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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.Biomedical Optics Express|February 26, 2019
Automated quantification study of human cardiomyocyte synchronization using holographic imagingInKyu Moon, Ezat Ahmadzadeh, Keyvan Jaferzadeh, 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.Journal of Biophotonics|July 21, 2018
Automated quantitative analysis of multiple cardiomyocytes at the single-cell level with three-dimensional holographic imaging informaticsInkyu Moon, Keyvan Jaferzadeh, Ezat Ahmadzadeh, 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|February 17, 2025
Automated fast label-free quantification of cardiomyocyte dynamics with raw holograms for cardiotoxicity screeningInkyu Moon, Ezat Ahmadzadeh, Youhyun Kim, et al.Scientific Reports|March 25, 2025
Early prediction of intraventricular hemorrhage in very low birth weight infants using deep neural networks with attention in low-resource settingsEzat Ahmadzadeh, Jonghong Kim, Jiwoo Lee, et al.Pageof 1