulmonary Venous Confluence Size on Preoperative Planning.

Jin J, Shi Z, Gao Q, Yu J, Jin I, Liang J, Fan X.

Open source

DOI
10.1007/s12265-025-10725-9
Published
2026-02-04
Container
J Cardiovasc Transl Res
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1007/s12265-025-10725-9,
  title = {Computational Predictive Modeling of Surgical Outcomes in Total Anomalous Pulmonary Venous Connection: Assessing the Impact of Pulmonary Venous Confluence Size on Preoperative Planning.},
  author = {Jin J and  Shi Z and  Gao Q and  Yu J and  Jin I and  Liang J and  Fan X.},
  year = {2026},
  journal = {J Cardiovasc Transl Res},
  doi = {10.1007/s12265-025-10725-9},
  url = {https://doi.org/10.1007/s12265-025-10725-9}
}

RIS

TY  - JOUR
TI  - Computational Predictive Modeling of Surgical Outcomes in Total Anomalous Pulmonary Venous Connection: Assessing the Impact of Pulmonary Venous Confluence Size on Preoperative Planning.
AU  - Jin J
AU  -  Shi Z
AU  -  Gao Q
AU  -  Yu J
AU  -  Jin I
AU  -  Liang J
AU  -  Fan X.
PY  - 2026
JO  - J Cardiovasc Transl Res
DO  - 10.1007/s12265-025-10725-9
UR  - https://doi.org/10.1007/s12265-025-10725-9
ER  - 

APA

J, J., Z, S., Q, G., J, Y., I, J., J, L., & X., F. (2026). Computational Predictive Modeling of Surgical Outcomes in Total Anomalous Pulmonary Venous Connection: Assessing the Impact of Pulmonary Venous Confluence Size on Preoperative Planning.. J Cardiovasc Transl Res. https://doi.org/10.1007/s12265-025-10725-9

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