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Ryoungwoo Jang

Showing results (1-10 of 9) with videos related to

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Neurospine|January 7, 2020
Deep Learning in Medical ImagingMingyu Kim, Jihye Yun, Yongwon Cho, et al.
Scientific Reports|August 20, 2020
Deep-learning-based image quality enhancement of compressed sensing magnetic resonance imaging of vessel wall: comparison of self-supervised and unsupervised approachesDa-In Eun, Ryoungwoo Jang, Woo Seok Ha, et al.
Scientific Reports|August 17, 2023
Development and validation of a hybrid deep learning-machine learning approach for severity assessment of COVID-19 and other pneumoniasDoohyun Park, Ryoungwoo Jang, Myung Jin Chung, et al.
European Radiology|May 1, 2020
Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learningYoung-Gon Kim, Sang Min Lee, Kyung Hee Lee, et al.
Scientific Reports|October 8, 2021
Prediction of osteoporosis from simple hip radiography using deep learning algorithmRyoungwoo Jang, Jae Ho Choi, Namkug Kim, et al.
Korean Journal of Radiology|February 27, 2024
Updated Primer on Generative Artificial Intelligence and Large Language Models in Medical Imaging for Medical ProfessionalsKiduk Kim, Kyungjin Cho, Ryoungwoo Jang, et al.
Nature Communications|July 22, 2022
Emergency triage of brain computed tomography via anomaly detection with a deep generative modelSeungjun Lee, Boryeong Jeong, Minjee Kim, et al.
JMIR Medical Informatics|August 5, 2020
Assessment of the Robustness of Convolutional Neural Networks in Labeling Noise by Using Chest X-Ray Images From Multiple CentersRyoungwoo Jang, Namkug Kim, Miso Jang, et al.
Korean Journal of Radiology|July 27, 2023
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 DiseaseHye Jeon Hwang, Hyunjong Kim, Joon Beom Seo, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Neurospine|January 7, 2020
Deep Learning in Medical ImagingMingyu Kim, Jihye Yun, Yongwon Cho, et al.
Scientific Reports|August 20, 2020
Deep-learning-based image quality enhancement of compressed sensing magnetic resonance imaging of vessel wall: comparison of self-supervised and unsupervised approachesDa-In Eun, Ryoungwoo Jang, Woo Seok Ha, et al.
Scientific Reports|August 17, 2023
Development and validation of a hybrid deep learning-machine learning approach for severity assessment of COVID-19 and other pneumoniasDoohyun Park, Ryoungwoo Jang, Myung Jin Chung, et al.
European Radiology|May 1, 2020
Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learningYoung-Gon Kim, Sang Min Lee, Kyung Hee Lee, et al.
Scientific Reports|October 8, 2021
Prediction of osteoporosis from simple hip radiography using deep learning algorithmRyoungwoo Jang, Jae Ho Choi, Namkug Kim, et al.
Korean Journal of Radiology|February 27, 2024
Updated Primer on Generative Artificial Intelligence and Large Language Models in Medical Imaging for Medical ProfessionalsKiduk Kim, Kyungjin Cho, Ryoungwoo Jang, et al.
Nature Communications|July 22, 2022
Emergency triage of brain computed tomography via anomaly detection with a deep generative modelSeungjun Lee, Boryeong Jeong, Minjee Kim, et al.
JMIR Medical Informatics|August 5, 2020
Assessment of the Robustness of Convolutional Neural Networks in Labeling Noise by Using Chest X-Ray Images From Multiple CentersRyoungwoo Jang, Namkug Kim, Miso Jang, et al.
Korean Journal of Radiology|July 27, 2023
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 DiseaseHye Jeon Hwang, Hyunjong Kim, Joon Beom Seo, et al.
Pageof 1