30 citations · 85 across the 11 of their papers we have counts for
13 papers
Multivariate Wasserstein Functional Connectivity for Autism Screening
Oleg Kachan, Alexander Bernstein
Most approaches to the estimation of brain functional connectivity from the functional magnetic resonance imaging (fMRI) data rely on computing some measure of statistical dependen…
Artificial Text Detection via Examining the Topology of Attention Maps
Laida Kushnareva, Daniil Cherniavskii, Vladislav Mikhailov +6
The impressive capabilities of recent generative models to create texts that are challenging to distinguish from the human-written ones can be misused for generating fake news, pro…
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…
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…
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…
Interpretation of 3D CNNs for Brain MRI Data Classification
Maxim Kan, Ruslan Aliev, Anna Rudenko +6
Deep learning shows high potential for many medical image analysis tasks. Neural networks can work with full-size data without extensive preprocessing and feature generation and, t…