Neurology | Oncology | Radiology Structural- and DTI- MRI enable automated prediction of IDH Mutation Status in CNS WHO Grade 2-4 glioma patients: a deep Radiomics Approach. May 3, 2024
Neurology | Radiology Multi-class glioma segmentation on real-world data with missing MRI sequences: comparison of three deep learning algorithms. November 3, 2023
Neurology | Radiology TISS-net: Brain tumor image synthesis and segmentation using cascaded dual-task networks and error-prediction consistency. August 2, 2023
Pathology | Radiology Deep learning for prediction of isocitrate dehydrogenase mutation in gliomas: a critical approach, systematic review and meta-analysis of the diagnostic test performance using a Bayesian approach. August 3, 2022
Neurosurgery | Radiology Segmentation of vestibular schwannoma from MRI, an open annotated dataset and baseline algorithm. October 29, 2021
Neurosurgery | Oncology | Radiology An artificial intelligence framework for automatic segmentation and volumetry of vestibular schwannomas from contrast-enhanced T1-weighted and high-resolution T2-weighted MRI. December 7, 2019