Researchclopedia

Research Researchers Institutions Topics Submit About

Command Palette

Search for a command to run...

Researchclopedia

Research Researchers Institutions About

© 2026 Researchclopedia. Powered by OpenAlex under CC0 license.

Samsung Medison (South Korea) | Researchclopedia

Back to institutions

Samsung Medison (South Korea)

Seoulcompany

71

Works

1,968

Citations

24

h-index

Top Research Topics

Ultrasound Imaging and Elastography Ultrasound and Hyperthermia Applications Photoacoustic and Ultrasonic Imaging

Top Researchers

Jeong Min Lee Ulsan College

1,251 works37,449 citationsh-index: 89

Recent Research

Artificial intelligence based automatic classification, annotation, and measurement of the fetal heart using HeartAssist

Rina Kim,Mi‐Young Lee,et al.

20250 citations

Fetal and Pediatric Neurological Disorders

Prenatal Screening and Diagnostics

Pregnancy and preeclampsia studies

Radiomics and Machine Learning in Medical Imaging

Hepatocellular Carcinoma Treatment and Prognosis

Ultrasonics and Acoustic Wave Propagation

Liver Disease Diagnosis and Treatment

AI in cancer detection

Advanced X-ray and CT Imaging

Jeeyun Lee Yonsei University

1,075 works33,664 citationsh-index: 78

Se Hoon Park University of Nevada, Las Vegas

672 works30,241 citationsh-index: 72

Won Ki Kang Xinjiang Medical University

636 works25,371 citationsh-index: 71

Kyoung‐Mee Kim Samsung Medical Center

583 works17,891 citationsh-index: 64

Keun Lee Canadian Institute for Advanced Research

592 works14,937 citationsh-index: 58

Design and Evaluation of a Weighted Periodic Sparse Array for Low-Complexity 1-D Phased Array Ultrasound Imaging Systems

Doyoung Jang,Heechul Yoon,et al.

20242 citations

EP01.18: Automatic fetal nuchal translucency measurement using deep learning‐based three‐dimensional segmentation network in non‐supine positioned fetus

Hyuk Hur,Young‐Chul Jung,et al.

20240 citations

EP02.14: The new 3D‐based fetal segmentation and visualisation method

Yuh‐Seog Jung,Hwi Kim,et al.

20230 citations

OC01.08: A novel technology based on deep learning for the identification and classification of fetal structures in the first trimester

Sung‐Hoo Hong,Ok‐Hee Kim,et al.

20230 citations

EP02.07: Novel algorithm of standard plane detection in second trimester fetal neurosonography using three‐dimensional automatic segmentation

Young‐Chul Jung,Hee Jung Kwon,et al.

20230 citations