An MRI-calibrated poromechanical model predicts C6 glioma growth in rats with relative tumor volume errors of 4.73-36.03% and Dice scores of 0.75-0.93 on validation data.
Individualizing glioma radiotherapy planning by optimization of a data and physics-informed discrete loss.Nature Communica- tions, 16(1):5982
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.comp-ph 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
An MRI-informed poromechanical model for organ-scale prediction of glioma growth
An MRI-calibrated poromechanical model predicts C6 glioma growth in rats with relative tumor volume errors of 4.73-36.03% and Dice scores of 0.75-0.93 on validation data.