Výsledky vyhledávání - "KIM, Dong Wook"

Akademický článek

Assessment of Myosteatosis on Computed Tomography by Automatic Generation of a Muscle Quality Map Using a Web-Based Toolkit: Feasibility Study

Autor: Kim, Dong Wook, Kim, Kyung Won, Ko, Yousun, Park, Taeyong, Khang, Seungwoo, Jeong, Heeryeol, Koo, Kyoyeong, Lee, Jeongjin, Kim, Hong-Kyu, Ha, Jiyeon, Sung, Yu Sub, Shin, Youngbin

Publikováno v: JMIR Medical Informatics, Vol 8, Iss 10, p e23049 (2020)

BackgroundMuscle quality is associated with fatty degeneration or infiltration of the muscle, which may be associated with decreased muscle function and increased disability. ObjectiveThe aim of this study is to evaluate the feasibility of automated

Externí odkaz: https://doaj.org/article/837b0e8994dc4a79bb2de8782a580be8

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Clean realization of the Hund physics near the Mott transition: $\mathrm{NiS_2}$ under pressure

Autor: Park, Ina, Jang, Bo Gyu, Kim, Dong Wook, Shim, Ji Hoon, Kotliar, Gabriel

Publikováno v: Phys. Rev. B 109, 045146 (2024)

Strong correlation effects caused by Hund's coupling have been actively studied during the past decade. Hund's metal, strongly correlated while far from the Mott insulating limit, was studied as a representative example. However, recently, it was rev

Externí odkaz: http://arxiv.org/abs/2309.15392

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Morphology-Aware Interactive Keypoint Estimation

Autor: Kim, Jinhee, Kim, Taesung, Kim, Taewoo, Choo, Jaegul, Kim, Dong-Wook, Ahn, Byungduk, Song, In-Seok, Kim, Yoon-Ji

Diagnosis based on medical images, such as X-ray images, often involves manual annotation of anatomical keypoints. However, this process involves significant human efforts and can thus be a bottleneck in the diagnostic process. To fully automate this

Externí odkaz: http://arxiv.org/abs/2209.07163

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RZSR: Reference-based Zero-Shot Super-Resolution with Depth Guided Self-Exemplars

Autor: Yoo, Jun-Sang, Kim, Dong-Wook, Lu, Yucheng, Jung, Seung-Won

Recent methods for single image super-resolution (SISR) have demonstrated outstanding performance in generating high-resolution (HR) images from low-resolution (LR) images. However, most of these methods show their superiority using synthetically gen

Externí odkaz: http://arxiv.org/abs/2208.11313

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