Egor Krivov

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 14

Top Topics

Brain Tumor Segmentation

Medical Image Segmentation

Dimensionality Reduction

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Boris Shirokikh, Alexandra Dalechina, Alexey Shevtsov, Egor Krivov, Valery Kostjuchenko, Amayak Durgaryan, Mikhail Galkin, Andrey Golanov, Mikhail Belyaev
Systematic Clinical Evaluation of a Deep Learning Method for Medical Image Segmentation: Radiosurgery Application. IEEE J. Biomed. Health Informatics 26 (7) (2022)
Boris Shirokikh, Alexandra Dalechina, Alexey Shevtsov, Egor Krivov, Valery Kostjuchenko, Amayak Durgaryan, Mikhail Galkin, Andrey Golanov, Mikhail Belyaev
Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application. CoRR (2021)
Boris Shirokikh, Alexey Shevtsov, Alexandra Dalechina, Egor Krivov, Valery Kostjuchenko, Andrey Golanov, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev
Accelerating 3D Medical Image Segmentation by Adaptive Small-Scale Target Localization. J. Imaging 7 (2) (2021)
Boris Shirokikh, Alexey Shevtsov, Anvar Kurmukov, Alexandra Dalechina, Egor Krivov, Valery Kostjuchenko, Andrey Golanov, Mikhail Belyaev
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation. CoRR (2020)
Boris Shirokikh, Alexey Shevtsov, Anvar Kurmukov, Alexandra Dalechina, Egor Krivov, Valery Kostjuchenko, Andrey Golanov, Mikhail Belyaev
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation. MICCAI (4) (2020)
Boris Shirokikh, Alexandra Dalechina, Alexey Shevtsov, Egor Krivov, Valery Kostjuchenko, Amayak Durgaryan, Mikhail Galkin, Ivan Osinov, Andrey Golanov, Mikhail Belyaev
Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation. BrainLes@MICCAI (1) (2019)
Boris Shirokikh, Alexandra Dalechina, Alexey Shevtsov, Egor Krivov, Valery Kostjuchenko, Amayak Durgaryan, Mikhail Galkin, Ivan Osinov, Andrey Golanov, Mikhail Belyaev
Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation. CoRR (2019)
Gleb Makarchuk, Vladimir Kondratenko, Maxim Pisov, Artem Pimkin, Egor Krivov, Mikhail Belyaev
Ensembling Neural Networks for Digital Pathology Images Classification and Segmentation. CoRR (2018)
Egor Krivov, Valery Kostjuchenko, Alexandra Dalechina, Boris Shirokikh, Gleb Makarchuk, Alexander Denisenko, Andrey Golanov, Mikhail Belyaev
Tumor Delineation For Brain Radiosurgery by a ConvNet and Non-Uniform Patch Generation. CoRR (2018)
Egor Krivov, Valery Kostjuchenko, Alexandra Dalechina, Boris Shirokikh, Gleb Makarchuk, Alexander Denisenko, Andrey Golanov, Mikhail Belyaev
Tumor Delineation for Brain Radiosurgery by a ConvNet and Non-uniform Patch Generation. Patch-MI@MICCAI (2018)
Artem Pimkin, Gleb Makarchuk, Vladimir Kondratenko, Maxim Pisov, Egor Krivov, Mikhail Belyaev
Ensembling Neural Networks for Digital Pathology Images Classification and Segmentation. ICIAR (2018)
Egor Krivov, Maxim Pisov, Mikhail Belyaev
MRI Augmentation via Elastic Registration for Brain Lesions Segmentation. BrainLes@MICCAI (2017)
Egor Krivov, Mikhail Belyaev
Dimensionality reduction with isomap algorithm for EEG covariance matrices. BCI (2016)
Pavel Merinov, Mikhail Belyaev, Egor Krivov
Filter bank extension for neural network-based motor imagery classification. MLSP (2016)