Scholar
Hyun-Jic Oh
Google Scholar ID: wwcyjfAAAAAJ
Korea University
Citations & Impact
Citations
98
H-index
6
i10-index
2
Publications
12
Co-authors
11
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published several papers on medical image analysis and deep learning, including but not limited to: S2L-CM: Scribble-supervised Nuclei Segmentation in Histopathology Images using Contrastive Regularization and Pixel-Level Multiple Instance Learning (CIBM, 2025); Synthetic Data Augmentation using Pre-trained Diffusion Models for Long-tailed Food Image Classification (MetaFood Workshop at CVPR 2025); Co-synthesis of Histopathology Nuclei Image-Label Pairs using a Context-Conditioned Joint Diffusion Model (ECCV, 2024), etc.
Research Experience
- Research Intern at Harvard University's Visual Computing Group (Apr 2024 - Mar 2025); Exchange Student at Chapman University (Spring 2020); Language Program at East China Normal University (Summer 2016).
Education
- PhD Student in Computer Science at Korea University, expected to graduate in Feb 2026; B.S. in Biomedical Engineering from Korea University.
Background
- A PhD student in Computer Science focusing on advancing medical image analysis through innovative deep learning techniques, particularly leveraging diffusion models. As a research intern at the Visual Computing Group of Harvard University, developing diffusion model-based algorithms for multiplexed pathology image translation.
Miscellany
- Participated in academic exchanges or study experiences in various countries and regions, such as the United States and China.
