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Mostrando 261 - 280 Resultados de 4,526 Para Buscar '"Ica"', tiempo de consulta: 0.12s Limitar resultados
  1. 261
    “…In the present study, we applied for the first time a combination of an unsupervised machine learning approach known as multimodal canonical correlation analysis plus joint independent component analysis (mCCA+jICA), in combination with a supervised machine learning approach known as random forest, to possibly find covarying gray matter and white matter (GM-WM) circuits that separate BPD from controls and that are also predictive of this diagnosis. …”
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    Abnormal Brain Circuits Characterize Borderline Personality and Mediate the Relationship between Childhood Traumas and Symptoms: A mCCA+jICA and Random Forest Approach
  2. 262
    “…A young patient was found to have bilateral ICA occlusion and dissecting aneurysm of the obstructed ICA. …”
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    An Illustrative Case of Bilateral Internal Carotid Artery Occlusion Concomitant with Aneurysm of the Obstructed ICA Reconstituted via Collaterals: Emphasizing the Role of Rescue Collaterals in Decision-Making
  3. 263
    “…To address this, we propose to develop an infrastructure (iCAES) in abandoned underground mines, where the exploration phase is completed and well known. …”
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    AHP algorithm used to select suitable abandoned underground mines for energy storage infrastructure – iCAES technology. A specific case study for León (Spain)
  4. 264
    “…We compared 31 SZ to age- and gender-matched HC, and used fMRI and independent component analysis (ICA) in order to identify relevant networks. We selected the independent components (ICs) with the largest signal intensity increases (STG, insula, supplementary motor cortex, anterior cingulate cortex, and MTG) and decreases (fusiform gyri, occipital lobe, PFC, cingulate, precuneus, and angular gyrus) in response to a dichotic auditory cognitive task. …”
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    Patients with Schizophrenia Fail to Up-Regulate Task-Positive and Down-Regulate Task-Negative Brain Networks: An fMRI Study Using an ICA Analysis Approach
  5. 265
    “…Often applied techniques for this purpose are Optimal Basis Set (OBS) and Independent Component Analysis (ICA). The combination of OBS and ICA is increasingly used, since it can potentially improve the correction performed by each technique separately. …”
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    Removal of Pulse Artefact from EEG Data Recorded in MR Environment at 3T. Setting of ICA Parameters for Marking Artefactual Components: Application to Resting-State Data
  6. 266
    “…This study used sICA to assess overlap of FNs extracted from four datasets, each related to a different cognitive task. …”
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    Functional Network Overlap as Revealed by fMRI Using sICA and Its Potential Relationships with Functional Heterogeneity, Balanced Excitation and Inhibition, and Sparseness of Neuron Activity
  7. 267
    “…Polymerase chain reaction technique (PCR) was used to the detection of nuc, mecA, icaA, icaD, icaB, icaC, scn, sea, sak, sep and chp genes. …”
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    Molecular analysis of immune evasion cluster (IEC) genes and intercellular adhesion gene cluster (ICA) among methicillin-resistant and methicillin-sensitive isolates of Staphylococcus aureus
  8. 268
    “…We evaluated SN dysfunction in schizophrenia using independent component analysis (ICA). We rated participant psychopathology using the Positive and Negative Syndrome Scale (PANSS), the Brief Assessment of Cognition in Schizophrenia (BACS), and the Calgary Depression Scale for Schizophrenia (CDSS). …”
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    Structural equation modeling approach between salience network dysfunction, depressed mood, and subjective quality of life in schizophrenia: an ICA resting-state fMRI study
  9. 269
    “…GC-MS data, combined with independent component analysis (ICA) and common component and specific weight analysis (CCSWA), showed that drying techniques, region of harvest, and soil composition have no effect on the chemical composition of O. ehrenbergii EOs. …”
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    Chemical Variability of the Essential Oil of Origanum ehrenbergii Boiss. from Lebanon, Assessed by Independent Component Analysis (ICA) and Common Component and Specific Weight Analysis (CCSWA)
  10. 270
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    Determination of gibberellic acid and abscisic acid in (Zea mays L.) (ICA-V305) seeds germinated using dynamic sonication assisted solvent extraction and maceration
  11. 271
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    Algorithms and architectures for parallel processing: 15th international conference, ICA3PP 2015, Zhangjiajie, China, November 18-20, 2015, proceedings, part IV
  12. 272
    por Vaidya, Jaideep, Li, Jin
    Publicado 2018
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    Algorithms and architectures for parallel processing: 18th international conference, ICA3PP 2018, Guangzhou, China, November 15-17, 2018, proceedings, part II
  13. 273
    por Vaidya, Jaideep, Li, Jin
    Publicado 2018
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    Algorithms and architectures for parallel processing: 18th international conference, ICA3PP 2018, Guangzhou, China, November 15-17, 2018, proceedings, part IV
  14. 274
    Enlace del recurso
    Algorithms and architectures for parallel processing: 15th international conference, ICA3PP 2015, Zhangjiajie, China, November 18-20, 2015, proceedings, part I
  15. 275
    por Vaidya, Jaideep, Li, Jin
    Publicado 2018
    Enlace del recurso
    Algorithms and architectures for parallel processing: 18th international conference, ICA3PP 2018, Guangzhou, China, November 15-17, 2018, proceedings, part I
  16. 276
    por Vaidya, Jaideep, Li, Jin
    Publicado 2018
    Enlace del recurso
    Algorithms and architectures for parallel processing: 18th international conference, ICA3PP 2018, Guangzhou, China, November 15-17, 2018, proceedings, part III
  17. 277
    “…OBJECTIVE: We examined changes in GAD65 and ICA-512 autoantibodies (GADA and IA-2A) during progression to type 1 diabetes (T1D). …”
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    A Longitudinal Study of GAD65 and ICA512 Autoantibodies During the Progression to Type 1 Diabetes in Diabetes Prevention Trial–Type 1 (DPT-1) Participants
  18. 278
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    Corrigendum: Patients with schizophrenia fail to up-regulate task-positive and down-regulate task-negative brain networks: an fMRI study using an ICA analysis approach
  19. 279
    “…Motivated by recent developments of multivariate techniques in the neuroimaging field, we applied a fusion method called “mCCA+jICA” on multimodal structural data of T1-weighted magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI) of 30 unmedicated patients with OCD and 34 healthy controls. …”
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    Alterations of Gray and White Matter Networks in Patients with Obsessive-Compulsive Disorder: A Multimodal Fusion Analysis of Structural MRI and DTI Using mCCA+jICA
  20. 280
    “…RESULTS: In this paper, a PCA/ICA-based algorithm is proposed for extracting fetal ECG, and fetal R-peaks are detected as well. …”
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    A PCA/ICA based Fetal ECG Extraction from Mother Abdominal Recordings by Means of a Novel Data-driven Approach to Fetal ECG Quality Assessment
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