Viktor Ší́p - Concepedia

Author

Viktor Ší́p

Institut de Neurosciences des Systèmes ORCID

Also Known As

Sip, Viktor, V. Sip, Viktor Sip, Viktor Šíp, Viktor Ší́p, Šíp, Viktor

Publications

644

Citations

H-Index

Concepts

All Affiliations

Institut de Neurosciences des Systèmes Inserm Assistance Publique Hôpitaux de Marseille Centre National de la Recherche Scientifique Centre de Résonance Magnétique Biologique et Médicale

VŠ

About

Viktor Ší́p is an author at Institut de Neurosciences des Systèmes specializing in neuroimaging, social sciences, and neuroscience.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Social Sciences	4	4	199
2	Medicine	3	3	152
3	Biostatistics	3	3	152
4	Cognitive Science	2	2	106
5	Engineering	1	1	47

Viktor Ší́p

Publications

596

Citations

H-Index

Page 1

	Year	Citations
The Bayesian Virtual Epileptic Patient: A probabilistic framework designed to infer the spatial map of epileptogenicity in a personalized large-scale brain model of epilepsy spread Meysam Hashemi, Anirudh Nihalani Vattikonda, Viktor Ší́p, NeuroImage	2020	133
Delineating epileptogenic networks using brain imaging data and personalized modeling in drug-resistant epilepsy Huifang Wang, Marmaduke Woodman, Paul Triebkorn, Science Translational Medicine	2023	101
VEP atlas: An anatomic and functional human brain atlas dedicated to epilepsy patients Huifang Wang, Julia Scholly, Paul Triebkorn, Journal of Neuroscience Methods	2020	60
Characterization of regional differences in resting-state fMRI with a data-driven network model of brain dynamics Viktor Ší́p, Meysam Hashemi, Timo Dickscheid, Science Advances Brain MappingBrain OrganizationFunctional NeuroimagingSocial SciencesBiostatistics	2023	57
On the influence of prior information evaluated by fully Bayesian criteria in a personalized whole-brain model of epilepsy spread Meysam Hashemi, Anirudh Nihalani Vattikonda, Viktor Ší́p, PLoS Computational Biology Bayesian StatisticSocial SciencesBayesian InferencePrior InformationIndividualized Anatomical Information	2021	49
Amortized Bayesian inference on generative dynamical network models of epilepsy using deep neural density estimators Meysam Hashemi, Anirudh Nihalani Vattikonda, Jayant Jha, Neural Networks Bayesian StatisticEngineeringMachine LearningAmortized Bayesian InferenceSocial Sciences	2023	47
Data-driven method to infer the seizure propagation patterns in an epileptic brain from intracranial electroencephalography Viktor Ší́p, Meysam Hashemi, Anirudh Nihalani Vattikonda, PLoS Computational Biology Weighted NetworkNeurophysiological BiomarkersElectroencephalographySocial SciencesBayesian Inference	2021	46
Identifying spatio-temporal seizure propagation patterns in epilepsy using Bayesian inference Anirudh Nihalani Vattikonda, Meysam Hashemi, Viktor Ší́p, Communications Biology	2021	37
Principles and Operation of Virtual Brain Twins Meysam Hashemi, Damien Depannemaecker, Paul Triebkorn, IEEE Reviews in Biomedical Engineering	2025	16
Evidence for spreading seizure as a cause of theta-alpha activity electrographic pattern in stereo-EEG seizure recordings Viktor Ší́p, Julia Scholly, Maxime Guye, PLoS Computational Biology	2021	15

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