Ekaterina Kondrateva

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 20

Top Topics

Machine Learning

Convolutional Neural Networks

Top Venues

Biomed. Signal Process. Control.

Publications

Ekaterina Kondrateva, Polina Druzhinina, Alexandra Dalechina, Svetlana Zolotova, Andrey Golanov, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov
Negligible effect of brain MRI data preprocessing for tumor segmentation. Biomed. Signal Process. Control. 96 (2024)
Ekaterina Kondrateva, Polina Druzhinina, Alexandra Dalechina, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov
Neglectable effect of brain MRI data prepreprocessing for tumor segmentation. CoRR (2022)
Polina Druzhinina, Ekaterina Kondrateva, Arseny Bozhenko, Vyacheslav Yarkin, Maxim Sharaev, Anvar Kurmukov
BRATS2021: Exploring Each Sequence in Multi-modal Input for Baseline U-net Performance. BrainLes@MICCAI (1) (2021)
Ruslan Aliev, Ekaterina Kondrateva, Maxim Sharaev, Oleg Bronov, Alexey Marinets, Sergey A. Subbotin, Alexander Bernstein, Evgeny Burnaev
Convolutional neural networks for automatic detection of Focal Cortical Dysplasia. CoRR (2020)
Marina Pominova, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
Fader networks for domain adaptation on fMRI: ABIDE-II study. ICMV (2020)
Maxim Kan, Ruslan Aliev, Anna Rudenko, Nikita Drobyshev, Nikita Petrashen, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
Interpretation of 3D CNNs for Brain MRI Data Classification. AIST (Supplement) (2020)
Ekaterina Kondrateva, Marina Pominova, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
Domain shift in computer vision models for MRI data analysis: an overview. ICMV (2020)
Marina Pominova, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
Fader Networks for domain adaptation on fMRI: ABIDE-II study. CoRR (2020)
Maxim Kan, Ruslan Aliev, Anna Rudenko, Nikita Drobyshev, Nikita Petrashen, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
Interpretable Deep Learning for Pattern Recognition in Brain Differences Between Men and Women. CoRR (2020)
Ekaterina Kondrateva, Marina Pominova, Elena Popova, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
Domain Shift in Computer Vision models for MRI data analysis: An Overview. CoRR (2020)
Marina Pominova, Anna Kuzina, Ekaterina Kondrateva, Svetlana Sushchinskaya, Maxim Sharaev, Evgeny Burnaev, Vyacheslav Yarkin
Ensemble of 3D CNN regressors with data fusion for fluid intelligence prediction. CoRR (2019)
Alexander Bernstein, Eugeny Burnaev, Maxim Sharaev, Ekaterina Kondrateva, Oleg Kachan
Topological data analysis in computer vision. ICMV (2019)
Marina Pominova, Ekaterina Kondrateva, Maksim Sharaev, Sergey Pavlov, Alexander Bernstein, Evgeny Burnaev
3D Deformable Convolutions for MRI classification. CoRR (2019)
Ekaterina Kondrateva, Polina Belozerova, Maxim Sharaev, Evgeny Burnaev, Alexander Bernstein, Irina Samotaeva
Machine learning models reproducibility and validation for MR images recognition. ICMV (2019)
Marina Pominova, Anna Kuzina, Ekaterina Kondrateva, Svetlana Sushchinskaya, Evgeny Burnaev, Vyacheslav Yarkin, Maxim Sharaev
Ensemble of 3D CNN Regressors with Data Fusion for Fluid Intelligence Prediction. ABCD-NP@MICCAI (2019)
Marina Pominova, Ekaterina Kondrateva, Maksim Sharaev, Alexander Bernstein, Sergey Pavlov, Evgeny Burnaev
3D Deformable Convolutions for MRI Classification. ICMLA (2019)
Marina Pominova, Alexey Artemov, Maksim Sharaev, Ekaterina Kondrateva, Alexander Bernstein, Evgeny Burnaev
Voxelwise 3D Convolutional and Recurrent Neural Networks for Epilepsy and Depression Diagnostics from Structural and Functional MRI Data. ICDM Workshops (2018)
Alexander Bernstein, Renat Akzhigitov, Ekaterina Kondrateva, Svetlana Sushchinskaya, Irina Samotaeva, Vladislav Gaskin
MRI brain imagery processing software in data analysis. MDA (2018)
Maksim Sharaev, Alexey Artemov, Ekaterina Kondrateva, Sergei Ivanov, Svetlana Sushchinskaya, Alexander Bernstein, Andrzej Cichocki, Evgeny Burnaev
Learning Connectivity Patterns via Graph Kernels for fMRI-Based Depression Diagnostics. ICDM Workshops (2018)
Alexander Bernstein, Renat Akzhigitov, Ekaterina Kondrateva, Svetlana Sushchinskaya, Irina Samotaeva, Vladislav Gaskin
MRI brain imagery processing software in data analysis. Trans. Mass Data Anal. Images Signals 9 (1) (2018)
Mikhail Kharlamov, Alexey Polovinkin, Ekaterina Kondrateva, Alexey Lobachev
Beyond Brute Force: Testing Financial Software. IT Prof. 10 (3) (2008)