Scribble-Supervised Cell Segmentation Using Multiscale Contrastive Regularization. - Hyun-Jic Oh; Kanggeun Lee; Won-Ki Jeong (ISBI, 2022)

Evaluation and Improvement of Segment Anything Model for Interactive Histopathology Image Segmentation. - Seungkyu Kim; Hyun-Jic Oh; Seonghui Min; Won-Ki Jeong (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

DiffMix: Diffusion Model-Based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets. - Hyun-Jic Oh; Won-Ki Jeong (MICCAI (3), 2023)

Co-synthesis of Histopathology Nuclei Image-Label Pairs Using a Context-Conditioned Joint Diffusion Model. - Seonghui Min; Hyun-Jic Oh; Won-Ki Jeong (ECCV (13), 2024)

Controllable and Efficient Multi-class Pathology Nuclei Data Augmentation Using Text-Conditioned Diffusion Models. - Hyun-Jic Oh; Won-Ki Jeong (MICCAI (4), 2024)

MitoVis: A Unified Visual Analytics System for End-to-End Neuronal Mitochondria Analysis. - Junyoung Choi; Hyun-Jic Oh; Hakjun Lee; Suyeon Kim; Seok-Kyu Kwon; Won-Ki Jeong (IEEE Trans. Vis. Comput. Graph., 2024)

Synthetic Data Augmentation using Pre-trained Diffusion Models for Long-tailed Food Image Classification. - GaYeon Koh; Hyun-Jic Oh; Jeonghyun Noh; Won-Ki Jeong (CVPR Workshops, 2025)

S2L-CM: Scribble-supervised nuclei segmentation in histopathology images using contrastive regularization and pixel-level multiple instance learning. - Hyun-Jic Oh; Seonghui Min; Won-Ki Jeong (Comput. Biol. Medicine, 2025)

Spatial-Temporal Pre-Training for Embryo Viability Prediction Using Time-Lapse Videos. - Zhiyi Shi; Junsik Kim 001; Helen Y. Yang; Yonghyun Song; Hyun-Jic Oh; Dalit Ben-Yosef; Daniel Needleman; Hanspeter Pfister (CoRR, 2025)