Münster
Universitätsklinikum Münster
A generative-AI approach to 18F-FET-PET via multimodal MRI fusion of lower-grade glioma patients
Hydrocortisone vs. dexamethasone in the prophylaxis of post-subarachnoid hemorrhage cerebral salt wasting syndrome
Predicting intraoperative 5-ALA fluorescence in diffuse lower-grade glioma using preoperative FET-PET
Towards machine learning-based quantitative hyperspectral image guidance for brain tumor resection
Molekulare Glioblastome – ähnlich und doch verschieden?
Strategic 18F-FET-PET hotspot prediction in multimodal MRI from lower-grade gliomas through deep learning-based tumor segmentation and radiomics feature extraction
Deep learning-based normalization and unmixing of hyperspectral images for brain tumor surgery
Assessment of 5-ALA induced fluorescence in novel exoscopes and their feasibility in glioma surgery
A spectral library and method for sparse unmixing of hyperspectral images in fluorescence guided resection of brain tumors
UNet-Enhanced deep learning-based prediction of intraoperative 5-ALA-Fluorescence via preoperative multimodal MRI in lower-grade gliomas
Evolution of neurosurgical results and survival of patients with newly diagnosed glioblastoma in two decades: Comparison of the results of two prospective, controlled trials on the resection of glioblastoma with comparable inclusion criteria: The 5-ALA and the iMRI vs. 5-ALA trials
Assessing the prognostic potential of MGMT methylation as the primary variable in a machine learning framework for glioblastoma patients, particularly in a limited dataset