Hyun-Jic Oh — accepted AI-conference papers

2026

Virtual Multiplex Staining for Histological Images Using a Marker-Wise Conditioned Diffusion Model

Hyun-Jic Oh, Junsik Kim, Zhiyi Shi, Yichen Wu, Yu-An Chen, Peter K Sorger +2

AAAI 2026technical

Multiplex imaging is revolutionizing pathology by enabling the simultaneous visualization of multiple biomarkers within tissue samples, providing molecular-level insights that traditional hematoxylin and eosin (H&E) staining cannot provide. However, the complexity and cost of multiplex data acquisit

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2024

Co-synthesis of Histopathology Nuclei Image-Label Pairs using a Context-Conditioned Joint Diffusion Model

Seonghui Min, Hyun-Jic Oh, Won-Ki Jeong*

ECCV 2024poster

"In multi-class histopathology nuclei analysis tasks, the lack of training data becomes a main bottleneck for the performance of learning-based methods. To tackle this challenge, previous methods have utilized generative models to increase data by generating synthetic samples. However, existing meth…

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