Beyond Brute Force: Testing Financial Software. - Mikhail Kharlamov; Alexey Polovinkin; Ekaterina Kondrateva; Alexey Lobachev (IT Prof., 2008)

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 (ICDM Workshops, 2018)

Learning Connectivity Patterns via Graph Kernels for fMRI-Based Depression Diagnostics. - Maksim Sharaev; Alexey Artemov; Ekaterina Kondrateva; Sergei Ivanov 002; Svetlana Sushchinskaya; Alexander Bernstein; Andrzej Cichocki; Evgeny Burnaev (ICDM Workshops, 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)

3D Deformable Convolutions for MRI Classification. - Marina Pominova; Ekaterina Kondrateva; Maksim Sharaev; Alexander Bernstein; Sergey Pavlov; Evgeny Burnaev (ICMLA, 2019)

Topological data analysis in computer vision. - Alexander Bernstein; Eugeny Burnaev; Maxim Sharaev; Ekaterina Kondrateva; Oleg Kachan (ICMV, 2019)

Machine learning models reproducibility and validation for MR images recognition. - Ekaterina Kondrateva; Polina Belozerova; Maxim Sharaev; Evgeny Burnaev; Alexander Bernstein; Irina Samotaeva (ICMV, 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 (ABCD-NP@MICCAI, 2019)

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 (AIST (Supplement), 2020)

Domain shift in computer vision models for MRI data analysis: an overview. - Ekaterina Kondrateva; Marina Pominova; Maxim Sharaev; Alexander Bernstein; Evgeny Burnaev (ICMV, 2020)

Fader networks for domain adaptation on fMRI: ABIDE-II study. - Marina Pominova; Ekaterina Kondrateva; Maxim Sharaev; Alexander Bernstein; Evgeny Burnaev (ICMV, 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)

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)

Convolutional neural networks for automatic detection of Focal Cortical Dysplasia. - Ruslan Aliev; Ekaterina Kondrateva; Maxim Sharaev; Oleg Bronov; Alexey Marinets; Sergey Subbotin 002; Alexander Bernstein; Evgeny Burnaev (CoRR, 2020)

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 (BrainLes@MICCAI (1), 2021)

Neglectable effect of brain MRI data prepreprocessing for tumor segmentation. - Ekaterina Kondrateva; Polina Druzhinina; Alexandra Dalechina; Boris Shirokikh; Mikhail Belyaev; Anvar Kurmukov (CoRR, 2022)

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)

Benchmarking the Reproducibility of Brain MRI Segmentation Across Scanners and Time. - Ekaterina Kondrateva; Sandzhi Barg; Mikhail Vasiliev (CoRR, 2025)