[HTML][HTML] MGA-Net: A novel mask-guided attention neural network for precision neonatal brain imaging
In this study, we introduce MGA-Net, a novel mask-guided attention neural network, which
extends the U-net model for precision neonatal brain imaging. MGA-Net is designed to …
extends the U-net model for precision neonatal brain imaging. MGA-Net is designed to …
Thalamic volume in very preterm infants: associations with severe brain injury and neurodevelopmental outcome at two years
Introduction Several studies demonstrate the relationship between preterm birth and a
reduced thalamus volume at term-equivalent age. In contrast, this study aims to investigate …
reduced thalamus volume at term-equivalent age. In contrast, this study aims to investigate …
Enhanced Spatial Fuzzy C-Means Algorithm for Brain Tissue Segmentation in T1 Images
B Jafrasteh, M Lubián-Gutiérrez, SP Lubián-López… - Neuroinformatics, 2024 - Springer
Abstract Magnetic Resonance Imaging (MRI) plays an important role in neurology,
particularly in the precise segmentation of brain tissues. Accurate segmentation is crucial for …
particularly in the precise segmentation of brain tissues. Accurate segmentation is crucial for …
Mask-Guided Attention U-Net for Enhanced Neonatal Brain Extraction and Image Preprocessing
In this study, we introduce MGA-Net, a novel mask-guided attention neural network, which
extends the U-net model for precision neonatal brain imaging. MGA-Net is designed to …
extends the U-net model for precision neonatal brain imaging. MGA-Net is designed to …