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Results 1-10 of 13 (Search time: 0.005 seconds).

  • Lew, Hah Min
  • Shin, Heean
  • Lee, Moon Hwan
  • Youn, Sangyeon
  • Kim, Hee Chan
  • Hwang, Jae Youn
  • 2021-08
  • Lew, Hah Min. (2021-08). Ultrasonic blood flowmeter with a novel Xero algorithm for a mechanical circulatory support system. Ultrasonics, 115(106457), 1–13. doi: 10.1016/j.ultras.2021.106457
  • Elsevier BV
  • View : 594
  • Download : 0
  • 2019-01
  • Hwang, Jae Youn. (2019-01). Gravitational field flow fractionation: Enhancing the resolution power by using an acoustic force field. Analytica Chimica Acta, 1047, 238–247. doi: 10.1016/j.aca.2018.09.056
  • Elsevier BV
  • View : 759
  • Download : 0
  • Choi, Jaesuk
  • Youn, Sangyeon
  • Hwang, Jaeyoun
  • Ha, Sohmyung
  • Kim, Chul
  • Je, Min Kyu
  • 2021-01
  • Choi, Jaesuk. (2021-01). Energy-Efficient High-Voltage Pulsers for Ultrasound Transducers. doi: 10.1109/TCSII.2020.3040548
  • Institute of Electrical and Electronics Engineers
  • View : 615
  • Download : 0
  • 2021-02
  • Kim, Jihun. (2021-02). Forward-Looking Multimodal Endoscopic System Based on Optical Multispectral and High-Frequency Ultrasound Imaging Techniques for Tumor Detection. IEEE Transactions on Medical Imaging, 40(2), 594–606. doi: 10.1109/TMI.2020.3032275
  • Institute of Electrical and Electronics Engineers
  • View : 734
  • Download : 0

Smartphone-based multispectral imaging: system development and potential for mobile skin diagnosis

  • Kim, Sewoong
  • Cho, Dongrae
  • Kim, Jihun
  • Kim, Manjae
  • Youn, Sangyeon
  • Jang, Jae Eun
  • Je, Minkyu
  • Lee, Dong Hun
  • Lee, Boreom
  • Farkas, Daniel L.
  • et al
  • 2016-12
  • Biomedical Optics Express, v.7, no.12, pp.5294 - 5307
  • OSA - The Optical Society
  • View : 1183
  • Download : 93

Fully-automatic deep learning-based analysis for determination of the invasiveness of breast cancer cells in an acoustic trap

  • Youn, Sangyeon
  • Lee, Kyungsu
  • Son, Jeehoon
  • Yang, In-Hwan
  • Hwang, Jae Youn
  • 2020-06
  • Youn, Sangyeon. (2020-06). Fully-automatic deep learning-based analysis for determination of the invasiveness of breast cancer cells in an acoustic trap. Biomedical Optics Express, 11(6), 2976–2995. doi: 10.1364/BOE.390558
  • The Optical Society
  • View : 578
  • Download : 84
  • Lee, Moon Hwan
  • Lew, Hah Min
  • Youn, Sangyeon
  • Kim, Tae
  • Hwang, Jae Youn
  • 2022-12
  • Lee, Moon Hwan. (2022-12). Deep Learning-Based Framework for Fast and Accurate Acoustic Hologram Generation. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 69(12), 3353–3366. doi: 10.1109/TUFFC.2022.3219401
  • Institute of Electrical and Electronics Engineers
  • View : 532
  • Download : 0
  • 2022-11
  • Kim, Haemin. (2022-11). Deep laser microscopy using optical clearing by ultrasound-induced gas bubbles. Nature Photonics, 16(11), 762–768. doi: 10.1038/s41566-022-01068-x
  • Nature Publishing Group
  • View : 493
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  • 2022-12
  • Park, HeeYeon. (2022-12). 단일 세포 변형 및 점탄성 특성 정량화를 위한 고주파 음향 핀셋 시스템. Journal of the Korean Society for Nondestructive Testing, 42(6), 514–520. doi: 10.7779/JKSNT.2022.42.6.514
  • 한국비파괴검사학회
  • View : 370
  • Download : 0
  • Lee, Haeyun
  • Lee, Moon Hwan
  • Youn, Sangyeon
  • Lee, Kyungsu
  • Lew, Hah Min
  • Hwang, Jae Youn
  • 2022-09
  • Lee, Haeyun. (2022-09). Speckle Reduction via Deep Content-Aware Image Prior for Precise Breast Tumor Segmentation in an Ultrasound Image. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 69(9), 2638–2650. doi: 10.1109/TUFFC.2022.3193640
  • Institute of Electrical and Electronics Engineers
  • View : 557
  • Download : 0
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