Pages that link to "Item:Q5000579"
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The following pages link to Where did the tumor start? An inverse solver with sparse localization for tumor growth models (Q5000579):
Displaying 10 items.
- An inverse problem for the recovery of the vascularization of a tumor (Q477425) (← links)
- Inverse problem approaches for mutation laws in heterogeneous tumours with local and nonlocal dynamics (Q2130440) (← links)
- Analyzing the role of the Inf-Sup condition for parameter identification in saddle point problems with application in elasticity imaging (Q5151520) (← links)
- An Offline-Online Decomposition Method for Efficient Linear Bayesian Goal-Oriented Optimal Experimental Design: Application to Optimal Sensor Placement (Q5886849) (← links)
- Learning physics-based models from data: perspectives from inverse problems and model reduction (Q5887831) (← links)
- A Fast and Scalable Computational Framework for Large-Scale High-Dimensional Bayesian Optimal Experimental Design (Q6109162) (← links)
- Large-scale Bayesian optimal experimental design with derivative-informed projected neural network (Q6159007) (← links)
- A unified Bayesian inversion approach for a class of tumor growth models with different pressure laws (Q6552257) (← links)
- Mathematical analysis of a model-constrained inverse problem for the reconstruction of early states of prostate cancer growth (Q6620722) (← links)
- A heterogeneous patient-specific model of glioblastoma multiforme tumor through an inverse problem (Q6654159) (← links)
