Choi JY - Search Results

1

Adopting low-shot deep learning for the detection of conjunctival melanoma using ocular surface images.

Yoo TK, Choi JY, Kim HK, Ryu IH, Kim JK. Yoo TK, et al. Among authors: choi jy. Comput Methods Programs Biomed. 2021 Jun;205:106086. doi: 10.1016/j.cmpb.2021.106086. Epub 2021 Apr 3. Comput Methods Programs Biomed. 2021. PMID: 33862570

2

Comparison of survival predictions for rats with hemorrhagic shocks using an artificial neural network and support vector machine.

Jang KH, Yoo TK, Choi JY, Nam KC, Choi JL, Kwon MK, Kim DW. Jang KH, et al. Among authors: choi jy, choi jl. Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:91-4. doi: 10.1109/IEMBS.2011.6089904. Annu Int Conf IEEE Eng Med Biol Soc. 2011. PMID: 22254258

3

Effects of radiation emitted by WCDMA mobile phones on electromagnetic hypersensitive subjects.

Kwon MK, Choi JY, Kim SK, Yoo TK, Kim DW. Kwon MK, et al. Among authors: choi jy. Environ Health. 2012 Sep 21;11:69. doi: 10.1186/1476-069X-11-69. Environ Health. 2012. PMID: 22998837 Free PMC article.

4

A new severity predicting index for hemorrhagic shock using lactate concentration and peripheral perfusion in a rat model.

Choi JY, Lee WH, Yoo TK, Park I, Kim DW. Choi JY, et al. Shock. 2012 Dec;38(6):635-41. doi: 10.1097/SHK.0b013e318273299f. Shock. 2012. PMID: 23143055

5

A survival prediction model of rats in hemorrhagic shock using the random forest classifier.

Choi JY, Kim SK, Lee WH, Yoo TK, Kim DW. Choi JY, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:5570-3. doi: 10.1109/EMBC.2012.6347256. Annu Int Conf IEEE Eng Med Biol Soc. 2012. PMID: 23367191

6

Mortality prediction of rats in acute hemorrhagic shock using machine learning techniques.

Kim KA, Choi JY, Yoo TK, Kim SK, Chung K, Kim DW. Kim KA, et al. Among authors: choi jy. Med Biol Eng Comput. 2013 Sep;51(9):1059-67. doi: 10.1007/s11517-013-1091-0. Epub 2013 Jun 23. Med Biol Eng Comput. 2013. PMID: 23793529

7

Osteoporosis risk prediction for bone mineral density assessment of postmenopausal women using machine learning.

Yoo TK, Kim SK, Kim DW, Choi JY, Lee WH, Oh E, Park EC. Yoo TK, et al. Among authors: choi jy. Yonsei Med J. 2013 Nov;54(6):1321-30. doi: 10.3349/ymj.2013.54.6.1321. Yonsei Med J. 2013. PMID: 24142634 Free PMC article.

8

Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database.

Choi JY, Yoo TK, Seo JG, Kwak J, Um TT, Rim TH. Choi JY, et al. PLoS One. 2017 Nov 2;12(11):e0187336. doi: 10.1371/journal.pone.0187336. eCollection 2017. PLoS One. 2017. PMID: 29095872 Free PMC article.

9

The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration: a preliminary experiment.

Yoo TK, Choi JY, Seo JG, Ramasubramanian B, Selvaperumal S, Kim DW. Yoo TK, et al. Among authors: choi jy. Med Biol Eng Comput. 2019 Mar;57(3):677-687. doi: 10.1007/s11517-018-1915-z. Epub 2018 Oct 22. Med Biol Eng Comput. 2019. PMID: 30349958

10

A generative adversarial network approach to predicting postoperative appearance after orbital decompression surgery for thyroid eye disease.

Yoo TK, Choi JY, Kim HK. Yoo TK, et al. Among authors: choi jy. Comput Biol Med. 2020 Mar;118:103628. doi: 10.1016/j.compbiomed.2020.103628. Epub 2020 Jan 26. Comput Biol Med. 2020. PMID: 32174327

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