Soo-Hyun Kim

Automated segmentation of whole-body CT images for body composition analysis in pediatric patients using a deep neural network

Yeon Jin Cho, S. Yoon, Y. Choi, 2022, European Radiology.

Transradial Cerebral Angiography: Is it Feasible and Safe for Children?

Yeon Jin Cho, Y. Choi, Seunghyun Lee, 2022, CardioVascular and Interventional Radiology.

Automated segmentation of whole-body CT images for body composition analysis in pediatric patients using a deep neural network

Yeon Jin Cho, S. Yoon, Y. Choi, 2022, European Radiology.

Factors influencing outcomes of esophageal balloon dilatation for anastomosis site stenosis after esophageal atresia surgery

Yeon Jin Cho, Y. Choi, Seunghyun Lee, 2022, Pediatric Radiology.

Grey-white matter ratio measured using early unenhanced brain computed tomography shows no correlation with neurological outcomes in patients undergoing targeted temperature management after cardiac arrest.

Dong Hoon Lee, S. Kim, J. Min, 2019, Resuscitation.

Deep Learning-Based Image Conversion Improves the Reproducibility of Computed Tomography Radiomics Features

Yeon Jin Cho, Youngtaek Hong, Y. Choi, 2021, Investigative radiology.

Deep learning reconstruction in pediatric brain MRI: comparison of image quality with conventional T2-weighted MRI

Yeon Jin Cho, J. Lee, Y. Choi, 2022, Neuroradiology.