CV

Jinsu Lee

Data Science Research Department, Seoul National University Hospital, Republic of Korea

Contact

• • Tel: +82-10-2395-0123

  • Email: snuhjslee@gmail.com

Education

• • Master Degree in Computer Software, University of Science and Technology (UST), Republic of Korea (2017. 03. ~ 2019.02.)

  • Bachelor Degree in Information Statistics, Chungnam National University, Republic of Korea (2011. 03. ~ 2017. 02.) 

* served military duty in the army (Republic of Korea ARMY, 한국 육군) (2012.10.16 ~ 2014.07.15.)

Experiences

• • Staff in Seoul National University Hospital, Republic of Korea (2021 ~)

  • Trainee Researcher in Electronics and Telecommunications Research Institute(ETRI), Republic of Korea (2017 ~ 2019)

  • Student Internship in Korea Research Institute of Standard and Science(KRISS), Republic of Korea. (2016)

Publications

• Domestic Conference

  • Jinsu Lee, Junseong Bang, and Seong-Il Yang, "Visualization Service of Book Location using Feature Matching of Sliding Window in CCTV Image", 2017 The Korean Institute of Communications and Information Sciences (KICS) Summer Conference.

  • Si-Hwan Jang, Jin-Su Lee, and Seong-Il Yang, "Gamer Clustering based on Common Behavioral Index in Mobile RPG Game", 2017 The Institute of Electronics and Information Engineers (IEIE) Summer Conference, 2017.

  • Sang-Kwang Lee, Seung-Jin Hong, Jin-Su Lee, Dae-Wook Kim, and Seong-Il Yang, "Ship Detection Based on Region Proposal Algorithms", 2018 The Institute of Electronics and Information Engineers (IEIE) Summer Conference, 2018.

  • Si-Hwan Jang, Jin-Su Lee, and Seong-Il Yang, "User behavior analysis according to environmental change in mobile game", Korean Institute of Information and Telecommunication Facilities Engineering (ITFE) Summer Conference, 2018.

• Domestic Journal

• • • Jinsu Lee, Sang-Kwang Lee, Dae-Wook Kim, Seung-Jin Hong, and Seong-Il Yang, "Trends on Object Detection Techniques Based on Deep Learning", Electorinics and Telecommunications Trends, 2018.

    • Jin-Su Lee, Sang-Kwang Lee, Seong-Il Yang, "Model Ensemble for Speed Enhancement in Object Detection", Journal of the Institute of Electronics and Information Engineers, 2019.

• International Conference

  • Jinsu Lee, Junseong Bang, and Seong-Il Yang, "Object Detection with Sliding Window in Images Including Multiple Similar Objects", ICTC 2017.

  • Jinsu Lee, Sang-Kwang Lee, and Seong-Il Yang, "Ensemble Method of CNN Models for Object Detection", ICTC 2018.

  • Hwa-Yeon Kim, Jinsu Lee, Na Young Yeo, Marcella Astrid, Seung-Ik Lee, and Young-Kil Kim, "CNN based Sentence Classification with Semantic Features using Word Clustering", ICTC 2018.

  • Jinsu Lee, Soo-Yeon Kim, Young-Gon Kim, "Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer with DCE-MRI Images using 3D CNN Model", MICCAI-AMAI2023 Workshop.

• International Journal

  • Sang Won Park, Na Young Yeo, Jinsu Lee, Suk-Hee Lee, Junghyun Byun, Dong Young Park, Sujin Yum, Jung-Kyeom Kim, Gihwan Byeon, Yeshin Kim & Jae-Won Jang, "Machine learning application for classification of Alzheimer's disease stages using 18F-flortaucipir positron emission tomography", BioMedical Engineering OnLine, 2023.

Research Projects

• • "Development of game service optimization platform for intelligent in-game resource management", Trainee Researcher, ETRI, Republic of Korea (2017. 03. 01 ~ 2018. 12. 31.)

  • "MRI-based deep learning model for the prediction of pathologic complete response after neoadjuvant chemotherapy in breast cancer",  Researcher, Seoul National University Hospital, Republic of Korea (2022.09.01 ~ 2023.07.31)

Competitions

• • "Hackathon for developing artificial intelligence AI imaging diagnosis using medical big data 2022", South Korean Ministry of Trade, Industry and Energy(MOTIE) - Excellence Award

Development & Implementation

• Programming Experiences

  • Python, R

• Database Experiences

  • Elasticsearch, MongoDB