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  1. 3161
    “…Traditional volumetry using region of interest (ROI) is performed manually and the observer needs detailed knowledge of the neuroanatomy having to trace objects of interest on many slices which can cause artificial errors. …”
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    Online Artículo Texto
    Statistical Structural Analysis of Familial Spontaneous Epileptic Cats Using Voxel-Based Morphometry
  2. 3162
    por Eliacheff, Caroline
    Publicado 1997
    Libro
    Del niño rey al niño víctima : violencia famiiar e institucional /
  3. 3163
    Libro
    Ubú rey
  4. 3164
    por Phillips, Jack J., 1945-
    Publicado 2008
    Libro
    Beyond learning objectives : develop measurable objectives that link to the bottom line /
  5. 3165
    Enlace del recurso
    Temporal information retrieval
  6. 3166
    “…Voxel-wise seed-to-voxel maps and whole-brain region of interest (ROI)-to-ROI connectome maps were analyzed in both “Nose>Mouth” and “Mouth>Nose” contrasts. …”
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    Online Artículo Texto
    Resting-state Functional Connectivity During Controlled Respiratory Cycles Using Functional Magnetic Resonance Imaging
  7. 3167
    “…Conventional region-of-interest (ROI) analysis based on manual labeling of brain regions is time-consuming and the results could be inconsistent within and among investigators. …”
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    Online Artículo Texto
    A semi-automated workflow solution for multimodal neuroimaging: application to patients with traumatic brain injury
  8. 3168
    por Wang, Yan, Li, Jingwen, Sun, Bing, Yang, Jian
    Publicado 2016
    “…However, if a data set of a certain region, consisting of multiple tracks of airborne stripmap SAR data, is available, the azimuth resolution of specific small region of interest (ROI) can be conveniently improved by a novel azimuth super-resolution method as introduced by this paper. …”
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    Online Artículo Texto
    A Novel Azimuth Super-Resolution Method by Synthesizing Azimuth Bandwidth of Multiple Tracks of Airborne Stripmap SAR Data
  9. 3169
    “…RESULTS: Positioning of the tracking ROI in the descending aorta achieved a significantly higher contrast enhancement in the pulmonary trunk with a mean increase of 63 HU (p<0.001). …”
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    Online Artículo Texto
    Improvement of Contrast Media Enhancement in CTA Evaluating Pulmonary Embolism by Utilizing ‘Delayed’ Bolus Tracking in the Descending Aorta
  10. 3170
    “…Here, we provide an R implementation of Analysis of Cluster Variability (ANOCVA), which statistically tests (1) whether a set of brain regions of interest (ROI) are equally clustered between two or more populations and (2) whether the contribution of each ROI to the differences in clustering is significant. …”
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    Online Artículo Texto
    ANOCVA in R: A Software to Compare Clusters between Groups and Its Application to the Study of Autism Spectrum Disorder
  11. 3171
    “…The proposed method obtained accuracy of 96.5% in differentiating mild AD from healthy elderly with the whole-brain gray matter or temporal lobe as region of interest (ROI), 91.74% in differentiating progressive MCI from healthy elderly and 88.99% in classifying progressive MCI versus stable MCI with amygdala or hippocampus as ROI. …”
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    Online Artículo Texto
    Prediction and classification of Alzheimer disease based on quantification of MRI deformation
  12. 3172
    “…SAIF AIFs retained the full prognostic value, for pathologic response and overall survival, of LV-ROI AIFs.…”
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    Online Artículo Texto
    Assessment of a statistical AIF extraction method for dynamic PET studies with (15)O water and (18)F fluorodeoxyglucose in locally advanced breast cancer patients
  13. 3173
    “…A target ROI was located on the MLF of the medulla in the reticular formation of the medulla. …”
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    Online Artículo Texto
    Three-Dimensional Identification of the Medial Longitudinal Fasciculus in the Human Brain: A Diffusion Tensor Imaging Study
  14. 3174
    “…Herein, the absorption spectra of MO are reproduced at various pH and ROI conditions.…”
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    Online Artículo Texto
    Dataset for reproducing absorption spectra of methyl orange from the RGB values of microscopic images
  15. 3175
    “…An improved Eff-Unet segmentation network is used to segment thyroid nodules as ROI. The image processing algorithm optimizes the ROI region and divides the nodules. …”
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    Online Artículo Texto
    Automatic Recognition and Classification System of Thyroid Nodules in CT Images Based on CNN
  16. 3176
    “…Vicarious reward for a stranger was not associated with activation within the Nucleus Accumbens. ROI activation was associated with self-reported vicarious joy for mother and father. …”
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    Online Artículo Texto
    Happy for Us not Them: Differences in neural activation in a vicarious reward task between family and strangers during adolescent development
  17. 3177
    “…The manual delineation of region of interest (RoI) in 3D magnetic resonance imaging (MRI) of the prostate is time-consuming and subjective. …”
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    Online Artículo Texto
    Investigating the Performance of Generative Adversarial Networks for Prostate Tissue Detection and Segmentation
  18. 3178
    “…Performance was compared to a standard region of interest (ROI)‐based approach on prediction of memory impairment. …”
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    Online Artículo Texto
    Deep learning improves utility of tau PET in the study of Alzheimer's disease
  19. 3179
    “…The location, morphology, and density of the thymic cysts were summarized, and the changes in CT value of the region of interest (ROI) in the thymic cysts between noncontrast enhanced and enhanced chest scans were compared and classified. …”
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    Online Artículo Texto
    Special Computed Tomography Imaging Features of Thymic Cyst
  20. 3180
    “…In this article, we investigate the potential of GANs models combined with functional connectivity (FC) measures to build a predictive neurotypicality score 3-years after scanning. We used a ROI-to-ROI analysis of resting-state functional magnetic resonance imaging (fMRI) data from a community-based cohort of children and adolescents (377 neurotypical and 126 atypical participants). …”
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    Online Artículo Texto
    Assessing atypical brain functional connectivity development: An approach based on generative adversarial networks
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