output
20192022
most citedAnomaly Detection in Image Datasets Using Convolutional Neural Networks, Center Loss, and Mahalanobis Distance

8 citations

6 papers

q-bio.TO2022

Computational anatomy atlas using multilayer perceptron with Lipschitz regularization

Konstantin Ushenin, Maksim Dzhigil, Vladislav Dordiuk

A computational anatomy atlas is a set of internal organ geometries. It is based on data of real patients and complemented with virtual cases by using a some numerical approach. At…

stat.AP2022

Statistical model for describing heart rate variability in normal rhythm and atrial fibrillation

Nikita Markov, Ilya Kotov, Konstantin Ushenin +1

Heart rate variability (HRV) indices describe properties of interbeat intervals in electrocardiogram (ECG). Usually HRV is measured exclusively in normal sinus rhythm (NSR) excludi…

cs.CL2022

Natural language processing for clusterization of genes according to their functions

Vladislav Dordiuk, Ekaterina Demicheva, Fernando Polanco Espino +1

There are hundreds of methods for analysis of data obtained in mRNA-sequencing. The most of them are focused on small number of genes. In this study, we propose an approach that re…

cs.CV2021★ 8 cited

Anomaly Detection in Image Datasets Using Convolutional Neural Networks, Center Loss, and Mahalanobis Distance

Garnik Vareldzhan, Kirill Yurkov, Konstantin Ushenin

User activities generate a significant number of poor-quality or irrelevant images and data vectors that cannot be processed in the main data processing pipeline or included in the…

eess.SP2019★ 1 cited

Effects of lead position, cardiac rhythm variation and drug-induced QT prolongation on performance of machine learning methods for ECG processing

Marat Bogdanov, Salim Baigildin, Aygul Fabarisova +2

Machine learning shows great performance in various problems of electrocardiography (ECG) signal analysis. However, collecting a dataset for biomedical engineering is a very diffic…

eess.SP2019

Phase mapping for cardiac unipolar electrograms with neural network instead of phase transformation

Konstantin Ushenin, Tatyana Nesterova, Dmitry Shmarko +1

A phase mapping is an approach to processing signals of electrograms recorded from the surface of cardiac tissue. The main concept of phase mapping is the application of the phase…