Pages that link to "Item:Q1979532"
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The following pages link to Generating patient-specific virtual tumor populations with reaction-diffusion models and molecular imaging data (Q1979532):
Displaying 9 items.
- Integrating imaging data into predictive biomathematical and biophysical models of cancer (Q355902) (← links)
- Multimodal imaging techniques for the extraction of detailed geometrical and physiological information for use in multi-scale models of colorectal cancer and treatment of individual patients (Q883755) (← links)
- Estimating intratumoral heterogeneity from spatiotemporal data (Q1633948) (← links)
- Towards the design of a patient-specific virtual tumour (Q2013971) (← links)
- A tutorial review of mathematical techniques for quantifying tumor heterogeneity (Q2038763) (← links)
- Adaptive extraction of oil painting texture features based on reaction diffusion equation (Q2064693) (← links)
- Selection and validation of predictive models of radiation effects on tumor growth based on noninvasive imaging data (Q2310104) (← links)
- Three-dimensional image-based mechanical modeling for predicting the response of breast cancer to neoadjuvant therapy (Q2310378) (← links)
- Applying a patient-specific bio-mathematical model of glioma growth to develop virtual [18F]-FMISO-PET images (Q2881029) (← links)
