Articles with "quantifying spatial" as a keyword



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Diagnostic and prognostic values of the V-index, a novel ECG marker quantifying spatial heterogeneity of ventricular repolarization, in patients with symptoms suggestive of non-ST-elevation myocardial infarction.

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Published in 2017 at "International journal of cardiology"

DOI: 10.1016/j.ijcard.2017.01.151

Abstract: BACKGROUND The V-index is an ECG marker quantifying spatial heterogeneity of ventricular repolarization. We prospectively assessed the diagnostic and prognostic values of the V-index in patients with suspected non-ST-elevation myocardial infarction (NSTEMI). METHODS We prospectively… read more here.

Keywords: index; ecg; marker quantifying; quantifying spatial ... See more keywords
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Quantifying the spatial spread of dengue in a non-endemic Brazilian metropolis via transmission chain reconstruction

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Published in 2018 at "Nature Communications"

DOI: 10.1038/s41467-018-05230-4

Abstract: The ongoing geographical expansion of dengue is inducing an epidemiological transition in many previously transmission-free urban areas, which are now prone to annual epidemics. To analyze the spatiotemporal dynamics of dengue in these settings, we… read more here.

Keywords: transmission; non endemic; quantifying spatial; dengue non ... See more keywords
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RADIomic Spatial TexturAl descripTor (RADISTAT): Quantifying spatial organization of imaging heterogeneity associated with tumor response to treatment.

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Published in 2022 at "IEEE journal of biomedical and health informatics"

DOI: 10.1109/jbhi.2022.3146778

Abstract: Localized disease heterogeneity on imaging extracted via radiomics approaches have recently been associated with disease prognosis and treatment response. Traditionally, radiomics analyses leverage texture operators to derive voxel- or region-wise feature values towards quantifying subtle… read more here.

Keywords: response; spatial organization; quantifying spatial; tumor ... See more keywords
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Quantifying Spatial Heterogeneity of Tumor-Infiltrating Lymphocytes to Predict Survival of Individual Cancer Patients

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Published in 2022 at "Journal of Personalized Medicine"

DOI: 10.3390/jpm12071113

Abstract: Tumor-infiltrating lymphocytes (TILs), identified on HE-stained histopathological images in the cancer area, are indicators of the adaptive immune response against cancers and play a major role in personalized cancer immunotherapy. Recent works indicate that the… read more here.

Keywords: tumor infiltrating; survival; infiltrating lymphocytes; quantifying spatial ... See more keywords