Research Output

Publications

Peer-reviewed papers, preprints, and technical reports.

2024

2024
Updated primer on generative artificial intelligence and large language models in medical imaging for medical professionals
Kiduk Kim et al
Korean Journal of Radiology
PDF DOI
2024
Comparative analysis of gait speed measurement protocols: static start versus dynamic start in a cross-sectional study using light detection and ranging
Sunghwan Ji et al
The Journal of frailty & aging
arXiv DOI

2023

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
Doohyun Park et al
Korean Journal of Radiology
PDF DOI
2023
Learning representations by forward-propagating errors
Ryoungwoo Jang
arXiv Preprint
arXiv
2023
Development and validation of a hybrid deep learning–machine learning approach for severity assessment of COVID-19 and other pneumonias
Doohyun Park et al
Scientific Reports
PDF DOI
2023
Comparing chair stand test protocols: Fifth stand versus fifth sit
Sunghwan Ji et al
Geriatrics and Gerontology International
PDF DOI

2022

2022
Emergency triage of brain computed tomography via anomaly detection with a deep generative model
Seungjun Lee et al
Nature Communications
PDF DOI

2021

2021
Prediction of osteoporosis from simple hip radiography using deep learning algorithm
Ryoungwoo Jang et al
Scientific Reports
PDF DOI
2021
의료영상을 이용한 인공지능 분류 모델 성능을 향상시키기 위한 라벨 노이즈 및 영상 크기에 관한 연구
장령우
석사 학위 논문
PDF
2021
Homeostasis Equation: An Approach to Theoretical Medicine
Ryoungwoo Jang, Sunghwan Ji
bioRxiv Preprint
arXiv
2021
Barcode Method for Generative Model Evaluation driven by Topological Data Analysis
Ryoungwoo Jang et al
arXiv preprint
arXiv
2021
Generative adversarial network for glioblastoma ensures morphologic variations and improves diagnostic model for isocitrate dehydrogenase mutant type
Ji Eun Park et al
Scientific Reports
PDF DOI

2020

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 Eunet al
Scientific Reports
PDF DOI
2020
Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning
Young-Gon Kim et al
European radiology
PDF DOI
2020
Assessment of the robustness of convolutional neural networks in labeling noise by using chest X-ray images from multiple centers
Ryoungwoo Jang et al
JMIR medical informatics
PDF DOI

2019

2019
Deep learning in medical imaging
Mingyu Kim et al
Neurospine
PDF DOI