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A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection.
Expert Syst Appl. 2022 Apr 15;192:116366. doi: 10.1016/j.eswa.2021.116366. Epub 2021 Dec 16.
Expert Syst Appl. 2022.
PMID: 34937995
Free PMC article.
How much BiGAN and CycleGAN-learned hidden features are effective for COVID-19 detection from CT images? A comparative study.
Sarv Ahrabi S, Momenzadeh A, Baccarelli E, Scarpiniti M, Piazzo L.
Sarv Ahrabi S, et al.
J Supercomput. 2023;79(3):2850-2881. doi: 10.1007/s11227-022-04775-y. Epub 2022 Aug 26.
J Supercomput. 2023.
PMID: 36042937
Free PMC article.
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Exploiting probability density function of deep convolutional autoencoders' latent space for reliable COVID-19 detection on CT scans.
Sarv Ahrabi S, Piazzo L, Momenzadeh A, Scarpiniti M, Baccarelli E.
Sarv Ahrabi S, et al.
J Supercomput. 2022;78(9):12024-12045. doi: 10.1007/s11227-022-04349-y. Epub 2022 Feb 24.
J Supercomput. 2022.
PMID: 35228777
Free PMC article.
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Metaheuristics and Pontryagin's minimum principle for optimal therapeutic protocols in cancer immunotherapy: a case study and methods comparison.
Sarv Ahrabi S, Momenzadeh A.
Sarv Ahrabi S, et al.
J Math Biol. 2020 Aug;81(2):691-723. doi: 10.1007/s00285-020-01525-7. Epub 2020 Jul 25.
J Math Biol. 2020.
PMID: 32712711
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