| 2026 | CHI | Seeing Your Mindless Face: How Viewing One's Live Self Interrupts Mindless Short-Form Video Scrolling. | Kyungjin Kim, Minjeong Kim, Soobeen Jeong, Jiyeon So, Hayeon Song |
| 2025 | DATE | ML-Based Fast and Accurate Performance Modeling and Prediction for High-Speed Memory Interfaces Across Different Technologies. | Taehoon Kim, Minjeong Kim, Hankyu Chi, Byungjun Kang, Eunji Song, Woo-Seok Choi |
| 2025 | MICCAI | MARSeg: Enhancing Medical Image Segmentation with MAR and Adaptive Feature Fusion. | Jeonghyun Hwang, Seungyeon Rhee, Minjeong Kim, Thanaporn Viriyasaranon, Jang-Hwan Choi |
| 2024 | MICCAI | From Pixel Scores to Clinical Impacts: The Implicit Choices in FROC Metric Design and Their Consequences. | Minjeong Kim, Hesham Dar, Sanguk Park, Thijs Kooi |
| 2023 | MICCAI | Enhance Early Diagnosis Accuracy of Alzheimer's Disease by Elucidating Interactions Between Amyloid Cascade and Tau Propagation. | Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu |
| 2023 | MICCAI | TauFlowNet: Uncovering Propagation Mechanism of Tau Aggregates by Neural Transport Equation. | Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu |
| 2023 | MICCAI | Uncovering Structural-Functional Coupling Alterations for Neurodegenerative Diseases. | Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu |
| 2023 | MICCAI | Enhancing Breast Cancer Risk Prediction by Incorporating Prior Images. | Hyeonsoo Lee, Junha Kim, Eunkyung Park, Minjeong Kim, Taesoo Kim, Thijs Kooi |
| 2023 | MICCAI | Convolving Directed Graph Edges via Hodge Laplacian for Brain Network Analysis. | Joonhyuk Park, Yechan Hwang, Minjeong Kim, Moo K. Chung, Guorong Wu, Won Hwa Kim |
| 2021 | ICASSP | St-Bert: Cross-Modal Language Model Pre-Training for End-to-End Spoken Language Understanding. | Minjeong Kim, Gyuwan Kim, Sang-Woo Lee, Jung-Woo Ha |
| 2020 | MICCAI | Estimating Common Harmonic Waves of Brain Networks on Stiefel Manifold. | Jiazhou Chen, Guoqiang Han, Hongmin Cai, Junbo Ma, Minjeong Kim, Paul J. Laurienti, Guorong Wu |
| 2019 | AFT | Impossibility of Full Decentralization in Permissionless Blockchains. | Yujin Kwon, Jian Liu, Minjeong Kim, Dawn Song, Yongdae Kim |
| 2019 | MICCAI | Revealing Functional Connectivity by Learning Graph Laplacian. | Minjeong Kim, Amr Moussa, Peipeng Liang, Daniel Kaufer, Paul J. Laurienti, Guorong Wu |
| 2019 | MICCAI | Constructing Multi-scale Connectome Atlas by Learning Graph Laplacian of Common Network. | Minjeong Kim, Xiaofeng Zhu, Zi-Wen Peng, Peipeng Liang, Daniel Kaufer, Paul J. Laurienti, Guorong Wu |
| 2017 | MICCAI | Deformable Image Registration Based on Similarity-Steered CNN Regression. | Xiaohuan Cao, Jianhua Yang, Jun Zhang, Dong Nie, Minjeong Kim, Qian Wang, Dinggang Shen |
| 2017 | MICCAI | Efficient Groupwise Registration for Brain MRI by Fast Initialization. | Pei Dong, Xiaohuan Cao, Jun Zhang, Minjeong Kim, Guorong Wu, Dinggang Shen |
| 2017 | MICCAI | Multimodal Hyper-connectivity Networks for MCI Classification. | Yang Li, Xinqiang Gao, Biao Jie, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen |
| 2017 | MICCAI | Structural Connectivity Guided Sparse Effective Connectivity for MCI Identification. | Yang Li, Jingyu Liu, Mei-Lin Luo, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen |
| 2017 | MICCAI | Fusion of High-Order and Low-Order Effective Connectivity Networks for MCI Classification. | Yang Li, Jingyu Liu, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen |
| 2017 | MICCAI | Novel Effective Connectivity Network Inference for MCI Identification. | Yang Li, Hao Yang, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen |
| 2017 | MICCAI | Personalized Diagnosis for Alzheimer's Disease. | Yingying Zhu, Minjeong Kim, Xiaofeng Zhu, Jin Yan, Daniel Kaufer, Guorong Wu |
| 2016 | MICCAI | Dual-Layer Groupwise Registration for Consistent Labeling of Longitudinal Brain Images. | Minjeong Kim, Guorong Wu, Isrem Rekik, Dinggang Shen |
| 2016 | MICCAI | Early Diagnosis of Alzheimer's Disease by Joint Feature Selection and Classification on Temporally Structured Support Vector Machine. | Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Dinggang Shen, Guorong Wu |
| 2016 | MICCAI | Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph. | Chen Zu, Yue Gao, Brent C. Munsell, Minjeong Kim, Zi-Wen Peng, Yingying Zhu, Wei Gao, Daoqiang Zhang, Dinggang Shen, Guorong Wu |
| 2015 | MICCAI | Medical Image Retrieval Using Multi-graph Learning for MCI Diagnostic Assistance. | Yue Gao, Ehsan Adeli-Mosabbeb, Minjeong Kim, Panteleimon Giannakopoulos, Sven Haller, Dinggang Shen |
| 2015 | MICCAI | MCI Identification by Joint Learning on Multiple MRI Data. | Yue Gao, Chong-Yaw Wee, Minjeong Kim, Panteleimon Giannakopoulos, Marie-Louise Montandon, Sven Haller, Dinggang Shen |
| 2015 | MICCAI | Improving Accuracy of Automatic Hippocampus Segmentation in Routine MRI by Features Learned from Ultra-High Field MRI. | Shuyu Li, Feng Shi, Guangkai Ma, Minjeong Kim, Dinggang Shen |
| 2014 | IROS | Cartesian sensor-less force control for industrial robots. | Hyunchul Cho, Minjeong Kim, Hyunkyu Lim, Donghyeok Kim |
| 2013 | MICCAI | Unsupervised Deep Learning for Hippocampus Segmentation in 7.0 Tesla MR Images. | Minjeong Kim, Guorong Wu, Dinggang Shen |
| 2013 | MICCAI | Brain-Cloud: A Generalized and Flexible Registration Framework for Brain MR Images. | Minjeong Kim, Guorong Wu, Qian Wang, Dinggang Shen |
| 2013 | MICCAI | Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images. | Guorong Wu, Minjeong Kim, Qian Wang, Yaozong Gao, Shu Liao, Dinggang Shen |
| 2012 | MICCAI | Sparse Patch-Guided Deformation Estimation for Improved Image Registration. | Minjeong Kim, Guorong Wu, Dinggang Shen |
| 2012 | MICCAI | Multiple Atlases-Based Joint Labeling of Human Cortical Sulcal Curves. | Ilwoo Lyu, Gang Li, Minjeong Kim, Dinggang Shen |
| 2012 | MICCAI | Hierarchical Attribute-Guided Symmetric Diffeomorphic Registration for MR Brain Images. | Guorong Wu, Minjeong Kim, Qian Wang, Dinggang Shen |
| 2011 | MICCAI | Directed Graph Based Image Registration. | Hongjun Jia, Guorong Wu, Qian Wang, Yaping Wang, Minjeong Kim, Dinggang Shen |
| 2011 | MICCAI | Segmenting Hippocampus from 7.0 Tesla MR Images by Combining Multiple Atlases and Auto-Context Models. | Minjeong Kim, Guorong Wu, Wei Li, Li Wang, Young-Don Son, Zang-Hee Cho, Dinggang Shen |
| 2010 | MICCAI | A Generalized Learning Based Framework for Fast Brain Image Registration. | Minjeong Kim, Guorong Wu, Pew-Thian Yap, Dinggang Shen |
| 2007 | ICCS | A Dynamic Data Driven Wildland Fire Model. | Jan Mandel, Jonathan D. Beezley, Lynn S. Bennethum, Soham Chakraborty, Janice L. Coen, Craig C. Douglas, Jay Hatcher, Minjeong Kim, Anthony Vodacek |
| 2005 | ICCS | Towards a Dynamic Data Driven Application System for Wildfire Simulation. | Jan Mandel, Lynn S. Bennethum, Mingshi Chen, Janice L. Coen, Craig C. Douglas, Leopoldo P. Franca, Craig J. Johns, Minjeong Kim, Andrew V. Knyazev, Robert L. Kremens, Vaibhav Kulkarni, Guan Qin, Anthony Vodacek, Jianjia Wu, Wei Zhao, Adam Zornes |
| 1999 | APSEC | Agent-Oriented Software Modeling. | Minjeong Kim, Seungyun Lee, Injae Park, Jintae Kim, Sooyong Park |