Ekaterina Kondrateva

Orcid: 0000-0003-3623-6106

According to our database1, Ekaterina Kondrateva authored at least 17 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Negligible effect of brain MRI data preprocessing for tumor segmentation.
Biomed. Signal Process. Control., 2024

2022
Neglectable effect of brain MRI data prepreprocessing for tumor segmentation.
CoRR, 2022

2021
BRATS2021: Exploring Each Sequence in Multi-modal Input for Baseline U-net Performance.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020
Convolutional neural networks for automatic detection of Focal Cortical Dysplasia.
CoRR, 2020

Domain Shift in Computer Vision models for MRI data analysis: An Overview.
CoRR, 2020

Interpretable Deep Learning for Pattern Recognition in Brain Differences Between Men and Women.
CoRR, 2020

Fader networks for domain adaptation on fMRI: ABIDE-II study.
Proceedings of the Thirteenth International Conference on Machine Vision, 2020

Domain shift in computer vision models for MRI data analysis: an overview.
Proceedings of the Thirteenth International Conference on Machine Vision, 2020

Interpretation of 3D CNNs for Brain MRI Data Classification.
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.
Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

Machine learning models reproducibility and validation for MR images recognition.
Proceedings of the Twelfth International Conference on Machine Vision, 2019

Topological data analysis in computer vision.
Proceedings of the Twelfth International Conference on Machine Vision, 2019

3D Deformable Convolutions for MRI Classification.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018
MRI brain imagery processing software in data analysis.
Trans. Mass Data Anal. Images Signals, 2018

Learning Connectivity Patterns via Graph Kernels for fMRI-Based Depression Diagnostics.
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.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2008
Beyond Brute Force: Testing Financial Software.
IT Prof., 2008


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