3-mm gaussian kernel Search Results


90
MathWorks Inc 3-mm gaussian kernel
Subtracted ASL signal at seven postlabeling delay time points for 10 slices. The top part shows the angiographic phases and the bottom part shows the perfusion phase, which was smoothed post hoc using a <t>Gaussian</t> filter in MATLAB
3 Mm Gaussian Kernel, 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 3mm fwhm gaussian kernel
Subtracted ASL signal at seven postlabeling delay time points for 10 slices. The top part shows the angiographic phases and the bottom part shows the perfusion phase, which was smoothed post hoc using a <t>Gaussian</t> filter in MATLAB
3mm Fwhm Gaussian Kernel, 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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Average 90 stars, based on 1 article reviews
3mm fwhm gaussian kernel - by Bioz Stars, 2026-03
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90
Millipore gaussian kernel
Subtracted ASL signal at seven postlabeling delay time points for 10 slices. The top part shows the angiographic phases and the bottom part shows the perfusion phase, which was smoothed post hoc using a <t>Gaussian</t> filter in MATLAB
Gaussian Kernel, supplied by Millipore, 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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Average 90 stars, based on 1 article reviews
gaussian kernel - by Bioz Stars, 2026-03
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90
MathWorks Inc watershed algorithm
Subtracted ASL signal at seven postlabeling delay time points for 10 slices. The top part shows the angiographic phases and the bottom part shows the perfusion phase, which was smoothed post hoc using a <t>Gaussian</t> filter in MATLAB
Watershed Algorithm, 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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Average 90 stars, based on 1 article reviews
watershed algorithm - by Bioz Stars, 2026-03
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Siemens AG siemens hrrt
Subtracted ASL signal at seven postlabeling delay time points for 10 slices. The top part shows the angiographic phases and the bottom part shows the perfusion phase, which was smoothed post hoc using a <t>Gaussian</t> filter in MATLAB
Siemens Hrrt, 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
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Average 90 stars, based on 1 article reviews
siemens hrrt - by Bioz Stars, 2026-03
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90
PMOD Technologies pmod version 3.4
Subtracted ASL signal at seven postlabeling delay time points for 10 slices. The top part shows the angiographic phases and the bottom part shows the perfusion phase, which was smoothed post hoc using a <t>Gaussian</t> filter in MATLAB
Pmod Version 3.4, supplied by PMOD Technologies, 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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Average 90 stars, based on 1 article reviews
pmod version 3.4 - by Bioz Stars, 2026-03
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MathWorks Inc matlab 2016
Subtracted ASL signal at seven postlabeling delay time points for 10 slices. The top part shows the angiographic phases and the bottom part shows the perfusion phase, which was smoothed post hoc using a <t>Gaussian</t> filter in MATLAB
Matlab 2016, 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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Average 90 stars, based on 1 article reviews
matlab 2016 - by Bioz Stars, 2026-03
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90
PMOD Technologies pmod software package
Subtracted ASL signal at seven postlabeling delay time points for 10 slices. The top part shows the angiographic phases and the bottom part shows the perfusion phase, which was smoothed post hoc using a <t>Gaussian</t> filter in MATLAB
Pmod Software Package, supplied by PMOD Technologies, 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/pmod software package/product/PMOD Technologies
Average 90 stars, based on 1 article reviews
pmod software package - by Bioz Stars, 2026-03
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MathWorks Inc matlab-based software
Subtracted ASL signal at seven postlabeling delay time points for 10 slices. The top part shows the angiographic phases and the bottom part shows the perfusion phase, which was smoothed post hoc using a <t>Gaussian</t> filter in MATLAB
Matlab Based Software, 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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Philips Healthcare 3.0 t dataset
In (A) and (B), the DMNs obtained with different initial seed regions of interest (ROIs) using sCCA (A) and siCCA (B) are displayed in two axial slices ( z = +30 and −27 for the Philips 3.0 T dataset; z = +30 and −21 for the Siemens 1.5 T dataset). The siCCA-derived DMNs are shown in additional axial slices in (C). White arrows and asterisks indicate the regions with different peak locations (PHG, temporal poles and thalamus) and distinct regions (a ACC/caudate/thalamus cluster for Philips 3.0 T and bilateral middle OFC for Siemens 1.5 T) in the two datasets respectively. The VBS net index depicting the similarity among the DMNs obtained with different initial seed regions of interest was plotted in (D). The abscissa label in (D) describes the initial seed ROIs being compared. The similarity between the siCCA-derived DMN and the sCCA-derived DMNs with different initial seed ROIs was evaluated in (E). Please refer to the Selection of Initial seed ROIs section for definitions of the abbreviations for the seed ROIs.
3.0 T Dataset, supplied by Philips Healthcare, 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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3.0 t dataset - by Bioz Stars, 2026-03
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90
MathWorks Inc spm12
In (A) and (B), the DMNs obtained with different initial seed regions of interest (ROIs) using sCCA (A) and siCCA (B) are displayed in two axial slices ( z = +30 and −27 for the Philips 3.0 T dataset; z = +30 and −21 for the Siemens 1.5 T dataset). The siCCA-derived DMNs are shown in additional axial slices in (C). White arrows and asterisks indicate the regions with different peak locations (PHG, temporal poles and thalamus) and distinct regions (a ACC/caudate/thalamus cluster for Philips 3.0 T and bilateral middle OFC for Siemens 1.5 T) in the two datasets respectively. The VBS net index depicting the similarity among the DMNs obtained with different initial seed regions of interest was plotted in (D). The abscissa label in (D) describes the initial seed ROIs being compared. The similarity between the siCCA-derived DMN and the sCCA-derived DMNs with different initial seed ROIs was evaluated in (E). Please refer to the Selection of Initial seed ROIs section for definitions of the abbreviations for the seed ROIs.
Spm12, 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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Average 90 stars, based on 1 article reviews
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Siemens Healthineers e7tools
In (A) and (B), the DMNs obtained with different initial seed regions of interest (ROIs) using sCCA (A) and siCCA (B) are displayed in two axial slices ( z = +30 and −27 for the Philips 3.0 T dataset; z = +30 and −21 for the Siemens 1.5 T dataset). The siCCA-derived DMNs are shown in additional axial slices in (C). White arrows and asterisks indicate the regions with different peak locations (PHG, temporal poles and thalamus) and distinct regions (a ACC/caudate/thalamus cluster for Philips 3.0 T and bilateral middle OFC for Siemens 1.5 T) in the two datasets respectively. The VBS net index depicting the similarity among the DMNs obtained with different initial seed regions of interest was plotted in (D). The abscissa label in (D) describes the initial seed ROIs being compared. The similarity between the siCCA-derived DMN and the sCCA-derived DMNs with different initial seed ROIs was evaluated in (E). Please refer to the Selection of Initial seed ROIs section for definitions of the abbreviations for the seed ROIs.
E7tools, supplied by Siemens Healthineers, 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/e7tools/product/Siemens Healthineers
Average 90 stars, based on 1 article reviews
e7tools - by Bioz Stars, 2026-03
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Image Search Results


Subtracted ASL signal at seven postlabeling delay time points for 10 slices. The top part shows the angiographic phases and the bottom part shows the perfusion phase, which was smoothed post hoc using a Gaussian filter in MATLAB

Journal: Nmr in Biomedicine

Article Title: Time‐encoded golden angle radial arterial spin labeling: Simultaneous acquisition of angiography and perfusion data

doi: 10.1002/nbm.4519

Figure Lengend Snippet: Subtracted ASL signal at seven postlabeling delay time points for 10 slices. The top part shows the angiographic phases and the bottom part shows the perfusion phase, which was smoothed post hoc using a Gaussian filter in MATLAB

Article Snippet: Perfusion images were smoothed post hoc with a 3‐mm Gaussian kernel in MATLAB R2019B.

Techniques:

In (A) and (B), the DMNs obtained with different initial seed regions of interest (ROIs) using sCCA (A) and siCCA (B) are displayed in two axial slices ( z = +30 and −27 for the Philips 3.0 T dataset; z = +30 and −21 for the Siemens 1.5 T dataset). The siCCA-derived DMNs are shown in additional axial slices in (C). White arrows and asterisks indicate the regions with different peak locations (PHG, temporal poles and thalamus) and distinct regions (a ACC/caudate/thalamus cluster for Philips 3.0 T and bilateral middle OFC for Siemens 1.5 T) in the two datasets respectively. The VBS net index depicting the similarity among the DMNs obtained with different initial seed regions of interest was plotted in (D). The abscissa label in (D) describes the initial seed ROIs being compared. The similarity between the siCCA-derived DMN and the sCCA-derived DMNs with different initial seed ROIs was evaluated in (E). Please refer to the Selection of Initial seed ROIs section for definitions of the abbreviations for the seed ROIs.

Journal: PLoS ONE

Article Title: Iterative Cross-Correlation Analysis of Resting State Functional Magnetic Resonance Imaging Data

doi: 10.1371/journal.pone.0058653

Figure Lengend Snippet: In (A) and (B), the DMNs obtained with different initial seed regions of interest (ROIs) using sCCA (A) and siCCA (B) are displayed in two axial slices ( z = +30 and −27 for the Philips 3.0 T dataset; z = +30 and −21 for the Siemens 1.5 T dataset). The siCCA-derived DMNs are shown in additional axial slices in (C). White arrows and asterisks indicate the regions with different peak locations (PHG, temporal poles and thalamus) and distinct regions (a ACC/caudate/thalamus cluster for Philips 3.0 T and bilateral middle OFC for Siemens 1.5 T) in the two datasets respectively. The VBS net index depicting the similarity among the DMNs obtained with different initial seed regions of interest was plotted in (D). The abscissa label in (D) describes the initial seed ROIs being compared. The similarity between the siCCA-derived DMN and the sCCA-derived DMNs with different initial seed ROIs was evaluated in (E). Please refer to the Selection of Initial seed ROIs section for definitions of the abbreviations for the seed ROIs.

Article Snippet: The remaining volumes (i.e., 210 for Philips 3.0 T dataset and 170 for Siemens 1.5 T dataset) were put into subsequent processing procedures, including slice timing and head motion corrections, spatial normalization to the standard Montreal Neurological Institute (MNI) space (i.e., all data resampled to a voxel size of 3 mm×3 mm×3 mm), spatial smoothing with a 6-mm full width at half maximum (FWHM) isotropic Gaussian kernel, removal of linear drift and temporal band-pass filtering (0.01–0.08 Hz).

Techniques: Derivative Assay, Selection