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  1. 4541
    “…Furthermore, to compare the diagnostic performance of radiomics models against standard-of-care qualitative visual assessment of stress perfusion images, with the ground truth stenosis label being defined by invasive Fractional Flow Reserve (FFR) and quantitative coronary angiography. …”
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    Radiomics analysis enhances the diagnostic performance of CMR stress perfusion: a proof-of-concept study using the Dan-NICAD dataset
  2. 4542
    “…We tested the performance of the algorithm on synthetic spectra to confirm that this method could recover the ground truth correlations between highly overlapped peaks. …”
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    Rapid Vector-Based Peak Fitting and Resolution Enhancement for Correlation Analyses of Raman Hyperspectra
  3. 4543
    “…TECHNIQUE: A focused scientific question was defined to evaluate the performance of the AI application for a literature search and compare the results with the ground truth provided via a traditional literature search performed by human experts. …”
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    Natural Language Processing for Literature Search in Vascular Surgery: A Pilot Study Testing an Artificial Intelligence Based Application
  4. 4544
    “…The tumor burden identified on the fluorescent images was considered the ground truth for comparison with the in vivo imaging. RESULTS: Across all cases, the PET sensitivity for detecting tumor burden (median 0.67) was not significantly different than MRI (combined T1+T2-weighted) sensitivity (median 0.61; p=0.85). …”
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    MRI and amino acid PET detection of whole-brain tumor burden
  5. 4545
    “…Integrated long-term, in-situ observations are needed to document ongoing environmental change, to “ground-truth” remote sensing and model outputs and to predict future Earth system behaviour. …”
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    Leveraging research infrastructure co-location to evaluate constraints on terrestrial carbon cycling in northern European forests
  6. 4546
    “…Seven temporal parameters were manually measured by two physiatrists as ground-truth data: oral phase duration, pharyngeal delay time, pharyngeal response time, pharyngeal transit time, laryngeal vestibule closure reaction time, laryngeal vestibule closure duration, and upper esophageal sphincter opening duration. …”
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    Application of deep learning technology for temporal analysis of videofluoroscopic swallowing studies
  7. 4547
    “…A zippy estimation by sequential testing (ZEST) strategy was used for the simulations (1000 per eye). Ground-truth sensitivities for each eye were the medians of the test–retest values. …”
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    Improving the Accuracy and Speed of Visual Field Testing in Glaucoma With Structural Information and Deep Learning
  8. 4548
    “…Through qualitative analysis five common themes were identified: Parents find it difficult to accept the truth and often end the relationship with the child after his placement in a social or medical facility; staff is insufficient; lack of regulation; no specialized training in palliative care; need for specialized pediatric hospices. …”
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    Palliative care for children - problems and attitudes of nurses and midwives
  9. 4549
    “…Consequentially, news media and governmental agencies need to weigh the benefits of educational deepfakes and pre-bunking against the risks of undermining truth. Similarly, news companies and media should be careful in how they label suspected deepfakes in case they cause suspicion for real media.…”
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    Do deepfake videos undermine our epistemic trust? A thematic analysis of tweets that discuss deepfakes in the Russian invasion of Ukraine
  10. 4550
    “…The proposed approach yielded 63–99% acceleration in data synthesis time while retaining excellent agreement with the ground truth (Pearson’s r > 0.99, p < 0.0001, normalized root mean square error < 3%).…”
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    Dynamic and rapid deep synthesis of chemical exchange saturation transfer and semisolid magnetization transfer MRI signals
  11. 4551
    “…We found that the HRF shape parameters (HRF amplitude, latency and width) were not significantly different (p>0.05) between ground truth and estimated HRFs. In the single pathological region, the HRF width was marginally significantly different (p=0.03). …”
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    Comparison of hemodynamic response functions obtained from resting-state functional MRI and invasive electrophysiological recordings in rats
  12. 4552
    “…Dice comparison of 5 manually identifiable groups of nuclei to ground truth segmentations show improvements of up to 10 percentage points. …”
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    Accurate Bayesian segmentation of thalamic nuclei using diffusion MRI and an improved histological atlas
  13. 4553
    “…CONCLUSIONS: Our model estimated CO with strong correlation to ground truth and a bias of 0.17 L/min, better than many CO measurements in paediatrics. …”
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    Automatic Prediction of Paediatric Cardiac Output From Echocardiograms Using Deep Learning Models
  14. 4554
    “…CONCLUSIONS: Using metal‐free reference as the ground truth for comparison, the AI‐MAC outperforms VMI in characterizing soft tissue, while VMI is useful in skeletal depiction.…”
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    Preclinical validation of a novel deep learning‐based metal artifact correction algorithm for orthopedic CT imaging
  15. 4555
    “…Therefore, a huge ground‐truth data is required to improve the results of deep neural networks for registration. …”
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    Unsupervised deep learning registration model for multimodal brain images
  16. 4556
    “…An infrared tracking system named OptiTrack was utilized to establish the ground truth positions of the joints in the limbs under study. …”
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    UCO Physical Rehabilitation: New Dataset and Study of Human Pose Estimation Methods on Physical Rehabilitation Exercises
  17. 4557
    “…In particular, scReadSim allows users to design cell-type-specific ground-truth open chromatin regions for scATAC-seq data generation. …”
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    scReadSim: a single-cell RNA-seq and ATAC-seq read simulator
  18. 4558
    “…These datasets encompass diverse ground truth networks, including functional interaction networks, Loss of Function/Gain of Function data, non-specific ChIP-seq data and cell-type-specific ChIP-seq data. …”
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    Predicting gene regulatory links from single-cell RNA-seq data using graph neural networks
  19. 4559
    “…METHODS: We used a dataset of 715 OCT B-scans (82 subjects, 115 eyes) from three clinical studies related to systemic disease. Ground-truth segmentations were generated using a clinically validated, semiautomatic choroid segmentation method, Gaussian Process Edge Tracing (GPET). …”
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    An Open-Source Deep Learning Algorithm for Efficient and Fully Automatic Analysis of the Choroid in Optical Coherence Tomography
  20. 4560
    “…In addition, both qualitative and quantitative assessments of character locations estimated from the association map align closely with those from the cross-attention map and ground-truth character-level bounding boxes.…”
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    Explainable Connectionist-Temporal-Classification-Based Scene Text Recognition
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