Showing 1,621 - 1,640 results of 21,342 for search '(( significantly lower decrease ) OR ( significant decrease decrease ))', query time: 0.35s Refine Results
  1. 1621

    MRI grading systems’ diagnostic accuracy for MD. by Neda Azarpey (20308334)

    Published 2024
    “…<div><p>Background</p><p>The diagnosis of Meniere’s Disease (MD) presents significant challenges due to its complex symptomatology and the absence of definitive biomarkers. …”
  2. 1622

    MRI-based cochlear hydrops grading and PLE in MD. by Neda Azarpey (20308334)

    Published 2024
    “…<div><p>Background</p><p>The diagnosis of Meniere’s Disease (MD) presents significant challenges due to its complex symptomatology and the absence of definitive biomarkers. …”
  3. 1623

    Cochlear hydrops classification in MRI systems. by Neda Azarpey (20308334)

    Published 2024
    “…<div><p>Background</p><p>The diagnosis of Meniere’s Disease (MD) presents significant challenges due to its complex symptomatology and the absence of definitive biomarkers. …”
  4. 1624
  5. 1625
  6. 1626
  7. 1627
  8. 1628
  9. 1629
  10. 1630
  11. 1631
  12. 1632

    Data. by Michael C. Payne (2664379)

    Published 2025
    Subjects:
  13. 1633
  14. 1634
  15. 1635
  16. 1636
  17. 1637
  18. 1638

    S1 File - by Ahmed Akib Jawad Karim (20427740)

    Published 2025
    “…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”
  19. 1639

    Confusion matrix for ClinicalBERT model. by Ahmed Akib Jawad Karim (20427740)

    Published 2025
    “…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”
  20. 1640

    Confusion matrix for LastBERT model. by Ahmed Akib Jawad Karim (20427740)

    Published 2025
    “…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”