100 citations · 101 across the 4 of their papers we have counts for
6 papers
Music-Source-Separation-Training (MSST): A Unified Framework for Training and Evaluating Music Demixing Models
Roman Solovyev, Ilya Kiselev, Alexander Stempkovskiy +1
Music Source Separation (MSS), the task of recovering individual sound components (stems) from a polyphonic mixture, is central to applications ranging from karaoke and remixing to…
Classification of fetal compromise during labour: signal processing and feature engineering of the cardiotocograph
M. O'Sullivan, T. Gabruseva, G. Boylan +3
Cardiotocography (CTG) is the main tool used for fetal monitoring during labour. Interpretation of CTG requires dynamic pattern recognition in real time. It is recognised as a diff…
Fully convolutional Siamese neural networks for buildings damage assessment from satellite images
Eugene Khvedchenya, Tatiana Gabruseva
Damage assessment after natural disasters is needed to distribute aid and forces to recovery from damage dealt optimally. This process involves acquiring satellite imagery for the…
3D Convolutional Neural Networks for Stalled Brain Capillary Detection
Roman Solovyev, Alexandr A. Kalinin, Tatiana Gabruseva
Adequate blood supply is critical for normal brain function. Brain vasculature dysfunctions such as stalled blood flow in cerebral capillaries are associated with cognitive decline…
Deep Learning for Automatic Pneumonia Detection
Tatiana Gabruseva, Dmytro Poplavskiy, Alexandr A. Kalinin
Pneumonia is the leading cause of death among young children and one of the top mortality causes worldwide. The pneumonia detection is usually performed through examine of chest X-…
Photometric light curves classification with machine learning
Tatiana Gabruseva, Sergey Zlobin, Peter Wang
The Large Synoptic Survey Telescope will complete its survey in 2022 and produce terabytes of imaging data each night. To work with this massive onset of data, automated algorithms…