14 citations · 28 across the 9 of their papers we have counts for
3 papers · 1 filter
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…
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…
Comparison of UNet, ENet, and BoxENet for Segmentation of Mast Cells in Scans of Histological Slices
Alexander Karimov, Artem Razumov, Ruslana Manbatchurina +5
Deep neural networks show high accuracy in theproblem of semantic and instance segmentation of biomedicaldata. However, this approach is computationally expensive. Thecomputational…