Pages that link to "Item:Q2310104"
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The following pages link to Selection and validation of predictive models of radiation effects on tumor growth based on noninvasive imaging data (Q2310104):
Displaying 36 items.
- Toward predictive multiscale modeling of vascular tumor growth, computational and experimental oncology for tumor prediction (Q525356) (← links)
- Parameter identification via optimal control for a Cahn-Hilliard-chemotaxis system with a variable mobility (Q781547) (← links)
- Parallel fast isogeometric L2 projection solver with Galois system for 3D tumor growth simulations (Q1986431) (← links)
- Coupling brain-tumor biophysical models and diffeomorphic image registration (Q1987828) (← links)
- Visualizing the invisible: the effect of asymptomatic transmission on the outbreak dynamics of COVID-19 (Q2021038) (← links)
- Analysis of a new multispecies tumor growth model coupling 3D phase-fields with a 1D vascular network (Q2066556) (← links)
- PDE-constrained optimization in medical image analysis (Q2071424) (← links)
- Goal-oriented a-posteriori estimation of model error as an aid to parameter estimation (Q2083651) (← links)
- Model selection for assessing the effects of doxorubicin on triple-negative breast cancer cell lines (Q2105797) (← links)
- Spatio-temporal modelling of phenotypic heterogeneity in tumour tissues and its impact on radiotherapy treatment (Q2109231) (← links)
- Identification of model uncertainty via optimal design of experiments applied to a mechanical press (Q2138321) (← links)
- Analysis of a tumor model as a multicomponent deformable porous medium (Q2141694) (← links)
- Weak and stationary solutions to a Cahn-Hilliard-Brinkman model with singular potentials and source terms (Q2188412) (← links)
- On a phase field model of Cahn-Hilliard type for tumour growth with mechanical effects (Q2215483) (← 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)
- Improved model prediction of glioma growth utilizing tissue-specific boundary effects (Q2328412) (← links)
- Bayesian calibration, validation, and uncertainty quantification of diffuse interface models of tumor growth (Q2435073) (← links)
- A Bayesian image analysis of radiation induced changes in tumor vascular permeability (Q2635198) (← links)
- Optimizing combination therapy in a murine model of HER2+ breast cancer (Q2679319) (← links)
- Toward selecting optimal predictive multiscale models (Q2679323) (← links)
- Local and nonlocal phase-field models of tumor growth and invasion due to ECM degradation (Q4973281) (← links)
- On a class of non-local phase-field models for tumor growth with possibly singular potentials, chemotaxis, and active transport (Q4990896) (← links)
- How Do Degenerate Mobilities Determine Singularity Formation in Cahn--Hilliard Equations? (Q5006471) (← links)
- Strong well-posedness and inverse identification problem of a non-local phase field tumour model with degenerate mobilities (Q5056767) (← links)
- Image-Driven Biophysical Tumor Growth Model Calibration (Q5112560) (← links)
- Mathematical analysis and simulation study of a phase-field model of prostate cancer growth with chemotherapy and antiangiogenic therapy effects (Q5127160) (← links)
- A Practical Example for the Non-linear Bayesian Filtering of Model Parameters (Q5141298) (← links)
- Optimal control of cytotoxic and antiangiogenic therapies on prostate cancer growth (Q5164240) (← links)
- Bayesian Parameter Identification in Cahn--Hilliard Models for Biological Growth (Q5228367) (← links)
- Adaptive multiscale predictive modelling (Q5230519) (← links)
- Sparse Optimal Control of a Phase Field Tumor Model with Mechanical Effects (Q5859528) (← links)
- Tumor evolution models of phase-field type with nonlocal effects and angiogenesis (Q6044237) (← links)
- A machine learning-based probabilistic computational framework for uncertainty quantification of actuation of clustered tensegrity structures (Q6164273) (← links)
- Residual-based error corrector operator to enhance accuracy and reliability of neural operator surrogates of nonlinear variational boundary-value problems (Q6185165) (← links)
- On the well-posedness of the Cahn-Hilliard-Biot model and its applications to tumor growth (Q6662524) (← links)
