no code implementations • 29 Sep 2023 • Vladislav Dordiuk, Maksim Dzhigil, Konstantin Ushenin
In this study, we show the impact of weight symmetry in neural networks that perform 3D mesh segmentation.
no code implementations • 25 Aug 2023 • Nikita Markov, Konstantin Ushenin, Yakov Bozhko, Olga Solovyova
We achieved good classification results while learning on the full MIT-BIH Atrial Fibrillation database, close to the best specialized AF detection algorithms (avg.
1 code implementation • 6 Nov 2022 • Konstantin Ushenin, Maksim Dzhigil, Vladislav Dordiuk
In this paper, we propose a method of atlas generation using an implicit representation of 3D objects.
no code implementations • 17 Jul 2022 • Nikita Markov, Ilya Kotov, Konstantin Ushenin, Yakov Bozhko
In this study, we propose a statistical model that describes relationship between HRV indices in NSR and AF.
no code implementations • 17 Jul 2022 • Vladislav Dordiuk, Ekaterina Demicheva, Fernando Polanco Espino, Konstantin Ushenin
There are hundreds of methods for analysis of data obtained in mRNA-sequencing.
no code implementations • 13 Apr 2021 • Garnik Vareldzhan, Kirill Yurkov, Konstantin Ushenin
This paper provides an analysis of the proposed methods for the LeNet and EfficientNet-B0 on the MNIST and ImageNet-30 datasets.
no code implementations • 10 Dec 2019 • Marat Bogdanov, Salim Baigildin, Aygul Fabarisova, Konstantin Ushenin, Olga Solovyova
Machine learning shows great performance in various problems of electrocardiography (ECG) signal analysis.
no code implementations • 21 Nov 2019 • Konstantin Ushenin, Tatyana Nesterova, Dmitry Shmarko, Vladimir Sholokhov
A phase mapping is an approach to processing signals of electrograms recorded from the surface of cardiac tissue.
no code implementations • 15 Sep 2019 • Alexander Karimov, Artem Razumov, Ruslana Manbatchurina, Ksenia Simonova, Irina Donets, Anastasia Vlasova, Yulia Khramtsova, Konstantin Ushenin
In thepresent study, we analyzed the accuracy and performance ofUNet and ENet architectures for the problem of semantic imagesegmentation.