Zoltán Vidnyánszky

According to our database, Zoltán Vidnyánszky authored at least 30 papers between 1996 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Zero-dimensional <i>σ</i>-homogeneous spaces.

Andrea Medini, Zoltán Vidnyánszky

Ann. Pure Appl. Log., January, 2024

The effect of head motion on brain age prediction using deep convolutional neural networks.

Pál Vakli, Béla Weiss, Dorina Rozmann, György Eross, Ádám Nárai, Petra Hermann, Zoltán Vidnyánszky

NeuroImage, 2024

2023

Automatic brain MRI motion artifact detection based on end-to-end deep learning is similarly effective as traditional machine learning trained on image quality metrics.

Pál Vakli, Béla Weiss, János Szalma, Peter Barsi, István Gyuricza, Péter Kemenczky, Eszter Somogyi, Ádám Nárai, Viktor Gál, Petra Hermann, Zoltán Vidnyánszky

Medical Image Anal., August, 2023

The CSP Dichotomy, the Axiom of Choice, and Cyclic Polymorphisms.

Tamás Kátay, László Márton Tóth, Zoltán Vidnyánszky

CoRR, 2023

2022

Lateralization of early orthographic processing during natural reading is impaired in developmental dyslexia.

Béla Weiss, Ádám Nárai, Zoltán Vidnyánszky

NeuroImage, 2022

Deterministic Distributed algorithms and Descriptive Combinatorics on Δ-regular trees.

Sebastian Brandt, Yi-Jun Chang, Jan Grebík, Christoph Grunau, Václav Rozhon, Zoltán Vidnyánszky

CoRR, 2022

The structure of random automorphisms of the random graph.

Udayan B. Darji, Márton Elekes, Kende Kalina, Viktor Kiss, Zoltán Vidnyánszky

Ann. Pure Appl. Log., 2022

Local Problems on Trees from the Perspectives of Distributed Algorithms, Finitary Factors, and Descriptive Combinatorics.

Sebastian Brandt, Yi-Jun Chang, Jan Grebík, Christoph Grunau, Václav Rozhon, Zoltán Vidnyánszky

Proceedings of the 13th Innovations in Theoretical Computer Science Conference, 2022

2021

Neural basis of distractor resistance during visual working memory maintenance.

Petra Hermann, Béla Weiss, Balázs Knakker, Petra Madurka, Annamária Manga, Ádám Nárai, Zoltán Vidnyánszky

NeuroImage, 2021

On the existence of small antichains for definable quasi-orders.

Raphaël Carroy, Benjamin D. Miller, Zoltán Vidnyánszky

J. Math. Log., 2021

On Homomorphism Graphs.

Sebastian Brandt, Yi-Jun Chang, Jan Grebík, Christoph Grunau, Václav Rozhon, Zoltán Vidnyánszky

CoRR, 2021

2020

On the existence of Large Antichains for Definable quasi-Orders.

Benjamin D. Miller, Zoltán Vidnyánszky

J. Symb. Log., 2020

Predicting Body Mass Index From Structural MRI Brain Images Using a Deep Convolutional Neural Network.

Pál Vakli, Regina J. Deák-Meszlényi, Tibor Auer, Zoltán Vidnyánszky

Frontiers Neuroinformatics, 2020

Investigating the Effect of Inter-letter Spacing Modulation on Data-Driven Detection of Developmental Dyslexia Based on Eye-Movement Correlates of Reading: A Machine Learning Approach.

János Szalma, Kathleen Kay Amora, Zoltán Vidnyánszky, Béla Weiss

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Predicting Reading Speed from Eye-Movement Measures.

Ádám Nárai, Kathleen Kay Amora, Zoltán Vidnyánszky, Béla Weiss

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2017

Resting State fMRI Functional Connectivity-Based Classification Using a Convolutional Neural Network Architecture.

Regina Meszlényi, Krisztián Búza, Zoltán Vidnyánszky

Frontiers Neuroinformatics, 2017

2016

Classification of fMRI data using dynamic time warping based functional connectivity analysis.

Regina Meszlényi, Ladislav Peska, Viktor Gál, Zoltán Vidnyánszky, Krisztián Búza

Proceedings of the 24th European Signal Processing Conference, 2016

A Model for Classification Based on the Functional Connectivity Pattern Dynamics of the Brain.

Regina Meszlényi, Ladislav Peska, Viktor Gál, Zoltán Vidnyánszky, Krisztián Búza

Proceedings of the Third European Network Intelligence Conference, 2016

2015

Unions of Regular Polygons with Large Perimeter-to-Area Ratio.

Viktor Kiss, Zoltán Vidnyánszky

Discret. Comput. Geom., 2015

2014

Repetition probability effects for inverted faces.

Mareike Grotheer, Petra Hermann, Zoltán Vidnyánszky, Gyula Kovács

NeuroImage, 2014

2013

Investigating the need of triggering the acquisition for infant diffusion MRI: A quantitative study including bootstrap statistics.

Lajos R. Kozák, Szabolcs Dávid, Gábor Rudas, Zoltán Vidnyánszky, Alexander Leemans, Zoltán Nagy

NeuroImage, 2013

FMRI repetition suppression for voices is modulated by stimulus expectations.

Attila Andics, Viktor Gál, Klára Vicsi, Gábor Rudas, Zoltán Vidnyánszky

NeuroImage, 2013

2012

Stimulus repetition probability effects on repetition suppression are position invariant for faces.

Gyula Kovács, Lara Iffland, Zoltán Vidnyánszky, Mark W. Greenlee

NeuroImage, 2012

Saliency map estimation by constructing graphs of possible eye-tracking paths.

Szilard Szalai, Tamás Szirányi, Zoltán Vidnyánszky

Proceedings of the IEEE 3rd International Conference on Cognitive Infocommunications, 2012

2011

Tracking the Saliency Features in Images Based on Human Observation Statistics.

Szilard Szalai, Tamás Szirányi, Zoltán Vidnyánszky

Proceedings of the Computational Intelligence for Multimedia Understanding, 2011

2010

Neural mechanisms for voice recognition.

Attila Andics, James M. McQueen, Karl Magnus Petersson, Viktor Gál, Gábor Rudas, Zoltán Vidnyánszky

NeuroImage, 2010

2009

Modeling stimulus-driven attentional selection in dynamic natural scenes.

Anna Lázár, Zoltán Vidnyánszky, Tamás Roska

Int. J. Circuit Theory Appl., 2009

2008

Position-specific and position-invariant face aftereffects reflect the adaptation of different cortical areas.

Gyula Kovács, Csaba Cziraki, Zoltán Vidnyánszky, Stefan R. Schweinberger, Mark W. Greenlee

NeuroImage, 2008

2004

Receptive Field Atlas and Related CNN Models.

Viktor Gál, József Hámori, Tamás Roska, Dávid Bálya, Zsolt Borostyánköi, Mátyás Brendel, Károly Lotz, Laszlo Négyessy, László Orzó, István Petrás, Csaba Rekeczky, József Takács, Péter L. Venetianer, Zoltán Vidnyánszky, Ákos Zarándy

Int. J. Bifurc. Chaos, 2004

1996

Cellular neural network realizations of neuron models with diverse spiking patterns.

Károly Lotz, Adam Jacobs, Joos Vandewalle, Frank S. Werblin, Tamás Roska, Zoltán Vidnyánszky, József Hámori

Int. J. Circuit Theory Appl., 1996