Showing 1,801 - 1,820 results of 21,342 for search '(( significantly ((lower decrease) OR (larger decrease)) ) OR ( significant decrease decrease ))', query time: 0.72s Refine Results
  1. 1801

    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. …”
  2. 1802

    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. …”
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  11. 1811

    Data. by Michael C. Payne (2664379)

    Published 2025
    Subjects:
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  17. 1817

    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. …”
  18. 1818

    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. …”
  19. 1819

    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. …”
  20. 1820

    Student model architecture. 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. …”