Search Results for author:
Found 9 papers, 1 papers with code
Benefits of mirror weight symmetry for 3D mesh segmentation in biomedical applications
In this study, we show the impact of weight symmetry in neural networks that perform 3D mesh segmentation.
Compressor-Based Classification for Atrial Fibrillation Detection
We achieved good classification results while learning on the full MIT-BIH Atrial Fibrillation database, close to the best specialized AF detection algorithms (avg.
Computational anatomy atlas using multilayer perceptron with Lipschitz regularization
In this paper, we propose a method of atlas generation using an implicit representation of 3D objects.
Statistical model for describing heart rate variability in normal rhythm and atrial fibrillation
In this study, we propose a statistical model that describes relationship between HRV indices in NSR and AF.
Natural language processing for clusterization of genes according to their functions
There are hundreds of methods for analysis of data obtained in mRNA-sequencing.
Anomaly Detection in Image Datasets Using Convolutional Neural Networks, Center Loss, and Mahalanobis Distance
This paper provides an analysis of the proposed methods for the LeNet and EfficientNet-B0 on the MNIST and ImageNet-30 datasets.
Effects of lead position, cardiac rhythm variation and drug-induced QT prolongation on performance of machine learning methods for ECG processing
Machine learning shows great performance in various problems of electrocardiography (ECG) signal analysis.
Phase mapping for cardiac unipolar electrograms with neural network instead of phase transformation
A phase mapping is an approach to processing signals of electrograms recorded from the surface of cardiac tissue.
Comparison of UNet, ENet, and BoxENet for Segmentation of Mast Cells in Scans of Histological Slices
In thepresent study, we analyzed the accuracy and performance ofUNet and ENet architectures for the problem of semantic imagesegmentation.
