Sungeun Kim
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
9
Active years
2003–2024
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ACCV | Generative Self-supervised Learning for Medical Image Classification. | Inhyuk Park, Sungeun Kim, Jongbin Ryu |
| 2024 | BMVC | Unsupervised Hashing Network with Hyper Quantization Tree. | Sungeun Kim, Jongbin Ryu |
| 2021 | ICIP | Contextual Label Transformation For Scene Graph Generation. | Wonhee Lee, Sungeun Kim, Gunhee Kim |
| 2017 | RECOMB | Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model. | Xiaoqian Wang, Jingwen Yan, Xiaohui Yao, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang |
| 2014 | MICCAI | A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics. | Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Heng Huang, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen |
| 2013 | MICCAI | Genetic Clustering on the Hippocampal Surface for Genome-Wide Association Studies. | Derrek P. Hibar, Sarah E. Medland, Jason L. Stein, Sungeun Kim, Li Shen, Andrew J. Saykin, Greig I. de Zubicaray, Katie McMahon, Grant W. Montgomery, Nicholas G. Martin, Margaret J. Wright, Srdjan Djurovic, Ingrid Agartz, Ole A. Andreassen, Paul M. Thompson |
| 2013 | MICCAI | A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI). | Dokyoon Kim, Sungeun Kim, Shannon L. Risacher, Li Shen, Marylyn D. Ritchie, Michael W. Weiner, Andrew J. Saykin, Kwangsik Nho |
| 2013 | MICCAI | PARP1 Gene Variation and Microglial Activity on [11C]PBR28 PET in Older Adults at Risk for Alzheimer's Disease. | Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Mark Inlow, Shanker Swaminathan, Karmen K. Yoder, Li Shen, John D. West, Brenna C. McDonald, Eileen F. Tallman, Gary D. Hutchins, James W. Fletcher, Martin R. Farlow, Bernardino Ghetti, Andrew J. Saykin |
| 2013 | MICCAI | Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures. | Jingwen Yan, Heng Huang, Shannon L. Risacher, Sungeun Kim, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen |
| 2012 | CVPR | Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease. | Jing Wan, Zhilin Zhang, Jingwen Yan, Taiyong Li, Bhaskar D. Rao, Shiaofen Fang, Sungeun Kim, Shannon L. Risacher, Andrew J. Saykin, Li Shen |
| 2012 | MICCAI | Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning. | Jingwen Yan, Shannon L. Risacher, Sungeun Kim, Jacqueline C. Simon, Taiyong Li, Jing Wan, Hua Wang, Heng Huang, Andrew J. Saykin, Li Shen |
| 2011 | MICCAI | Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net. | Li Shen, Sungeun Kim, Yuan (Alan) Qi, Mark Inlow, Shanker Swaminathan, Kwangsik Nho, Jing Wan, Shannon L. Risacher, Leslie M. Shaw, John Q. Trojanowski, Michael W. Weiner, Andrew J. Saykin |
| 2011 | MICCAI | Hippocampal Surface Mapping of Genetic Risk Factors in AD via Sparse Learning Models. | Jing Wan, Sungeun Kim, Mark Inlow, Kwangsik Nho, Shanker Swaminathan, Shannon L. Risacher, Shiaofen Fang, Michael W. Weiner, Mirza Faisal Beg, Lei Wang, Andrew J. Saykin, Li Shen |
| 2010 | MICCAI | Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction. | Li Shen, Yuan (Alan) Qi, Sungeun Kim, Kwangsik Nho, Jing Wan, Shannon L. Risacher, Andrew J. Saykin |
| 2009 | CIBCB | Data synthesis and tool development for exploring imaging genomic patterns. | Sungeun Kim, Li Shen, Andrew J. Saykin, John D. West |
| 2004 | WCNC | Interworking between WLANs and 3G networks: TCP challenges. | Sungeun Kim, John A. Copeland, Canfeng Chen, Lei Wang, Liang Liu, Weiling Wu |
| 2003 | GLOBECOM | TCP for seamless vertical handoff in hybrid mobile data networks. | Sungeun Kim, John A. Copeland |