Publications by authors named "G K Belous"

Delineation of cardiac substructures is crucial for a better understanding of radiation-related cardiotoxicities and to facilitate accurate and precise cardiac dose calculation for developing and applying risk models. This review examines recent advancements in cardiac substructure delineation in the radiation therapy (RT) context, aiming to provide a comprehensive overview of the current level of knowledge, challenges and future directions in this evolving field. Imaging used for RT planning presents challenges in reliably visualising cardiac anatomy.

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Article Synopsis
  • The study aimed to systematically review techniques for diagnosing and predicting COVID-19 using medical imaging, evaluating the performance and clinical applications of these methods, while also looking at the authors behind these studies.
  • After screening 1,002 studies, 71% were excluded due to bias, indicating significant concerns about reliability in this research area.
  • Diagnostic methods showed high performance (AUC of 0.924 and accuracy of 91.7%), mainly using deep learning techniques, while prognostic methods were less effective (AUC of 0.836 and accuracy of 78.4%).
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Background And Objective: Shape prior models play a vital role for segmentation in medical image analysis. These models are most effective when shape variations can be captured by a parametric distribution, and sufficient training data is available. However, in the absence of these conditions, results are invariably much poorer.

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A catalytic antibody A17 and its mutants highly efficiently interact with organophosphorus pesticide paraoxon. In this work, we studied the protective properties of antibody A17-K47 in paraoxon poisoning using a mouse model. The optimal paraoxon dose simulating the acute toxic effect of organophosphorus compounds was 550 μg/kg.

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