Pages that link to "Item:Q3648602"
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The following pages link to Brain–Tumor Interaction Biophysical Models for Medical Image Registration (Q3648602):
Displaying 12 items.
- An inverse problem formulation for parameter estimation of a reaction-diffusion model of low grade gliomas (Q907131) (← links)
- An image-driven parameter estimation problem for a reaction-diffusion glioma growth model with mass effects (Q938170) (← links)
- Coupling brain-tumor biophysical models and diffeomorphic image registration (Q1987828) (← links)
- PDE-constrained optimization in medical image analysis (Q2071424) (← links)
- Constrained $H^1$-Regularization Schemes for Diffeomorphic Image Registration (Q3179596) (← links)
- Atlas-based segmentation of pathological brains using a model of tumor growth (Q4440175) (← links)
- Where did the tumor start? An inverse solver with sparse localization for tumor growth models (Q5000579) (← links)
- Image-Driven Biophysical Tumor Growth Model Calibration (Q5112560) (← links)
- Biomechanical modelling of spinal tumour anisotropic growth (Q5160960) (← links)
- An Inexact Newton--Krylov Algorithm for Constrained Diffeomorphic Image Registration (Q5250023) (← links)
- An operator-splitting approach for variational optimal control formulations for diffeomorphic shape matching (Q6048428) (← links)
- A Comparative Study of Different Variants of Newton--Krylov PDE-Constrained Stokes-LDDMM Parameterized in the Space of Band-Limited Vector Fields (Q6176001) (← links)
