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Convolutional neural network for detection and classification of seizures in clinical data.
Med Biol Eng Comput. 2020 Sep;58(9):1919-1932. doi: 10.1007/s11517-020-02208-7. Epub 2020 Jun 12.
Med Biol Eng Comput. 2020.
PMID: 32533511
Prediction and Risk Assessment Models for Subarachnoid Hemorrhage: A Systematic Review on Case Studies.
Sengupta J, Alzbutas R.
Sengupta J, et al. Among authors: alzbutas r.
Biomed Res Int. 2022 Jan 27;2022:5416726. doi: 10.1155/2022/5416726. eCollection 2022.
Biomed Res Int. 2022.
PMID: 35111845
Free PMC article.
Retracted.
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Cerebrospinal fluid volume as an early radiological factor for clinical course prediction after aneurysmal subarachnoid hemorrhage. A pilot study.
Ratkunas V, Misiulis E, Lapinskiene I, Skarbalius G, Navakas R, Dziugys A, Barkauskiene A, Preiksaitis A, Serpytis M, Rocka S, Lukosevicius S, Iesmantas T, Alzbutas R, Sengupta J, Petkus V.
Ratkunas V, et al. Among authors: alzbutas r.
Eur J Radiol. 2024 Apr 28;176:111483. doi: 10.1016/j.ejrad.2024.111483. Online ahead of print.
Eur J Radiol. 2024.
PMID: 38705051
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Intracranial hemorrhage detection in 3D computed tomography images using a bi-directional long short-term memory network-based modified genetic algorithm.
Sengupta J, Alzbutas R, Falkowski-Gilski P, Falkowska-Gilska B.
Sengupta J, et al. Among authors: alzbutas r.
Front Neurosci. 2023 Jul 4;17:1200630. doi: 10.3389/fnins.2023.1200630. eCollection 2023.
Front Neurosci. 2023.
PMID: 37469843
Free PMC article.
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