Parameterizable consensus connectomes from the human connectome project: the budapest reference connectome server v3. 0 B Szalkai, C Kerepesi, B Varga, V Grolmusz Cognitive neurodynamics 11, 113-116, 2017 | 67 | 2017 |
Graph theoretical analysis reveals: Women’s brains are better connected than men’s B Szalkai, B Varga, V Grolmusz PLoS One 10 (7), e0130045, 2015 | 56 | 2015 |
Near perfect protein multi-label classification with deep neural networks B Szalkai, V Grolmusz Methods 132, 50-56, 2018 | 55 | 2018 |
The budapest reference connectome server v2. 0 B Szalkai, C Kerepesi, B Varga, V Grolmusz Neuroscience Letters 595, 60-62, 2015 | 45 | 2015 |
How to Direct the Edges of the Connectomes: Dynamics of the Consensus Connectomes and the Development of the Connections in the Human Brain C Kerepesi, B Szalkai, B Varga, V Grolmusz PLoS One 11 (6), e0158680, 2016 | 42 | 2016 |
The braingraph. org database of high resolution structural connectomes and the brain graph tools C Kerepesi, B Szalkai, B Varga, V Grolmusz Cognitive Neurodynamics 11, 483-486, 2017 | 36 | 2017 |
Method and apparatus for generating a displacement map of an input dataset pair R Csordás, Á Kis-Benedek, B Szalkai US Patent 10,380,753, 2019 | 32 | 2019 |
High-resolution directed human connectomes and the consensus connectome dynamics B Szalkai, C Kerepesi, B Varga, V Grolmusz PLoS One 14 (4), e0215473, 2019 | 28 | 2019 |
SECLAF: a webserver and deep neural network design tool for hierarchical biological sequence classification B Szalkai, V Grolmusz Bioinformatics 34 (14), 2487-2489, 2018 | 28 | 2018 |
Comparative connectomics: Mapping the inter-individual variability of connections within the regions of the human brain C Kerepesi, B Szalkai, B Varga, V Grolmusz Neuroscience Letters 662, 17-21, 2018 | 27 | 2018 |
Identifying combinatorial biomarkers by association rule mining in the CAMD Alzheimer's database B Szalkai, VK Grolmusz, VI Grolmusz, CAM Diseases Archives of gerontology and geriatrics 73, 300-307, 2017 | 22 | 2017 |
Brain size bias compensated graph-theoretical parameters are also better in women’s structural connectomes B Szalkai, B Varga, V Grolmusz Brain Imaging and Behavior 12, 663-673, 2018 | 19 | 2018 |
The graph of our mind B Szalkai, B Varga, V Grolmusz Brain Sciences 11 (3), 342, 2021 | 18 | 2021 |
On contact numbers of totally separable unit sphere packings K Bezdek, B Szalkai, I Szalkai Discrete Mathematics 339 (2), 668-676, 2016 | 18 | 2016 |
Mapping correlations of psychological and structural connectome properties of the dataset of the human connectome project with the maximum spanning tree method B Szalkai, B Varga, V Grolmusz Brain Imaging and Behavior 13, 1185-1192, 2019 | 17* | 2019 |
The robustness and the doubly-preferential attachment simulation of the consensus connectome dynamics of the human brain B Szalkai, B Varga, V Grolmusz Scientific Reports 7 (1), 16118, 2017 | 17 | 2017 |
Visual analysis of the quantitative composition of metagenomic communities: the AmphoraVizu webserver C Kerepesi, B Szalkai, V Grolmusz Microbial ecology 69, 695-697, 2015 | 17 | 2015 |
The dorsal striatum and the dynamics of the consensus connectomes in the frontal lobe of the human brain C Kerepesi, B Varga, B Szalkai, V Grolmusz Neuroscience Letters 673, 51-55, 2018 | 15 | 2018 |
The metagenomic telescope B Szalkai, I Scheer, K Nagy, BG Vertessy, V Grolmusz Plos one 9 (7), e101605, 2014 | 14 | 2014 |
MetaHMM: A webserver for identifying novel genes with specified functions in metagenomic samples B Szalkai, V Grolmusz Genomics 111 (4), 883-885, 2019 | 12 | 2019 |