1 code implementation • 27 Apr 2024 • Ray Zirui Zhang, Xiaohui Xie, John S. Lowengrub
At the upper level, we minimize the data loss with respect to the PDE parameters.
1 code implementation • 28 Nov 2023 • Ray Zirui Zhang, Ivan Ezhov, Michal Balcerak, Andy Zhu, Benedikt Wiestler, Bjoern Menze, John S. Lowengrub
This work proposes a method that uses Physics-Informed Neural Networks (PINNs) to estimate patient-specific parameters of a reaction-diffusion PDE model of GBM growth from a single 3D structural MRI snapshot.
1 code implementation • 2 Jul 2018 • Jana Lipkova, Panagiotis Angelikopoulos, Stephen Wu, Esther Alberts, Benedikt Wiestler, Christian Diehl, Christine Preibisch, Thomas Pyka, Stephanie Combs, Panagiotis Hadjidoukas, Koen van Leemput, Petros Koumoutsakos, John S. Lowengrub, Bjoern Menze
Here we provide a Bayesian machine learning framework for the rational design of improved, personalized radiotherapy plans using mathematical modeling and patient multimodal medical scans.
Computational Engineering, Finance, and Science