Ekaterina Kondrateva

According to our database, Ekaterina Kondrateva authored at least 17 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Negligible effect of brain MRI data preprocessing for tumor segmentation.

Ekaterina Kondrateva, Polina Druzhinina, Alexandra Dalechina, Svetlana Zolotova, Andrey Golanov, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov

Biomed. Signal Process. Control., 2024

2022

Neglectable effect of brain MRI data prepreprocessing for tumor segmentation.

Ekaterina Kondrateva, Polina Druzhinina, Alexandra Dalechina, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov

CoRR, 2022

2021

BRATS2021: Exploring Each Sequence in Multi-modal Input for Baseline U-net Performance.

Polina Druzhinina, Ekaterina Kondrateva, Arseny Bozhenko, Vyacheslav Yarkin, Maxim Sharaev, Anvar Kurmukov

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

Convolutional neural networks for automatic detection of Focal Cortical Dysplasia.

Ruslan Aliev, Ekaterina Kondrateva, Maxim Sharaev, Oleg Bronov, Alexey Marinets, Sergey Subbotin, Alexander Bernstein, Evgeny Burnaev

CoRR, 2020

Domain Shift in Computer Vision models for MRI data analysis: An Overview.

Ekaterina Kondrateva, Marina Pominova, Elena Popova, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev

CoRR, 2020

Interpretable Deep Learning for Pattern Recognition in Brain Differences Between Men and Women.

Maxim Kan, Ruslan Aliev, Anna Rudenko, Nikita Drobyshev, Nikita Petrashen, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev

CoRR, 2020

Fader networks for domain adaptation on fMRI: ABIDE-II study.

Marina Pominova, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev

Proceedings of the Thirteenth International Conference on Machine Vision, 2020

Domain shift in computer vision models for MRI data analysis: an overview.

Ekaterina Kondrateva, Marina Pominova, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev

Proceedings of the Thirteenth International Conference on Machine Vision, 2020

Interpretation of 3D CNNs for Brain MRI Data Classification.

Maxim Kan, Ruslan Aliev, Anna Rudenko, Nikita Drobyshev, Nikita Petrashen, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev

Proceedings of the Recent Trends in Analysis of Images, Social Networks and Texts, 2020

2019

Ensemble of 3D CNN Regressors with Data Fusion for Fluid Intelligence Prediction.

Marina Pominova, Anna Kuzina, Ekaterina Kondrateva, Svetlana Sushchinskaya, Evgeny Burnaev, Vyacheslav Yarkin, Maxim Sharaev

Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

Machine learning models reproducibility and validation for MR images recognition.

Ekaterina Kondrateva, Polina Belozerova, Maxim Sharaev, Evgeny Burnaev, Alexander Bernstein, Irina Samotaeva

Proceedings of the Twelfth International Conference on Machine Vision, 2019

Topological data analysis in computer vision.

Alexander Bernstein, Eugeny Burnaev, Maxim Sharaev, Ekaterina Kondrateva, Oleg Kachan

Proceedings of the Twelfth International Conference on Machine Vision, 2019

3D Deformable Convolutions for MRI Classification.

Marina Pominova, Ekaterina Kondrateva, Maksim Sharaev, Alexander Bernstein, Sergey Pavlov, Evgeny Burnaev

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018

MRI brain imagery processing software in data analysis.

Alexander Bernstein, Renat Akzhigitov, Ekaterina Kondrateva, Svetlana Sushchinskaya, Irina Samotaeva, Vladislav Gaskin

Trans. Mass Data Anal. Images Signals, 2018

Learning Connectivity Patterns via Graph Kernels for fMRI-Based Depression Diagnostics.

Maksim Sharaev, Alexey Artemov, Ekaterina Kondrateva, Sergei Ivanov, Svetlana Sushchinskaya, Alexander Bernstein, Andrzej Cichocki, Evgeny Burnaev

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Voxelwise 3D Convolutional and Recurrent Neural Networks for Epilepsy and Depression Diagnostics from Structural and Functional MRI Data.

Marina Pominova, Alexey Artemov, Maksim Sharaev, Ekaterina Kondrateva, Alexander Bernstein, Evgeny Burnaev

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2008

Beyond Brute Force: Testing Financial Software.

Mikhail Kharlamov, Alexey Polovinkin, Ekaterina Kondrateva, Alexey Lobachev

IT Prof., 2008