k-means clustering (matlab, version 7.0) Search Results


open bci  (OpenBCI Inc)
90
OpenBCI Inc open bci
Open Bci, supplied by OpenBCI 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/k-means+clustering+(matlab%2C+version+7%2E0)/open+bci/10__3390_slash_electronics9122092-142-6-29
Average 90 stars, based on 1 article reviews
open bci - by Bioz Stars, 2026-10
90/100 stars
  Buy from Supplier
mammaprint ® 70-gene signature  (Agendia BV)
90
Agendia BV mammaprint ® 70-gene signature
Mammaprint ® 70 Gene Signature, supplied by Agendia BV, 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/k-means+clustering+(matlab%2C+version+7%2E0)/70+gene+signature+mammaprint/pmc03176328-254-9-13
Average 90 stars, based on 1 article reviews
mammaprint ® 70-gene signature - by Bioz Stars, 2026-10
90/100 stars
  Buy from Supplier
ann model neurosolution version 7.0  (NeuroDimension Inc)
90
NeuroDimension Inc ann model neurosolution version 7.0
Ann Model Neurosolution Version 7.0, supplied by NeuroDimension 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/k-means+clustering+(matlab%2C+version+7%2E0)/ann+model+neurosolution+version+7+0/pmc09826019-129-1-6
Average 90 stars, based on 1 article reviews
ann model neurosolution version 7.0 - by Bioz Stars, 2026-10
90/100 stars
  Buy from Supplier
kmeans clustering  (RStudio)
90
RStudio kmeans clustering
Kmeans Clustering, 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
https://www.bioz.com/product/k-means+clustering+(matlab%2C+version+7%2E0)/k+means+clustering/pmc11160686__media___1-24-10-13
Average 90 stars, based on 1 article reviews
kmeans clustering - by Bioz Stars, 2026-10
90/100 stars
  Buy from Supplier
alexnet (feature extraction)  (SoftMax Inc)
90
SoftMax Inc alexnet (feature extraction)
<t>AlexNet</t> Architecture used for COVID-19 classification .
Alexnet (Feature Extraction), supplied by SoftMax 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/k-means+clustering+(matlab%2C+version+7%2E0)/alexnet/pmc09597575-2-46-50
Average 90 stars, based on 1 article reviews
alexnet (feature extraction) - by Bioz Stars, 2026-10
90/100 stars
  Buy from Supplier
g pr  (Veris Technologies Inc)
86
Veris Technologies Inc g pr
<t>AlexNet</t> Architecture used for COVID-19 classification .
G Pr, supplied by Veris Technologies 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/k-means+clustering+(matlab%2C+version+7%2E0)/g+pr/gutierrez_miguel_felipe_vargas__2017__delimitation_de_zones_d_amenagement_a_l_aide_de_capteurs_proximaux_du_sol_dans_deux_champs-43-122-65
Average 86 stars, based on 1 article reviews
g pr - by Bioz Stars, 2026-10
86/100 stars
  Buy from Supplier
machine learning toolbox version  (MathWorks Inc)
96
MathWorks Inc machine learning toolbox version
<t>AlexNet</t> Architecture used for COVID-19 classification .
Machine Learning Toolbox Version, 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/k-means+clustering+(matlab%2C+version+7%2E0)/Control+System+Toolbox/pm40415032-214-31-35
Average 96 stars, based on 1 article reviews
machine learning toolbox version - by Bioz Stars, 2026-10
96/100 stars
  Buy from Supplier
siemens trio 3t  (Siemens AG)
90
Siemens AG siemens trio 3t
Summary of studies assessing time-varying resting state functional connectivity in healthy subjects and simulated data.
Siemens Trio 3t, 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/k-means+clustering+(matlab%2C+version+7%2E0)/32+channel+head+coil/pmc06636554-53-6-6
Average 90 stars, based on 1 article reviews
siemens trio 3t - by Bioz Stars, 2026-10
90/100 stars
  Buy from Supplier
nextgen ant 50  (NextGen Sciences)
90
NextGen Sciences nextgen ant 50
Summary of studies assessing time-varying resting state functional connectivity in healthy subjects and simulated data.
Nextgen Ant 50, supplied by NextGen Sciences, 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/k-means+clustering+(matlab%2C+version+7%2E0)/nextgen+ran+a+120/10__1111_slash_syen__12228-155-20-22
Average 90 stars, based on 1 article reviews
nextgen ant 50 - by Bioz Stars, 2026-10
90/100 stars
  Buy from Supplier

Image Search Results


AlexNet Architecture used for COVID-19 classification .

Journal: Ipem-Translation

Article Title: Towards smart diagnostic methods for COVID-19: Review of deep learning for medical imaging

doi: 10.1016/j.ipemt.2022.100008

Figure Lengend Snippet: AlexNet Architecture used for COVID-19 classification .

Article Snippet: , X-ray , Combination of Two Different DBs , 105 COVID-19, 11 SARS, 80 Normal Img. , 70%:30% , Hold-out , ImageNet , Supervised , Data Augmentation, Histogram, Feature Extraction using AlexNet, PCA, K-means , COVID-19 from Other Pneumonia , NA , DeTraC (Based on ResNet18), AlexNet (Feature Extraction) , Softmax , Composition Phase , Acc=95.12, Sen=97.91, Spe=91.87.

Techniques:

A combined architecture of AlexNet, SqueezeNet, GoogleNet, and MobileNetV2 for COVID-19 detection .

Journal: Ipem-Translation

Article Title: Towards smart diagnostic methods for COVID-19: Review of deep learning for medical imaging

doi: 10.1016/j.ipemt.2022.100008

Figure Lengend Snippet: A combined architecture of AlexNet, SqueezeNet, GoogleNet, and MobileNetV2 for COVID-19 detection .

Article Snippet: , X-ray , Combination of Two Different DBs , 105 COVID-19, 11 SARS, 80 Normal Img. , 70%:30% , Hold-out , ImageNet , Supervised , Data Augmentation, Histogram, Feature Extraction using AlexNet, PCA, K-means , COVID-19 from Other Pneumonia , NA , DeTraC (Based on ResNet18), AlexNet (Feature Extraction) , Softmax , Composition Phase , Acc=95.12, Sen=97.91, Spe=91.87.

Techniques:

Summary of recent DL techniques for COVID-19 diagnosis.

Journal: Ipem-Translation

Article Title: Towards smart diagnostic methods for COVID-19: Review of deep learning for medical imaging

doi: 10.1016/j.ipemt.2022.100008

Figure Lengend Snippet: Summary of recent DL techniques for COVID-19 diagnosis.

Article Snippet: , X-ray , Combination of Two Different DBs , 105 COVID-19, 11 SARS, 80 Normal Img. , 70%:30% , Hold-out , ImageNet , Supervised , Data Augmentation, Histogram, Feature Extraction using AlexNet, PCA, K-means , COVID-19 from Other Pneumonia , NA , DeTraC (Based on ResNet18), AlexNet (Feature Extraction) , Softmax , Composition Phase , Acc=95.12, Sen=97.91, Spe=91.87.

Techniques: Biomarker Discovery, Extraction, Activation Assay, Bacteria, Preserving, Shear, Infection, Sampling, Blocking Assay

Summary of studies assessing time-varying resting state functional connectivity in healthy subjects and simulated data.

Journal: Frontiers in Neuroscience

Article Title: Characterizing Rapid Fluctuations of Resting State Functional Connectivity in Demyelinating, Neurodegenerative, and Psychiatric Conditions: From Static to Time-Varying Analysis

doi: 10.3389/fnins.2019.00618

Figure Lengend Snippet: Summary of studies assessing time-varying resting state functional connectivity in healthy subjects and simulated data.

Article Snippet: Mennigen et al. ( ) , Siemens Trio 3T 170 volumes TR = 2 s , 1. Group ICA decomposition in 47 relevant independent components of interest, classified into eight functional networks 2. Sliding-window analysis, window length = 22 TRs (44 s), steps = 1 TR (2 s) 3. k-means clustering (five recurring states). Fuzzy meta-state analysis , 53 patients with clinical high-risk for psychosis 21 females (39.6%) mean age = 20.4 years SD = 4.5 years 58 schizophrenia patients 20 females (34.5%) mean age = 21.8 years SD = 3.8 years 70 healthy controls 41 females (58.6%) mean age = 21.9 years SD = 5.6 years , - Compared to healthy subjects, schizophrenia patients showed significantly lower global meta-state dynamism - Compared to healthy controls, patients with high-risk for psychosis showed significantly lower meta-state dynamism.

Techniques: Functional Assay, Control, Derivative Assay, Imaging, Activity Assay, Sequencing

Summary of studies assessing time-varying resting state functional connectivity modifications in multiple sclerosis (MS).

Journal: Frontiers in Neuroscience

Article Title: Characterizing Rapid Fluctuations of Resting State Functional Connectivity in Demyelinating, Neurodegenerative, and Psychiatric Conditions: From Static to Time-Varying Analysis

doi: 10.3389/fnins.2019.00618

Figure Lengend Snippet: Summary of studies assessing time-varying resting state functional connectivity modifications in multiple sclerosis (MS).

Article Snippet: Mennigen et al. ( ) , Siemens Trio 3T 170 volumes TR = 2 s , 1. Group ICA decomposition in 47 relevant independent components of interest, classified into eight functional networks 2. Sliding-window analysis, window length = 22 TRs (44 s), steps = 1 TR (2 s) 3. k-means clustering (five recurring states). Fuzzy meta-state analysis , 53 patients with clinical high-risk for psychosis 21 females (39.6%) mean age = 20.4 years SD = 4.5 years 58 schizophrenia patients 20 females (34.5%) mean age = 21.8 years SD = 3.8 years 70 healthy controls 41 females (58.6%) mean age = 21.9 years SD = 5.6 years , - Compared to healthy subjects, schizophrenia patients showed significantly lower global meta-state dynamism - Compared to healthy controls, patients with high-risk for psychosis showed significantly lower meta-state dynamism.

Techniques: Functional Assay, Selection, Comparison

Summary of studies assessing time-varying resting state functional connectivity modifications in different psychiatric and neurological pathologies (excluding multiple sclerosis).

Journal: Frontiers in Neuroscience

Article Title: Characterizing Rapid Fluctuations of Resting State Functional Connectivity in Demyelinating, Neurodegenerative, and Psychiatric Conditions: From Static to Time-Varying Analysis

doi: 10.3389/fnins.2019.00618

Figure Lengend Snippet: Summary of studies assessing time-varying resting state functional connectivity modifications in different psychiatric and neurological pathologies (excluding multiple sclerosis).

Article Snippet: Mennigen et al. ( ) , Siemens Trio 3T 170 volumes TR = 2 s , 1. Group ICA decomposition in 47 relevant independent components of interest, classified into eight functional networks 2. Sliding-window analysis, window length = 22 TRs (44 s), steps = 1 TR (2 s) 3. k-means clustering (five recurring states). Fuzzy meta-state analysis , 53 patients with clinical high-risk for psychosis 21 females (39.6%) mean age = 20.4 years SD = 4.5 years 58 schizophrenia patients 20 females (34.5%) mean age = 21.8 years SD = 3.8 years 70 healthy controls 41 females (58.6%) mean age = 21.9 years SD = 5.6 years , - Compared to healthy subjects, schizophrenia patients showed significantly lower global meta-state dynamism - Compared to healthy controls, patients with high-risk for psychosis showed significantly lower meta-state dynamism.

Techniques: Functional Assay, Standard Deviation, Imaging, Construct, Control, Comparison