Search Results for author: Diana Waldmannstetter

Found 4 papers, 1 papers with code

Learn-Morph-Infer: a new way of solving the inverse problem for brain tumor modeling

1 code implementation7 Nov 2021 Ivan Ezhov, Kevin Scibilia, Katharina Franitza, Felix Steinbauer, Suprosanna Shit, Lucas Zimmer, Jana Lipkova, Florian Kofler, Johannes Paetzold, Luca Canalini, Diana Waldmannstetter, Martin Menten, Marie Metz, Benedikt Wiestler, Bjoern Menze

Current treatment planning of patients diagnosed with a brain tumor, such as glioma, could significantly benefit by accessing the spatial distribution of tumor cell concentration.

Deep Reinforcement Learning for Organ Localization in CT

no code implementations MIDL 2019 Fernando Navarro, Anjany Sekuboyina, Diana Waldmannstetter, Jan C. Peeken, Stephanie E. Combs, Bjoern H. Menze

Robust localization of organs in computed tomography scans is a constant pre-processing requirement for organ-specific image retrieval, radiotherapy planning, and interventional image analysis.

Image Retrieval reinforcement-learning +1

Cannot find the paper you are looking for? You can Submit a new open access paper.