Publications by authors named "Mia Wessel"
Informing estimates of probability of infection for testing and treatment: expert consensus from a modified-Delphi procedure.
Antimicrob Steward Healthc Epidemiol
October 2024
Background: infection (CDI) may be misdiagnosed if testing is performed in the absence of signs or symptoms of disease. This study sought to support appropriate testing by estimating the impact of signs, symptoms, and healthcare exposures on pre-test likelihood of CDI.
Methods: A panel of fifteen experts in infectious diseases participated in a modified UCLA/RAND Delphi study to estimate likelihood of CDI.
Article Synopsis
- This study focuses on the development of a deep-learning framework to create precise pixelwise strain maps from tagged magnetic resonance imaging (tMRI), important for assessing the mechanical functions of organs like the heart and liver.* -
- The proposed approach uses convolutional neural networks (CNN) and conditional generative adversarial networks (cGAN) to significantly reduce errors compared to traditional methods (HARP), achieving high correlations with ground-truth strain maps in simulation tests.* -
- In-vivo results show that the new method can produce detailed strain maps revealing anatomical and functional characteristics in both healthy individuals and patients with cardiac issues.*