Egor Krivov

MRI Augmentation via Elastic Registration for Brain Lesions Segmentation

Egor Krivov, Maxim Pisov, Mikhail Belyaev, 2017, BrainLes@MICCAI.

The comparison of automatic artifact removal methods with robust classification strategies in terms of EEG classification accuracy

Egor Krivov, Mikhail Belyaev, Pavel Merinov, 2015, 2015 International Conference on Biomedical Engineering and Computational Technologies (SIBIRCON).

It doesn't take a whole U-Net to find brain tumors: towards fast brain metastasis segmentation with sparse predictions

Egor Krivov, Mikhail Belyaev, 2018 .

Filter bank extension for neural network-based motor imagery classification

Egor Krivov, Mikhail Belyaev, Pavel Merinov, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

Tumor Delineation For Brain Radiosurgery by a ConvNet and Non-Uniform Patch Generation

Egor Krivov, Mikhail Belyaev, Alexandra Dalechina, 2018, Patch-MI@MICCAI.

Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation

Egor Krivov, Mikhail Belyaev, Alexey Shevtsov, 2019, BrainLes@MICCAI.

Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation

Anvar Kurmukov, Egor Krivov, Mikhail Belyaev, 2020, MICCAI.

Ensembling Neural Networks for Digital Pathology Images Classification and Segmentation pdf

Egor Krivov, Maxim Pisov, Mikhail Belyaev, 2018, ICIAR.

Accelerating 3D Medical Image Segmentation by Adaptive Small-Scale Target Localization

Egor Krivov, Mikhail Belyaev, Victor Gombolevskiy, 2021, J. Imaging.

Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application pdf

Egor Krivov, Mikhail Belyaev, Alexandra Dalechina, 2021, ArXiv.

Dimensionality reduction with isomap algorithm for EEG covariance matrices

Egor Krivov, Mikhail Belyaev, Egor Krivov, 2016, 2016 4th International Winter Conference on Brain-Computer Interface (BCI).