日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Antenna Design and Construction of a Free-Pass System for Hi-Pass Type Ticket Gates in Subways for Transportation-Disadvantaged Individuals

地铁高位通行证闸机免费通行系统的天线设计与建造,旨在为交通不便人士提供帮助

Lee, Yunsub; Lee, Cholu; Yoon, Cheol; Kim, Woosu

Evaluation of Motion Artifact Correction Technique for Cone-Beam Computed Tomography Image Considering Blood Vessel Geometry

考虑血管几何形状的锥束计算机断层扫描图像运动伪影校正技术评估

Jung, Yunsub; Lee, Ho; Jun, Hoyong; Cho, Soobuem

A method for comparing MRI sequences of the knee for segmentation based on morphological features

一种基于形态特征比较膝关节MRI序列进行分割的方法

Jung, Yunsub; Simonsen, Morten Bilde; Andersen, Michael Skipper

Comprehensive evaluation of artifact reduction and tissue recovery effects of metal artifact reduction technique based on full-reference metric

基于全参考指标的金属伪影减少技术对伪影减少和组织恢复效果的综合评价

Jung, Yunsub; Song, You Seon; Lee, In Sook; Rhee, Seung Joon

Clinical Feasibility of Deep Learning-Based Image Reconstruction on Coronary Computed Tomography Angiography

基于深度学习的冠状动脉计算机断层扫描血管造影图像重建的临床可行性

Koo, Seul Ah; Jung, Yunsub; Um, Kyoung A; Kim, Tae Hoon; Kim, Ji Young; Park, Chul Hwan

Radiation dose reduction using deep learning-based image reconstruction for a low-dose chest computed tomography protocol: a phantom study

基于深度学习的图像重建技术在低剂量胸部计算机断层扫描方案中降低辐射剂量的应用:一项体模研究

Jung, Yunsub; Hur, Jin; Han, Kyunghwa; Imai, Yasuhiro; Hong, Yoo Jin; Im, Dong Jin; Lee, Kye Ho; Desnoyers, Melissa; Thomsen, Brian; Shigemasa, Risa; Um, Kyounga; Jang, Kyungeun

Evaluation of Abdominal CT Obtained Using a Deep Learning-Based Image Reconstruction Engine Compared with CT Using Adaptive Statistical Iterative Reconstruction

基于深度学习图像重建引擎的腹部CT图像与自适应统计迭代重建CT图像的比较评价

Yoo, Yeo Jin; Choi, In Young; Yeom, Suk Keu; Cha, Sang Hoon; Jung, Yunsub; Han, Hyun Jong; Shim, Euddeum