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20232026
most citedPatient-specific prediction of glioblastoma growth via reduced order modeling and neural networks

6 citations · 6 across the 5 of their papers we have counts for

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eess.IV2024★ 6 cited

Patient-specific prediction of glioblastoma growth via reduced order modeling and neural networks

D. Cerrone, D. Riccobelli, S. Gazzoni +7

Glioblastoma is among the most aggressive brain tumors in adults, characterized by patient-specific invasion patterns driven by the underlying brain microstructure. In this work, w…

math.NA2024

Deep learning enhanced cost-aware multi-fidelity uncertainty quantification of a computational model for radiotherapy

Piermario Vitullo, Nicola Rares Franco, Paolo Zunino

Forward uncertainty quantification (UQ) for partial differential equations is a many-query task that requires a significant number of model evaluations. The objective of this work…