Münster
University Muenster and University Hospital Muenster
Finding the most appropriate MRI sequence to predict IDH mutation status using radiomics-based machine learning
Determining the added value of contrast agents in the radiomics-based classification of astrocytomas using low-dose CT navigation data
Non-invasive classification of astrocytomas using radiomics-based machine learning
Predicting postoperative resection status for meningiomas using machine learning based on clinical features
Machine learning-based prediction of serostatus in autoimmune encephalitis using MRI images of the amygdala
Artificial intelligence-based differentiation of low-grade and high-grade CNS gliomas
Detection of antibodies in patients with autoimmune encephalitis using machine learning based on MRI images of the hippocampus