Ekaterina Kondrateva

22 papers C 5Journal 11Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Benchmarking the Reproducibility of Brain MRI Segmentation Across Scanners and Time.
CoRR
Ekaterina Kondrateva, Sandzhi Barg, Mikhail Vasiliev
2024 J jnl
Negligible effect of brain MRI data preprocessing for tumor segmentation.
Biomed. Signal Process. Control.
Ekaterina Kondrateva, Polina Druzhinina, Alexandra Dalechina, Svetlana Zolotova, Andrey Golanov, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov
2022 J jnl
Neglectable effect of brain MRI data prepreprocessing for tumor segmentation.
CoRR
Ekaterina Kondrateva, Polina Druzhinina, Alexandra Dalechina, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov
2021 — conf
BRATS2021: Exploring Each Sequence in Multi-modal Input for Baseline U-net Performance.
BrainLes@MICCAI (1)
Polina Druzhinina, Ekaterina Kondrateva, Arseny Bozhenko, Vyacheslav Yarkin, Maxim Sharaev, Anvar Kurmukov
2020 J jnl
Convolutional neural networks for automatic detection of Focal Cortical Dysplasia.
CoRR
Ruslan Aliev, Ekaterina Kondrateva, Maxim Sharaev, Oleg Bronov, Alexey Marinets, Sergey Subbotin, Alexander Bernstein, Evgeny Burnaev
2020 J jnl
Domain Shift in Computer Vision models for MRI data analysis: An Overview.
CoRR
Ekaterina Kondrateva, Marina Pominova, Elena Popova, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
2020 C conf
Domain shift in computer vision models for MRI data analysis: an overview.
ICMV
Ekaterina Kondrateva, Marina Pominova, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
2020 J jnl
Fader Networks for domain adaptation on fMRI: ABIDE-II study.
CoRR
Marina Pominova, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
2020 C conf
Fader networks for domain adaptation on fMRI: ABIDE-II study.
ICMV
Marina Pominova, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
2020 J jnl
Interpretable Deep Learning for Pattern Recognition in Brain Differences Between Men and Women.
CoRR
Maxim Kan, Ruslan Aliev, Anna Rudenko, Nikita Drobyshev, Nikita Petrashen, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
2020 — conf
Interpretation of 3D CNNs for Brain MRI Data Classification.
AIST (Supplement)
Maxim Kan, Ruslan Aliev, Anna Rudenko, Nikita Drobyshev, Nikita Petrashen, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
2019 C conf
3D Deformable Convolutions for MRI Classification.
ICMLA
Marina Pominova, Ekaterina Kondrateva, Maksim Sharaev, Alexander Bernstein, Sergey Pavlov, Evgeny Burnaev
2019 J jnl
3D Deformable Convolutions for MRI classification.
CoRR
Marina Pominova, Ekaterina Kondrateva, Maksim Sharaev, Sergey Pavlov, Alexander Bernstein, Evgeny Burnaev
2019 — conf
Ensemble of 3D CNN Regressors with Data Fusion for Fluid Intelligence Prediction.
ABCD-NP@MICCAI
Marina Pominova, Anna Kuzina, Ekaterina Kondrateva, Svetlana Sushchinskaya, Evgeny Burnaev, Vyacheslav Yarkin, Maxim Sharaev
2019 J jnl
Ensemble of 3D CNN regressors with data fusion for fluid intelligence prediction.
CoRR
Marina Pominova, Anna Kuzina, Ekaterina Kondrateva, Svetlana Sushchinskaya, Maxim Sharaev, Evgeny Burnaev, Vyacheslav Yarkin
2019 C conf
Machine learning models reproducibility and validation for MR images recognition.
ICMV
Ekaterina Kondrateva, Polina Belozerova, Maxim Sharaev, Evgeny Burnaev, Alexander Bernstein, Irina Samotaeva
2019 C conf
Topological data analysis in computer vision.
ICMV
Alexander Bernstein, Eugeny Burnaev, Maxim Sharaev, Ekaterina Kondrateva, Oleg Kachan
2018 — conf
Learning Connectivity Patterns via Graph Kernels for fMRI-Based Depression Diagnostics.
ICDM Workshops
Maksim Sharaev, Alexey Artemov, Ekaterina Kondrateva, Sergei Ivanov, Svetlana Sushchinskaya, Alexander Bernstein, Andrzej Cichocki, Evgeny Burnaev
2018 — conf
MRI brain imagery processing software in data analysis.
MDA
Alexander Bernstein, Renat Akzhigitov, Ekaterina Kondrateva, Svetlana Sushchinskaya, Irina Samotaeva, Vladislav Gaskin
2018 J jnl
MRI brain imagery processing software in data analysis.
Trans. Mass Data Anal. Images Signals
Alexander Bernstein, Renat Akzhigitov, Ekaterina Kondrateva, Svetlana Sushchinskaya, Irina Samotaeva, Vladislav Gaskin
2018 — conf
Voxelwise 3D Convolutional and Recurrent Neural Networks for Epilepsy and Depression Diagnostics from Structural and Functional MRI Data.
ICDM Workshops
Marina Pominova, Alexey Artemov, Maksim Sharaev, Ekaterina Kondrateva, Alexander Bernstein, Evgeny Burnaev
2008 J jnl
Beyond Brute Force: Testing Financial Software.
IT Prof.
Mikhail Kharlamov, Alexey Polovinkin, Ekaterina Kondrateva, Alexey Lobachev