most citedGenerating 3D Brain Tumor Regions in MRI using Vector-Quantization Generative Adversarial Networks

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2024

Improving Pediatric Low-Grade Neuroepithelial Tumors Molecular Subtype Identification Using a Novel AUROC Loss Function for Convolutional Neural Networks

Khashayar Namdar, Matthias W. Wagner, Cynthia Hawkins +3

Pediatric Low-Grade Neuroepithelial Tumors (PLGNT) are the most common pediatric cancer type, accounting for 40% of brain tumors in children, and identifying PLGNT molecular subtyp…

cs.CV2023★ 2 cited

Generating 3D Brain Tumor Regions in MRI using Vector-Quantization Generative Adversarial Networks

Meng Zhou, Matthias W Wagner, Uri Tabori +3

Medical image analysis has significantly benefited from advancements in deep learning, particularly in the application of Generative Adversarial Networks (GANs) for generating real…