Hyun-Jin Bae

发表

Data Augmentation Techniques for Deep Learning-Based Medical Image Analyses

Mingyu Kim, Hyun-Jin Bae, 2020, Journal of the Korean Society of Radiology.

Association between long-term exposure to ambient air pollutants and mortality rates because of circulatory and respiratory diseases in South Korea

Namkug Kim, Jeongeun Hwang, J. Kwon, 2020 .

Impact of air pollution on breast cancer incidence and mortality: a nationwide analysis in South Korea

Namkug Kim, B. Ko, Jeongeun Hwang, 2020, Scientific Reports.

Association between long-term exposure to air pollutants and cardiopulmonary mortality rates in South Korea

Namkug Kim, Jeongeun Hwang, J. Kwon, 2020, BMC Public Health.

Image Turing test and its applications on synthetic chest radiographs by using the progressive growing generative adversarial network

Sang Min Lee, J. Seo, Namkug Kim, 2023, Scientific Reports.

Prediction of Neurologically Intact Survival in Cardiac Arrest Patients without Pre-Hospital Return of Spontaneous Circulation: Machine Learning Approach

Namkug Kim, C. Sohn, K. Lim, 2021, Journal of clinical medicine.

Maximum emergency department overcrowding is correlated with occurrence of unexpected cardiac arrest

Namkug Kim, C. Sohn, W. Kim, 2020, Critical Care.

Age and sex subgroups vulnerable to copycat suicide: evaluation of nationwide data in South Korea

Namkug Kim, Jeongeun Hwang, H. Yi, 2019, Scientific Reports.

Deep Learning in Medical Imaging

Namkug Kim, Jihye Yun, Ryoungwoo Jang, 2019, Neurospine.

Realistic High-Resolution Body Computed Tomography Image Synthesis by Using Progressive Growing Generative Adversarial Network: Visual Turing Test

Namkug Kim, G. Hong, Sungwon Park, 2021, JMIR medical informatics.

Realistic High-Resolution Body Computed Tomography Image Synthesis by Using Progressive Growing Generative Adversarial Network: Visual Turing Test (Preprint)

Namkug Kim, G. Hong, Sungwon Park, 2020 .