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  1. 5741
    “…Taken together, this study serves as a ground-truth validation study for future in vivo comparisons and treatments.…”
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    Quantitative and histologically validated measures of the entorhinal subfields in ex vivo MRI
  2. 5742
    “…These results establish a ground truth for the modelling of acoustic processes, which is critical for studies in atmospheres such as those of Mars and Venus. …”
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    In situ recording of Mars soundscape
  3. 5743
    “…This study provides an overview of literature on the accuracy of artificial intelligence (AI) methods used to analyze digital images of food compared to human coders and ground truth. METHODS: This scoping review included peer-reviewed journal articles reporting AI (e.g., deep learning) and image coding for food analysis. …”
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    The State of the Science on Artificial Intelligence-Based Dietary Assessment Methods That Use Digital Images: A Scoping Review
  4. 5744
    “…Thereby, the optimal set of unknown modelling parameters was obtained iteratively from the minimum difference between model predictions and post-surgery ground truth data. This report presents a pre-/post-surgery study indicating a crucial role of these particular key points in improving the post-surgery outcome of decompression treatment of endocrine orbitopathy which was also supported by 3D biomechanical simulation of alternative two-wall resection plans. …”
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    Consideration of specific key points improves outcome of decompression treatment in patients with endocrine orbitopathy: pre-/post-OP comparison and biomechanical simulation
  5. 5745
    “…Further, a systematic training program is devised and tested to demystify the false myths with discerning truth and awareness-raising in hospital sanitary workers. …”
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    Myths and misconception of COVID-19 among hospital sanitary workers in Pakistan: Efficacy of a training program intervention
  6. 5746
    “…We performed an evaluation over synthetic and real EEG datasets with known ground-truth. The experimental results show that optimal subsets with 6 electrodes can attain an equal or better accuracy than HD-EEG (with more than 200 channels) for a single source case. …”
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    Automated methodology for optimal selection of minimum electrode subsets for accurate EEG source estimation based on Genetic Algorithm optimization
  7. 5747
    “…Using a validation dataset, Dice scores were computed for our lesion segmentations and other published segmentation networks using ground truth segmentations reviewed by radiologists. RESULTS: The COVID-to-Healthy generator eliminated high Hounsfield unit (HU) voxels within pulmonary lesions and replaced them with lower HU voxels. …”
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    Unsupervised segmentation and quantification of COVID-19 lesions on computed Tomography scans using CycleGAN
  8. 5748
    “…Ophthalmologists graded these fundus photos according to the International Clinical Diabetic Retinopathy (ICDR) Severity Scale as the ground truth. Two existing trained AI models were used to automatically classify the fundus images into DR grades according to ICDR, and to detect concomitant ME from OCT images, respectively. …”
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    Application of artificial intelligence-based dual-modality analysis combining fundus photography and optical coherence tomography in diabetic retinopathy screening in a community hospital
  9. 5749
    “…The reliability of each trait was validated against ground-truth data from manual measurements. Moreover, EARBOX derives novel traits, inaccessible through conventional methods, especially the distribution of grain dimensions along grain cohorts, relevant for ear morphogenesis, and the distribution of abortion frequency along the ear, relevant for plant response to stress, especially soil water deficit. …”
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    Earbox, an open tool for high-throughput measurement of the spatial organization of maize ears and inference of novel traits
  10. 5750
    “…METHODS: Using time-to-event analyses, the 10–wave (2011–2016) Truth Initiative Young Adult Cohort, a probability-based, nationally representative sample of the US young adults aged 18–34 years (N = 7 665), provides data to examine differences in variables that influence tobacco uptake, by race and ethnicity. …”
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    Individual Health Determinants That Predict Low Risk of Transitioning to Tobacco Use During Young Adulthood: An In-Depth Examination of Race and Ethnicity
  11. 5751
    “…P2(21M) identified as Wiccan but thought all religions hold truth. 2. An incarnational, embodied service P9 (33F) wished chaplains wandered around the wards and S10 (F1 Junior Doctor) praised their presence in general hospitals. …”
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    Mind and Spirit. Chaplaincy and Spiritual Care in Inpatient Psychiatry – a Qualitative Study
  12. 5752
    “…Then, we add a novel component to the final layer of the SVAE which forces the model to reconstruct the input image using a segmentation that must match the ground truth segmentation whenever it is present. We name this final model StitchNet. …”
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    Semi-supervised COVID-19 CT image segmentation using deep generative models
  13. 5753
    “…The impact of collimator detector response (CDR) modeling and volume‐based partial volume corrections (PVCs) upon the absorbed dose was calculated using an image‐based, Geant4 Monte Carlo RPT dosimetry workflow and compared against a ground truth scenario. Finally, uncertainties were quantified in accordance with recent EANM guidelines. …”
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    Validation of Monte Carlo (131)I radiopharmaceutical dosimetry workflow using a 3D‐printed anthropomorphic head and neck phantom
  14. 5754
    “…Two trained, blinded senior radiologists conducted ground truth annotations. Five types of performance metrics were used to validate COVLIAS 1.0-Unseen which was further benchmarked against MedSeg, an open-source web-based system. …”
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    Multicenter Study on COVID-19 Lung Computed Tomography Segmentation with varying Glass Ground Opacities using Unseen Deep Learning Artificial Intelligence Paradigms: COVLIAS 1.0 Validation
  15. 5755
    “…To check our hypothesis for truth or falsity, we used a validated questionnaire, “simulated operations” (mechanically supporting USLs with a vaginal speculum test to test for reduction of urge and pain), transperineal ultrasound and urodynamics. …”
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    Non-Hunner's Interstitial Cystitis Is Different from Hunner's Interstitial Cystitis and May Be Curable by Uterosacral Ligament Repair
  16. 5756
    “…The performance of the model was evaluated using Cohen’s kappa on an independent test set of 686 patients using annotations by expert pathologists as ground truth. The predicted low/intermediate (n = 327) and high (n = 359) grade groups were used to perform survival analysis. …”
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    Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images
  17. 5757
    “…Further validation of all MRI measures of Y(v), relative to ground truth measures such as O(15) PET and jugular vein catheterization, is required in SCA before QSM or TRUST methods can be considered for neurological risk prediction.…”
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    A Comparison of MRI Quantitative Susceptibility Mapping and TRUST-Based Measures of Brain Venous Oxygen Saturation in Sickle Cell Anaemia
  18. 5758
    “…RESULTS: When comparing ground truths to autosegmentations on the test data set, median Dice Similarity Coefficients were 0.90, 0.90, 0.89, and 0.81, and median mean surface distance values were 1.0 mm, 1.0 mm, 1.1 mm, and 1.3 mm for node levels Ia-V, Ib-V, II-IV, and RP nodes, respectively. …”
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    Generating High-Quality Lymph Node Clinical Target Volumes for Head and Neck Cancer Radiation Therapy Using a Fully Automated Deep Learning-Based Approach
  19. 5759
    “…Image acquisition took 2 min per patient. Ground truth for each image of the dataset was determined by 2 masked retina specialists, and disagreements were resolved by a 3rd retina specialist. …”
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    Validation of an autonomous artificial intelligence–based diagnostic system for holistic maculopathy screening in a routine occupational health checkup context
  20. 5760
    “…Activity type labels collected via travel surveys are used as ground truth for backpropagation. The experiment results with real-world GPS trajectories show that Gstp2Vec significantly reduces feature engineering efforts by automatically learning feature embeddings from raw trajectories with minimal prepossessing efforts. …”
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    Graph-based representation for identifying individual travel activities with spatiotemporal trajectories and POI data
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