Pages that link to "Item:Q938170"
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The following pages link to An image-driven parameter estimation problem for a reaction-diffusion glioma growth model with mass effects (Q938170):
Displaying 43 items.
- 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)
- Mathematically modeling the biological properties of gliomas: A review (Q888660) (← links)
- An inverse problem formulation for parameter estimation of a reaction-diffusion model of low grade gliomas (Q907131) (← links)
- Directional entropy based model for diffusivity-driven tumor growth (Q907292) (← links)
- An image-driven parameter estimation problem for a reaction-diffusion glioma growth model with mass effects (Q938170) (← links)
- A patient-specific anisotropic diffusion model for brain tumour spread (Q1648993) (← links)
- Nonlinear optimization for a tumor invasion PDE model (Q1655389) (← links)
- Identification of intrinsic \textit{in vitro} cellular mechanisms for glioma invasion (Q1786423) (← links)
- Generating patient-specific virtual tumor populations with reaction-diffusion models and molecular imaging data (Q1979532) (← links)
- Coupling brain-tumor biophysical models and diffeomorphic image registration (Q1987828) (← links)
- A fixed mesh method with immersed finite elements for solving interface inverse problems (Q2000030) (← links)
- PDE-constrained optimization in medical image analysis (Q2071424) (← links)
- Deep learning characterization of brain tumours with diffusion weighted imaging (Q2105512) (← links)
- Inverse problem approaches for mutation laws in heterogeneous tumours with local and nonlocal dynamics (Q2130440) (← links)
- On a phase field model of Cahn-Hilliard type for tumour growth with mechanical effects (Q2215483) (← links)
- Mathematical modeling of glioma invasion: acid- and vasculature mediated go-or-grow dichotomy and the influence of tissue anisotropy (Q2243281) (← links)
- Hierarchical normalized completely random measures for robust graphical modeling (Q2290716) (← links)
- A numerical simulation study of the dual role of \(5\alpha\)-reductase inhibitors on tumor growth in prostates enlarged by benign prostatic hyperplasia via stress relaxation and apoptosis upregulation (Q2310262) (← links)
- Three-dimensional image-based mechanical modeling for predicting the response of breast cancer to neoadjuvant therapy (Q2310378) (← links)
- Simulation of glioblastoma growth using a 3D multispecies tumor model with mass effect (Q2315208) (← links)
- Parameter identification problems in the modelling of cell motility (Q2355793) (← links)
- A Luenberger observer for reaction-diffusion models with front position data (Q2374696) (← links)
- Fast solvers for optimal control problems from pattern formation (Q2374888) (← links)
- An efficient and robust numerical algorithm for estimating parameters in Turing systems (Q2638236) (← links)
- Tracking glioblastoma progression after initial resection with minimal reaction-diffusion models (Q2686700) (← links)
- System identification in tumor growth modeling using semi-empirical eigenfunctions (Q2911909) (← links)
- Asynchronous parallel hybrid optimization combining DIRECT and GSS (Q3161143) (← links)
- Brain–Tumor Interaction Biophysical Models for Medical Image Registration (Q3648602) (← links)
- Joint State-Parameter Estimation for Tumor Growth Model (Q4986534) (← links)
- Numerical reconstruction of brain tumours (Q4988525) (← links)
- Parameter estimation for a morphochemical reaction-diffusion model of electrochemical pattern formation (Q4990717) (← 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)
- Multiscale Modeling of Glioma Invasion: From Receptor Binding to Flux-Limited Macroscopic PDEs (Q5099847) (← links)
- Image-Driven Biophysical Tumor Growth Model Calibration (Q5112560) (← links)
- Modelling microtube driven invasion of glioma (Q6140874) (← links)
- Data driven modeling of pseudopalisade pattern formation (Q6158566) (← links)
- A data‐driven optimal control method for endoplasmic reticulum membrane compartmentalization in budding yeast cells (Q6179867) (← links)
- Adjoint method for a tumor growth PDE-constrained optimization problem (Q6553557) (← links)
- A heterogeneous patient-specific model of glioblastoma multiforme tumor through an inverse problem (Q6654159) (← links)
- Modelling and simulation of anisotropic growth in brain tumours through poroelasticity: a study of ventricular compression and therapeutic protocols (Q6661933) (← links)
