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Optics Express|June 12, 2009
Real-time automated 3D sensing, detection, and recognition of dynamic biological micro-organic eventsBahram Javidi, Seokwon Yeom, Inkyu Moon, et al.
Biomedical Optics Express|March 25, 2020
Automated single cardiomyocyte characterization by nucleus extraction from dynamic holographic images using a fully convolutional neural networkEzat Ahmadzadeh, Keyvan Jaferzadeh, Seokjoo Shin, et al.
Journal of Biomedical Optics|July 26, 2017
Automated three-dimensional morphology-based clustering of human erythrocytes with regular shapes: stomatocytes, discocytes, and echinocytesEzat Ahmadzadeh, Keyvan Jaferzadeh, Jieun Lee, et al.
Computer Methods and Programs in Biomedicine|June 12, 2025
Automated phenotypic analysis and classification of drug-treated cardiomyocytes via synergized time-lapse holographic imaging and deep learningEzat Ahmadzadeh, Seonghwan Park, Youhyun Kim, et al.
Biomedical Optics Express|August 28, 2019
No-search focus prediction at the single cell level in digital holographic imaging with deep convolutional neural networkKeyvan Jaferzadeh, Seung-Hyeon Hwang, Inkyu Moon, et al.
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|July 1, 2014
Avalanche and bit independence characteristics of double random phase encoding in the Fourier and Fresnel domainsInkyu Moon, Faliu Yi, Yeon H Lee, et al.
Biomedical Optics Express|February 17, 2025
Automated fast label-free quantification of cardiomyocyte dynamics with raw holograms for cardiotoxicity screeningInkyu Moon, Ezat Ahmadzadeh, Youhyun Kim, et al.
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