• E-mail: j.hoon@dgist.ac.kr

• Homepage: https://jae-hoon-jeong.github.io/  

• LinkedIn: https://www.linkedin.com/in/jaehoon-jeong-960213jjh/details/skills/ 

• Office: E5 421

• Research Interest

Computer Vision

Medical AI

Vision Language Model

Nuclei Analysis

Cytoplasm Analysis

Whole Slide Image Analysis

Multi-Task Learning

• Education

2019, B.S, School of Undergraduated Studies, DGIST, Daegu, South Korea 

• Experience

2026.04 - present, Research Collaborator, LG AI Research, Korea.

2025.04 - 2026.04, Internship, LG AI Research, Korea.

2017.06 - 2017.08, Internship, Motion Control Lab, DGUST.

• Projects and Co-works

Quantitative Cell-based Scoring (QCS) of LILRB1 and HLA-G IHC Images for Responder Analysis w/ LG AI Research and LG Chemical

Cytoplasm segmentation on IHC Image w/ LG AI Research

WSI Slide MSS-MSI Classification and Segmentation w/ Asan Medical Center

Melanoma Tumor-Infiltrating Lymphocytes Segmentation w/ Gangneung Asan Hospital

Endometrial Cancer Classification and Segmentation w/ Asan Medical Center

Microscopy Tumor–Inflammation–Normal Classification w/ Korea University Medicine

Development of AI-based Multimodal Endomicroscope for In Situ Diagnosis of Cancer Funded by the Ministry of Trade, Industry and Energy, the Ministry of Science and ICT, and the Ministry of Health and Welfare (Project No. 20001533)

Artificial Intelligence for Localizing Toxicity in Pathological Images w/ DGIST (Daegu Gyeongbuk Institute of Science and Technology)