Zoltán Vidnyánszky

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 20

Top Topics

Image Quality Metrics

Mri Brain Images

Convolutional Neural Networks

Top Venues

Frontiers Neuroinformatics

Ann. Pure Appl. Log.

Publications

Andrea Medini, Zoltán Vidnyánszky
-homogeneous spaces. Ann. Pure Appl. Log. 175 (Issue 1, Part B) (2024)
Pál Vakli, Béla Weiss, Dorina Rozmann, György Eross, Ádám Nárai, Petra Hermann, Zoltán Vidnyánszky
The effect of head motion on brain age prediction using deep convolutional neural networks. NeuroImage 294 (2024)
Tamás Kátay, László Márton Tóth, Zoltán Vidnyánszky
The CSP Dichotomy, the Axiom of Choice, and Cyclic Polymorphisms. CoRR (2023)
Pál Vakli, Béla Weiss, János Szalma, Peter Barsi, István Gyuricza, Péter Kemenczky, Eszter Somogyi, Ádám Nárai, Viktor Gál, Petra Hermann, Zoltán Vidnyánszky
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. Medical Image Anal. 88 (2023)
Sebastian Brandt, Yi-Jun Chang, Jan Grebík, Christoph Grunau, Václav Rozhon, Zoltán Vidnyánszky
Local Problems on Trees from the Perspectives of Distributed Algorithms, Finitary Factors, and Descriptive Combinatorics. ITCS (2022)
Sebastian Brandt, Yi-Jun Chang, Jan Grebík, Christoph Grunau, Václav Rozhon, Zoltán Vidnyánszky
Deterministic Distributed algorithms and Descriptive Combinatorics on Δ-regular trees. CoRR (2022)
Udayan B. Darji, Márton Elekes, Kende Kalina, Viktor Kiss, Zoltán Vidnyánszky
The structure of random automorphisms of the random graph. Ann. Pure Appl. Log. 173 (9) (2022)
Béla Weiss, Ádám Nárai, Zoltán Vidnyánszky
Lateralization of early orthographic processing during natural reading is impaired in developmental dyslexia. NeuroImage 258 (2022)
Sebastian Brandt, Yi-Jun Chang, Jan Grebík, Christoph Grunau, Václav Rozhon, Zoltán Vidnyánszky
Local Problems on Trees from the Perspectives of Distributed Algorithms, Finitary Factors, and Descriptive Combinatorics. CoRR (2021)
Petra Hermann, Béla Weiss, Balázs Knakker, Petra Madurka, Annamária Manga, Ádám Nárai, Zoltán Vidnyánszky
Neural basis of distractor resistance during visual working memory maintenance. NeuroImage 245 (2021)
Sebastian Brandt, Yi-Jun Chang, Jan Grebík, Christoph Grunau, Václav Rozhon, Zoltán Vidnyánszky
On Homomorphism Graphs. CoRR (2021)
Raphaël Carroy, Benjamin D. Miller, Zoltán Vidnyánszky
On the existence of small antichains for definable quasi-orders. J. Math. Log. 21 (2) (2021)
Pál Vakli, Regina J. Deák-Meszlényi, Tibor Auer, Zoltán Vidnyánszky
Predicting Body Mass Index From Structural MRI Brain Images Using a Deep Convolutional Neural Network. Frontiers Neuroinformatics 14 (2020)
János Szalma, Kathleen Kay Amora, Zoltán Vidnyánszky, Béla Weiss
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. ICPR Workshops (3) (2020)
Benjamin D. Miller, Zoltán Vidnyánszky
On the existence of Large Antichains for Definable quasi-Orders. J. Symb. Log. 85 (1) (2020)
Ádám Nárai, Kathleen Kay Amora, Zoltán Vidnyánszky, Béla Weiss
Predicting Reading Speed from Eye-Movement Measures. ICPR Workshops (3) (2020)
Regina Meszlényi, Krisztian Buza, Zoltán Vidnyánszky
Resting State fMRI Functional Connectivity-Based Classification Using a Convolutional Neural Network Architecture. Frontiers Neuroinformatics 11 (2017)
Regina Meszlényi, Krisztian Buza, Zoltán Vidnyánszky
Resting state fMRI functional connectivity-based classification using a convolutional neural network architecture. CoRR (2017)
Regina Meszlényi, Ladislav Peska, Viktor Gál, Zoltán Vidnyánszky, Krisztian Buza
Classification of fMRI data using dynamic time warping based functional connectivity analysis. EUSIPCO (2016)
Regina Meszlényi, Ladislav Peska, Viktor Gál, Zoltán Vidnyánszky, Krisztian Buza
A Model for Classification Based on the Functional Connectivity Pattern Dynamics of the Brain. ENIC (2016)
Viktor Kiss, Zoltán Vidnyánszky
Unions of Regular Polygons with Large Perimeter-to-Area Ratio. Discret. Comput. Geom. 53 (4) (2015)
Mareike Grotheer, Petra Hermann, Zoltán Vidnyánszky, Gyula Kovács
Repetition probability effects for inverted faces. NeuroImage 102 (2014)
Lajos R. Kozák, Szabolcs Dávid, Gábor Rudas, Zoltán Vidnyánszky, Alexander Leemans, Zoltán Nagy
Investigating the need of triggering the acquisition for infant diffusion MRI: A quantitative study including bootstrap statistics. NeuroImage 69 (2013)
Attila Andics, Viktor Gál, Klára Vicsi, Gábor Rudas, Zoltán Vidnyánszky
FMRI repetition suppression for voices is modulated by stimulus expectations. NeuroImage 69 (2013)
Gyula Kovács, Lara Iffland, Zoltán Vidnyánszky, Mark W. Greenlee
Stimulus repetition probability effects on repetition suppression are position invariant for faces. NeuroImage 60 (4) (2012)
Szilard Szalai, Tamás Szirányi, Zoltán Vidnyánszky
Saliency map estimation by constructing graphs of possible eye-tracking paths. CogInfoCom (2012)
Szilard Szalai, Tamás Szirányi, Zoltán Vidnyánszky
Tracking the Saliency Features in Images Based on Human Observation Statistics. MUSCLE (2011)
Attila Andics, James M. McQueen, Karl Magnus Petersson, Viktor Gál, Gábor Rudas, Zoltán Vidnyánszky
Neural mechanisms for voice recognition. NeuroImage 52 (4) (2010)
Anna Lázár, Zoltán Vidnyánszky, Tamás Roska
Modeling stimulus-driven attentional selection in dynamic natural scenes. Int. J. Circuit Theory Appl. 37 (1) (2009)
Gyula Kovács, Csaba Cziraki, Zoltán Vidnyánszky, Stefan R. Schweinberger, Mark W. Greenlee
Position-specific and position-invariant face aftereffects reflect the adaptation of different cortical areas. NeuroImage 43 (1) (2008)
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
Receptive Field Atlas and Related CNN Models. Int. J. Bifurc. Chaos 14 (2) (2004)
Károly Lotz, Adam Jacobs, Joos Vandewalle, Frank S. Werblin, Tamás Roska, Zoltán Vidnyánszky, József Hámori
Cellular neural network realizations of neuron models with diverse spiking patterns. Int. J. Circuit Theory Appl. 24 (3) (1996)