Evaluating the Accuracy and Efficiency of Virtual Reality Segmentation for Black-Blood Fetal Cardiac MRI

Sydney Azar, Rick Friesen, S. B. Yuvaraj Rejeti, Jenny E. Zablah

Open source

DOI: 10.1007/s00246-026-04478-8
Published: 2026-09-23
Container: Pediatric Cardiology
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s00246-026-04478-8,
  title = {Evaluating the Accuracy and Efficiency of Virtual Reality Segmentation for Black-Blood Fetal Cardiac MRI},
  author = {Sydney Azar and Rick Friesen and S. B. Yuvaraj Rejeti and Jenny E. Zablah},
  year = {2026},
  journal = {Pediatric Cardiology},
  doi = {10.1007/s00246-026-04478-8},
  url = {https://doi.org/10.1007/s00246-026-04478-8}
}

RIS

TY  - JOUR
TI  - Evaluating the Accuracy and Efficiency of Virtual Reality Segmentation for Black-Blood Fetal Cardiac MRI
AU  - Sydney Azar
AU  - Rick Friesen
AU  - S. B. Yuvaraj Rejeti
AU  - Jenny E. Zablah
PY  - 2026
JO  - Pediatric Cardiology
DO  - 10.1007/s00246-026-04478-8
UR  - https://doi.org/10.1007/s00246-026-04478-8
ER  -

APA

Azar, S., Friesen, R., Rejeti, S. B. Y., & Zablah, J. E. (2026). Evaluating the Accuracy and Efficiency of Virtual Reality Segmentation for Black-Blood Fetal Cardiac MRI. Pediatric Cardiology. https://doi.org/10.1007/s00246-026-04478-8

Source records

crossref · retrieved 2026-09-25T19:49:37.079Z