Neurology | Oncology | Radiology Predicting peritumoral glioblastoma infiltration and subsequent recurrence using deep-learning-based analysis of multi-parametric magnetic resonance imaging. September 2, 2024
Neurology | Radiology Extended nnU-Net for brain metastasis detection and segmentation in contrast-enhanced MRI with a large multi-institutional dataset. July 26, 2024
Neurology | Radiology Synthesizing 3D Multi-Contrast Brain Tumor MRIs Using Tumor Mask Conditioning. May 8, 2024
Neurology | Oncology | Radiology MRI-Based Deep Learning Method for Classification of IDH Mutation Status. September 28, 2023
Neurology | Oncology | Radiology A Pipeline for the Implementation and Visualization of Explainable Machine Learning for Medical Imaging Using Radiomics Features. July 27, 2022
Neurosurgery | Oncology | Radiology Imaging-based stratification of adult gliomas prognosticates survival and correlates with the 2021 WHO classification. July 25, 2022
Neurology | Oncology | Radiology Fully Automated Hybrid Approach to Predict the IDH Mutation Status of Gliomas via Deep Learning and Radiomics. July 24, 2020
Neurology | Oncology | Radiology State of the Art: Machine Learning Applications in Glioma Imaging. December 20, 2018