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  1. 2861
    “…We evaluate the return on investment (ROI) from public land conservation in the state of Minnesota, USA. …”
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    Evaluating the Return in Ecosystem Services from Investment in Public Land Acquisitions
  2. 2862
    “…For many conservation goals, agreement over spatial priorities improves with ROI methods. However, we also show that a reliance on ROI-based prioritization can sometimes exacerbate disagreements over priorities. …”
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    Factoring economic costs into conservation planning may not improve agreement over priorities for protection
  3. 2863
    “…The ROI-selection method reduces the size of a lateral or frontal digital X-ray by 30–60% without losing significance in the resulting image. …”
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    Method to extract an enhanced cervical vertebrae area from a digital X-ray image
  4. 2864
    “…Mean flux values were lowest in the center (ROI I) and showed an increase at the wound edge (ROI II, p = 0.03). …”
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    Prediction of venous wound healing with laser speckle imaging
  5. 2865
    “…The second stage is to segment the region of interest (ROI). This study uses kernel fuzzy C-means for ROI segmentation. …”
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    Skin Cancer Detection Using Kernel Fuzzy C-Means and Improved Neural Network Optimization Algorithm
  6. 2866
    “…In this paper, we assume that the distance map obtained by performing distance transformation on the ROI edge can be used as a weight map to make the network pay more attention to the learning of the ROI edge region. …”
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    Two-Stage Segmentation Framework Based on Distance Transformation
  7. 2867
    “…Mean volume of the left leg was 1937.73 ± 329.51 ml. ROI: lower leg: 933.59 ± 251.12 ml; ankle: 201.53 ± 25.54 ml; foot: 802.62 ± 124.83 ml. …”
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    Establishing regions of interest of the lower leg and ankle for perioperative volumetric assessment with a portable 3D scanner in orthopedic and trauma surgery – a pilot study
  8. 2868
    “…The nth day integrated transit fluence change, Δϕ(n), and the volume change, ΔV(ROI), of the ROI of each patient was calculated from the corresponding WD and CBCT measurements. …”
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    Can the Risk of Dysphagia in Head and Neck Radiation Therapy Be Predicted by an Automated Transit Fluence Monitoring Process During Treatment? A First Comparative Study of Patient Reported Quality of Life and the Fluence-Based Decision Support Metric
  9. 2869
    “…Patient's heart rate, blood pressure, oxygen saturation, respiratory rate, and ROI 1-4 will be recorded before the mobilization as baseline. …”
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    Effect of Electrical Impedance Tomography-Guided Early Mobilization in Patients After Major Upper Abdominal Surgery: Protocol for a Prospective Cohort Study
  10. 2870
    “…We then compared the interictal thalamic seed-to-voxel and ROI-to-ROI cortico-cortical resting-state functional connectivity between the 3 groups. …”
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    Neuroimaging markers of Alice in Wonderland syndrome in patients with migraine with aura
  11. 2871
    “…Sensitivity of the algorithm to changes in the parameters of the ROI, namely shift, resizing and rotation, has been presented. …”
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    Influence of the measurement method of features in ultrasound images of the thyroid in the diagnosis of Hashimoto’s disease
  12. 2872
    “…A significantly higher presence of OM (18.4% vs 0%, p<0.01), OPG (10.2% of ROI vs 3.4% of ROI, p<0.05) and pericytes (19% of ROI vs 3.8% of ROI, p<0.05) were noted in asymptomatic compared to symptomatic plaques. …”
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    Osteoprotegerin, Pericytes and Bone-Like Vascular Calcification Are Associated with Carotid Plaque Stability
  13. 2873
    “…Automatic classification of tissue types of region of interest (ROI) plays an important role in computer-aided diagnosis. …”
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    Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition
  14. 2874
    “…AD of 8 independent regions of interest (ROI) within the vertebral body and 2 ROI within the pedicles of vertebrae above and below the fractured vertebra were measured. …”
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    Assessment of Regional Bone Density in Fractured Vertebrae Using Quantitative Computed Tomography
  15. 2875
    “…In the univariate analysis, SD(M) and ROI(M) were independently associated with interobserver differences in LS as well as BMI, waist circumference, and the difference of ROI, but SD(M) and ROI(M) were the only ones significantly related in multivariate analysis (p<0.001 and p = 0.021, respectively). …”
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    2-dimensional shear wave elastography: Interobserver agreement and factors related to interobserver discrepancy
  16. 2876
    “…In the center of the augmentation (NB(ROI_C)) and the area close to the sinus membrane (NB(ROI_M)), BMP/NMP produced the largest area of NB (NB(ROI_C): 0.10 ± 0.11 mm(2); NB(ROI_M): 0.17 ± 0.08 mm(2)); the corresponding NB values for BCP were 0.05 ± 0.05 mm(2) and 0.08 ± 0.09 mm(2), respectively (P > 0.05 for all comparisons). …”
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    Bone Regeneration Using N-Methyl-2-pyrrolidone as an Enhancer for Recombinant Human Bone Morphogenetic Protein-2 in a Rabbit Sinus Augmentation Model
  17. 2877
    “…Region of interest based (ROI-ROI) bivariate correlation and ROI-ROI bivariate regression were employed as measures of functional and effective-like connectivity, respectively. …”
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    Alterations in basal ganglia-cerebello-thalamo-cortical connectivity and whole brain functional network topology in Tourette's syndrome
  18. 2878
    “…This was then followed by (2) ROI annotation and classification through region-based active contours (AC) segmentation based on the PCA component scores matrix. …”
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    Chemometric Strategies for Sensitive Annotation and Validation of Anatomical Regions of Interest in Complex Imaging Mass Spectrometry Data
  19. 2879
    “…Per capita and total predicted net savings to NYC Government from employees was estimated to be $120 and $1,486,102 for an ROI of 143%. Including dependents, predicted net savings increases to $1,963,431 for an ROI of 189%. …”
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    Financial implications of New York City’s weight management initiative
  20. 2880
    “…Based on the ROI of the tumor core, the T1CE and ADC model achieved the highest AUC value of 0.90. …”
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    Predicting MGMT Promoter Methylation in Diffuse Gliomas Using Deep Learning with Radiomics
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