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  1. 1
    “…We propose a novel approach to co-register task-based fMRI data using resting state group-ICA networks. We posit that these intrinsic networks (INs) can provide to the spatial normalization process with important information about how each individual’s brain is organized functionally. …”
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    ICA-fNORM: Spatial Normalization of fMRI Data Using Intrinsic Group-ICA Networks
  2. 2
    “…As the best-known scheme in the field of Blind Source Separation (BSS), Independent Component Analysis (ICA) has been intensively used in various domains, including biomedical and acoustics applications, cooperative or non-cooperative communication, etc. …”
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    Performance Analysis of ICA in Sensor Array
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    Editorial for the Special Issue on the ICAE 2019
  4. 4
    “…When such ICA asymmetry coincides with stenosis, it may mimic near-occlusion. …”
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    Atherosclerotic ICA stenosis coinciding with ICA asymmetry associated with Circle of Willis variations can mimic near-occlusion
  5. 5
    por Gaio, Vânia, Cerca, Nuno
    Publicado 2020
    “…METHODOLOGY: The applicability of a fed-batch system to obtain Brc from biofilms of 3 ica(+) and 3 ica(−) isolates was assessed by quantifying the biofilm and Brc biomass by optical density (OD) and colony-forming units (CFU) measurements. …”
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    Biofilm released cells can easily be obtained in a fed-batch system using ica+ but not with ica- isolates
  6. 6
    “…AIM: The study aim was to evaluate the RSR 3 Screen ICA™ and 2 Screen ICA™ for detection of islet cell autoimmunity in healthy Swedish subjects and patients with newly diagnosed type 1 diabetes (T1D). …”
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    Evaluation of the RSR 3 screen ICA™ and 2 screen ICA™ as screening assays for type 1 diabetes in Sweden
  7. 7
    “…In contrast, the coproduction of EivF and YgeG, which are homologs of MxiE and IpgC in the E. coli T3SS 2 (ETT2), failed to activate icaR and icaT. IMPORTANCE icaR and icaT are the latest members of the MxiE regulon discovered in the chromosome. …”
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    icaR and icaT are Ancient Chromosome Genes Encoding Substrates of the Type III Secretion Apparatus in Shigella flexneri
  8. 8
    “…The formation of staphylococci biofilms in the absence of ica genes may be related to the presence of other biofilm formation ica-independent mechanisms. …”
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    The Association between icaA and icaB Genes, Antibiotic Resistance and Biofilm Formation in Clinical Isolates of Staphylococci spp.
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    “…The results show that ICA can be used to separate signal from noise in ASL data, improving the quality of the data collected. …”
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    ICA-based denoising for ASL perfusion imaging
  10. 10
    “…Independent Component Analysis (ICA) is a method for solving blind source separation problems. …”
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    Unique estimation in EEG analysis by the ordering ICA
  11. 11
    “…We aimed to study the effects of icaA and icaD genes on the slime formation of Staphylococcus epidermidis associated with catheter-associated infections. …”
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    Analysis of S. Epidermidis icaA and icaD genes by polymerase chain reaction and slime production: a case control study
  12. 12
    “…The isolates were S. epidermidis KA 15.8 (ICA+), a known biofilm producer isolate positive for icaA, icaD and bap genes, and S. epidermidis KA 14.5 (ICA-), known as a non-biofilm producer isolate negative for icaA, icaD and bap genes. …”
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    Comparison of Biofilm Formation Capacities of Two Clinical Isolates of Staphylococcus Epidermidis with and without icaA and icaD Genes on Intraocular Lenses
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    “…Hydrophilic polyethylene glycol monomethyl ether (mPEG) was grafted onto Icariin (ICA) by succinic anhydride to form a polyethylene glycol-Icariin (mPEG-ICA) polymer. …”
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    Preparation of ICA-loaded mPEG-ICA nanoparticles and their application in the treatment of LPS-induced H9c2 cell damage
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    PROJECT ADMINISTRATION AGREEMENT ICA-JP-0103-TSUKUBA
  15. 15
    por Sato, Wataru, Kochiyama, Takanori
    Publicado 2023
    “…We performed an independent component analysis (ICA) of the EMG data and removed crosstalk components. …”
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    Crosstalk in Facial EMG and Its Reduction Using ICA
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    “…In recent years, Independent Component Analysis (ICA) has become a standard to identify relevant dimensions of the data in neuroscience. …”
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    CUDAICA: GPU Optimization of Infomax-ICA EEG Analysis
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    “…This is a substantial improvement as it allows for kernel-tICA (ktICA) to provide estimates of the characteristic eigenprocesses directly without building an MSM.…”
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    Modeling Molecular Kinetics with tICA and the Kernel Trick
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    “…Principal component analysis (PCA) is widely used for data reduction in group independent component analysis (ICA) of fMRI data. Commonly, group-level PCA of temporally concatenated datasets is computed prior to ICA of the group principal components. …”
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    Memory Efficient PCA Methods for Large Group ICA
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    “…Manual identification of signal and noise after ICA decomposition is required for efficient data denoising: to train supervised algorithms, to check the results of unsupervised ones or to manually clean the data. …”
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    Hand classification of fMRI ICA noise components
  20. 20
    “…OBJECTIVE: The fast fixed-point algorithm for independent component analysis (FastICA) has been widely used in fetal electrocardiogram (ECG) extraction. …”
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    An Improved FastICA Method for Fetal ECG Extraction
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