research
∙
04/05/2023
FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For Medical Imaging Segmentation
Accurate medical imaging segmentation is critical for precise and effect...
share
research
∙
02/08/2023
A Weighted Normalized Boundary Loss for Reducing the Hausdorff Distance in Medical Imaging Segmentation
Within medical imaging segmentation, the Dice coefficient and Hausdorff-...
research
∙
09/06/2022
Inversion of Time-Lapse Surface Gravity Data for Detection of 3D CO_2 Plumes via Deep Learning
We introduce three algorithms that invert simulated gravity data to 3D s...
research
∙
11/01/2021
Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy
Deep neural networks with multilevel connections process input data in c...
research
∙
04/21/2021
