Neurology | Neuroradiology | Radiology Deep learning automatic semantic segmentation of glioblastoma multiforme regions on multimodal magnetic resonance images. June 7, 2024
Neurosurgery | Oncology | Radiology Non-invasive prediction of overall survival time for glioblastoma multiforme patients based on multimodal MRI radiomics. March 20, 2024
Neurology | Oncology | Radiology Comparison of MRI radiomics-based machine learning survival models in predicting prognosis of glioblastoma multiforme. December 15, 2023
Neurology | Oncology | Radiology “A net for everyone”: fully personalized and unsupervised neural networks trained with longitudinal data from a single patient. November 1, 2023
Neurology | Oncology | Radiology Survival prediction for patients with glioblastoma multiforme using a Cox proportional hazards denoising autoencoder network. January 27, 2023
Neurology | Oncology | Radiology A Multimodal Knowledge-Based Deep Learning Approach for MGMT Promoter Methylation Identification. December 22, 2022
Neurology | Oncology | Radiology Deep learning characterization of brain tumours with diffusion weighted imaging. November 11, 2022
Bioinformatics | Oncology | Pathology A 3-miRNA Signature Enables Risk Stratification in Glioblastoma Multiforme Patients with Different Clinical Outcomes. June 23, 2022
Neurology | Oncology | Radiology State-of-the-art techniques using pre-operative brain MRI scans for survival prediction of glioblastoma multiforme patients and future research directions. March 9, 2022
Neurology | Oncology | Radiology Extraction of a vascular function for a fully automated dynamic contrast-enhanced magnetic resonance brain image processing pipeline. October 28, 2021
Bioinformatics | Genomics | Oncology Performance Comparison of Deep Learning Autoencoders for Cancer Subtype Detection Using Multi-Omics Data. April 30, 2021
Neurology | Oncology | Radiology A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiforme. May 3, 2019