Optimization of Linear Filtering Model to Predict Post-LASIK Corneal Smoothing Based on Training Data Sets

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ISSN Print: 2152-7385
ISSN Online: 2152-7393
www.scirp.org/journal/am
E-mail: am@scirp.org

"Optimization of Linear Filtering Model to Predict Post-LASIK Corneal Smoothing Based on Training Data Sets"
written by Anatoly Fabrikant, Guang-Ming Dai, Dimitri Chernyak,
published by Applied Mathematics, Vol.4 No.12, 2013

has been cited by the following article(s):

[1]	ОПТИМИЗАЦИЯ ТЕХНОЛОГИИ СТАНДАРТНОЙ АБЛЯЦИИ ДЛЯ КОРРЕКЦИИ МИОПИИ НА ОТЕЧЕСТВЕННОЙ ЭКСИМЕРЛАЗЕРНОЙ УСТАНОВКЕ С ЧАСТОТОЙ ИМПУЛЬСОВ 1100 ГЦ
	THESIS, 2020

[2]	ОПТИМИЗИРОВАННАЯ ТЕХНОЛОГИЯ АСФЕРИЧЕСКОЙ АБЛЯЦИИ, ОРИЕНТИРОВАННОЙ ПО Q-ФАКТОРУ, ПРИ КОРРЕКЦИИ МИОПИИ НА ЭКСИМЕРЛАЗЕРНОЙ УСТАНОВКЕ ?МИКРОСКАН-ВИЗУМ?
	THESIS, 2020

[3]	Statement of Research Interests
	2017

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