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PreprintAll rights reservedbioRxiv

A Physics-Informed Neural Network Surrogate for Patient-Specific Hepatic Arterial Hemodynamics in Yttrium-90 Radioembolization: Network Architecture, Boundary-Condition Enforcement, and Data Efficiency

  • E. Taatizadeh1
  • N. K. Panneer Selvam
  • E. Roncali
  1. 1University of California, Davis
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BibTeX
@misc{taatizadeh2026physicsinformed,
  title = {{A Physics-Informed Neural Network Surrogate for Patient-Specific Hepatic Arterial Hemodynamics in Yttrium-90 Radioembolization: Network Architecture, Boundary-Condition Enforcement, and Data Efficiency}},
  author = {E. Taatizadeh and N. K. Panneer Selvam and E. Roncali},
  howpublished = {bioRxiv},
  year = {2026},
  month = sep,
  doi = {10.64898/2026.09.26.754555},
  url = {https://www.biorxiv.org/content/10.64898/2026.09.26.754555v1},
}
RIS
TY  - UNPB
TI  - A Physics-Informed Neural Network Surrogate for Patient-Specific Hepatic Arterial Hemodynamics in Yttrium-90 Radioembolization: Network Architecture, Boundary-Condition Enforcement, and Data Efficiency
AU  - E. Taatizadeh
AU  - N. K. Panneer Selvam
AU  - E. Roncali
PY  - 2026
DA  - 2026/09/26
PB  - bioRxiv
DO  - 10.64898/2026.09.26.754555
UR  - https://www.biorxiv.org/content/10.64898/2026.09.26.754555v1
ER  -