Belciug S - Search Results

1

Variable selection in Logistic regression model with genetic algorithm.

Zhang Z, Trevino V, Hoseini SS, Belciug S, Boopathi AM, Zhang P, Gorunescu F, Subha V, Dai S. Zhang Z, et al. Among authors: belciug s. Ann Transl Med. 2018 Feb;6(3):45. doi: 10.21037/atm.2018.01.15. Ann Transl Med. 2018. PMID: 29610737 Free PMC article.

2

Real-time sono-elastography in the diagnosis of diffuse liver diseases.

Gheonea DI, Săftoiu A, Ciurea T, Gorunescu F, Iordache S, Popescu GL, Belciug S, Gorunescu M, Săndulescu L. Gheonea DI, et al. Among authors: belciug s. World J Gastroenterol. 2010 Apr 14;16(14):1720-6. doi: 10.3748/wjg.v16.i14.1720. World J Gastroenterol. 2010. PMID: 20380003 Free PMC article.

3

Evolutionary strategy to develop learning-based decision systems. Application to breast cancer and liver fibrosis stadialization.

Gorunescu F, Belciug S. Gorunescu F, et al. Among authors: belciug s. J Biomed Inform. 2014 Jun;49:112-8. doi: 10.1016/j.jbi.2014.02.001. Epub 2014 Feb 8. J Biomed Inform. 2014. PMID: 24518558 Free article.

4

Error-correction learning for artificial neural networks using the Bayesian paradigm. Application to automated medical diagnosis.

Belciug S, Gorunescu F. Belciug S, et al. J Biomed Inform. 2014 Dec;52:329-37. doi: 10.1016/j.jbi.2014.07.013. Epub 2014 Jul 21. J Biomed Inform. 2014. PMID: 25058735 Free article.

5

Improving hospital bed occupancy and resource utilization through queuing modeling and evolutionary computation.

Belciug S, Gorunescu F. Belciug S, et al. J Biomed Inform. 2015 Feb;53:261-9. doi: 10.1016/j.jbi.2014.11.010. Epub 2014 Nov 26. J Biomed Inform. 2015. PMID: 25433363 Free article.

6

A hybrid genetic algorithm-queuing multi-compartment model for optimizing inpatient bed occupancy and associated costs.

Belciug S, Gorunescu F. Belciug S, et al. Artif Intell Med. 2016 Mar;68:59-69. doi: 10.1016/j.artmed.2016.03.001. Epub 2016 Mar 23. Artif Intell Med. 2016. PMID: 27052677

7

Boosting backpropagation algorithm by stimulus-sampling: Application in computer-aided medical diagnosis.

Gorunescu F, Belciug S. Gorunescu F, et al. Among authors: belciug s. J Biomed Inform. 2016 Oct;63:74-81. doi: 10.1016/j.jbi.2016.08.004. Epub 2016 Aug 4. J Biomed Inform. 2016. PMID: 27498068 Free article.

8

Learning a single-hidden layer feedforward neural network using a rank correlation-based strategy with application to high dimensional gene expression and proteomic spectra datasets in cancer detection.

Belciug S, Gorunescu F. Belciug S, et al. J Biomed Inform. 2018 Jul;83:159-166. doi: 10.1016/j.jbi.2018.06.003. Epub 2018 Jun 15. J Biomed Inform. 2018. PMID: 29890313 Free article.

9

Logistic regression paradigm for training a single-hidden layer feedforward neural network. Application to gene expression datasets for cancer research.

Belciug S. Belciug S. J Biomed Inform. 2020 Feb;102:103373. doi: 10.1016/j.jbi.2019.103373. Epub 2019 Dec 31. J Biomed Inform. 2020. PMID: 31901506 Free article.

10

Automated Gleason grading of prostate cancer using transfer learning from general-purpose deep-learning networks.

Şerbănescu MS, Manea NC, Streba L, Belciug S, Pleşea IE, Pirici I, Bungărdean RM, Pleşea RM. Şerbănescu MS, et al. Among authors: belciug s. Rom J Morphol Embryol. 2020;61(1):149-155. doi: 10.47162/RJME.61.1.17. Rom J Morphol Embryol. 2020. PMID: 32747906 Free PMC article.

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