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  1. 1101
    “…PURPOSE: Annotation of meaningful landmark ground truth on DCE-MRI is difficult and laborious. Motion correction methods applied to DCE-MRI of the liver are thus mostly evaluated using qualitative or indirect measures. …”
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    Landmark-based evaluation of a deformable motion correction for DCE-MRI of the liver
  2. 1102
    “…Ground-truth data was collected in 2015 and analysed in 2016. …”
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    Comparing the accuracy of food outlet datasets in an urban environment
  3. 1103
    “…The performance was evaluated using the mean absolute boundary error and the differences in two clinical metrics (retinal thickness and volume) compared with the ground truth. The performance of a separate deep learning method and two publicly available software algorithms were also evaluated against the ground truth. …”
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    Retinal Boundary Segmentation in Stargardt Disease Optical Coherence Tomography Images Using Automated Deep Learning
  4. 1104
    por Ekweariri, Dominic
    Publicado 2021
    “…In the Origin of the work of art, Heidegger claimed that the work of art opens to us the truth of Being, the opening of the world. Two problematics arise from this. …”
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    Appreciation of Art as a Perception Sui Generis: Introducing Richir’s Concept of “Perceptive” Phantasia
  5. 1105
    “…We explored and demonstrated the use of ground truth generated in this way for validating spot-calling algorithms and tuning their parameters, and confirmed that consensus crowdsourced annotations are a viable substitute for expert-generated ground truth for these purposes.…”
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    Validation and tuning of in situ transcriptomics image processing workflows with crowdsourced annotations
  6. 1106
    “…We built a dynamic testing platform to generate not only the ground truth trajectory but also the ground truth acceleration and velocity. …”
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    Experimental Evaluation of Sensor Fusion of Low-Cost UWB and IMU for Localization under Indoor Dynamic Testing Conditions
  7. 1107
    “…Second, to generate additional optical flow ground truth that indicates 3D motion of objects in addition to the ground truth obtained in static scenes in order to calculate more precise pixel level motion estimation, we released a light field scene flow dataset with dense 3D motion ground truth of pixels, and each scene has 150 frames. …”
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    A New Parallel Intelligence Based Light Field Dataset for Depth Refinement and Scene Flow Estimation
  8. 1108
    “…Moderate agreement (Cohen’s κ 0.59) was observed between the ground truth and AI on IHC, with most discrepancies occurring between 0 and 1+ scores. …”
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    Determining HER2 Status by Artificial Intelligence: An Investigation of Primary, Metastatic, and HER2 Low Breast Tumors
  9. 1109
    “…However, these algorithms need to be trained with a significant amount of ground truth data. In the context of biomedical applications, collecting ground truth data, particularly at the personalized level is challenging, burdensome, and in some cases infeasible. …”
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    Physics-Informed Neural Networks for Modeling Physiological Time Series: A Case Study with Continuous Blood Pressure
  10. 1110
    “…Dice similarity coefficients (DSC) were calculated between 2mMRI and either ground-truth 6mMRI or synthetic 6mMRI for each OAR; two one-sided t-tests were applied between the ground-truth and synthetic 6mMRI to determine equivalence. …”
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    Deep-learning-based generation of synthetic 6-minute MRI from 2-minute MRI for use in head and neck cancer radiotherapy
  11. 1111
    “…In Study 1 the eye movements of participants who were lying or telling the truth were coded, but did not match the NLP patterning. …”
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    The Eyes Don’t Have It: Lie Detection and Neuro-Linguistic Programming
  12. 1112
    “…When people make judgments about the truth of a claim, related but nonprobative information rapidly leads them to believe the claim–an effect called “truthiness” [1]. …”
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    People with Easier to Pronounce Names Promote Truthiness of Claims
  13. 1113
    “…In 2014, Truth Initiative launched the national FinishIt campaign to prevent smoking initiation among youth and young adults. …”
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    Cost and Threshold Analysis of the FinishIt Campaign to Prevent Youth Smoking in the United States
  14. 1114
    “…Therefore, in practice, decisions are made based on partial information about the ground truth network. It is of great interest to have metrics to determine if an inferred network (the partial information network) is similar to the ground truth. …”
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    Identifying network structure similarity using spectral graph theory
  15. 1115
    por Vrij, Aldert, Fisher, Ronald P.
    Publicado 2020
    “…First we will cite research demonstrating that observers believe lie tellers display more nervous behaviors than truth tellers; that observers pay attention to nervous behaviors when they attempt to detect deception; and that lie tellers actually feel more nervous than truth tellers. …”
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    Unraveling the Misconception About Deception and Nervous Behavior
  16. 1116
    “…To achieve efficacious smart health artificial intelligence, contextual clinical knowledge serving as ground truth is required. Qualitative methods are well-suited to lend consistent and valid ground truth. …”
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    Interpreting Health Events in Big Data Using Qualitative Traditions
  17. 1117
    por Žust, Lojze, Kristan, Matej
    Publicado 2022
    “…However, per-pixel ground truth labeling of such datasets is labor-intensive and expensive. …”
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    Learning with Weak Annotations for Robust Maritime Obstacle Detection
  18. 1118
    por Yang, Guo, Ma, Cong’ao, Wang, Baozhi
    Publicado 2022
    “…This paper attempts to reveal how the theory of organic news truth is realized in the current Chinese news practice. …”
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    RE ENLIGHTENMENT OF NEWS REALITY BASED ON NEWS EMOTION REGULATION FROM THE PERSPECTIVE OF ORGANIC THEORY: A CASE STUDY OF PUBLIC OPINION EVENTS OF WUHAN RED CROSS SOCIETY
  19. 1119
    por Koch, Kathy
    Publicado 2015
    “…Unmasking the lies teenagers tend to believe, like "I must have choices," the book majors on truth, acknowledging that Truth alone brings contentment, freedom, and success.…”
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    Screens and teens: connecting with our kids in a wireless world
  20. 1120
    por CMS Collaboration
    Publicado 2022
    “…This method of efficiency measurements is called Truth tagging. In this talk, we propose a GNN-based approach for Truth-tagging which provides efficiency estimates parameterized in the multi-dimensional phase for b- tagging classifiers in CMS as firstly studied by the ATLAS Collaboration. [1]…”
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    Efficiency parametrization of b-tagging classifier using Graph Neural Networks
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