pattern recognition for neuroimaging toolbox Search Results


pronto toolbox  (MathWorks Inc)
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Fig. 2. Outline of the schematic workflow of the machine learning process in the <t>PRonTO</t> <t>toolbox.</t> The five analysis modules show the steps that were used in the study. Figure adapted after (Schrouff et al., 2013).
Pronto Toolbox, 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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pattern recognition for neuroimaging (pronto) baggage  (MathWorks Inc)
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Fig. 2. Outline of the schematic workflow of the machine learning process in the <t>PRonTO</t> <t>toolbox.</t> The five analysis modules show the steps that were used in the study. Figure adapted after (Schrouff et al., 2013).
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pronto (pattern recognition for neuroimaging toolbox)  (MathWorks Inc)
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Fig. 2. Outline of the schematic workflow of the machine learning process in the <t>PRonTO</t> <t>toolbox.</t> The five analysis modules show the steps that were used in the study. Figure adapted after (Schrouff et al., 2013).
Pronto (Pattern Recognition For Neuroimaging Toolbox), 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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cosmomvpa toolbox  (MathWorks Inc)
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Fig. 2. Outline of the schematic workflow of the machine learning process in the <t>PRonTO</t> <t>toolbox.</t> The five analysis modules show the steps that were used in the study. Figure adapted after (Schrouff et al., 2013).
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anti-rgs-14(73-170)  (NeuroMab)
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Fig. 2. Outline of the schematic workflow of the machine learning process in the <t>PRonTO</t> <t>toolbox.</t> The five analysis modules show the steps that were used in the study. Figure adapted after (Schrouff et al., 2013).
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neuroimaging  (Neuronetics)
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Fig. 2. Outline of the schematic workflow of the machine learning process in the <t>PRonTO</t> <t>toolbox.</t> The five analysis modules show the steps that were used in the study. Figure adapted after (Schrouff et al., 2013).
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neuroimaging  (Hagemeyer)
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Fig. 2. Outline of the schematic workflow of the machine learning process in the <t>PRonTO</t> <t>toolbox.</t> The five analysis modules show the steps that were used in the study. Figure adapted after (Schrouff et al., 2013).
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neuroimaging protocols  (INCF)
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Fig. 2. Outline of the schematic workflow of the machine learning process in the <t>PRonTO</t> <t>toolbox.</t> The five analysis modules show the steps that were used in the study. Figure adapted after (Schrouff et al., 2013).
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neuroimaging  (SCHOTT)
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Fig. 2. Outline of the schematic workflow of the machine learning process in the <t>PRonTO</t> <t>toolbox.</t> The five analysis modules show the steps that were used in the study. Figure adapted after (Schrouff et al., 2013).
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neuroimaging  (Macquarie Bank)
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Fig. 2. Outline of the schematic workflow of the machine learning process in the <t>PRonTO</t> <t>toolbox.</t> The five analysis modules show the steps that were used in the study. Figure adapted after (Schrouff et al., 2013).
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1.5t siemens avanto mri scanner  (Siemens AG)
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Fig. 2. Outline of the schematic workflow of the machine learning process in the <t>PRonTO</t> <t>toolbox.</t> The five analysis modules show the steps that were used in the study. Figure adapted after (Schrouff et al., 2013).
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Fig. 2. Outline of the schematic workflow of the machine learning process in the <t>PRonTO</t> <t>toolbox.</t> The five analysis modules show the steps that were used in the study. Figure adapted after (Schrouff et al., 2013).
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Image Search Results


Fig. 2. Outline of the schematic workflow of the machine learning process in the PRonTO toolbox. The five analysis modules show the steps that were used in the study. Figure adapted after (Schrouff et al., 2013).

Journal: NeuroImage. Clinical

Article Title: Borderline shades: Morphometric features predict borderline personality traits but not histrionic traits.

doi: 10.1016/j.nicl.2023.103530

Figure Lengend Snippet: Fig. 2. Outline of the schematic workflow of the machine learning process in the PRonTO toolbox. The five analysis modules show the steps that were used in the study. Figure adapted after (Schrouff et al., 2013).

Article Snippet: Kernel Ridge Regression (KRR) was used inside the PRoNTO toolbox (Pattern Recognition for Neuroimaging Toolbox (PRoNTo, n.d)) in Matlab (The MathWorks Inc., 2022).

Techniques: