CNN-based Estimation of Abdominal Circumference from Ultrasound images. - Jaeseong Jang; Ja-Young Kwon; Bukweon Kim; Sung Min Lee; Yejin Park; Jin Keun Seo (CoRR, 2017)

Automatic Estimation of Fetal Abdominal Circumference From Ultrasound Images. - Jaeseong Jang; Yejin Park; Bukweon Kim; Sung Min Lee; Ja-Young Kwon; Jin Keun Seo (IEEE J. Biomed. Health Informatics, 2018)

Applications of Converged Various Forces for Detection of Biomolecules and Novelty of Dielectrophoretic Force in the Applications. - Seungjun Lee; Seong Min Roh; Eunji Lee; Yejin Park; Byung Chul Lee; Youngeun Kwon; Hye Jin Kim; Jinsik Kim (Sensors, 2020)

Complementary Network for Accurate Amniotic Fluid Segmentation From Ultrasound Images. - Siyu Sun; Ja-Young Kwon; Yejin Park; Hyun Cheol Cho; Chang Min Hyun; Jin Keun Seo (IEEE Access, 2021)

Automated ultrasound assessment of amniotic fluid index using deep learning. - Hyun Cheol Cho; Siyu Sun; Chang Min Hyun; Ja-Young Kwon; Bukweon Kim; Yejin Park; Jin Keun Seo (Medical Image Anal., 2021)

Forecasting Future Topic Trends in the Blockchain Domain: Using Graph Convolutional Network. - Yejin Park; Seonkyu Lim; Changdai Gu; Min Song (EEKE/AII@JCDL, 2023)

Heading Towards Sub-Discipline Rankings for Higher Education Institutions. - Muhammad Sajid Qureshi; Ali Daud; Malik Khizar Hayat; Min Song 001; Yejin Park (IEEE Trans. Comput. Soc. Syst., 2023)

Forecasting topic trends of blockchain utilizing topic modeling and deep learning-based time-series prediction on different document types. - Yejin Park; Seonkyu Lim; Changdai Gu; Arida Ferti Syafiandini; Min Song 001 (J. Informetrics, 2025)