Publications by authors named "Mayowa Soneye"

Article Synopsis
  • Machine learning can work well, but it often struggles to make accurate predictions on new data, which is called out-of-sample generalizability.
  • To solve this problem, researchers are using a method called Federated ML that allows computers to share information about how well they're learning without actually sharing the data itself.
  • In a big study with 71 locations around the world, scientists created a model to help detect brain tumors more accurately, showing a significant improvement compared to older methods and hoping to help with rare illnesses and data sharing in healthcare.
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Background: Increased intima-media thickness (IMT) is an established and important surrogate marker for atherosclerosis. Intima-media thickening in the femoral arteries occur earlier and reflect the true extent of generalized atherosclerosis better than in the carotids. Aims: To study the ultrasound-detected morphological changes in the common femoral versus carotid artery wall.

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Background: Intraventricular cerebrospinal fluid (CSF) pulsation artifact can pose a diagnostic problem in fluid-attenuated inversion recovery (FLAIR) brain magnetic resonance images (MRI) appearing as intraventricular hyperintensity. The extent of this challenge among radiologists in Africa using low-field MRI systems is relatively sparsely documented in the literature. The purpose of this study was to identify the presence and frequency of ventricular CSF pulsation artifact (VCSFA) on FLAIR axial brain images with a low-field MR system.

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