Showing 1 - 20 results of 1,682 for search '(( brain ((gray decrease) OR (a decrease)) ) OR ( ai ((large decrease) OR (marked decrease)) ))', query time: 0.70s Refine Results
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    Gray matter segmented views of the brain. by Muhammad Zubair (728141)

    Published 2025
    “…The proposed methodology consists of a four-phase process: (1) Whole brain segmentation, (2) Gray matter segmentation using multi-layer U-Net segmentation, (3) Feature extraction using Multi-Scale Efficient Net with SVM for classification, and (4) XAI (explainable AI) techniques by integrating Saliency Map Quantitative Analysis for increased clinical trustworthiness and model interpretability. …”
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    Table 1_Dietary fiber intake and hippocampal gray matter volume: an exploratory cross-sectional study in healthy adults.docx by Raghav Pallapothu (21547964)

    Published 2025
    “…Prior research has found that ADRD is associated with decreases in cortical gray matter volume (GMV) in the hippocampus.…”
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    Data Sheet 1_Changes in voxel-wise gray matter asymmetry over time.pdf by Florian Kurth (350282)

    Published 2025
    “…However, there is no consensus on whether asymmetries become weaker or stronger with age or which brain regions are most affected. Here, we set out to further explore age-related changes in brain asymmetry, with a particular focus on voxel-wise gray matter asymmetry. …”
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    Visual comparison of Brain segmentation results. by Muhammad Zubair (728141)

    Published 2025
    “…The proposed methodology consists of a four-phase process: (1) Whole brain segmentation, (2) Gray matter segmentation using multi-layer U-Net segmentation, (3) Feature extraction using Multi-Scale Efficient Net with SVM for classification, and (4) XAI (explainable AI) techniques by integrating Saliency Map Quantitative Analysis for increased clinical trustworthiness and model interpretability. …”
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    Original 2D MRI views of the brain. by Muhammad Zubair (728141)

    Published 2025
    “…The proposed methodology consists of a four-phase process: (1) Whole brain segmentation, (2) Gray matter segmentation using multi-layer U-Net segmentation, (3) Feature extraction using Multi-Scale Efficient Net with SVM for classification, and (4) XAI (explainable AI) techniques by integrating Saliency Map Quantitative Analysis for increased clinical trustworthiness and model interpretability. …”
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    Table 1_Transcriptional patterns of brain structural abnormalities in CSVD-related cognitive impairment.docx by Haixia Mao (3775582)

    Published 2024
    “…</p>Results<p>VBM analysis demonstrated extensive decreased GMV in CSVD-related cognitive impairment in the bilateral temporal lobe and thalamus, especially the hippocampus, thalamus, parahippocampus, and fusiform, and the left temporal lobe showed a more severe atrophy than the right temporal lobe. …”
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    Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by Rasita Vinay (21006911)

    Published 2025
    “…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …”
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    Claudin V is decreased following infection with Mtb. by Amanda S. Latham (12093638)

    Published 2024
    “…Representative images of the frontal cortex (A–D), cerebral nuclei (F–I), brain stem (K–N), thalamus (P–S), and hippocampus (U–X) 15 days post-infection are shown. …”
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