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Communications Biology
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November 2, 2021
Identifying spatio-temporal seizure propagation patterns in epilepsy using Bayesian inference
Anirudh N Vattikonda, Meysam Hashemi, Viktor Sip, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
April 15, 2023
Amortized Bayesian inference on generative dynamical network models of epilepsy using deep neural density estimators
Meysam Hashemi, Anirudh N Vattikonda, Jayant Jha, et al.
Plos Computational Biology
|
February 17, 2021
Data-driven method to infer the seizure propagation patterns in an epileptic brain from intracranial electroencephalography
Viktor Sip, Meysam Hashemi, Anirudh N Vattikonda, et al.
Plos Computational Biology
|
July 14, 2021
On the influence of prior information evaluated by fully Bayesian criteria in a personalized whole-brain model of epilepsy spread
Meysam Hashemi, Anirudh N Vattikonda, Viktor Sip, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 4) with videos related to
Sort By:
Page
of 1
Communications Biology
|
November 2, 2021
Identifying spatio-temporal seizure propagation patterns in epilepsy using Bayesian inference
Anirudh N Vattikonda, Meysam Hashemi, Viktor Sip, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
April 15, 2023
Amortized Bayesian inference on generative dynamical network models of epilepsy using deep neural density estimators
Meysam Hashemi, Anirudh N Vattikonda, Jayant Jha, et al.
Plos Computational Biology
|
February 17, 2021
Data-driven method to infer the seizure propagation patterns in an epileptic brain from intracranial electroencephalography
Viktor Sip, Meysam Hashemi, Anirudh N Vattikonda, et al.
Plos Computational Biology
|
July 14, 2021
On the influence of prior information evaluated by fully Bayesian criteria in a personalized whole-brain model of epilepsy spread
Meysam Hashemi, Anirudh N Vattikonda, Viktor Sip, et al.
Page
of 1