3 papers
eess.IV2026
Multi-Stage Prompt-Guided Feature Modulation for Generalizable Brain Tumor Segmentation
Mohammad Mahdi Danesh Pajouh, Sara Saeedi
Accurate brain tumor segmentation from magnetic resonance imaging (MRI) is essential for diagnosis, treatment planning, surgical guidance, and disease monitoring. However, developi…
eess.IV2025
Efficient Meningioma Tumor Segmentation Using Ensemble Learning
Mohammad Mahdi Danesh Pajouh, Sara Saeedi
Meningiomas represent the most prevalent form of primary brain tumors, comprising nearly one-third of all diagnosed cases. Accurate delineation of these tumors from MRI scans is cr…
eess.IV2025
Efficient Brain Tumor Segmentation Using a Dual-Decoder 3D U-Net with Attention Gates (DDUNet)
Mohammad Mahdi Danesh Pajouh
Cancer remains one of the leading causes of mortality worldwide, and among its many forms, brain tumors are particularly notorious due to their aggressive nature and the critical c…