Publications by authors named "R Jomaa"

Article Synopsis
  • The study examines the frequencies of the top 10 Alzheimer's disease risk genes in Mexican Americans (MAs) and non-Hispanic Whites (NHWs) from a community-based cohort.
  • Genetic testing revealed significant differences in allele frequencies for 9 out of 11 genetic variants between the two groups, highlighting possible ethnicity-specific genetic risks for Alzheimer's disease.
  • These findings indicate a need for further research to explore and understand the genetic differences related to Alzheimer's risk across different ethnic populations.
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A timely diagnosis of coronavirus is critical in order to control the spread of the virus. To aid in this, we propose in this paper a deep learning-based approach for detecting coronavirus patients using ultrasound imagery. We propose to exploit the transfer learning of a EfficientNet model pre-trained on the ImageNet dataset for the classification of ultrasound images of suspected patients.

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The steady spread of the 2019 Coronavirus disease has brought about human and economic losses, imposing a new lifestyle across the world. On this point, medical imaging tests such as computed tomography (CT) and X-ray have demonstrated a sound screening potential. Deep learning methodologies have evidenced superior image analysis capabilities with respect to prior handcrafted counterparts.

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Purpose: The goal of our study was to compare the outcomes of transscleral diode cyclophotocoagulation using a new protocol with new settings. In fact, we targeted the ciliary body guided by transillumination, reduced the energy applied at each spot, and enlarged the treatment area posteriorly from the pars plicata to the pars plana.

Patients And Methods: Data were collected retrospectively from two groups of glaucoma patients.

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