Browsing by Titles

Showing results 1 to 10 of 10

  • Jaferzadeh, Keyvan
  • Rappaz, Benjamin
  • Kim, Youhyun
  • Kim, Bo-Kyung
  • Moon, Inkyu
  • Marquet, Pierre
  • Turcatti, Gerardo
  • 2023-06
  • Jaferzadeh, Keyvan. (2023-06). Automated Dual-Mode Cell Monitoring To Simultaneously Explore Calcium Dynamics and Contraction-Relaxation Kinetics within Drug-Treated Stem Cell-Derived Cardiomyocytes. ACS Sensors, 8(7), 2533–2542. doi: 10.1021/acssensors.3c00073
  • American Chemical Society
  • View : 314
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Automated fast label-free quantification of cardiomyocyte dynamics with raw holograms for cardiotoxicity screening

  • Moon, Inkyu
  • Ahmadzadeh, Ezat
  • Kim, Youhyun
  • Rappaz, Benjamin
  • Turcatti, Gerardo
  • 2025-02
  • Moon, Inkyu. (2025-02). Automated fast label-free quantification of cardiomyocyte dynamics with raw holograms for cardiotoxicity screening. Biomedical Optics Express, 16(2), 398–414. doi: 10.1364/BOE.542362
  • The Optical Society
  • View : 223
  • Download : 26
  • 2024-09
  • Park, Seonghwan. (2024-09). Automated phase reconstruction and super-resolution with deep learning in digital holography. Optics and Laser Technology, 176. doi: 10.1016/j.optlastec.2024.111030
  • Elsevier
  • View : 316
  • Download : 0

Automated phase unwrapping in digital holography with deep learning

  • 2021-11
  • Park, Seonghwan. (2021-11). Automated phase unwrapping in digital holography with deep learning. Biomedical Optics Express, 12(11), 7064–7081. doi: 10.1364/BOE.440338
  • The Optical Society
  • View : 579
  • Download : 118

Automated quantification study of human cardiomyocyte synchronization using holographic imaging

  • Moon, Inkyu
  • Ahmadzadeh, Ezat
  • Jaferzadeh, Keyvan
  • Kim, Namgon
  • 2019-02
  • Moon, Inkyu. (2019-02). Automated quantification study of human cardiomyocyte synchronization using holographic imaging. Biomedical Optics Express, 10(2), 610–621. doi: 10.1364/BOE.10.000610
  • The Optical Society
  • View : 884
  • Download : 147

Automated single cardiomyocyte characterization by nucleus extraction from dynamic holographic images using a fully convolutional neural network

  • Ahmadzadeh, Ezat
  • Jaferzadeh, Keyvan
  • Shin, Seokjoo
  • Moon, Inkyu
  • 2020-03
  • Ahmadzadeh, Ezat. (2020-03). Automated single cardiomyocyte characterization by nucleus extraction from dynamic holographic images using a fully convolutional neural network. Biomedical Optics Express, 11(3), 1501–1516. doi: 10.1364/BOE.385218
  • The Optical Society
  • View : 754
  • Download : 161
  • Kim, Eunji
  • Park, Seonghwan
  • Hwang, Seung-Hyeon
  • Moon, Inkyu
  • Javidi, Bahram
  • 2022-03
  • Kim, Eunji. (2022-03). Deep Learning-Based Phenotypic Assessment of Red Cell Storage Lesions for Safe Transfusions. IEEE Journal of Biomedical and Health Informatics, 26(3), 1318–1328. doi: 10.1109/JBHI.2021.3104650
  • Institute of Electrical and Electronics Engineers Inc.
  • View : 490
  • Download : 0
  • 2023-08
  • Park, Seonghwan. (2023-08). Fast automated quantitative phase reconstruction in digital holography with unsupervised deep learning. Optics and Lasers in Engineering, 167. doi: 10.1016/j.optlaseng.2023.107624
  • Elsevier Ltd
  • View : 343
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  • Kim, Youhyun
  • Jeong, Ongee
  • Moon, Inkyu
  • Javidi, Bahram
  • 2025-05
  • Kim, Youhyun. (2025-05). Multiparty Random Phase Wrapping Secret-Sharing Systems for Visual Data Security. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 55(5), 3586–3600. doi: 10.1109/TSMC.2025.3541827
  • IEEE Advancing Technology for Humanity
  • View : 239
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  • Kim, Youhyun
  • Sim, Minwoo
  • Moon, Inkyu
  • Javidi, Bahram
  • 2019-12
  • Kim, Youhyun. (2019-12). Secure Random Phase Key Exchange Schemes for Image Cryptography. doi: 10.1109/JIOT.2019.2942048
  • Institute of Electrical and Electronics Engineers Inc.
  • View : 831
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