Magnetic nanoparticles (MNPs)-induced hyperthermia is capable of heating the tumor
without side effects. In this technique, the tumor temperature is elevated to 41–43° C from a …

Combinatorial techniques have become essential tools across the landscape of
computational science, and some of the combinatorial ideas undergirding these tools are …

PDE-constrained optimization problems find many applications in medical image analysis,
for example, neuroimaging, cardiovascular imaging, and oncologic imaging. We review the …

This paper describes a modeling method of the tissue temperature evolution over time in
hyper or hypothermia. The tissue temperature evolution over time is classically described by …

With this work we release CLAIRE, a distributed-memory implementation of an effective
solver for constrained large deformation diffeomorphic image registration problems in three …

Hyperthermia is an emerging cancer treatment modality, which involves applying heat to the
malignant tumor. The heating can be delivered using electromagnetic (EM) energy, mostly in …

The availability of large-scale computing platforms comprised of tens of thousands of
multicore processors motivates the need for the next generation of highly scalable sparse …

The solution of large sparse linear systems is often the most time-consuming part of many
science and engineering applications. Computational fluid dynamics, circuit simulation …

PDE-constrained optimization problems arise in a broad number of applications such as
hyperthermia cancer treatment and blood flow simulation. Discretization of the optimization …

We present PSPIKE+, as a family of parallel hybrid linear system solvers that are more
robust than other available preconditioned iterative methods, and more scalable than …