Zobrazeno 1 - 10
of 170
pro vyhledávání: '"Kudaibergen, A. A."'
Autor:
Abutalip, Kudaibergen, Saeed, Numan, Sobirov, Ikboljon, Andrearczyk, Vincent, Depeursinge, Adrien, Yaqub, Mohammad
Deploying deep learning (DL) models in medical applications relies on predictive performance and other critical factors, such as conveying trustworthy predictive uncertainty. Uncertainty estimation (UE) methods provide potential solutions for evaluat
Externí odkaz:
http://arxiv.org/abs/2403.16594
Variability in staining protocols, such as different slide preparation techniques, chemicals, and scanner configurations, can result in a diverse set of whole slide images (WSIs). This distribution shift can negatively impact the performance of deep
Externí odkaz:
http://arxiv.org/abs/2304.11445
Autor:
Damirbek Abibillaev, Aida Baatyrbekova, Fuat Kocyigit, Sergei Petrovsky, Andrey Polubabkin, Aisanam Abdurasulova, Kudaibergen Osmonaliev, Ryskul Kydyralieva, Taalaibek Kudaiberdiev
Publikováno v:
Heart Vessels and Transplantation, Vol 8, Iss 4 (2024)
Objective: Athletic heart syndrome (AHS) represents a physiological and morphological adaptation of the heart to long-standing intensive training. Left ventricular (LV) chamber sizes are primarily affected by the complex interplay of sports-associate
Externí odkaz:
https://doaj.org/article/55c9ed8523bd45b2b20ecce9f483485a
Glioblastoma is a common brain malignancy that tends to occur in older adults and is almost always lethal. The effectiveness of chemotherapy, being the standard treatment for most cancer types, can be improved if a particular genetic sequence in the
Externí odkaz:
http://arxiv.org/abs/2201.06086
Autor:
Damirbek Abibillaev, Elmira Tukusheva, Akmaral Kurmanbekova, Begaiym Ulugbekova, Raushan Barakanova, Taalaibek Kudaiberdiev, Zhumagul Tashbolot kyzy, Kubra Abdulbakioglu, Azizakan Rakhmanova, Aidina Kazymbek, Kudaibergen Osmonaliev
Publikováno v:
Heart Vessels and Transplantation, Vol 8, Iss 2 (2024)
Objective: The COVID-19 pandemic has raised concerns about its impact on patients with congenital heart disease (CHD) with left-to-right shunting. We hypothesized that the pandemic, particularly its long-term sequelae known as Post-Acute Sequelae of
Externí odkaz:
https://doaj.org/article/b798251bd4a4435da08f461bae144d71
Autor:
Aliya Atepileva, Vyacheslav Ogay, Gulshahar Kudaibergen, Guldarigash Kaukabaeva, Assiya Nurkina, Ainur Mukhambetova, Serik Balgazarov, Arman Batpen, Dina Saginova, Zhanatay Ramazanov, Amanzhol Balgazarov, Zhanar Akhmetkarimova
Publikováno v:
Biomedicines, Vol 12, Iss 9, p 2122 (2024)
Chronic wounds complicated by infection pose significant clinical challenges, necessitating comprehensive treatment approaches. The widespread use of antibiotics has led to resistant microorganisms, complicating traditional therapies. This study aims
Externí odkaz:
https://doaj.org/article/d23723c9e6d443c5a539fca381c28df6
Autor:
Kudaibergen, Gulshakhar1 (AUTHOR) kudaibergen@biocenter.kz, Mukhlis, Sholpan1 (AUTHOR) muhlis@biocenter.kz, Mukhambetova, Ainur1 (AUTHOR) mukhambetova@biocenter.kz, Issabekova, Assel1 (AUTHOR) issabekova@biocenter.kz, Sekenova, Aliya1 (AUTHOR) a.sekenova@biocenter.kz, Sarsenova, Madina1 (AUTHOR) sarsenova@biocenter.kz, Temirzhan, Abay2 (AUTHOR) abaytemirzhan@gmail.com, Baidarbekov, Murat2 (AUTHOR) b.m.u.80@mail.ru, Umbayev, Baurzhan3 (AUTHOR) bauyrzhan.umbayev@nu.edu.kz, Ogay, Vyacheslav1,2 (AUTHOR) ogay@biocenter.kz
Publikováno v:
Bioengineering (Basel). May2024, Vol. 11 Issue 5, p437. 12p.
Autor:
Naushad Ahmad Khan, Mohammad Asim, Kabir H. Biswas, Amani N Alansari, Harman Saman, Mohammad Zahid Sarwar, Kudaibergen Osmonaliev, Shahab Uddin
Publikováno v:
Journal of Experimental & Clinical Cancer Research, Vol 42, Iss 1, Pp 1-35 (2023)
Abstract Lung cancer remains the leading cause of cancer-related deaths globally, and the survival rate remains low despite advances in diagnosis and treatment. The progression of lung cancer is a multifaceted and dynamic phenomenon that encompasses
Externí odkaz:
https://doaj.org/article/6be352521fc7416ab3befa2756817beb
Autor:
Urinbayev, Kudaibergen, Orazbek, Yerassyl, Nurambek, Yernur, Mirzakhmetov, Almas, Varol, Huseyin Atakan
In this work, we present an end-to-end deep learning framework for X-ray image diagnosis. As the first step, our system determines whether a submitted image is an X-ray or not. After it classifies the type of the X-ray, it runs the dedicated abnormal
Externí odkaz:
http://arxiv.org/abs/2003.08605
Autor:
A.D. Kudaibergen, Zh.B. Kuspanov, A.N. Issadykov, R.E. Beisenov, Z.A. Mansurov, M.A. Yeleuov, Ch.B. Daulbayev
Publikováno v:
Eurasian Chemico-Technological Journal, Vol 25, Iss 3 (2023)
SrTiO3-based photocatalysts have become widely used due to their excellent properties such as high thermal stability, photocorrosion resistance, and stable structure that can be modified by doping and making composites. In this work, SrTiO3 powder wa
Externí odkaz:
https://doaj.org/article/43dc17925ab44eaeacffbfe05feccb6d