Pages that link to "Item:Q907131"

The following pages link to An inverse problem formulation for parameter estimation of a reaction-diffusion model of low grade gliomas (Q907131):

Displaying 39 items.

• Fokas transform method for a brain tumor invasion model with heterogeneous diffusion in 1+1 dimensions (Q268841) (← links)
• An inverse problem for the recovery of the vascularization of a tumor (Q477425) (← links)
• A mathematical method for parameter estimation in a tumor growth model (Q520326) (← links)
• An adjoint-based method for a linear mechanically-coupled tumor model: application to estimate the spatial variation of murine glioma growth based on diffusion weighted magnetic resonance imaging (Q670333) (← links)
• Adjoint method for a tumor invasion PDE-constrained optimization problem in 2D using adaptive finite element method (Q670794) (← links)
• An image-driven parameter estimation problem for a reaction-diffusion glioma growth model with mass effects (Q938170) (← links)
• Estimating intratumoral heterogeneity from spatiotemporal data (Q1633948) (← links)
• Nonlinear optimization for a tumor invasion PDE model (Q1655389) (← links)
• Coupling brain-tumor biophysical models and diffeomorphic image registration (Q1987828) (← links)
• Asymptotic analysis of solving an inverse boundary value problem for a nonlinear singularly perturbed time-periodic reaction-diffusion-advection equation (Q2010475) (← links)
• Solving coefficient inverse problems for nonlinear singularly perturbed equations of the reaction-diffusion-advection type with data on the position of a reaction front (Q2025557) (← links)
• PDE-constrained optimization in medical image analysis (Q2071424) (← links)
• Inverse problem approaches for mutation laws in heterogeneous tumours with local and nonlocal dynamics (Q2130440) (← links)
• Features of numerical reconstruction of a boundary condition in an inverse problem for a reaction-diffusion-advection equation with data on the position of a reaction front (Q2131367) (← links)
• Numerical simulation of front dynamics in a nonlinear singularly perturbed reaction-diffusion problem (Q2141591) (← links)
• Estimating the extent of glioblastoma invasion. Approximate stationalization of anisotropic advection-diffusion-reaction equations in the context of glioblastoma invasion (Q2223257) (← links)
• Simulation of glioblastoma growth using a 3D multispecies tumor model with mass effect (Q2315208) (← links)
• Some features of solving an inverse backward problem for a generalized Burgers' equation (Q2660775) (← links)
• Physiologic parameter estimation using inverse problems (Q2850685) (← links)
• Constrained $H^1$-Regularization Schemes for Diffeomorphic Image Registration (Q3179596) (← links)
• A Semi-Lagrangian Two-Level Preconditioned Newton--Krylov Solver for Constrained Diffeomorphic Image Registration (Q4595777) (← links)
• Numerical reconstruction of brain tumours (Q4988525) (← links)
• Where did the tumor start? An inverse solver with sparse localization for tumor growth models (Q5000579) (← links)
• Numerical simulations in 3-dimensions of reaction–diffusion models for brain tumour growth (Q5030636) (← links)
• Dispersion–current adjoint functions for monitoring accidental sources in 3D transport equations (Q5035866) (← links)
• Image-Driven Biophysical Tumor Growth Model Calibration (Q5112560) (← links)
• A convex inversion framework for identifying parameters in saddle point problems with applications to inverse incompressible elasticity (Q5116596) (← links)
• Analyzing the role of the Inf-Sup condition for parameter identification in saddle point problems with application in elasticity imaging (Q5151520) (← links)
• Contingent derivatives and regularization for noncoercive inverse problems (Q5228823) (← links)
• CLAIRE: A Distributed-Memory Solver for Constrained Large Deformation Diffeomorphic Image Registration (Q5241263) (← links)
• On convex modified output least-squares for elliptic inverse problems: stability, regularization, applications, and numerics (Q5277991) (← links)
• A Data Scalable Augmented Lagrangian KKT Preconditioner for Large-Scale Inverse Problems (Q5372667) (← links)
• Learning physics-based models from data: perspectives from inverse problems and model reduction (Q5887831) (← links)
• Convergence rates for nonlinear inverse problems of parameter identification using Bregman distances (Q6085813) (← links)
• Identifying a response parameter in a model of brain tumour evolution under therapy (Q6111744) (← links)
• Data driven modeling of pseudopalisade pattern formation (Q6158566) (← links)
• Estimation of parameter distributions for reaction-diffusion equations with competition using aggregate spatiotemporal data (Q6174018) (← links)
• On the features of numerical solution of coefficient inverse problems for nonlinear equations of the reaction-diffusion-advection type with data of various types (Q6203225) (← links)
• A heterogeneous patient-specific model of glioblastoma multiforme tumor through an inverse problem (Q6654159) (← links)