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Found 8 papers, 0 papers with code
Noise propagation and MP-PCA image denoising for high-resolution quantitative T2* and magnetic susceptibility mapping (QSM)
Quantitative Susceptibility Mapping (QSM) is a technique for measuring magnetic susceptibility of tissues, aiding in the detection of pathologies like traumatic brain injury and multiple sclerosis by analyzing variations in substances such as iron and calcium.
Contour Dice loss for structures with Fuzzy and Complex Boundaries in Fetal MRI
In this paper, we study the use of the Contour Dice loss for both problems and compare it to other boundary losses and to the combined Dice and Cross-Entropy loss.
Partial annotations for the segmentation of large structures with low annotation cost
We tested the method with the popular soft Dice loss for the fetal body segmentation task in two MRI sequences, TRUFI and FIESTA, and compared full annotation regime to partial annotations with a similar annotation effort.
Automatic fetal fat quantification from MRI
It consists of two steps: 1) model-based semi-automatic fetal fat segmentations, reviewed and corrected by a radiologist; 2) automatic fetal fat segmentation using DL networks trained on the resulting annotated dataset.
BiometryNet: Landmark-based Fetal Biometry Estimation from Standard Ultrasound Planes
Comparison and cross-validation of three different biometric measurements on two independent datasets shows that BiometryNet is robust and yields accurate measurements whose errors are lower than the clinically permissible errors, outperforming other existing automated biometry estimation methods.
Fetal Brain Tissue Annotation and Segmentation Challenge Results
Automatic segmentation of the developing fetal brain is a vital step in the quantitative analysis of prenatal neurodevelopment both in the research and clinical context.
Automatic linear measurements of the fetal brain on MRI with deep neural networks
Fetal MRI is increasingly used for fetal brain assessment.
Compressed sensing for longitudinal MRI: An adaptive-weighted approach
Methods: The proposed approach utilizes the possible similarity of the repeated scans in longitudinal MRI studies.
