Search Results - "Levchuk, Anatoliy"
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Deep learning‐based fully automatic segmentation of wrist cartilage in MR images
Published in NMR in biomedicine (01-08-2020)“…The study objective was to investigate the performance of a dedicated convolutional neural network (CNN) optimized for wrist cartilage segmentation from 2D MR…”
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Elevated Levels of Serum Biomarkers Associated with Damage to the CNS Neurons and Endothelial Cells Are Linked with Changes in Brain Connectivity in Breast Cancer Patients with Vestibulo-Atactic Syndrome
Published in Pathophysiology (Amsterdam) (01-06-2023)“…Vestibulo-atactic syndrome (VAS), which represents a combination of motor and vestibular disorders, can be manifested as a clinical complication of breast…”
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Microstructural Properties of Brain White Matter Tracts in Breast Cancer Survivors: A Diffusion Tensor Imaging Study
Published in Pathophysiology (Amsterdam) (17-10-2022)“…Complex breast cancer (BC) treatment can cause various neurological and psychiatric complications, such as postmastectomy pain syndrome, vestibulocerebellar…”
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Addiction-like alterations of brain activity in recreational video gamers detected via the cue-reactivity fMRI experiment
Published in Computers in human behavior (01-03-2024)“…The non-substance addictions are starting to be classified as diseases or disorders, but their diagnostics strongly rely on questionnaires, making it unclear…”
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Fully automatic segmentation of post-infarction fibrosis in post-contrast magnetic resonance images of heart : preliminary study
Published in 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON) (11-11-2022)“…Volume of myocardial fibrous tissue have been proposed as an objective prognostic criteria of a successful myocardial revascularization. Manual delineation of…”
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Conference Proceeding -
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Improving detection of fMRI activation at 1.5 T using high permittivity ceramics
Published in Journal of magnetic resonance (1997) (01-03-2023)“…[Display omitted] •High permittivity materials can improve a standard head coil’s receive sensitivity.•These materials can improve the detection of fMRI…”
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CNN‐based fully automatic wrist cartilage volume quantification in MR images: A comparative analysis between different CNN architectures
Published in Magnetic resonance in medicine (01-08-2023)“…Purpose Automatic measurement of wrist cartilage volume in MR images. Methods We assessed the performance of four manually optimized variants of the U‐Net…”
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Cover Image
Published in NMR in biomedicine (01-08-2020)“…The cover image is based on the Research Article Deep learning-based fully automatic segmentation of wrist cartilage in MR images by Ekaterina Brui et al.,…”
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Cover Image
Published in NMR in biomedicine (01-08-2020)“…The cover image is based on the Research Article Deep learning-based fully automatic segmentation of wrist cartilage in MR images by Ekaterina Brui et al.,…”
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Functional Network Connectivity Reveals the Brain Functional Alterations in Breast Cancer Survivors
Published in Journal of clinical medicine (26-01-2022)“…Different neurological and psychiatric disorders such as vertebrobasilar insufficiency, chronic pain syndrome, anxiety, and depression are observed in more…”
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Deep-learning based localization of Myocardial Fibrosis in CMR images
Published in 2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT) (13-05-2024)“…Localization and quantification of myocardial fibrosis are considered as objective prognostic criteria of successful myocardial revascularization. Visual…”
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Conference Proceeding -
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CNN-based fully automatic wrist cartilage volume quantification in MR Image
Published 22-06-2022“…Detection of cartilage loss is crucial for the diagnosis of osteo- and rheumatoid arthritis. A large number of automatic segmentation tools have been reported…”
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Deep learning-based fully automatic segmentation of wrist cartilage in MR images
Published 02-11-2018“…The study objective was to investigate the performance of a dedicated convolutional neural network (CNN) optimized for wrist cartilage segmentation from 2D MR…”
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Journal Article