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dncnn deep-learning network  (MathWorks Inc)


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    MathWorks Inc dncnn deep-learning network
    Human whole-brain T 2 maps with a 0.85 mm isotropic voxel. ( a ) without denoising, ( b ) with denoising, based on <t>DnCNN</t> model for Gaussian noise removal. Arrows point to the cerebellum region, which especially benefits from denoising. Top row, Sagittal and Coronal planes. Bottom two rows, six slices of the Axial plane, at 10 mm intervals.
    Dncnn Deep Learning Network, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/dncnn deep-learning network/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    dncnn deep-learning network - by Bioz Stars, 2026-03
    90/100 stars

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    1) Product Images from "Phase-based fast 3D high-resolution quantitative T 2 MRI in 7 T human brain imaging"

    Article Title: Phase-based fast 3D high-resolution quantitative T 2 MRI in 7 T human brain imaging

    Journal: Scientific Reports

    doi: 10.1038/s41598-022-17607-z

    Human whole-brain T 2 maps with a 0.85 mm isotropic voxel. ( a ) without denoising, ( b ) with denoising, based on DnCNN model for Gaussian noise removal. Arrows point to the cerebellum region, which especially benefits from denoising. Top row, Sagittal and Coronal planes. Bottom two rows, six slices of the Axial plane, at 10 mm intervals.
    Figure Legend Snippet: Human whole-brain T 2 maps with a 0.85 mm isotropic voxel. ( a ) without denoising, ( b ) with denoising, based on DnCNN model for Gaussian noise removal. Arrows point to the cerebellum region, which especially benefits from denoising. Top row, Sagittal and Coronal planes. Bottom two rows, six slices of the Axial plane, at 10 mm intervals.

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    dncnn deep-learning network  (MathWorks Inc)
    90
    MathWorks Inc dncnn deep-learning network
    Human whole-brain T 2 maps with a 0.85 mm isotropic voxel. ( a ) without denoising, ( b ) with denoising, based on <t>DnCNN</t> model for Gaussian noise removal. Arrows point to the cerebellum region, which especially benefits from denoising. Top row, Sagittal and Coronal planes. Bottom two rows, six slices of the Axial plane, at 10 mm intervals.
    Dncnn Deep Learning Network, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/dncnn deep-learning network/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    dncnn deep-learning network - by Bioz Stars, 2026-03
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Human whole-brain T 2 maps with a 0.85 mm isotropic voxel. ( a ) without denoising, ( b ) with denoising, based on DnCNN model for Gaussian noise removal. Arrows point to the cerebellum region, which especially benefits from denoising. Top row, Sagittal and Coronal planes. Bottom two rows, six slices of the Axial plane, at 10 mm intervals.

    Journal: Scientific Reports

    Article Title: Phase-based fast 3D high-resolution quantitative T 2 MRI in 7 T human brain imaging

    doi: 10.1038/s41598-022-17607-z

    Figure Lengend Snippet: Human whole-brain T 2 maps with a 0.85 mm isotropic voxel. ( a ) without denoising, ( b ) with denoising, based on DnCNN model for Gaussian noise removal. Arrows point to the cerebellum region, which especially benefits from denoising. Top row, Sagittal and Coronal planes. Bottom two rows, six slices of the Axial plane, at 10 mm intervals.

    Article Snippet: To provide even higher robustness following the reduced SNR of the high-resolution datasets, we also incorporated denoising based on a DnCNN deep-learning network (provided in MATLAB, The Mathworks, Natick MA, for Gaussian noise removal).

    Techniques: