Automatic Glioblastoma Subregion Segmentation in mpMRI via a Robust Multi-Attention 3D U-Net

This publication has 14 references indexed in Scilit:

• Methods and Models in Mammary Gland Biology and Breast Cancer Research
  Journal of Mammary Gland Biology and Neoplasia, 2025
• Three-dimensional diffractive acoustic tomography
  Nature Communications, 2025
• Deep learning automatic semantic segmentation of glioblastoma multiforme regions on multimodal magnetic resonance images
  International Journal of Computer Assisted Radiology and Surgery, 2024
• Brain Tumor Segmentation in mpMRI Scans (BraTS-2021) Using Models Based on U-Net Architecture
  2022
• Brain tumor detection and patient survival prediction using U‐Net and regression model
  International Journal of Imaging Systems and Technology, 2022
• SwinIR: Image Restoration Using Swin Transformer
  2021
• Longitudinal evaluation for COVID-19 chest CT disease progression based on Tchebichef moments
  International Journal of Imaging Systems and Technology, 2021
• Deep convolution neural networks to differentiate between COVID‐19 and other pulmonary abnormalities on chest radiographs: Evaluation using internal and external datasets
  International Journal of Imaging Systems and Technology, 2021
• U-Net: Convolutional Networks for Biomedical Image Segmentation
  2015
• The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
  IEEE Transactions on Medical Imaging, 2015