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  1. 5861
    “…Model accuracy and F1 scores on a hold-out test set were calculated, with ground truth labels by an expert radiologist. External validation of MVT (MVT(external)) was performed on data from 3 previously unseen magnet systems from 2 vendors (n = 80 patients). …”
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    Online Artículo Texto
    CardiSort: a convolutional neural network for cross vendor automated sorting of cardiac MR images
  2. 5862
    “…Natural language processing (NLP) on final radiology reports served as the ground truth for identifying positive PE cases, where we found an NLP accuracy of 98% for classifying radiology reports as positive or negative for PE based on a manual review of 2,400 radiology reports. …”
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    Online Artículo Texto
    Early-stage COVID-19 pandemic observations on pulmonary embolism using nationwide multi-institutional data harvesting
  3. 5863
    “…BACKGROUND: Structural and interpersonal anti-Indigenous racism is prevalent in Canadian healthcare. The Truth and Reconciliation Commission calls on medical schools to address anti-Indigenous bias in students. …”
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    Online Artículo Texto
    Anti-Indigenous bias of medical school applicants: a cross-sectional study
  4. 5864
    “…METHODS: Eight healthy men volunteers aged 22–45 years underwent a 10-min head-fixed PET scan as a standard of truth in this study, which was started 45 min after (18)F-fluorodeoxyglucose (285 ± 23 MBq) injection, and followed by a 15-min head-moving PET scan with the developed Kinect based motion-tracking system. …”
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    Online Artículo Texto
    Brain PET motion correction using 3D face-shape model: the first clinical study
  5. 5865
    “…Even though clinical data are the final target, their use to characterize systems response is constrained by the lack of ground truth. Phantom tests overcome this limitation by controlling the object of study, but remain simple and are not representative of patient complexity. …”
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    Online Artículo Texto
    Evaluation of a method based on synthetic data inserted into raw data prior to reconstruction for the assessment of PET scanners
  6. 5866
    “…A new method to evaluate the accuracy of the EIT images using CT scans of the imaged patient as ground truth is presented. The novel approach is tested on data from two patients with cystic fibrosis. …”
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    Online Artículo Texto
    Improved resolution of D‐bar images of ventilation using a Schur complement property and an anatomical atlas
  7. 5867
    “…AI GA estimates and standard fetal biometry estimates were compared to a previously established ground truth, and evaluated for difference in absolute error. …”
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    Online Artículo Texto
    A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment
  8. 5868
    “…The ability to use familiar clinical tools to revise the AI segmentations and natively embedding the segmentation and radiomic feature extraction tools on the diagnostic workstation accelerates the process to generate ground-truth data.…”
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    Online Artículo Texto
    Clinical implementation of artificial intelligence in neuroradiology with development of a novel workflow-efficient picture archiving and communication system-based automated brain tumor segmentation and radiomic feature extraction
  9. 5869
    “…METHODS: We created 210 numerical brain phantoms (MRI segmented into 9 regions) and assigned 10 different plausible activity values (e.g., GM/WM ratios) resulting in 2100 ground truth high quality (GT-HQ) PET phantoms. With a validated Monte-Carlo PET simulator, we then created 2100 simulated standard quality (S-SQ) [(18)F]FDG scans. …”
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    Online Artículo Texto
    PET image enhancement using artificial intelligence for better characterization of epilepsy lesions
  10. 5870
    “…The major advantages of our approach are as follows: (1) synthetic training data can be generated virtually instantly and on demand; (2) these synthetic images are accompanied by perfect ground truth positions of cells, meaning no data curation is required; (3) different biological conditions, imaging platforms, and imaging modalities can be rapidly simulated, meaning any change in one’s experimental setup no longer requires the laborious process of manually generating new training data for each change. …”
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    Online Artículo Texto
    Synthetic Micrographs of Bacteria (SyMBac) allows accurate segmentation of bacterial cells using deep neural networks
  11. 5871
    “…Researchers generated five methodological values propositions from the process of co-production, including (a) mutual respect for all viewpoints, (b) a rejection of assumed hierarchy, (c) commitments to truth speaking, (d) attention to process, and (e) equivalence of contribution. …”
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    Online Artículo Texto
    Actualizing community–academic partnerships in research: a case study on rural perinatal peer support
  12. 5872
    “…Each radiograph was interpreted independently by up to 3 radiologists to establish consensus ground-truth interpretations. Each radiograph was then interpreted by the AI model for the presence of pneumothorax and tension pneumothorax. …”
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    Online Artículo Texto
    Evaluation of an Artificial Intelligence Model for Detection of Pneumothorax and Tension Pneumothorax in Chest Radiographs
  13. 5873
    “…Using PSMA PET/CT as the ground truth and consensus pelvic LN clinical target volumes as search regions, a 2.5-dimensional (2.5D) Mask R-CNN based object detection framework was trained. …”
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    Online Artículo Texto
    Mask R-CNN assisted 2.5D object detection pipeline of (68)Ga-PSMA-11 PET/CT-positive metastatic pelvic lymph node after radical prostatectomy from solely CT imaging
  14. 5874
    “…The implemented method was validated on a digital anthropomorphic phantom, for which a ground truth (GT) 4DCT was available. A CIRT treatment plan was optimized at the end-exhale reference CT and the RBE-weighted dose distribution was recalculated on both the virtual and GT 4DCTs. …”
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    Online Artículo Texto
    Investigating the use of virtual 4DCT from 4DMRI in gated carbon ion radiation therapy of abdominal tumors
  15. 5875
    por Cocchiarella, Luigi
    Publicado 2015
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    The visual language of technique
  16. 5876
    “…Segmentation performance was evaluated using ground-truth manual labels, and a strain analysis using conventional methods was performed to assess strain agreement with manual segmentation. …”
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    Online Artículo Texto
    Automated segmentation of long and short axis DENSE cardiovascular magnetic resonance for myocardial strain analysis using spatio-temporal convolutional neural networks
  17. 5877
    “…The prevalence estimated by the VRC was 2.70% (95% CI 1.84%-3.80%) compared to the ground truth prevalence of 2.87% (95% CI 1.98%-4.01%). CONCLUSIONS: A VRC model using crowdsourcing as a first pass with skilled grading of positive images was able to identify TF rapidly and accurately in a low prevalence setting. …”
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    Online Artículo Texto
    A Virtual Reading Center Model Using Crowdsourcing to Grade Photographs for Trachoma: Validation Study
  18. 5878
    “…Mean squared velocity error was calculated using the differences between the ground truth and estimated conduction velocities. RESULT: In electroanatomic maps recreated with high electrogram sampling density (16.45 points/cm2), planar fitting showed a slightly higher error compared to triangulation and the radial basis function methods (0.16 ± 0.03 m/s, 0.11 ± 0.01 m/s and 0.12 ± 0.03 m/s, respectively, P < 0.05). …”
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    Online Artículo Texto
    Performance of atrial conduction velocity algorithms: a comparative in-silico study
  19. 5879
    “…This requires a commitment to addressing systemic issues and implementing broader calls to action and justice proposed by the Truth and Reconciliation Commission Calls to Action, the Missing and Murdered Indigenous Women and Girls Calls for Justice, and the United Nations Declaration on the Rights of Indigenous Peoples. …”
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    Online Artículo Texto
    Indigenous birth support worker (IBSW) program evaluation: a qualitative analysis of program workers and clients’ perspectives
  20. 5880
    “…METHODS: A total of 89 PET images were acquired from Peking Union Medical College Hospital (PUMCH) in China in this study. Ground-truth quality for images was assessed by two senior radiologists and classified into five grades (grade 1, grade 2, grade 3, grade 4, and grade 5). …”
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    Online Artículo Texto
    Deep learning model for automatic image quality assessment in PET
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