Výsledky vyhledávání - "Junseob Shin"

Interprofessional collaboration in hospital-based services for victims of sexual violence in South Korea: participating professionals’ different attitudes and their impacts on collaboration

Autor: Min-So Paek, Seok Woo Kim, Junseob Shin

Publikováno v: Journal of Interprofessional Care. 36:371-379

Human service professionals (HSPs) play important roles in supporting victims of sexual violence. When these professionals work together in various forms of collaboration, attitudes of professionals in different fields can sometimes facilitate or som

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1bf4f48fd6aa773be019e22c9bf8081
https://doi.org/10.1080/13561820.2021.1925232

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Gender differences in perceptions of policy advocacy activities among top executive leadership: Focusing on two types of South Korean social work organizations

Autor: Junseob Shin

Publikováno v: International Social Work. 65:983-999

This exploratory study examined gender differences in perceptions of policy advocacy activities performed by top executive leaders in social work organizations. A nationwide survey of 233 top executives from two types of social work organizations in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a3cf7c0f685cfffc062b17343acada78
https://doi.org/10.1177/0020872820962216

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Improving Contrast of Fundamental Ultrasound Imaging Using a Deep Neural Network

Autor: Jean-Luc Robert, Iason Zacharias Apostolakis, Ali Sadeghi, Francois Guy Gerard Marie Vignon, Can Meral, Junseob Shin

Publikováno v: 2021 IEEE International Ultrasonics Symposium (IUS).

Harmonic imaging is used as default in many ultrasound imaging settings due to its advantages in contrast and resolution compared to fundamental imaging. However, the nonlinear harmonic generation process and higher imaging frequencies induce a stron

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cbf1e1c97e31242517a74d9a1ef7d943
https://doi.org/10.1109/ius52206.2021.9593665

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Resolution Improvement with a Fully Convolutional Neural Network Applied to Aligned Per-Channel data

Autor: Iason Zacharias Apostolakis, Jean-Luc Robert, Sheng-Wen Huang, Faik Can Meral, Francois Guy Gerard Marie Vignon, Junseob Shin

Publikováno v: 2020 IEEE International Ultrasonics Symposium (IUS).

The lateral resolution of ultrasound images is determined by the size of the imaging aperture. Computational techniques have been proposed to improve resolution beyond the diffraction limit (Minimum Variance and Compressive Beamforming), but they lac

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1054f5cb3b7b64633bb6f5ace5b4b0b8
https://doi.org/10.1109/ius46767.2020.9251482

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Adaptive Slow-time Singular Value Thresholding (SVT) based on Stein's Unbiased Risk Estimate (SURE) for Ultrasound Image Random Noise Reduction

Autor: Jean-Luc Robert, Iason Zacharias Apostolakis, Francois Guy Gerard Marie Vignon, Junseob Shin, Ali Sadeghi, Can Meral

Publikováno v: 2020 IEEE International Ultrasonics Symposium (IUS).

Ultrasound (US) image quality often suffers from random and speckle noise. Especially in the case of difficult patients, increased presence of random noise leads to compromised signal to noise ratio (SNR). The proposed technique removes random or spe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::747911484f34d78b9f78fa392b604527
https://doi.org/10.1109/ius46767.2020.9251578

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