Search Results - "Kim, Hyeongyu"

Unidirectional magnetoresistance in an insulating compensated ferrimagnet by Kim, Hyeongyu, Cao Van, Phuoc, Jo, Younghun, Jeong, Jong-Ryul, Kim, Kab-Jin

“…We investigate the unidirectional magnetoresistance (UMR) in a GdIG(Gd3Fe5O12)/Pt bilayer. We find a suppression of the observed UMR as the magnetic field…”
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Deposition of Crystalline GdIG Samples Using Metal Organic Decomposition Method by Kim, Hyeongyu, Van, Phuoc-Cao, Jung, Hyeonjung, Yang, Jiseok, Jo, Younghun, Yoo, Jung-Woo, Park, Albert M., Jeong, Jong-Ryul, Kim, Kab-Jin

“…Fabrication of high quality ferrimagnetic insulators is an essential step for ultrafast magnonics, which utilizes antiferromagnetic exchange of the…”
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Design and Analysis of Near-IR Photodetector Using Machine Learning Approach by Oh, Sein, Kim, Hyeongyu, Meyyappan, M., Kim, Kihyun

“…Customization of silicon photodiodes (SiPDs) for specific target wavelengths has become increasingly important in the rapidly evolving domains of optical…”
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Silicon pillars decorated with SWCNT-COOH for gas sensors by Kim, Hyeongyu, Kim, Kihyun, Kim, Beomseok, Han, Jin-woo, Meyyappan, M.

“…Silicon nano and micropillars have received considerable attention because they can be readily produced on wafer scale using conventional top-down techniques,…”
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SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation by Shin, Hyungseob, Kim, Hyeongyu, Kim, Sewon, Jun, Yohan, Eo, Taejoon, Hwang, Dosik

“…Recent advances in deep learning-based medical image segmentation studies achieve nearly human-level performance in fully supervised manner. However, acquiring…”
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Spin Hall magnetoresistance and the effect of post-annealing temperature in the MOD-grown HoIG by Cao Van, Phuoc, Kim, Hyeongyu, Nguyen Thi, Trinh, Duong Viet, Duc, Cao, Viet Anh, Nah, Junhyo, Park, Sang J., Jin, Hyungyu, Jo, Younghun, Park, Seung-Young, Park, Jungjae, Yuk, Jong Min, Kim, Kab-Jin, Jeong, Jong-Ryul

“…We present the fabrication of ultrathin Ho3Fe5O12 (HoIG) films on 111- oriented-Gd3Ga5O12 (GGG) via the metal-organic decomposition (MOD) method followed by a…”
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Analysis of beam landing shifts due to thermal deformations of a shadow mask by Kim, Hyeongyu, Im, Seyoung

“…Finite element analysis is performed for the purpose of calculating the landing shift of electron beams due to thermal deformations of a shadow mask. For…”
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Image-to-Image Translation for Near-Infrared Image Colorization by Kim, Hyeongyu, Kim, Jonghyun, Kim, Joongkyu

“…In the existing near-infrared image colorization methods, the main obstacles are distortion of color consistency and texture. We propose a feature fusion…”
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SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation by Shin, Hyungseob, Kim, Hyeongyu, Kim, Sewon, Jun, Yohan, Eo, Taejoon, Hwang, Dosik

“…Recent advances in deep learning-based medical image segmentation studies achieve nearly human-level performance in fully supervised manner. However, acquiring…”
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Rethinking Pixel-Wise Loss for Face Super-Resolution by Kim, Jonghyun, Lee, Jiun, Kim, Hyeongyu, Song, Wonjoon, Kim, Joongkyu

“…Face super-resolution has become much attractive in terms of its applications, i.e., video surveillance, and face identification system. However, it is…”
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COSMOS: Cross-Modality Unsupervised Domain Adaptation for 3D Medical Image Segmentation based on Target-aware Domain Translation and Iterative Self-Training by Shin, Hyungseob, Kim, Hyeongyu, Kim, Sewon, Jun, Yohan, Eo, Taejoon, Hwang, Dosik

“…Recent advances in deep learning-based medical image segmentation studies achieve nearly human-level performance when in fully supervised condition. However,…”
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Self-Training Based Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation by Shin, Hyungseob, Kim, Hyeongyu, Kim, Sewon, Jun, Yohan, Eo, Taejoon, Hwang, Dosik

“…With the advances of deep learning, many medical image segmentation studies achieve human-level performance when in fully supervised condition. However, it is…”
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