Regina Deák-Meszlényi
Regina Deák-Meszlényi
Research fellow at Brain Imaging Centre, RCNS-HAS
Verified email at ttk.mta.hu
Title
Cited by
Cited by
Year
Resting state fMRI functional connectivity-based classification using a convolutional neural network architecture
RJ Meszlényi, K Buza, Z Vidnyánszky
Frontiers in neuroinformatics 11, 61, 2017
812017
Resting state fMRI functional connectivity analysis using dynamic time warping
RJ Meszlényi, P Hermann, K Buza, V Gál, Z Vidnyánszky
Frontiers in neuroscience 11, 75, 2017
682017
Classification of fMRI data using dynamic time warping based functional connectivity analysis
R Meszlényi, L Peska, V Gál, Z Vidnyánszky, K Buza
2016 24th European signal processing conference (EUSIPCO), 245-249, 2016
212016
Feature selection with a genetic algorithm for classification of brain imaging data
A Szenkovits, R Meszlényi, K Buza, N Gaskó, RI Lung, M Suciu
Advances in feature selection for data and pattern recognition, 185-202, 2018
162018
Transfer learning improves resting-state functional connectivity pattern analysis using convolutional neural networks
P Vakli, RJ Deák-Meszlényi, P Hermann, Z Vidnyánszky
GigaScience 7 (12), giy130, 2018
142018
A model for classification based on the functional connectivity pattern dynamics of the brain
R Meszlényi, L Peska, V Gál, Z Vidnyánszky, K Buza
2016 Third European Network Intelligence Conference (ENIC), 203-208, 2016
72016
Predicting body mass index from structural MRI brain images using a deep convolutional neural network
P Vakli, RJ Deák-Meszlényi, T Auer, Z Vidnyánszky
Frontiers in neuroinformatics 14, 10, 2020
52020
P242 Dynamic time warping distance based connectivity: A new method for resting-state FMRI functional connectivity analysis
R Meszlényi, L Peska, P Hermann, K Buza, V Gál, Z Vidnyánszky
Clinical Neurophysiology 128 (9), e256, 2017
2017
New approaches for fMRI functional connectivity analysis based on Dynamic Time Warping and machine learning
RJ Meszlényi
2017
Community structure detection for the functional connectivity networks of the brain
RI Lung, M Suciu, R Meszlényi, K Buza, N Gaskó
International Conference on Parallel Problem Solving from Nature, 633-643, 2016
2016
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