matlab toolboxes spm5 Search Results


96
MathWorks Inc 2014b
Processing features of fully automated toolboxes
2014b, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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SourceForge net marsbar toolbox for spm5
Processing features of fully automated toolboxes
Marsbar Toolbox For Spm5, supplied by SourceForge net, 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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96
MathWorks Inc statistical parametric mapping spm5
Processing features of fully automated toolboxes
Statistical Parametric Mapping Spm5, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/matlab+toolboxes+spm5/Mapping+Toolbox/bio_rxiv__2025__02__13__638144-234-16-24
Average 96 stars, based on 1 article reviews
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MathWorks Inc perfusion data
Processing features of fully automated toolboxes
Perfusion Data, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/matlab+toolboxes+spm5/Database+Toolbox/pm21181786-148-6-29
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93
MathWorks Inc matlab the mathworks inc
Processing features of fully automated toolboxes
Matlab The Mathworks Inc, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/matlab+toolboxes+spm5/MATLAB+Grader/pm22235032-101-16-18
Average 93 stars, based on 1 article reviews
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96
MathWorks Inc image preprocessing
Processing features of fully automated toolboxes
Image Preprocessing, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/matlab+toolboxes+spm5/Image+Processing+Toolbox/10__1523_slash_jneurosci__3592___08__2008-84-1-8
Average 96 stars, based on 1 article reviews
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98
MathWorks Inc statistical parametric mapping spm5 software package
Processing features of fully automated toolboxes
Statistical Parametric Mapping Spm5 Software Package, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 98/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/matlab+toolboxes+spm5/Signal+Processing+Toolbox/pmc03331724-73-5-23
Average 98 stars, based on 1 article reviews
statistical parametric mapping spm5 software package - by Bioz Stars, 2026-09
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90
SourceForge net marsbar toolbox
Processing features of fully automated toolboxes
Marsbar Toolbox, supplied by SourceForge net, 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/matlab+toolboxes+spm5/marsbar+toolbox/pmc04253678-120-27-30
Average 90 stars, based on 1 article reviews
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SourceForge net ica of fmri toolbox (gift) software v2.0 c
The similarity between the independent components identified in each of the 100 iterations of the <t>group</t> <t>ICA</t> for both the low-(A) and high-dimensional (B) runs. Points represent individual runs, grey convex hulls represent a cluster of the same independent component (labeled with component number), cyan circles represent the best estimate of the independent component (centrotype), red shading indicates average intra-cluster similarity exceeds 0.9, and pink shading indicates average intra-cluster similarity is between 0.8 and 0.9. If intra-cluster similarity is bellow 0.9, red lines are drawn between runs that have similarity greater than 0.9. Compact clusters are indicative of high run-to-run similarity in the ICA solution for that component. 2D-two dimensional, CCA-curvilinear component analysis, ICA-independent component analysis.
Ica Of Fmri Toolbox (Gift) Software V2.0 C, supplied by SourceForge net, 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/matlab+toolboxes+spm5/ica+of+fmri+toolbox/pmc03386248-136-52-62
Average 90 stars, based on 1 article reviews
ica of fmri toolbox (gift) software v2.0 c - by Bioz Stars, 2026-09
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90
Siemens AG syngo mr b17
The similarity between the independent components identified in each of the 100 iterations of the <t>group</t> <t>ICA</t> for both the low-(A) and high-dimensional (B) runs. Points represent individual runs, grey convex hulls represent a cluster of the same independent component (labeled with component number), cyan circles represent the best estimate of the independent component (centrotype), red shading indicates average intra-cluster similarity exceeds 0.9, and pink shading indicates average intra-cluster similarity is between 0.8 and 0.9. If intra-cluster similarity is bellow 0.9, red lines are drawn between runs that have similarity greater than 0.9. Compact clusters are indicative of high run-to-run similarity in the ICA solution for that component. 2D-two dimensional, CCA-curvilinear component analysis, ICA-independent component analysis.
Syngo Mr B17, supplied by Siemens 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/matlab+toolboxes+spm5/syngo+mr+b15+software/pmc06689065__41467_2019_11527_MOESM3_ESM-9-8-12
Average 90 stars, based on 1 article reviews
syngo mr b17 - by Bioz Stars, 2026-09
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Image Search Results


Processing features of fully automated toolboxes

Journal: Human Brain Mapping

Article Title: A comparison of automated lesion segmentation approaches for chronic stroke T1‐weighted MRI data

doi: 10.1002/hbm.24729

Figure Lengend Snippet: Processing features of fully automated toolboxes

Article Snippet: Platform dependencies , MATLAB, SPM5+ , MATLAB 2014b+ (requires statistics and machine learning toolbox), SPM12+ , R v.3.0+, ANTsR package.

Techniques:

The similarity between the independent components identified in each of the 100 iterations of the group ICA for both the low-(A) and high-dimensional (B) runs. Points represent individual runs, grey convex hulls represent a cluster of the same independent component (labeled with component number), cyan circles represent the best estimate of the independent component (centrotype), red shading indicates average intra-cluster similarity exceeds 0.9, and pink shading indicates average intra-cluster similarity is between 0.8 and 0.9. If intra-cluster similarity is bellow 0.9, red lines are drawn between runs that have similarity greater than 0.9. Compact clusters are indicative of high run-to-run similarity in the ICA solution for that component. 2D-two dimensional, CCA-curvilinear component analysis, ICA-independent component analysis.

Journal: PLoS ONE

Article Title: Non-Stationarity in the “Resting Brain’s” Modular Architecture

doi: 10.1371/journal.pone.0039731

Figure Lengend Snippet: The similarity between the independent components identified in each of the 100 iterations of the group ICA for both the low-(A) and high-dimensional (B) runs. Points represent individual runs, grey convex hulls represent a cluster of the same independent component (labeled with component number), cyan circles represent the best estimate of the independent component (centrotype), red shading indicates average intra-cluster similarity exceeds 0.9, and pink shading indicates average intra-cluster similarity is between 0.8 and 0.9. If intra-cluster similarity is bellow 0.9, red lines are drawn between runs that have similarity greater than 0.9. Compact clusters are indicative of high run-to-run similarity in the ICA solution for that component. 2D-two dimensional, CCA-curvilinear component analysis, ICA-independent component analysis.

Article Snippet: Preprocessing and data analysis was performed utilizing a combination of the Statistical Parametric Mapping (SPM5) software ( http://www.fil.ion.ucl.ac.uk/spm/software/spm5/ ) (Wellcome Department of Cognitive Neurology, University College London, UK), the Resting-State fMRI Data Analysis Toolkit (REST) v1.5 ( http://www.restfmri.net ) , Data Processing Assistant for Resting-State fMRI (DPARSF) v2.0 ( http://www.restfmri.net ) , group ICA of fMRI toolbox (GIFT) software v2.0 c ( http://icatb.sourceforge.net ) , brain connectivity toolbox ( http://www.brain-connectivity-toolbox.net ) , and in-house developed software implemented in MATLAB v7.11 (Mathworks Inc., Natick, MA, USA).

Techniques: Labeling