matlab visual r2022a Search Results


matlab computer vision toolbox  (MathWorks Inc)
96
MathWorks Inc matlab computer vision toolbox
Matlab Computer Vision 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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prism 10  (GraphPad Software Inc)
90
GraphPad Software Inc prism 10
Prism 10, supplied by GraphPad Software 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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comsol multiphysics 5.6  (COMSOL Inc)
90
COMSOL Inc comsol multiphysics 5.6
Comsol Multiphysics 5.6, supplied by COMSOL 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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gpu coder  (MathWorks Inc)
93
MathWorks Inc gpu coder
Hardware and software specification for model reproducibility.
Gpu Coder, 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
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statistical analyses and visualizations rstudio team 2021  (RStudio)
90
RStudio statistical analyses and visualizations rstudio team 2021
Hardware and software specification for model reproducibility.
Statistical Analyses And Visualizations Rstudio Team 2021, supplied by RStudio, 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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qualisys qtm  (QUALISYS LIMITED)
90
QUALISYS LIMITED qualisys qtm
Hardware and software specification for model reproducibility.
Qualisys Qtm, supplied by QUALISYS LIMITED, 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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prism 9.0.0.121  (GraphPad Software Inc)
90
GraphPad Software Inc prism 9.0.0.121
Hardware and software specification for model reproducibility.
Prism 9.0.0.121, supplied by GraphPad Software 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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syngo via body perfusion vb10b  (Siemens Healthineers)
86
Siemens Healthineers syngo via body perfusion vb10b
A detailed explanation of the output obtained at each step during development of the noise correction algorithm. ( a ) An arterial input function (AIF) of a digital perfusion phantom (DPP) with zero baseline and temporal sampling rate of 1.5 s, generated by averaging the AIFs from a cohort of 59 pancreatic ductal adenocarcinoma (PDAC) patients. ( b ) An example of the simulated impulse response function (IRF) of a DPP. ( c ) An example of noise-free and noise-added tissue attenuation curves (TACs) for a DPP generated for both tissue types, PDAC and non-neoplastic pancreatic parenchyma. ( d ) An example of TACs from non-neoplastic pancreatic parenchyma and PDAC regions of a PDAC patient for comparison with the simulated TACs. ( e ) An example of an image from the DICOM series of a DPP made up of 16,128 (28 sets of ground-truth values * 576 random noise samples) TACs. The top right corner of the phantom image represents the AIF. ( f ) An example of a blood flow (BF) map obtained from a DPP using commercially available CT perfusion software (syngo.via Body perfusion <t>VB10B,</t> Siemens Healthineers).
Syngo Via Body Perfusion Vb10b, supplied by Siemens Healthineers, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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vmd  (Molecular Dynamics Inc)
86
Molecular Dynamics Inc vmd
A detailed explanation of the output obtained at each step during development of the noise correction algorithm. ( a ) An arterial input function (AIF) of a digital perfusion phantom (DPP) with zero baseline and temporal sampling rate of 1.5 s, generated by averaging the AIFs from a cohort of 59 pancreatic ductal adenocarcinoma (PDAC) patients. ( b ) An example of the simulated impulse response function (IRF) of a DPP. ( c ) An example of noise-free and noise-added tissue attenuation curves (TACs) for a DPP generated for both tissue types, PDAC and non-neoplastic pancreatic parenchyma. ( d ) An example of TACs from non-neoplastic pancreatic parenchyma and PDAC regions of a PDAC patient for comparison with the simulated TACs. ( e ) An example of an image from the DICOM series of a DPP made up of 16,128 (28 sets of ground-truth values * 576 random noise samples) TACs. The top right corner of the phantom image represents the AIF. ( f ) An example of a blood flow (BF) map obtained from a DPP using commercially available CT perfusion software (syngo.via Body perfusion <t>VB10B,</t> Siemens Healthineers).
Vmd, supplied by Molecular Dynamics Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/matlab+visual+r2022a/pm41900045-257-24-26?v=Molecular+Dynamics+Inc
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r studio 12.0  (RStudio)
90
RStudio r studio 12.0
A detailed explanation of the output obtained at each step during development of the noise correction algorithm. ( a ) An arterial input function (AIF) of a digital perfusion phantom (DPP) with zero baseline and temporal sampling rate of 1.5 s, generated by averaging the AIFs from a cohort of 59 pancreatic ductal adenocarcinoma (PDAC) patients. ( b ) An example of the simulated impulse response function (IRF) of a DPP. ( c ) An example of noise-free and noise-added tissue attenuation curves (TACs) for a DPP generated for both tissue types, PDAC and non-neoplastic pancreatic parenchyma. ( d ) An example of TACs from non-neoplastic pancreatic parenchyma and PDAC regions of a PDAC patient for comparison with the simulated TACs. ( e ) An example of an image from the DICOM series of a DPP made up of 16,128 (28 sets of ground-truth values * 576 random noise samples) TACs. The top right corner of the phantom image represents the AIF. ( f ) An example of a blood flow (BF) map obtained from a DPP using commercially available CT perfusion software (syngo.via Body perfusion <t>VB10B,</t> Siemens Healthineers).
R Studio 12.0, supplied by RStudio, 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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machine learning toolbox v12 1  (MathWorks Inc)
96
MathWorks Inc machine learning toolbox v12 1
A detailed explanation of the output obtained at each step during development of the noise correction algorithm. ( a ) An arterial input function (AIF) of a digital perfusion phantom (DPP) with zero baseline and temporal sampling rate of 1.5 s, generated by averaging the AIFs from a cohort of 59 pancreatic ductal adenocarcinoma (PDAC) patients. ( b ) An example of the simulated impulse response function (IRF) of a DPP. ( c ) An example of noise-free and noise-added tissue attenuation curves (TACs) for a DPP generated for both tissue types, PDAC and non-neoplastic pancreatic parenchyma. ( d ) An example of TACs from non-neoplastic pancreatic parenchyma and PDAC regions of a PDAC patient for comparison with the simulated TACs. ( e ) An example of an image from the DICOM series of a DPP made up of 16,128 (28 sets of ground-truth values * 576 random noise samples) TACs. The top right corner of the phantom image represents the AIF. ( f ) An example of a blood flow (BF) map obtained from a DPP using commercially available CT perfusion software (syngo.via Body perfusion <t>VB10B,</t> Siemens Healthineers).
Machine Learning Toolbox V12 1, 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+visual+r2022a/pmc10348482-145-11-16?v=MathWorks+Inc
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machine learning toolbox v12 1 - by Bioz Stars, 2026-07
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prism version 10  (GraphPad Software Inc)
90
GraphPad Software Inc prism version 10
A detailed explanation of the output obtained at each step during development of the noise correction algorithm. ( a ) An arterial input function (AIF) of a digital perfusion phantom (DPP) with zero baseline and temporal sampling rate of 1.5 s, generated by averaging the AIFs from a cohort of 59 pancreatic ductal adenocarcinoma (PDAC) patients. ( b ) An example of the simulated impulse response function (IRF) of a DPP. ( c ) An example of noise-free and noise-added tissue attenuation curves (TACs) for a DPP generated for both tissue types, PDAC and non-neoplastic pancreatic parenchyma. ( d ) An example of TACs from non-neoplastic pancreatic parenchyma and PDAC regions of a PDAC patient for comparison with the simulated TACs. ( e ) An example of an image from the DICOM series of a DPP made up of 16,128 (28 sets of ground-truth values * 576 random noise samples) TACs. The top right corner of the phantom image represents the AIF. ( f ) An example of a blood flow (BF) map obtained from a DPP using commercially available CT perfusion software (syngo.via Body perfusion <t>VB10B,</t> Siemens Healthineers).
Prism Version 10, supplied by GraphPad Software 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/matlab+visual+r2022a/bio_rxiv__2024__02__26__582084-343-8-7?v=GraphPad+Software+Inc
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prism version 10 - by Bioz Stars, 2026-07
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Image Search Results


Hardware and software specification for model reproducibility.

Journal: PLOS Computational Biology

Article Title: Coupling and heterogeneity modulate pacemaking capability in healthy and diseased two-dimensional sinoatrial node tissue models

doi: 10.1371/journal.pcbi.1010098

Figure Lengend Snippet: Hardware and software specification for model reproducibility.

Article Snippet: Simulation , MATLAB R2019b; MATLAB GPU coder , Simulation , MATLAB R2020a; CUDA 8.0; Visual Studio 2015.

Techniques: Software

A detailed explanation of the output obtained at each step during development of the noise correction algorithm. ( a ) An arterial input function (AIF) of a digital perfusion phantom (DPP) with zero baseline and temporal sampling rate of 1.5 s, generated by averaging the AIFs from a cohort of 59 pancreatic ductal adenocarcinoma (PDAC) patients. ( b ) An example of the simulated impulse response function (IRF) of a DPP. ( c ) An example of noise-free and noise-added tissue attenuation curves (TACs) for a DPP generated for both tissue types, PDAC and non-neoplastic pancreatic parenchyma. ( d ) An example of TACs from non-neoplastic pancreatic parenchyma and PDAC regions of a PDAC patient for comparison with the simulated TACs. ( e ) An example of an image from the DICOM series of a DPP made up of 16,128 (28 sets of ground-truth values * 576 random noise samples) TACs. The top right corner of the phantom image represents the AIF. ( f ) An example of a blood flow (BF) map obtained from a DPP using commercially available CT perfusion software (syngo.via Body perfusion VB10B, Siemens Healthineers).

Journal: Scientific Reports

Article Title: Model based noise correction enhances the accuracy of pancreatic CT perfusion blood flow measurements

doi: 10.1038/s41598-025-24482-x

Figure Lengend Snippet: A detailed explanation of the output obtained at each step during development of the noise correction algorithm. ( a ) An arterial input function (AIF) of a digital perfusion phantom (DPP) with zero baseline and temporal sampling rate of 1.5 s, generated by averaging the AIFs from a cohort of 59 pancreatic ductal adenocarcinoma (PDAC) patients. ( b ) An example of the simulated impulse response function (IRF) of a DPP. ( c ) An example of noise-free and noise-added tissue attenuation curves (TACs) for a DPP generated for both tissue types, PDAC and non-neoplastic pancreatic parenchyma. ( d ) An example of TACs from non-neoplastic pancreatic parenchyma and PDAC regions of a PDAC patient for comparison with the simulated TACs. ( e ) An example of an image from the DICOM series of a DPP made up of 16,128 (28 sets of ground-truth values * 576 random noise samples) TACs. The top right corner of the phantom image represents the AIF. ( f ) An example of a blood flow (BF) map obtained from a DPP using commercially available CT perfusion software (syngo.via Body perfusion VB10B, Siemens Healthineers).

Article Snippet: The algorithm was implemented in MATLAB R2022a (MathWorks; USA) and evaluated using a commercially available workstation (syngo.via Body perfusion VB10B; Siemens Healthineers) , .

Techniques: Sampling, Generated, Comparison, Software