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Found 6 papers, 2 papers with code
Domain Adaptation using Silver Standard Masks for Lateral Ventricle Segmentation in FLAIR MRI
Lateral ventricular volume (LVV) is an important biomarker for clinical investigation.
Effect of Intensity Standardization on Deep Learning for WML Segmentation in Multi-Centre FLAIR MRI
Results show IAMLAB and Ensemble provide higher WML segmentation performance compared to models from original data or other normalization methods.
MLP-SRGAN: A Single-Dimension Super Resolution GAN using MLP-Mixer
For images with high resolution (HR) ground truths, peak-signal-to-noise-ratio (PSNR) and structural similarity index (SSIM) are used to measure upsampling performance.
Adapting to Unseen Vendor Domains for MRI Lesion Segmentation
Specifically, we want to evaluate how well these models can create synthetic data points representative of the target dataset through image translation, and to see if a segmentation model trained these synthetic data points would approach the performance of a model trained directly on the target dataset.
FlowReg: Fast Deformable Unsupervised Medical Image Registration using Optical Flow
The photometric loss minimizes pixel intensity differences differences, the smoothness loss encourages similar magnitudes between neighbouring vectors, and a correlation loss that is used to maintain the intensity similarity between fixed and moving image slices.
Siamese Content Loss Networks for Highly Imbalanced Medical Image Segmentation
Automatic segmentation of white matter hyperintensities (WMHs) in magnetic resonance imaging (MRI) remains highly sought after due to the potential to streamline and alleviate clinical workflows.
