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  1. 5881
    “…The tabletop senior ophthalmologist adjudication label was used as the ground truth for comparative analysis. A univariate and stepwise multivariate logistic regression was performed to determine the relationship of each independent factor in referable diabetic retinopathy. …”
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    Clinical validation of a smartphone-based retinal camera for diabetic retinopathy screening
  2. 5882
    por Qamar, Farid, Dobler, Gregory
    Publicado 2023
    “…It is capable of extracting the vegetation spectral reflectance at high accuracy in the absence of knowledge of the exact atmospheric compositions and conditions at time of capture, and the lack of available sensor-measured spectral radiance and their true ground-truth spectral reflectance profiles.…”
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    Atmospheric correction of vegetation reflectance with simulation-trained deep learning for ground-based hyperspectral remote sensing
  3. 5883
    “…Thus, rMBF in regions of TMS can serve as a reference “truth” to evaluate low-end accuracy of various PET systems and software packages (SWPs). …”
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    Assessment of resting myocardial blood flow in regions of known transmural scar to confirm accuracy and precision of 3D cardiac positron emission tomography
  4. 5884
    “…The number of estimated haematoma clusters was correlated with the total haematoma volume. Ground truth expert annotations were available for one ICH site; hence, a comparison was made with the estimated haematoma volumes. …”
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    Radiological features of brain hemorrhage through automated segmentation from computed tomography in stroke and traumatic brain injury
  5. 5885
    “…The reference annotations for the filter location were obtained through a custom-developed interface. The ground truth annotations for the filter types were determined based on the electronic medical record and physician review of imaging. …”
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    Detecting and Characterizing Inferior Vena Cava Filters on Abdominal Computed Tomography with Data-Driven Computational Frameworks
  6. 5886
    “…METHODS: Three expert radiologists annotated a dataset of mammograms using histology-based ground truth. The dataset was partitioned for training, validation, and testing. …”
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    Deep learning performance for detection and classification of microcalcifications on mammography
  7. 5887
    “…A preclinical MR study at multiple CA doses in a rat model of glioma was performed to tune model parameters and to assess fidelity of the virtual contrast images against ground-truth MR and histological data. Two different scanners (3 T and 7 T, respectively) were used to assess the effects of field strength. …”
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    Amplifying the Effects of Contrast Agents on Magnetic Resonance Images Using a Deep Learning Method Trained on Synthetic Data
  8. 5888
    “…Also “expected” here means “truth” or “actual” class. Software package, Feyn in Python, was used for the model development and visualizations. …”
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    315. An Interpretable Machine Learning Model Using The Gut Microbiome to Predict Clinical E. faecium Infection in Human Stem-Cell Transplant Recipients
  9. 5889
    “…METHODS: Three methodologies for determining the optimal kernel to smooth the CT are compared with noiseless simulations and non-TOF MLEM reconstructions of a patient-realistic digital phantom: (i) the point source insertion-and-subtraction method, [Formula: see text] ; (ii) AF-correcting with varyingly smoothed CT to achieve the lowest RMSE with respect to the ground truth (GT) AF-corrected volume of interest (VOI), [Formula: see text] ; iii) smoothing the GT image to match the reconstruction within the VOI, [Formula: see text] . …”
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    Optimisation of the air fraction correction for lung PET/CT: addressing resolution mismatch
  10. 5890
    por Masic, Izet
    Publicado 2011
    “…First of all, thanks to these meetings, the continuity of scientific meetings and activities in the besieged city of Sarajevo was not broken, as well as the continuity of scientific publication, which was crucial for the maintenance of the teaching staff at the university and, finally, in the expansion of the “scientific truth” about what happened in Sarajevo and B&H in these difficult times. …”
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    The Scientific Conferences Organized During War Time (1992-1995) in Sarajevo
  11. 5891
    “…On the basis of strength in AIDS-denialist beliefs, we constructed a typology of the newcomers consisting of three ideal-typical groups: (1) convinced: those who already had become denialists before coming to the group, (2) doubters: those who were undecided about the truth of either human immunodeficiency virus (HIV) science theory or AIDS-denialist theory, and (3) orthodox: those who openly held HIV science views. …”
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    An AIDS-Denialist Online Community on a Russian Social Networking Service: Patterns of Interactions With Newcomers and Rhetorical Strategies of Persuasion
  12. 5892
    “…METHODS: A total of 59 French participants from the general population were assessed using the Adult Attachment Questionnaire (AAQ), the Adult Attachment Projective Picture System (AAP), and the Attachment Multiple Model Interview (AMMI) as ground truth for attachment security. They were then exposed to three different BAT stimuli sets, whereas their faces, voices, heart rate (HR), and electrodermal activity (EDA) were recorded. …”
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    The Multimodal Assessment of Adult Attachment Security: Developing the Biometric Attachment Test
  13. 5893
    “…METHODS: Young adult participants aged 18-24 years in Wave 7 (October 2014, N=1259) and Wave 9 (February 2016, N=989) of the Truth Initiative Young Adult Cohort Study were asked about use frequency for 11 social media sites and access to digital devices, in addition to sociodemographic characteristics. …”
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    Social Media Use and Access to Digital Technology in US Young Adults in 2016
  14. 5894
    por Davies, Joanna M. S., Cillard, Josiane, Friguet, Bertrand, Cadenas, Enrique, Cadet, Jean, Cayce, Rachael, Fishmann, Andrew, Liao, David, Bulteau, Anne-Laure, Derbré, Frédéric, Rébillard, Amélie, Burstein, Steven, Hirsch, Etienne, Kloner, Robert A., Jakowec, Michael, Petzinger, Giselle, Sauce, Delphine, Sennlaub, Florian, Limon, Isabelle, Ursini, Fulvio, Maiorino, Matilde, Economides, Christina, Pike, Christian J., Cohen, Pinchas, Salvayre, Anne Negre, Halliday, Matthew R., Lundquist, Adam J., Jakowec, Nicolaus A., Mechta-Grigoriou, Fatima, Mericskay, Mathias, Mariani, Jean, Li, Zhenlin, Huang, David, Grant, Ellsworth, Forman, Henry J., Finch, Caleb E., Sun, Patrick Y., Pomatto, Laura C. D., Agbulut, Onnik, Warburton, David, Neri, Christian, Rouis, Mustapha, Cillard, Pierre, Capeau, Jacqueline, Rosenbaum, Jean, Davies, Kelvin J. A.
    Publicado 2017
    “…: the so-called, French Paradox. Doubtless, the truth is not a duality and epistemological bias probably generates apparently self-contradictory conclusions. …”
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    The Oxygen Paradox, the French Paradox, and age-related diseases
  15. 5895
    “…Once trained by cognitive developers, the cognitive services’ output was reviewed by pharmacovigilance subject-matter experts against the accepted ground-truth for correctness and completeness. To be considered adequately trained and functional, each cognitive service was required to reach a threshold of F(1) or accuracy score ≥ 75%. …”
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    Training Augmented Intelligent Capabilities for Pharmacovigilance: Applying Deep-learning Approaches to Individual Case Safety Report Processing
  16. 5896
    “…The surface generated in the TPS from the CT scan was imported into the optical imaging system as an RT Structure for the purpose of validating and establishing a benchmark for ground truth comparison. The optical imaging surface reference capture was acquired at the treatment setup position after orthogonal kV imaging to confirm the positioning. …”
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    A novel approach to Verify air gap and SSD for proton radiotherapy using surface imaging
  17. 5897
    “…Regarding psychological issues, 22 (6.3%) participants hid the truth from the patients while 196 (56.3%) provided emotional support to the patients. …”
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    Palliative care for people living with HIV/AIDS: Factors influencing healthcare workers’ knowledge, attitude and practice in public health facilities, Abuja, Nigeria
  18. 5898
    “…Six visiting staff members participated in a human-machine competition, and the results from the FCM were regarded as the ground truth. RESULTS: In the development cohort, according to 6-fold cross-validation, the average precision of the bounding box prediction without consideration of the classification is 67.4%. …”
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    A Hematologist-Level Deep Learning Algorithm (BMSNet) for Assessing the Morphologies of Single Nuclear Balls in Bone Marrow Smears: Algorithm Development
  19. 5899
    “…The classification results were tested on 18 randomly allocated labeled data sets (3319 slices) and on a T2-weighted BrainWeb data set with known ground truth. RESULTS: The segmentation of clinical test data provided reliable results (global accuracy 0.90, Dice coefficient 0.86), while the CNN segmentation of data from the BrainWeb data set showed comparable results (global accuracy 0.89, Dice coefficient 0.84). …”
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    Semantic segmentation of cerebrospinal fluid and brain volume with a convolutional neural network in pediatric hydrocephalus—transfer learning from existing algorithms
  20. 5900
    “…Ultimately, governments, public health authorities, and scientists have a moral imperative to safeguard the truth and maintain an accessible discourse with the public to limit fear.…”
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    Investigating the Prevalence of Reactive Online Searching in the COVID-19 Pandemic: Infoveillance Study
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