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Neurospine
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January 7, 2020
Deep Learning in Medical Imaging
Mingyu 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 approaches
Da-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 pneumonias
Doohyun 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 learning
Young-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 algorithm
Ryoungwoo 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 Professionals
Kiduk 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 model
Seungjun 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 Centers
Ryoungwoo 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 Disease
Hye Jeon Hwang, Hyunjong Kim, Joon Beom Seo, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
Neurospine
|
January 7, 2020
Deep Learning in Medical Imaging
Mingyu 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 approaches
Da-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 pneumonias
Doohyun 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 learning
Young-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 algorithm
Ryoungwoo 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 Professionals
Kiduk 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 model
Seungjun 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 Centers
Ryoungwoo 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 Disease
Hye Jeon Hwang, Hyunjong Kim, Joon Beom Seo, et al.
Page
of 1