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

Updated Primer on Generative Artificial Intelligence and Large Language Models in Medical Imaging for Medical Professionals

面向医学专业人员的医学影像生成式人工智能和大型语言模型入门指南(更新版)

Kim, Kiduk; Cho, Kyungjin; Jang, Ryoungwoo; Kyung, Sunggu; Lee, Soyoung; Ham, Sungwon; Choi, Edward; Hong, Gil-Sun; Kim, Namkug

Generative Adversarial Network-Based Image Conversion Among Different Computed Tomography Protocols and Vendors: Effects on Accuracy and Variability in Quantifying Regional Disease Patterns of Interstitial Lung Disease

基于生成对抗网络的图像转换在不同计算机断层扫描协议和厂商间的表现:对量化间质性肺疾病区域性疾病模式的准确性和变异性的影响

Hwang, Hye Jeon; Kim, Hyunjong; Seo, Joon Beom; Ye, Jong Chul; Oh, Gyutaek; Lee, Sang Min; Jang, Ryoungwoo; Yun, Jihye; Kim, Namkug; Park, Hee Jun; Lee, Ho Yun; Yoon, Soon Ho; Shin, Kyung Eun; Lee, Jae Wook; Kwon, Woocheol; Sun, Joo Sung; You, Seulgi; Chung, Myung Hee; Gil, Bo Mi; Lim, Jae-Kwang; Lee, Youkyung; Hong, Su Jin; Choi, Yo Won

Development and validation of a hybrid deep learning-machine learning approach for severity assessment of COVID-19 and other pneumonias

开发和验证一种用于评估 COVID-19 和其他肺炎严重程度的混合深度学习-机器学习方法

Park, Doohyun; Jang, Ryoungwoo; Chung, Myung Jin; An, Hyun Joon; Bak, Seongwon; Choi, Euijoon; Hwang, Dosik

Emergency triage of brain computed tomography via anomaly detection with a deep generative model

基于深度生成模型的异常检测在脑部计算机断层扫描紧急分诊中的应用

Lee, Seungjun; Jeong, Boryeong; Kim, Minjee; Jang, Ryoungwoo; Paik, Wooyul; Kang, Jiseon; Chung, Won Jung; Hong, Gil-Sun; Kim, Namkug

Prediction of osteoporosis from simple hip radiography using deep learning algorithm

利用深度学习算法,通过简单的髋关节X光片预测骨质疏松症

Jang, Ryoungwoo; Choi, Jae Ho; Kim, Namkug; Chang, Jae Suk; Yoon, Pil Whan; Kim, Chul-Ho

Assessment of the Robustness of Convolutional Neural Networks in Labeling Noise by Using Chest X-Ray Images From Multiple Centers

利用来自多个中心的胸部X光图像评估卷积神经网络在噪声标注中的鲁棒性

Jang, Ryoungwoo; Kim, Namkug; Jang, Miso; Lee, Kyung Hwa; Lee, Sang Min; Lee, Kyung Hee; Noh, Han Na; Seo, Joon Beom