Long-Term Examination of Water Chemistry Changes Following Treatment of Cyanobacterial Bloom with Coagulants and Minerals

por Lee, Bokjin, Kang, Heejun, Oh, Hye-cheol, Ahn, Jaehwan, Park, Saerom, Yun, Sang-Leen, Kim, Seogku
Publicado 2022

Effect of different doses of gadolinium contrast agent on clinical outcomes in MS

por Ackermans, Nathalie, Taylor, Carolyn, Tam, Roger, Carruthers, Robert, Kolind, Shannon, Kang, Heejun, Freedman, Mark S, Li, David KB, Traboulsee, Anthony L
Publicado 2019

Fully Automatic Coronary Calcium Score Software Empowered by Artificial Intelligence Technology: Validation Study Using Three CT Cohorts

por Lee, June-Goo, Kim, HeeSoo, Kang, Heejun, Koo, Hyun Jung, Kang, Joon-Won, Kim, Young-Hak, Yang, Dong Hyun
Publicado 2021

Machine Learning–Based Hospital Discharge Prediction for Patients With Cardiovascular Diseases: Development and Usability Study

por Ahn, Imjin, Gwon, Hansle, Kang, Heejun, Kim, Yunha, Seo, Hyeram, Choi, Heejung, Cho, Ha Na, Kim, Minkyoung, Jun, Tae Joon, Kim, Young-Hak
Publicado 2021

Deep learning segmentation of major vessels in X-ray coronary angiography

por Yang, Su, Kweon, Jihoon, Roh, Jae-Hyung, Lee, Jae-Hwan, Kang, Heejun, Park, Lae-Jeong, Kim, Dong Jun, Yang, Hyeonkyeong, Hur, Jaehee, Kang, Do-Yoon, Lee, Pil Hyung, Ahn, Jung-Min, Kang, Soo-Jin, Park, Duk-Woo, Lee, Seung-Whan, Kim, Young-Hak, Lee, Cheol Whan, Park, Seong-Wook, Park, Seung-Jung
Publicado 2019

Electronic Medical Record–Based Machine Learning Approach to Predict the Risk of 30-Day Adverse Cardiac Events After Invasive Coronary Treatment: Machine Learning Model Development...

por Kwon, Osung, Na, Wonjun, Kang, Heejun, Jun, Tae Joon, Kweon, Jihoon, Park, Gyung-Min, Cho, YongHyun, Hur, Cinyoung, Chae, Jungwoo, Kang, Do-Yoon, Lee, Pil Hyung, Ahn, Jung-Min, Park, Duk-Woo, Kang, Soo-Jin, Lee, Seung-Whan, Lee, Cheol Whan, Park, Seong-Wook, Park, Seung-Jung, Yang, Dong Hyun, Kim, Young-Hak
Publicado 2022