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  1. 5901
    “…RESULTS: We propose unsupervised medical anomaly detection generative adversarial network (MADGAN), a novel two-step method using GAN-based multiple adjacent brain MRI slice reconstruction to detect brain anomalies at different stages on multi-sequence structural MRI: (Reconstruction) Wasserstein loss with Gradient Penalty + 100 [Formula: see text] loss—trained on 3 healthy brain axial MRI slices to reconstruct the next 3 ones—reconstructs unseen healthy/abnormal scans; (Diagnosis) Average [Formula: see text] loss per scan discriminates them, comparing the ground truth/reconstructed slices. For training, we use two different datasets composed of 1133 healthy T1-weighted (T1) and 135 healthy contrast-enhanced T1 (T1c) brain MRI scans for detecting AD and brain metastases/various diseases, respectively. …”
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    MADGAN: unsupervised medical anomaly detection GAN using multiple adjacent brain MRI slice reconstruction
  2. 5902
    “…CONCLUSIONS: This data set can act as ground truth for the future implementation of a live, automated systematic review. …”
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    Online Artículo Texto
    Using a Secure, Continually Updating, Web Source Processing Pipeline to Support the Real-Time Data Synthesis and Analysis of Scientific Literature: Development and Validation Study
  3. 5903
    “…CONCLUSION: On average, our method identifies well-defined clusters in close agreement with ground truth annotations. Our method is computationally efficient, being fast to train and having a limited memory footprint. contrastive-sc maintains good performance when only a fraction of input cells is provided and is robust to changes in hyperparameters or network architecture. …”
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    Online Artículo Texto
    Contrastive self-supervised clustering of scRNA-seq data
  4. 5904
    “…These were assessed further to examine both the discordance and concordance between visual and quantitative imaging primarily using thresholds robustly established using pathology as the standard of truth. Scans covered a wide range of cases (i.e. from cognitively unimpaired subjects to patients attending the memory clinics). …”
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    Online Artículo Texto
    A multisite analysis of the concordance between visual image interpretation and quantitative analysis of [(18)F]flutemetamol amyloid PET images
  5. 5905
    “…RESULTS: Our model achieved a correlation of 0.87 with the ground-truth similarity score, reaching 6th place out of 33 teams (with a first-place score of 0.90). …”
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    Online Artículo Texto
    Predicting Semantic Similarity Between Clinical Sentence Pairs Using Transformer Models: Evaluation and Representational Analysis
  6. 5906
    “…The predicted post-surgical neurological scores showed high correlations with the ground truth, with r = 0.80 for Tinetti and r = 0.88 for MMSE. …”
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    Systematic volumetric analysis predicts response to CSF drainage and outcome to shunt surgery in idiopathic normal pressure hydrocephalus
  7. 5907
    “…First, we tested EAGLE-RC’s performance with publicly available datasets given a ground truth, and we show that EAGLE-RC decreases the error rate by 3 to 4 times compared to standard approaches. …”
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    Online Artículo Texto
    ARPEGGIO: Automated Reproducible Polyploid EpiGenetic GuIdance workflOw
  8. 5908
    “…The research team identified six significant domains: influencing the policy and administrative decisions, Interference in the implementation of tobacco control laws and activities, false propaganda and hiding the truth, manipulating front action groups (FAG), rampant tobacco advertising and promotion activities and others under which TII activities were classified. …”
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    Evidence on article 5.3 of FCTC (tobacco industry interference in tobacco control activities) in India- a qualitative scoping study
  9. 5909
    “…Mask R-CNN with ResNet101 had on average less deviation (0.115% TBSA) from the ground truth than burn surgeons. CONCLUSIONS: This is one of the first studies to diagnose all depths of burn wounds and convert the segmentation results into %TBSA using different deep learning models. …”
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    Deep Learning–Assisted Burn Wound Diagnosis: Diagnostic Model Development Study
  10. 5910
    “…Five printed LFIA testing results (i.e. the ‘simulated’ results) were used as the ground truth to assess the participant’s performance in interpreting the test results. …”
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    Online Artículo Texto
    User experience of home-based AbC-19 SARS-CoV-2 antibody rapid lateral flow immunoassay test
  11. 5911
    “…The classification system was automated for segmentation of five lung tissue classes on computed tomography (CT) scans that described incrementally increasing tissue density, ranging from normal lung (Class 1) to consolidation (Class 5). For ground truth data generation, we employed a two-stage data annotation approach, akin to active learning. …”
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    A Novel and Automated Approach to Classify Radiation Induced Lung Tissue Damage on CT Scans
  12. 5912
    “…Our method is evaluated by comparing automatic assessments by the ACA model to ADR reports labeled by ADR experts, i.e., the ground truth results from the multinomial logistic regression and the decision tree. …”
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    Automatic assessment of adverse drug reaction reports with interactive visual exploration
  13. 5913
    “…However, most of these methods require annotated data with ground truth (GT) tumor areas manually drawn by medical experts. …”
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    Online Artículo Texto
    Prediction of glioma-subtypes: comparison of performance on a DL classifier using bounding box areas versus annotated tumors
  14. 5914
    “…We leveraged 4 supervised machine learning classification algorithms to predict depression and its severity using PHQ-9 scores as the ground truth. We also quantified an additional 3 digital markers from gyroscope sensors and explored their feasibility in improving the model’s accuracy in detecting depression. …”
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    A Machine Learning Approach for Detecting Digital Behavioral Patterns of Depression Using Nonintrusive Smartphone Data (Complementary Path to Patient Health Questionnaire-9 Assessment): Prospective Observational Study
  15. 5915
    por Penson, Peter E., Bruckert, Eric, Marais, David, Reiner, Željko, Pirro, Matteo, Sahebkar, Amirhossein, Bajraktari, Gani, Mirrakhimov, Erkin, Rizzo, Manfredi, Mikhailidis, Dimitri P., Sachinidis, Alexandros, Gaita, Dan, Latkovskis, Gustavs, Mazidi, Mohsen, Toth, Peter P., Pella, Daniel, Alnouri, Fahad, Postadzhiyan, Arman, Yeh, Hung‐I, Mancini, G.B. John, von Haehling, Stephan, Banach, Maciej, Acosta, Julio, Al‐Khnifsawi, Mutaz, Alnouri, Fahad, Amar, Fahma, Atanasov, Atanas G., Bajraktari, Gani, Banach, Maciej, Bhaskar, Sonu, Bytyçi, Ibadete, Bjelakovic, Bojko, Bruckert, Eric, Cafferata, Alberto, Ceska, Richard, Cicero, Arrigo F.G., Collet, Xavier, Daccord, Magdalena, Descamps, Olivier, Djuric, Dragan, Durst, Ronen, Ezhov, Marat V., Fras, Zlatko, Gaita, Dan, Hernandez, Adrian V., Jones, Steven R., Jozwiak, Jacek, Kakauridze, Nona, Kallel, Amani, Katsiki, Niki, Khera, Amit, Kostner, Karam, Kubilius, Raimondas, Latkovskis, Gustavs, Mancini, G.B. John, Marais, A. David, Martin, Seth S., Martinez, Julio Acosta, Mazidi, Mohsen, Mikhailidis, Dimitri P., Mirrakhimov, Erkin, Miserez, Andre R., Mitchenko, Olena, Mitkovskaya, Natalya P., Moriarty, Patrick M., Nabavi, Seyed Mohammad, Nair, Devaki, Panagiotakos, Demosthenes B., Paragh, György, Pella, Daniel, Penson, Peter E., Petrulioniene, Zaneta, Pirro, Matteo, Postadzhiyan, Arman, Puri, Raman, Reda, Ashraf, Reiner, Željko, Radenkovic, Dina, Rakowski, Michał, Riadh, Jemaa, Richter, Dimitri, Rizzo, Manfredi, Ruscica, Massimiliano, Sahebkar, Amirhossein, Sattar, Naveed, Serban, Maria‐Corina, Shehab, Abdullah M.A., Shek, Aleksandr B., Sirtori, Cesare R., Stefanutti, Claudia, Tomasik, Tomasz, Toth, Peter P., Viigimaa, Margus, Valdivielso, Pedro, Vinereanu, Dragos, Vohnout, Branislav, von Haehling, Stephan, Vrablik, Michal, Wong, Nathan D., Yeh, Hung‐I, Zhisheng, Jiang, Zirlik, Andreas
    Publicado 2022
    “…Many perceived AEs are misattributed (e.g. physical musculoskeletal injury and inflammatory myopathies), and subjective symptoms occur as a result of the fact that patients expect them to do so when taking medicines (the nocebo/drucebo effect)—what might be truth even for over 50% of all patients with muscle weakness/pain. …”
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    Step‐by‐step diagnosis and management of the nocebo/drucebo effect in statin‐associated muscle symptoms patients: a position paper from the International Lipid Expert Panel (ILEP)
  16. 5916
    “…For each IMR image, the software‐reported 2D shift was compared with the ground truth. Certain tests were repeated with 1°, 2°, and 3° of rotation, pitch, and roll, respectively. …”
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    Evaluation of a proprietary software application for motion monitoring during stereotactic paraspinal treatment
  17. 5917
    “…CONCLUSION: the letters of the Qing Dynasty in the 18th century can make up for the lack of monographs and historical materials and return the literature to its original truth; It helps to outline the trend of Confucianism in the Qing Dynasty, improve the academic pedigree of people in the Qing Dynasty, provide necessary language support for the research of academic history, cultural history and other disciplines, and promote the in-depth development of literature collation and collation. …”
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    THE CHANGES OF SOCIAL EMOTION AND BEHAVIOR IN LETTERS IN THE QING DYNASTY AND ITS ACADEMIC CONNOTATION
  18. 5918
    “…Weekly Patient Health Questionnaire-9 surveys answered by participants served as the ground truth. We applied regression-based approaches to predict the Patient Health Questionnaire-9 depression score and change in depression severity. …”
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    Predicting Depression in Adolescents Using Mobile and Wearable Sensors: Multimodal Machine Learning–Based Exploratory Study
  19. 5919
    “…However, limited patient data in combination with the unavailability of a ground truth often pose a challenge to a systematic validation of such methodologies. …”
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    Analysis of a deep learning-based method for generation of SPECT projections based on a large Monte Carlo simulated dataset
  20. 5920
    “…However, the accuracy and robustness of VDM remains undefined given the lack of ground truth from clinical CTA data, and, furthermore, the performance of VDM relative to standard manual diameter measurements is unknown. …”
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    Online Artículo Texto
    Validation of a robust method for quantification of three‐dimensional growth of the thoracic aorta using deformable image registration
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