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Jeongwoo Son

Showing results (1-10 of 6) with videos related to

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Sensors (Basel, Switzerland)|May 20, 2022
Standoff Detection and Identification of Liquid Chemicals on a Reflective Substrate Using a Wavelength-Tunable Quantum Cascade LaserSeongjin Park, Jeongwoo Son, Jaeyeon Yu, et al.
Nanomaterials (Basel, Switzerland)|November 12, 2025
Adjoint-Driven Inverse Design of a Quad-Spectral Metasurface Router for RGB-NIR SensingRishad Arfin, Jeongwoo Son, Jens Niegemann, et al.
Science Advances|July 25, 2025
Full complex amplitude control of second-harmonic generation via electrically tunable intersubband polaritonic metasurfacesJaeyeon Yu, Jaesung Kim, Hyeongju Chung, et al.
Artificial Intelligence in Medicine|June 29, 2020
CT window trainable neural network for improving intracranial hemorrhage detection by combining multiple settingsManohar Karki, Junghwan Cho, Eunmi Lee, et al.
Journal of Digital Imaging|January 26, 2019
Improving Sensitivity on Identification and Delineation of Intracranial Hemorrhage Lesion Using Cascaded Deep Learning ModelsJunghwan Cho, Ki-Su Park, Manohar Karki, et al.
Technology and Health Care : Official Journal of the European Society for Engineering and Medicine|March 8, 2021
Clinical usefulness of deep learning-based automated segmentation in intracranial hemorrhageChang Ho Kim, Myong Hun Hahm, Dong Eun Lee, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Sensors (Basel, Switzerland)|May 20, 2022
Standoff Detection and Identification of Liquid Chemicals on a Reflective Substrate Using a Wavelength-Tunable Quantum Cascade LaserSeongjin Park, Jeongwoo Son, Jaeyeon Yu, et al.
Nanomaterials (Basel, Switzerland)|November 12, 2025
Adjoint-Driven Inverse Design of a Quad-Spectral Metasurface Router for RGB-NIR SensingRishad Arfin, Jeongwoo Son, Jens Niegemann, et al.
Science Advances|July 25, 2025
Full complex amplitude control of second-harmonic generation via electrically tunable intersubband polaritonic metasurfacesJaeyeon Yu, Jaesung Kim, Hyeongju Chung, et al.
Artificial Intelligence in Medicine|June 29, 2020
CT window trainable neural network for improving intracranial hemorrhage detection by combining multiple settingsManohar Karki, Junghwan Cho, Eunmi Lee, et al.
Journal of Digital Imaging|January 26, 2019
Improving Sensitivity on Identification and Delineation of Intracranial Hemorrhage Lesion Using Cascaded Deep Learning ModelsJunghwan Cho, Ki-Su Park, Manohar Karki, et al.
Technology and Health Care : Official Journal of the European Society for Engineering and Medicine|March 8, 2021
Clinical usefulness of deep learning-based automated segmentation in intracranial hemorrhageChang Ho Kim, Myong Hun Hahm, Dong Eun Lee, et al.
Pageof 1