Dimensionality reduction with isomap algorithm for EEG covariance matrices. - Egor Krivov; Mikhail Belyaev (BCI, 2016)

Filter bank extension for neural network-based motor imagery classification. - Pavel Merinov; Mikhail Belyaev; Egor Krivov (MLSP, 2016)

MRI Augmentation via Elastic Registration for Brain Lesions Segmentation. - Egor Krivov; Maxim Pisov; Mikhail Belyaev (BrainLes@MICCAI, 2017)

Ensembling Neural Networks for Digital Pathology Images Classification and Segmentation. - Artem Pimkin; Gleb Makarchuk; Vladimir Kondratenko; Maxim Pisov; Egor Krivov; Mikhail Belyaev (ICIAR, 2018)

Tumor Delineation for Brain Radiosurgery by a ConvNet and Non-uniform Patch Generation. - Egor Krivov; Valery Kostjuchenko; Alexandra Dalechina; Boris Shirokikh; Gleb Makarchuk; Alexander Denisenko; Andrey Golanov; Mikhail Belyaev (Patch-MI@MICCAI, 2018)

Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation. - Boris Shirokikh; Alexandra Dalechina; Alexey Shevtsov; Egor Krivov; Valery Kostjuchenko; Amayak Durgaryan; Mikhail Galkin 002; Ivan Osinov; Andrey Golanov; Mikhail Belyaev (BrainLes@MICCAI (1), 2019)

Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation. - Boris Shirokikh; Alexey Shevtsov; Anvar Kurmukov; Alexandra Dalechina; Egor Krivov; Valery Kostjuchenko; Andrey Golanov; Mikhail Belyaev (MICCAI (4), 2020)

Accelerating 3D Medical Image Segmentation by Adaptive Small-Scale Target Localization. - Boris Shirokikh; Alexey Shevtsov; Alexandra Dalechina; Egor Krivov; Valery Kostjuchenko; Andrey Golanov; Victor Gombolevskiy; Sergey Morozov 002; Mikhail Belyaev (J. Imaging, 2021)

Systematic Clinical Evaluation of a Deep Learning Method for Medical Image Segmentation: Radiosurgery Application. - Boris Shirokikh; Alexandra Dalechina; Alexey Shevtsov; Egor Krivov; Valery Kostjuchenko; Amayak Durgaryan; Mikhail Galkin 002; Andrey Golanov; Mikhail Belyaev (IEEE J. Biomed. Health Informatics, 2022)