1 citations · 1 across the 2 of their papers we have counts for
3 papers
An MRI-informed poromechanical model for organ-scale prediction of glioma growth
Meryem Abbad Andaloussi, Stephane Urcun, David A. Hormuth +5
Gliomas constitute one of the most aggressive and heterogeneous forms of brain tumors, posing major challenges for understanding their biology and developing effective treatments.…
Iterative algorithms for the reconstruction of early states of prostate cancer growth
Elena Beretta, Cecilia Cavaterra, Matteo Fornoni +2
The development of mathematical models of cancer informed by time-resolved measurements has enabled personalised predictions of tumour growth and treatment response. However, frequ…
Mathematical analysis of a model-constrained inverse problem for the reconstruction of early states of prostate cancer growth
Elena Beretta, Cecilia Cavaterra, Matteo Fornoni +2
The availability of cancer measurements over time enables the personalised assessment of tumour growth and therapeutic response dynamics. However, many tumours are treated after di…