| Promises and pitfalls of Topological Data Analysis for brain connectivity analysis L Caputi, A Pidnebesna, J Hlinka NeuroImage 238, 118245, 2021 | 55 | 2021 |
| Typicality of functional connectivity robustly captures motion artifacts in rs‐fMRI across datasets, atlases, and preprocessing pipelines J Kopal, A Pidnebesna, D Tomeček, J Tintěra, J Hlinka Human brain mapping 41 (18), 5325-5340, 2020 | 16 | 2020 |
| Toward a reliable detection of arachnophobia: subjective, behavioral, and neurophysiological measures of fear response E Landová, S Rádlová, A Pidnebesna, D Tomeček, M Janovcová, ... Frontiers in Psychiatry 14, 1196785, 2023 | 7 | 2023 |
| BRAD: Software for BRain Activity Detection from hemodynamic response A Pidnebesna, D Tomeček, J Hlinka Computer methods and programs in biomedicine 156, 113-119, 2018 | 6 | 2018 |
| Tackling the challenges of group network inference from intracranial EEG data A Pidnebesna, P Sanda, A Kalina, J Hammer, P Marusic, K Vlcek, ... Frontiers in Neuroscience 16, 1061867, 2022 | 5 | 2022 |
| Estimating Sparse Neuronal Signal from Hemodynamic Response: The Mixture Components Inference Approach A Pidnebesna, I Fajnerová, J Horáček, J Hlinka bioRxiv, 2019.12. 19.876508, 2019 | 4 | 2019 |
| Mixture Components Inference for Sparse Regression: Introduction and Application for Estimation of Neuronal Signal from fMRI BOLD A Pidnebesna, I Fajnerova, J Horáček, J Hlinka Applied Mathematical Modelling 116, 735-748, 2023 | 3 | 2023 |
| Integral Betti signature confirms the hyperbolic geometry of brain, climate, and financial networks L Caputi, A Pidnebesna, J Hlinka arXiv preprint arXiv:2406.15505, 2024 | | 2024 |
| Pro-ictal, rather than pre-ictal, brain state marked by global critical slowing and local gamma power increase I Dallmer-Zerbe, J Kopal, A Pidnebesna, J Curot, M Denuelle, ... medRxiv, 2024.10. 28.24316105, 2024 | | 2024 |
| Computing approximate symmetries of complex networks A Pidnebesna, D Hartman, A Pokorná, M Straka, J Hlinka arXiv preprint arXiv:2312.08042, 2023 | | 2023 |
| HP22: Daily evolution of brain connectivity during the pre-ictal period in intracranial recordings of epileptic patients I Dallmer-Zerbe, J Kopal, A Pidnebesna, J Curot, M Denuelle, JC Sol, ... Clinical Neurophysiology 135, e6, 2022 | | 2022 |
| Detection of visual information processing regions from high-density EEG data A Pidnebesna, S Jiricek, V Koudelka, K Vlcek, P Sanda, J Hammer, ... JOURNAL OF COMPUTATIONAL NEUROSCIENCE 49 (SUPPL 1), S89-S90, 2021 | | 2021 |
| Factors influencing the daily evolution of preictal connectivity dynamics in epilepsy J Kopal, I Dallmer-Zerbe, J Curot, A Pidnebesna, M Denuelle, JC Sol, ... EPILEPSIA 62, 29-29, 2021 | | 2021 |
| Statistical Analysis of the Spatiotemporal Processes/Statistická Analýza Časoprostorových Procesů A Pidnebesna Czech Technical University, 2020 | | 2020 |
| Statistical Analysis of the Spatiotemporal Processes A Pidnebesna PQDT-Global, 2020 | | 2020 |
| Statistická analýza závislostí mezi různými typy dokumentů podaných na obecní úřady v České republice A Pidnebesna, K Helisová, J Staněk Informační bulletin České statistické společnosti 29 (2018), 1-19, 2018 | | 2018 |
| Autoregressive models of submissions to municipalities in Czech Republic A Pidnebesna 2017 12th International Scientific and Technical Conference on Computer …, 2017 | | 2017 |
| BRAD: software for BRain Activity Detection from hemodynamic A Pidnebesna, D Tomecek, J Hlinka | | 2017 |
| Statistical Modelling of Submissions to Municipalities in the Czech Republic A Pidnebesna, K Helisová, J Dvorák, R Lechnerová, T Lechner 31st International Workshop on Statistical Modelling, 113, 2016 | | 2016 |
| Persistent Homology tested: functional & effective networks, fMRI & EEG, schizophrenia & seizures J Hlinka, L Caputi, A Pidnebesna | | |
Jaroslav HlinkaInstitute of Computer Science, Czech Academy of SciencesVerified email at cs.cas.cz
