Robust Myocardial Perfusion MRI Quantification With DeepFermi
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2024.3485233
Abstract: Stress perfusion cardiac magnetic resonance is an important technique for examining and assessing the blood supply of the myocardium. Currently, the majority of clinical perfusion scans are evaluated based on visual assessment by experienced clinicians.… read more here.
Keywords: myocardial perfusion; data outliers; quantification; robust myocardial ... See more keywords
A Novel Tomographic Reconstruction Method Based on the Robust Student's t Function For Suppressing Data Outliers
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2017.2694607
Abstract: Regularized iterative reconstruction methods in computed tomography can be effective when reconstructing from mildly inaccurate undersampled measurements. These approaches will fail, however, when more prominent data errors, or outliers, are present. These outliers are associated… read more here.
Keywords: reconstruction; data outliers; student function; function ... See more keywords
Visualizing Big Data Outliers Through Distributed Aggregation
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2017.2744685
Abstract: Visualizing outliers in massive datasets requires statistical pre-processing in order to reduce the scale of the problem to a size amenable to rendering systems like D3, Plotly or analytic systems like R or SAS. This… read more here.
Keywords: big data; data outliers; outliers distributed; distributed aggregation ... See more keywords