Publications by authors named "M Obara"

The 158 bug species that make up the subfamily Triatominae are the potential vectors of Trypanosoma cruzi, the etiological agent of Chagas disease. Despite recent progress in developing a picture-based automated system for identification of triatomines, an extensive and diverse image database is required for a broadly useful automated application for identifying these vectors. We evaluated performance of a deep-learning network (AlexNet) for identifying triatomine species from a database of dorsal images of adult insects.

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Gallery forests harbor mammals and sand flies that may be involved in the transmission of Leishmania spp. parasites. Characterizing the enzootic cycles of Leishmania spp.

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Article Synopsis
  • The study aimed to enhance vessel visibility in MR imaging by adjusting k-space filling techniques and to assess the effectiveness of an AI approach for detecting brain metastases using a method called VISIBLE with compressed sensitivity encoding (CS).
  • Three variations of the VISIBLE sequence (Centric, Reversed Centric, and Startup Echo 30) were tested. While the Reversed Centric method produced fewer false positives, all three showed similar sensitivity and specificity for brain metastasis detection.
  • The findings indicated that modifying k-space filling improves vessel visibility and reduces false positives, while the AI model proved effective in autonomously detecting brain metastases in the MRI scans.
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Article Synopsis
  • Macaques are essential for translational research but differences in brain structure make direct comparisons with humans challenging.
  • Researchers used a hierarchical approach to divide human and macaque brains into multiple regions, noting lower variation in structural connectivity (SC) with level 1 regions.
  • Key findings indicate significant differences in connectivity for regions like the lateral frontal cortex and motor cortex, highlighting areas that can impact the use of macaques in research.
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