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20122022
most citedTangent Bundle Manifold Learning via Grassmann&Stiefel Eigenmaps

27 citations · 53 across the 5 of their papers we have counts for

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eess.IV2020

Convolutional neural networks for automatic detection of Focal Cortical Dysplasia

Ruslan Aliev, Ekaterina Kondrateva, Maxim Sharaev +5

Focal cortical dysplasia (FCD) is one of the most common epileptogenic lesions associated with cortical development malformations. However, the accurate detection of the FCD relies…

eess.IV2020

Fader Networks for domain adaptation on fMRI: ABIDE-II study

Marina Pominova, Ekaterina Kondrateva, Maxim Sharaev +2

ABIDE is the largest open-source autism spectrum disorder database with both fMRI data and full phenotype description. These data were extensively studied based on functional conne…

eess.IV2020

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

Ekaterina Kondrateva, Marina Pominova, Elena Popova +3

Machine learning and computer vision methods are showing good performance in medical imagery analysis. Yetonly a few applications are now in clinical use and one of the reasons for…

eess.IV2019

Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem

Sergey Pavlov, Alexey Artemov, Maksim Sharaev +2

Segmentation of tumors in brain MRI images is a challenging task, where most recent methods demand large volumes of data with pixel-level annotations, which are generally costly to…

eess.IV2019

3D Deformable Convolutions for MRI classification

Marina Pominova, Ekaterina Kondrateva, Maksim Sharaev +3

Deep learning convolutional neural networks have proved to be a powerful tool for MRI analysis. In current work, we explore the potential of the deformable convolutional deep neura…