dncnn matlab Search Results


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MathWorks Inc matlab's pre-trained denoising convolution neural network (dncnn)
Matlab's Pre Trained Denoising Convolution Neural Network (Dncnn), 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
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MathWorks Inc dncnn matlab
Dncnn Matlab, 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 matlab/product/MathWorks Inc
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dncnn matlab - by Bioz Stars, 2026-04
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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, 2026-04
90/100 stars
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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: