| 2026 | AAAI | 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, Hanspeter Pfister, Won-Ki Jeong |
| 2025 | CVPR | Synthetic Data Augmentation using Pre-trained Diffusion Models for Long-tailed Food Image Classification. | GaYeon Koh, Hyun-Jic Oh, Jeonghyun Noh, Won-Ki Jeong |
| 2024 | ECCV | Co-synthesis of Histopathology Nuclei Image-Label Pairs Using a Context-Conditioned Joint Diffusion Model. | Seonghui Min, Hyun-Jic Oh, Won-Ki Jeong |
| 2024 | MICCAI | Reference-Free Axial Super-Resolution of 3D Microscopy Images Using Implicit Neural Representation with a 2D Diffusion Prior. | Kyungryun Lee, Won-Ki Jeong |
| 2024 | MICCAI | Controllable and Efficient Multi-class Pathology Nuclei Data Augmentation Using Text-Conditioned Diffusion Models. | Hyun-Jic Oh, Won-Ki Jeong |
| 2024 | MICCAI | Clinical-Grade Multi-organ Pathology Report Generation for Multi-scale Whole Slide Images via a Semantically Guided Medical Text Foundation Model. | Jing Wei Tan, SeungKyu Kim, Eunsu Kim, Sung Hak Lee, Sangjeong Ahn, Won-Ki Jeong |
| 2023 | MICCAI | Evaluation and Improvement of Segment Anything Model for Interactive Histopathology Image Segmentation. | SeungKyu Kim, Hyun-Jic Oh, Seonghui Min, Won-Ki Jeong |
| 2023 | MICCAI | Reference-Free Isotropic 3D EM Reconstruction Using Diffusion Models. | Kyungryun Lee, Won-Ki Jeong |
| 2023 | MICCAI | DiffMix: Diffusion Model-Based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets. | Hyun-Jic Oh, Won-Ki Jeong |
| 2023 | MICCAI | Histopathology Image Classification Using Deep Manifold Contrastive Learning. | Jing Wei Tan, Won-Ki Jeong |
| 2023 | PacificVis | Dimensionality Explorer for Single-Cell Analysis. | Haejin Jeong, Hyoung-oh Jeong, Semin Lee, Won-Ki Jeong |
| 2022 | VR | HoloInset: 3D Biomedical Image Data Exploration through Augmented Hologram Insets. | Junyoung Choi, Haejin Jeong, Won-Ki Jeong |
| 2022 | VRST | Virtual Air Conditioner's Airflow Simulation and Visualization in AR. | Joohwan Chae, Donghan Kim, Woo Seok Jeong, Eunchan Jo, Won-Ki Jeong, Junyoung Choi, Seung-wook Kim, MyoungGon Kim, Jae-Won Lee, Hyechan Lee, JungHyun Han |
| 2021 | CVPR | ColorRL: Reinforced Coloring for End-to-End Instance Segmentation. | Tuan Tran Anh, Khoa Nguyen-Tuan, Tran Minh Quan, Won-Ki Jeong |
| 2020 | MICCAI | Scribble2Label: Scribble-Supervised Cell Segmentation via Self-generating Pseudo-Labels with Consistency. | Hyeonsoo Lee, Won-Ki Jeong |
| 2018 | MICCAI | DeepHCS: Bright-Field to Fluorescence Microscopy Image Conversion Using Deep Learning for Label-Free High-Content Screening. | Gyuhyun Lee, Jeong-Woo Oh, Mi-Sun Kang, Nam-Gu Her, Myoung-Hee Kim, Won-Ki Jeong |
| 2017 | CCGRID | GPU in-memory processing using Spark for iterative computation. | Sumin Hong, Woohyuk Choi, Won-Ki Jeong |
| 2017 | MICCAI | ssEMnet: Serial-Section Electron Microscopy Image Registration Using a Spatial Transformer Network with Learned Features. | Inwan Yoo, David G. C. Hildebrand, Willie F. Tobin, Wei-Chung Allen Lee, Won-Ki Jeong |
| 2016 | ICCS | A Multi-GPU Fast Iterative Method for Eikonal Equations Using On-the-fly Adaptive Domain Decomposition. | Sumin Hong, Won-Ki Jeong |
| 2016 | MICCAI | Compressed Sensing Dynamic MRI Reconstruction Using GPU-accelerated 3D Convolutional Sparse Coding. | Tran Minh Quan, Won-Ki Jeong |
| 2015 | MICCAI | Multi-GPU Reconstruction of Dynamic Compressed Sensing MRI. | Tran Minh Quan, Sohyun Han, Hyungjoon Cho, Won-Ki Jeong |
| 2014 | ICIP | A fast mixed-band lifting wavelet transform on the GPU. | Tran Minh Quan, Won-Ki Jeong |
| 2011 | ICCP | Display-aware image editing. | Won-Ki Jeong, Micah K. Johnson, Insu Yu, Jan Kautz, Hanspeter Pfister, Sylvain Paris |
| 2011 | MICCAI | Neural Process Reconstruction from Sparse User Scribbles. | Mike Roberts, Won-Ki Jeong, Amelio Vzquez Reina, Markus Unger, Horst Bischof, Jeff Lichtman, Hanspeter Pfister |
| 2011 | SIGGRAPH | Demand-driven volume rendering of terascale EM data. | Johanna Beyer, Markus Hadwiger, Won-Ki Jeong, Hanspeter Pfister, Jeff Lichtman |
| 2011 | SiggraphA | Interactive large-scale image editing using operator reduction. | Manhee Lee, Won-Ki Jeong, Hanspeter Pfister |
| 2003 | PG | Neural Meshes: Statistical Learning Based on Normals. | Won-Ki Jeong, Ioannis P. Ivrissimtzis, Hans-Peter Seidel |
| 2002 | PG | Subdivision Surface Simplification. | Won-Ki Jeong, Kolja Khler, Hans-Peter Seidel |
| 2001 | PG | Direct Reconstruction of Displaced Subdivision Surface from Unorganized Points. | Won-Ki Jeong, Chang-Hun Kim |