no code implementations • 29 Apr 2024 • Dmitrii Korzh, Elvir Karimov, Mikhail Pautov, Oleg Y. Rogov, Ivan Oseledets
In this paper, we pioneer applying robustness certification techniques to speaker recognition, originally developed for the image domain.
no code implementations • 14 Nov 2023 • Melaku N. Getahun, Oleg Y. Rogov, Dmitry V. Dylov, Andrey Somov, Ahmed Bouridane, Rifat Hamoudi
The proposed solution has been evaluated using the DRIVE, CHASE-DB1, and STARE datasets, and competitive results are obtained when compared with previous studies.
no code implementations • 24 Aug 2023 • Razan Dibo, Andrey Galichin, Pavel Astashev, Dmitry V. Dylov, Oleg Y. Rogov
In recent years, computer-aided diagnosis systems have shown great potential in assisting radiologists with accurate and efficient medical image analysis.
Ranked #4 on Object Detection on GRAZPEDWRI-DX
no code implementations • 28 Sep 2022 • Alexander Selivanov, Oleg Y. Rogov, Daniil Chesakov, Artem Shelmanov, Irina Fedulova, Dmitry V. Dylov
The proposed model is tested on two medical datasets, the Open-I, MIMIC-CXR, and the general-purpose MS-COCO.
no code implementations • 10 Mar 2022 • Ekaterina Kuzmina, Artem Razumov, Oleg Y. Rogov, Elfar Adalsteinsson, Jacob White, Dmitry V. Dylov
Image corruption by motion artifacts is an ingrained problem in Magnetic Resonance Imaging (MRI).
1 code implementation • 29 Aug 2021 • Anna Anikina, Oleg Y. Rogov, Dmitry V. Dylov
State-of-the-art object detection models are frequently trained offline using available datasets, such as ImageNet: large and overly diverse data that are unbalanced and hard to cluster semantically.
1 code implementation • 10 Aug 2021 • Artem Razumov, Oleg Y. Rogov, Dmitry V. Dylov
To accelerate MRI, the field of compressed sensing is traditionally concerned with optimizing the image quality after a partial undersampling of the measurable $\textit{k}$-space.