Growth prediction technology is not only a practical application but also a crucial approach
that strengthens the safety of image processing techniques. By supplementing the growth …

The landscape of medical imaging, particularly in brain tumor analysis and survival
prediction, necessitates advancements due to the inherent complexities and life-threatening …

Biophysical modeling, particularly involving partial differential equations (PDEs), offers
significant potential for tailoring disease treatment protocols to individual patients. However …

Physical models in the form of partial differential equations serve as important priors for
many under-constrained problems. One such application is tumor treatment planning, which …

We propose a new neural network based method for solving inverse problems for partial
differential equations (PDEs) by formulating the PDE inverse problem as a bilevel …

Cognitive functioning is increasingly considered when making treatment decisions for
patients with a brain tumor in view of a personalized onco-functional balance. Ideally, one …

The development of mathematical models of cancer informed by time-resolved
measurements has enabled personalised predictions of tumour growth and treatment …

Predicting the infiltration of Glioblastoma (GBM) from medical MRI scans is crucial for
understanding tumor growth dynamics and designing personalized radiotherapy treatment …

Automated cervical cancer screening through computer-assisted diagnosis has shown
considerable potential to improve screening accessibility and reduce associated costs and …

We propose and evaluate fitting a multi-species go-or-grow tumor-growth partial differential
equation (PDE) model for glioblastomas to a multi-parametric, single-snapshot magnetic …