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  1. 4821
    “…In addition, enhanced images were presented alongside their ground-truth CT counterparts in order to assess whether reconstruction errors caused by the deep learning enhancement routine were acceptable to the evaluators. …”
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    Assessing the utility of low resolution brain imaging: treatment of infant hydrocephalus
  2. 4822
    por Bermant, Peter C.
    Publicado 2021
    “…Predictions are compared to the reference ground truth waveforms by searching over the space of (output, target) source order permutations, and we train using an objective function motivated by perceptual audio quality. …”
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    BioCPPNet: automatic bioacoustic source separation with deep neural networks
  3. 4823
    “…A dataset of 366 HCC’s from liver cancer patients was used to train and test the model using DCE-MRI examinations with associated pathological outcomes, with the spatio-temporal framework yielding 93.5% classification accuracy in response identification, and generating follow-up images yielding insignificant differences in perfusion parameters compared to ground-truth post-TACE examinations.…”
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    Prediction of post transarterial chemoembolization MR images of hepatocellular carcinoma using spatio-temporal graph convolutional networks
  4. 4824
    por Okuno, Takuto, Woodward, Alexander
    Publicado 2021
    “…Our measures outperformed them across various types of ground truth data, especially as the number of nodes increased. …”
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    Online Artículo Texto
    Vector Auto-Regressive Deep Neural Network: A Data-Driven Deep Learning-Based Directed Functional Connectivity Estimation Toolbox
  5. 4825
    por Liu, Mingya, Barthel, Mathias
    Publicado 2021
    “…In Experiment 2, participants rated the truth or falsity of the consequent Q after reading a conditional sentence with wenn or nur wenn and a confirmed or negated antecedent (i.e., If P, Q. …”
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    Semantics Processing of Conditional Connectives: German wenn ‘if’ Versus nur wenn ‘only if’
  6. 4826
    “…The performance of the point-finder was assessed using the point-to-point error (i.e. the mean absolute distance between each found point and the equivalent ground truth point, averaged over all points per image). …”
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    A fully automatic system to assess foot collapse on lateral weight-bearing foot radiographs: A pilot study
  7. 4827
    “…CONCLUSION: Quantitative indices of real-world driver data provide “ground truth” for screening and indexing phenotypes of cognitive decline, in line with ongoing efforts to link driver behavior with age-related cognitive decline and AD biomarkers. …”
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    Driver Speed Profiles Index Warning Signs of MCI
  8. 4828
    “…We assessed the ability of a workflow that incorporated OpenPose (a freely available whole-body pose estimation algorithm) to estimate movement frequencies by comparing against manual frame-by-frame (i.e., ground-truth) measurements for all tasks and target frequencies using repeated measures ANOVA, Pearson’s correlations, and intraclass correlations. …”
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    Video-based quantification of human movement frequency using pose estimation: A pilot study
  9. 4829
    “…CONCLUSION: This pipeline implements deep learning methods to generate CTAs from noncontrast images, without the need of contrast injection, that bear strong concordance to the ground truth and enable the assessment of important clinical metrics. …”
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    A Deep Learning Approach to Visualize Aortic Aneurysm Morphology Without the Use of Intravenous Contrast Agents
  10. 4830
    por He, Di, Xie, Lei
    Publicado 2021
    “…CLEIT first learns the latent representation of the high-level domain then uses it as ground-truth embedding to improve the representation learning of the low-level domain in the form of contrastive loss. …”
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    A cross-level information transmission network for hierarchical omics data integration and phenotype prediction from a new genotype
  11. 4831
    “…CONCLUSION: Although the reviewed methods are used for MRI reconstruction, they can also be extended to other areas where ground-truth is not available. Furthermore, we may anticipate that the combination of traditional methods and deep learning will produce better reconstruction results.…”
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    A review on deep learning MRI reconstruction without fully sampled k-space
  12. 4832
    “…Spectral validation measurements were performed by imaging standardised colour tiles and comparing reflectance with ground truth spectrometer data. Tissue spectra were decomposed into individual contributions from haemoglobin, adipose tissue and scattering, using a previously-developed regression approach. …”
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    Intraoperative colon perfusion assessment using multispectral imaging
  13. 4833
    “…Three themes were identified during data analysis, entitled ‘OSCEs are inauthentic’, ‘looking for glimpses of truth’ and ‘evolution with experience’. CONCLUSION: Raters perceive that the shortcomings of OSCEs can have unwanted effects on student behaviour. …”
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    OSCE rater cognition – an international multi-centre qualitative study
  14. 4834
    “…High-quality exams are fundamental in supervised artificial intelligence algorithms, but the lack of ground truth standards in retinal exams datasets is a problem. …”
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    Diabetic retinopathy classification for supervised machine learning algorithms
  15. 4835
    “…Nineteen midface CT scans, that were not included in the SSM, were manually segmented to establish ground truth (control group). Then artificial defects of larger and smaller sizes were created and reconstructed using SSM (Group I) and the gold standard of mirroring (Group II). …”
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    Virtual reconstruction of orbital floor defects using a statistical shape model
  16. 4836
    “…A sequence of spectral data processing was implemented for automatic recognition of informative pixels and scoring each pixel according to a continuous scale (from 0 to 10) associated with the response to NAC. The ground truth status of the responder or non-responder was based on histopathological examination of the samples. …”
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    Identification of Neoadjuvant Chemotherapy Response in Muscle-Invasive Bladder Cancer by Fourier-Transform Infrared Micro-Imaging
  17. 4837
    “…The encoded linkage was carried out in a blinded setting, where there was no access to un-encoded data or a ‘truth set’. RESULTS: The PPRL method using Bloom filters provided similar linkage quality to the traditional un-encoded linkage, with 99.3% of ‘groupings’ identical between privacy preserving and clear-text linkage. …”
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    A blinded evaluation of privacy preserving record linkage with Bloom filters
  18. 4838
    “…The proposed method, implemented using a deep-learning-based technique, was first evaluated using clinically realistic 2D simulation studies with known ground truth, in the context of segmenting the primary tumor in PET images of patients with lung cancer. …”
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    A Bayesian approach to tissue-fraction estimation for oncological PET segmentation
  19. 4839
    “…The MRI during proton therapy-based sCT was compared with replanning CT (ground truth). RESULTS: The Hounsfield unit-mean absolute error was significantly reduced with self-attention cycle-GAN, as compared with conventional cycle-GAN (65.3 ± 13.9 versus 88.9 ± 19.3, P < .01). …”
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    Facilitating MR-Guided Adaptive Proton Therapy in Children Using Deep Learning-Based Synthetic CT
  20. 4840
    “…Moreover, MA detection performance for MAs-FC-DenseNet was very close to the ground truth. Taken together, MAs-FC-DenseNet is a reliable model for rapid and accurate detection of MAs, which would be used for mass screening of DR patients.…”
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    A new detection model of microaneurysms based on improved FC-DenseNet
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