Technical Programme
06 June 2022
11:00 - 13:00
Add Image-informed computational models and methods for prediction of cancer growth and treatment response I Minisymposium organized by Guillermo Lorenzo, David A. Hormuth II, Chengyue Wu, Ernesto A.B.F. Lima, Michael R. A. Abdelmalik, Alessandro Reali, Thomas J.R. Hughes and Thomas E. Yankeelov |
MS16A Room: O – 3 Chair: Guillermo Lorenzo CoChair: Michael R. A. Abdelmalik |
A Cahn-Hilliard Keller-Segel model for tumor growth with angiogenesis
Image-informed biomechanical model for glioblastoma growth: a combined descriptive and predictive model
Fitting the evolution of glioma‘s mean radius before and after radiotherapy with a simple biophysical model
Patient-specific prediction of the growth of asymptotic meningiomas using spatial mechanistic modeling and deep learning
Modeling and simulation of vascular tumors embedded in evolving capillary networks
Personalized computational forecasting of prostate cancer growth during active surveillance
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06 June 2022
14:00 - 16:00
Add Image-informed computational models and methods for prediction of cancer growth and treatment response II Minisymposium organized by Guillermo Lorenzo, David A. Hormuth II, Chengyue Wu, Ernesto A.B.F. Lima, Michael R. A. Abdelmalik, Alessandro Reali, Thomas J.R. Hughes and Thomas E. Yankeelov |
MS16B Room: O – 3 Chair: Guillermo Lorenzo CoChair: Michael R. A. Abdelmalik |
Dynamic contrast enhanced MRI for informing cancer treatment: challenges and outlook for use in cancer modeling
A Finite Element method to incorporate the effects of diffusion to the Extended Tofts Model
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