Hydrocephalus verification on brain magnetic resonance images with deep convolutional neural networks and "transfer learning" technique. - Alexey Demyanchuk; Ekaterina Pushkina; Nikolay Russkikh; Dmitry Shtokalo; Sergey Mishinov (CoRR, 2019)

Style transfer with variational autoencoders is a promising approach to RNA-Seq data harmonization and analysis. - Nikolay Russkikh; Denis V. Antonets; Dmitry Shtokalo; Alexander Makarov; Yuri Vyatkin; Alexey Zakharov; Evgeny Terentyev (Bioinform., 2020)

CellCountCV - A Web-Application for Accurate Cell Counting and Automated Batch Processing of Microscopic Images Using Fully Convolutional Neural Networks. - Denis V. Antonets; Nikolay Russkikh; Antoine Sanchez; Victoria Kovalenko; Elvira Bairamova; Dmitry Shtokalo; Sergey Medvedev; Suren Zakian (Sensors, 2020)

Multimodal single cell data integration challenge: Results and lessons learned. - Christopher Lance; Malte D. Lücken; Daniel B. Burkhardt; Robrecht Cannoodt; Pia Rautenstrauch; Anna Laddach; Aidyn Ubingazhibov; Zhi-Jie Cao; Kaiwen Deng; Sumeer Khan; Qiao Liu 008; Nikolay Russkikh; et al. (NeurIPS (Competition and Demos), 2021)