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  1. 5261
    “…This paper presents a novel dynamical modeling solution to estimate the instantaneous level of the driver drowsiness using EEG signals, where the PERcentage of eyelid CLOSure (PERCLOS) is employed as the ground truth of driver drowsiness. Applying our proposed modeling framework, we find neural features present in EEG data that encode PERCLOS. …”
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    Driver drowsiness estimation using EEG signals with a dynamical encoder–decoder modeling framework
  2. 5262
    “…Dice coefficients were used to assess spatial overlap agreement between manual delineations (ground truth) and automated segmentation. Volume and magnetic susceptibility values in the nuclei extracted with automated CNN delineation were compared to those extracted by manual tracing. …”
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    Automated Segmentation of Midbrain Structures in High-Resolution Susceptibility Maps Based on Convolutional Neural Network and Transfer Learning
  3. 5263
    “…Domain-specific knowledge on its own is not exhaustive; confidence regarding the factual truth of this knowledge content is also required. …”
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    Patterns of Domain-Specific Learning Among Medical Undergraduate Students in Relation to Confidence in Their Physiology Knowledge: Insights From a Pre–post Study
  4. 5264
    “…Individual-level data (demographic, socio-economic, and health characteristics) were combined with exposure to healthy and unhealthy food environments measured with geolocations of food outlets (obtained through ground-truth surveys) within 300 m buffer zones around participants' homes. …”
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    Food environments and obesity: A geospatial analysis of the South Asia Biobank, income and sex inequalities
  5. 5265
    “…RESULTS: In realistic TBI phantoms, no statistical differences in Dice similarity coefficient, precision and brain lesion volumes were found between AQP, the rater consensus and the ground truth lesion delineations. Similar findings were obtained when comparing AQP and manual annotations for TBI patients. …”
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    Automated Quantification of Brain Lesion Volume From Post-trauma MR Diffusion-Weighted Images
  6. 5266
    “…The validation set for both models was ground truth FS labels from the first two minutes of data. …”
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    Amputee Fall Risk Classification Using Machine Learning and Smartphone Sensor Data from 2-Minute and 6-Minute Walk Tests
  7. 5267
    “…The status of validation for ultrasound was evaluated by using the OMERACT criteria of truth, discrimination, and feasibility (in turn divided into nine different criteria). …”
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    Examination of the Validity of Skin Ultrasound to Quantitate Skin Involvement for Multicenter Clinical Trials in Patients with Systemic Sclerosis (SSc): A Systematic Literature Review (SLR)
  8. 5268
    “…The algorithmically preselected hotspot MC-ROIs had a consistently higher MCs than the manually selected MC-ROIs. Compared to a ground truth (developed with immunohistochemistry for phosphohistone H3), pathologist performance in detecting individual MF was augmented when using computer assistance (F1-score of 0.68 increased to 0.79) with a reduction in false negatives by 38%. …”
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    Computer-assisted mitotic count using a deep learning–based algorithm improves interobserver reproducibility and accuracy
  9. 5269
    “…Surrogate carotid scanning for coronary artery risk prediction had shown promising results. Ground truth (GT) selection for AI-based training along with scientific and clinical validation is very important for CVD stratification to avoid RoB. …”
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    A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review
  10. 5270
    “…Based on four sets of tube-to-carina distance-dependent parameters (i.e., (i) 30–70 mm, (ii) 30–60 mm, (iii) 20–60 mm, and (iv) 20–55 mm), corresponding models were generated, and their accuracy was evaluated through the predicted L1 distance to ground-truth coordinates. Based on tube-to-carina and tube-to-clavicle distances, the highest sensitivity, and specificity of 92.85% and 84.62% respectively, were revealed for 20–55 mm. …”
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    Determining Carina and Clavicular Distance-Dependent Positioning of Endotracheal Tube in Critically Ill Patients: An Artificial Intelligence-Based Approach
  11. 5271
    “…CONCLUSION: As the watchdog of democracy, the news should function as a professional and objective source that criticizes government systems if necessary and strives to uncover the truth throughout the crisis. Public trust, which is so essential during such a crisis, can be achieved only if the news channels provide reports and meaningful journalistic investigations that challenge the system. …”
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    It Takes Two to Tango: How the COVID-19 Vaccination Campaign in Israel Was Framed by the Health Ministry vs. the Television News
  12. 5272
    “…The reliability of the developed diffused reflectance system was verified with the ground truth technique, a standard pulse oximeter. Non-invasive, non-contact diffused reflectance spectrum demonstrated maximum signal variation at 610 nm according to SpO(2) level. …”
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    Oxygen saturation measurements using novel diffused reflectance with hyperspectral imaging: Towards facile COVID-19 diagnosis
  13. 5273
    “…When designing an AI-based research study in oncologic imaging, ensuring clinical impact in AI solutions requires careful consideration of key aspects, including target population selection, sample size definition, standards, and common data elements utilization, balanced dataset splitting, appropriate validation methodology, adequate ground truth, and careful selection of clinical endpoints. …”
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    Considerations for artificial intelligence clinical impact in oncologic imaging: an AI4HI position paper
  14. 5274
    “…We obtained annotations of four kinds of cells entered by school pupils and ground truth from expert pathologists. In this paper, we analyse school pupils’ performance on differentiating different kinds of cells and compare their performance with two neural networks (AlexNet and VGG16). …”
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    Lessons from a breast cell annotation competition series for school pupils
  15. 5275
    “…In this work, an objective protocol for the lung mask’s segmentation was defined and the previous annotations were carefully reviewed and corrected to create consistent and adequate ground-truth masks for the development of the segmentation model. …”
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    The Influence of a Coherent Annotation and Synthetic Addition of Lung Nodules for Lung Segmentation in CT Scans
  16. 5276
    “…METHODS: To overcome the absence of ground truth high-resolution (HR) images, we first generate HR iOCT images by fusing spatially aligned iOCT video frames. …”
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    Surgical biomicroscopy-guided intra-operative optical coherence tomography (iOCT) image super-resolution
  17. 5277
    “…We also present a new approach for inferring truth from multiple raters and show that non-experts can produce accurate annotations for visually distinctive classes. …”
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    NuCLS: A scalable crowdsourcing approach and dataset for nucleus classification and segmentation in breast cancer
  18. 5278
    “…A random forest classifier automatically detected fibrotic regions from ground truth Masson’s trichrome stained histopathology whole slide images. …”
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    Murine cardiac fibrosis localization using adaptive Bayesian cardiac strain imaging in vivo
  19. 5279
    “…Numerical phantoms can mitigate these limitations by providing a controlled environment with a known ground truth. In this work, we present FaBiAN, an open-source Fetal Brain magnetic resonance Acquisition Numerical phantom that simulates clinical T2-weighted fast spin echo sequences of the fetal brain. …”
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    A Fetal Brain magnetic resonance Acquisition Numerical phantom (FaBiAN)
  20. 5280
    “…A hybrid DNN approach was utilized, with F-DNN and L-DNN applied sequentially to cases. “Ground truth” classification of CLL MRD was confirmed by expert analysis. …”
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    Artificial Intelligence Enhances Diagnostic Flow Cytometry Workflow in the Detection of Minimal Residual Disease of Chronic Lymphocytic Leukemia
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