Zobrazeno 1 - 10
of 521
pro vyhledávání: '"P. Yablonskiy"'
Publikováno v:
International Journal of Circumpolar Health, Vol 80, Iss 1 (2021)
The study is aimed to evaluate the HIV, TB, and HIV/TB coinfection incidence per 100,000 population/year in Russian Arctic, based on official statistical data. The epidemics’ incidence in Russian Arctic is uneven. The highest HIV incidence in 2019
Externí odkaz:
https://doaj.org/article/f221c465677b491e83454e38a19329e2
Autor:
Hu, Yuyang, Kothapalli, Satya V. V. N., Gan, Weijie, Sukstanskii, Alexander L., Wu, Gregory F., Goyal, Manu, Yablonskiy, Dmitriy A., Kamilov, Ulugbek S.
We introduce a new framework called DiffGEPCI for cross-modality generation in magnetic resonance imaging (MRI) using a 2.5D conditional diffusion model. DiffGEPCI can synthesize high-quality Fluid Attenuated Inversion Recovery (FLAIR) and Magnetizat
Externí odkaz:
http://arxiv.org/abs/2311.18073
Publikováno v:
Сибирский онкологический журнал, Vol 23, Iss 3, Pp 44-56 (2024)
The aim of this study was to evaluate the feasibility and safety of sequential bilateral anatomical lung resections performed via video-assisted thoracic surgery (VATS) or thoracotomy approaches in lung cancer patients, as well as to identify factors
Externí odkaz:
https://doaj.org/article/a73ef898087b45bd960f61437aa0b582
Autor:
Michal R. Tomaszewski, Alexander L. Sukstanskii, Hyking Haley, Xiangjun Meng, Corin O. Miller, Dmitriy A. Yablonskiy
Publikováno v:
NeuroImage, Vol 298, Iss , Pp 120794- (2024)
Robust methods are needed for preclinical evaluation of novel Alzheimer Disease (AD) therapies to accelerate drug discovery. Quantitative Gradient Recalled Echo (qGRE) MRI has shown promise to provide insight into neurodegeneration in AD prior to atr
Externí odkaz:
https://doaj.org/article/aef6c483f9084e05bdd928adfab0bc1f
Autor:
Xu, Xiaojian, Gan, Weijie, Kothapalli, Satya V. V. N., Yablonskiy, Dmitriy A., Kamilov, Ulugbek S.
Quantitative MRI (qMRI) refers to a class of MRI methods for quantifying the spatial distribution of biological tissue parameters. Traditional qMRI methods usually deal separately with artifacts arising from accelerated data acquisition, involuntary
Externí odkaz:
http://arxiv.org/abs/2210.06330
Autor:
Igor Vasilev, Igor Mamenko, Roman Simonov, Tatiana Novitskaya, Viacheslav Zhuravlev, Petr Yablonskiy
Publikováno v:
Folia Medica, Vol 66, Iss 2, Pp 282-286 (2024)
The diagnosis of intrathoracic non-tuberculous mycobacteriosis (NTM) is challenging. We report a case of a pediatric pulmonary NTM with endobronchial lesion and lymphadenitis in a child with HIV infection diagnosed by bronchoscopic biopsy, EBUS-TBNA
Externí odkaz:
https://doaj.org/article/7b8a106561c74d65b9274a1f7355ca53
Publikováno v:
Инновационная медицина Кубани, Vol 0, Iss 1, Pp 18-27 (2024)
Objective: To analyze short-term outcomes of anatomical lung resections using video-assisted thoracoscopic surgery (VATS) and thoracotomy approaches.Materials and methods: Our retrospective study included 530 patients who underwent surgery for variou
Externí odkaz:
https://doaj.org/article/d85ee38badd14880bc72e66b8b8a000f
Autor:
Natalia Yudintceva, Danila Bobkov, Maksim Sulatsky, Natalia Mikhailova, Elena Oganesyan, Tatiana Vinogradova, Alexandr Muraviov, Anna Remezova, Evdokia Bogdanova, Irina Garapach, Olga Maslak, Dilyara Esmedlyaeva, Marina Dyakova, Petr Yablonskiy, Rustam Ziganshin, Sergey Kovalchuk, Natalya Blum, Shirish H. Sonawane, Avinash Sonawane, Ankita Behl, Shailja Singh, Maxim Shevtsov
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Extrapulmonary tuberculosis with a renal involvement can be a manifestation of a disseminated infection that requires therapeutic intervention, particularly with a decrease in efficacy of conventional regimens. In the present study, we inves
Externí odkaz:
https://doaj.org/article/73691e43389a4e74be20eed0f8029c73
Autor:
Xu, Xiaojian, Kothapalli, Satya V. V. N., Liu, Jiaming, Kahali, Sayan, Gan, Weijie, Yablonskiy, Dmitriy A., Kamilov, Ulugbek S.
Purpose: To introduce two novel learning-based motion artifact removal networks (LEARN) for the estimation of quantitative motion- and $B0$-inhomogeneity-corrected $R_2^\ast$ maps from motion-corrupted multi-Gradient-Recalled Echo (mGRE) MRI data. Me
Externí odkaz:
http://arxiv.org/abs/2109.01622
Autor:
I. S. Serezvin, A. O. Avetisyan, M. B. Potievskiy, A. A. Rodin, N. A. Rodin, G. K. Savon, D. K. Grabetskii, P. K. Yablonskiy
Publikováno v:
Инновационная медицина Кубани, Vol 0, Iss 4, Pp 60-67 (2023)
Introduction: Predicting various events based on influencing factors is important for statistical analysis in medical research. Unfortunately, mathematical models are rarely built on the identified factors.Objective: To develop a model to predict the
Externí odkaz:
https://doaj.org/article/969e93d74edb4245aa64345353d90897