Review





Similar Products

pretraining convolutional neural networks (cnns)  (Epigenomics ag)
90
Epigenomics ag pretraining convolutional neural networks (cnns)
Pretraining Convolutional Neural Networks (Cnns), supplied by Epigenomics ag, 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/product/pretrained+neural+networks/pmc10881399__41586_2023_6950_MOESM3_ESM-414-7-41?v=Epigenomics+ag
Average 90 stars, based on 1 article reviews
pretraining convolutional neural networks (cnns) - by Bioz Stars, 2026-06
90/100 stars
  Buy from Supplier
pretrained denoising convolutional neural network (dncnn) approach  (MathWorks Inc)
90
MathWorks Inc pretrained denoising convolutional neural network (dncnn) approach
R 1 mapping results for a single participant. Top right of figure shows the FLAIR image obtained from 3 T MRI and co-registered to FCI image space. Brain maps consist of quantitative maps of R 1 at 0.2 mT (left) and dispersion slope b (right). Maps are shown for each fitting model F1 and S1–S4, with motion correction and <t>denoising</t> applied before fitting. Image contrast contained within R 1 maps can be seen to differentiate between SVD regions (hypointense) and WM and GM regions (hyperintense). Matching histogram distributions of R 1 at 0.2 mT are shown for regions of WMH (black) and WM (red)
Pretrained Denoising Convolutional Neural Network (Dncnn) Approach, 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/product/pretrained+neural+networks/pmc12255585-78-8-17?v=MathWorks+Inc
Average 90 stars, based on 1 article reviews
pretrained denoising convolutional neural network (dncnn) approach - by Bioz Stars, 2026-06
90/100 stars
  Buy from Supplier
pretrained imc nuclei detection convolutional neural network  (Visiopharm AS)
90
Visiopharm AS pretrained imc nuclei detection convolutional neural network
R 1 mapping results for a single participant. Top right of figure shows the FLAIR image obtained from 3 T MRI and co-registered to FCI image space. Brain maps consist of quantitative maps of R 1 at 0.2 mT (left) and dispersion slope b (right). Maps are shown for each fitting model F1 and S1–S4, with motion correction and <t>denoising</t> applied before fitting. Image contrast contained within R 1 maps can be seen to differentiate between SVD regions (hypointense) and WM and GM regions (hyperintense). Matching histogram distributions of R 1 at 0.2 mT are shown for regions of WMH (black) and WM (red)
Pretrained Imc Nuclei Detection Convolutional Neural Network, supplied by Visiopharm AS, 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/product/pretrained+neural+networks/bio_rxiv__2025__01__22__631350-92-13-16?v=Visiopharm+AS
Average 90 stars, based on 1 article reviews
pretrained imc nuclei detection convolutional neural network - by Bioz Stars, 2026-06
90/100 stars
  Buy from Supplier
pretrained neural network  (Nikon)
99
Nikon pretrained neural network
R 1 mapping results for a single participant. Top right of figure shows the FLAIR image obtained from 3 T MRI and co-registered to FCI image space. Brain maps consist of quantitative maps of R 1 at 0.2 mT (left) and dispersion slope b (right). Maps are shown for each fitting model F1 and S1–S4, with motion correction and <t>denoising</t> applied before fitting. Image contrast contained within R 1 maps can be seen to differentiate between SVD regions (hypointense) and WM and GM regions (hyperintense). Matching histogram distributions of R 1 at 0.2 mT are shown for regions of WMH (black) and WM (red)
Pretrained Neural Network, supplied by Nikon, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/pretrained+neural+networks/pmc11633230-326-12-19?v=Nikon
Average 99 stars, based on 1 article reviews
pretrained neural network - by Bioz Stars, 2026-06
99/100 stars
  Buy from Supplier
preferred potential (pfp) pretrained neural network potential (nnp)  (Matlantis)
90
Matlantis preferred potential (pfp) pretrained neural network potential (nnp)
R 1 mapping results for a single participant. Top right of figure shows the FLAIR image obtained from 3 T MRI and co-registered to FCI image space. Brain maps consist of quantitative maps of R 1 at 0.2 mT (left) and dispersion slope b (right). Maps are shown for each fitting model F1 and S1–S4, with motion correction and <t>denoising</t> applied before fitting. Image contrast contained within R 1 maps can be seen to differentiate between SVD regions (hypointense) and WM and GM regions (hyperintense). Matching histogram distributions of R 1 at 0.2 mT are shown for regions of WMH (black) and WM (red)
Preferred Potential (Pfp) Pretrained Neural Network Potential (Nnp), supplied by Matlantis, 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/product/pretrained+neural+networks/10__1007_slash_s10008___024___06086___z-56-6-11?v=Matlantis
Average 90 stars, based on 1 article reviews
preferred potential (pfp) pretrained neural network potential (nnp) - by Bioz Stars, 2026-06
90/100 stars
  Buy from Supplier
pretrained deep neural networks  (MathWorks Inc)
90
MathWorks Inc pretrained deep neural networks
R 1 mapping results for a single participant. Top right of figure shows the FLAIR image obtained from 3 T MRI and co-registered to FCI image space. Brain maps consist of quantitative maps of R 1 at 0.2 mT (left) and dispersion slope b (right). Maps are shown for each fitting model F1 and S1–S4, with motion correction and <t>denoising</t> applied before fitting. Image contrast contained within R 1 maps can be seen to differentiate between SVD regions (hypointense) and WM and GM regions (hyperintense). Matching histogram distributions of R 1 at 0.2 mT are shown for regions of WMH (black) and WM (red)
Pretrained Deep Neural Networks, 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/product/pretrained+neural+networks/pm38868912-287-1-0?v=MathWorks+Inc
Average 90 stars, based on 1 article reviews
pretrained deep neural networks - by Bioz Stars, 2026-06
90/100 stars
  Buy from Supplier
2d and 3d pretrained feature encoders based on convolutional neural networks (cnn) or vision transformer (vit)  (TriPath Inc)
90
TriPath Inc 2d and 3d pretrained feature encoders based on convolutional neural networks (cnn) or vision transformer (vit)
R 1 mapping results for a single participant. Top right of figure shows the FLAIR image obtained from 3 T MRI and co-registered to FCI image space. Brain maps consist of quantitative maps of R 1 at 0.2 mT (left) and dispersion slope b (right). Maps are shown for each fitting model F1 and S1–S4, with motion correction and <t>denoising</t> applied before fitting. Image contrast contained within R 1 maps can be seen to differentiate between SVD regions (hypointense) and WM and GM regions (hyperintense). Matching histogram distributions of R 1 at 0.2 mT are shown for regions of WMH (black) and WM (red)
2d And 3d Pretrained Feature Encoders Based On Convolutional Neural Networks (Cnn) Or Vision Transformer (Vit), supplied by TriPath 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/product/pretrained+neural+networks/pm38729110-1038-8-0?v=TriPath+Inc
Average 90 stars, based on 1 article reviews
2d and 3d pretrained feature encoders based on convolutional neural networks (cnn) or vision transformer (vit) - by Bioz Stars, 2026-06
90/100 stars
  Buy from Supplier
pretrained convolutional neural networks  (MathWorks Inc)
90
MathWorks Inc pretrained convolutional neural networks
R 1 mapping results for a single participant. Top right of figure shows the FLAIR image obtained from 3 T MRI and co-registered to FCI image space. Brain maps consist of quantitative maps of R 1 at 0.2 mT (left) and dispersion slope b (right). Maps are shown for each fitting model F1 and S1–S4, with motion correction and <t>denoising</t> applied before fitting. Image contrast contained within R 1 maps can be seen to differentiate between SVD regions (hypointense) and WM and GM regions (hyperintense). Matching histogram distributions of R 1 at 0.2 mT are shown for regions of WMH (black) and WM (red)
Pretrained Convolutional Neural Networks, 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/product/pretrained+neural+networks/10__2478_slash_pomr___2024___0008-148-0-4?v=MathWorks+Inc
Average 90 stars, based on 1 article reviews
pretrained convolutional neural networks - by Bioz Stars, 2026-06
90/100 stars
  Buy from Supplier

Image Search Results


R 1 mapping results for a single participant. Top right of figure shows the FLAIR image obtained from 3 T MRI and co-registered to FCI image space. Brain maps consist of quantitative maps of R 1 at 0.2 mT (left) and dispersion slope b (right). Maps are shown for each fitting model F1 and S1–S4, with motion correction and denoising applied before fitting. Image contrast contained within R 1 maps can be seen to differentiate between SVD regions (hypointense) and WM and GM regions (hyperintense). Matching histogram distributions of R 1 at 0.2 mT are shown for regions of WMH (black) and WM (red)

Journal: Magma (New York, N.y.)

Article Title: Field-cycling imaging yields repeatable brain R 1 dispersion measurement at fields strengths below 0.2 Tesla with optimal fitting routine

doi: 10.1007/s10334-025-01230-w

Figure Lengend Snippet: R 1 mapping results for a single participant. Top right of figure shows the FLAIR image obtained from 3 T MRI and co-registered to FCI image space. Brain maps consist of quantitative maps of R 1 at 0.2 mT (left) and dispersion slope b (right). Maps are shown for each fitting model F1 and S1–S4, with motion correction and denoising applied before fitting. Image contrast contained within R 1 maps can be seen to differentiate between SVD regions (hypointense) and WM and GM regions (hyperintense). Matching histogram distributions of R 1 at 0.2 mT are shown for regions of WMH (black) and WM (red)

Article Snippet: After motion correction, images were denoised using a pretrained denoising convolutional neural network (dnCNN) approach contained within MATLAB, introduced in R2017b [ ].

Techniques: Dispersion