Mansu Kim

According to our database, Mansu Kim authored at least 16 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

CXR-LLaVA: Multimodal Large Language Model for Interpreting Chest X-ray Images.

Seowoo Lee, Jiwon Youn, Mansu Kim, Soon Ho Yoon

CoRR, 2023

2022

Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics.

Mansu Kim, Eun Jeong Min, Kefei Liu, Jingwen Yan, Andrew J. Saykin, Jason H. Moore, Qi Long, Li Shen

Medical Image Anal., 2022

Deep multiview learning to identify imaging-driven subtypes in mild cognitive impairment.

Yixue Feng, Mansu Kim, Xiaohui Yao, Kefei Liu, Qi Long, Li Shen

BMC Bioinform., 2022

Genomics transformer for diagnosing Parkinson's disease.

Diego Machado Reyes, Mansu Kim, Hanqing Chao, Juergen Hahn, Li Shen, Pingkun Yan

Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

Connectome transformer with anatomically inspired attention for Parkinson's diagnosis.

Diego Machado Reyes, Mansu Kim, Hanqing Chao, Li Shen, Pingkun Yan

Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

2021

A structural enriched functional network: An application to predict brain cognitive performance.

Mansu Kim, Jingxuan Bao, Kefei Liu, Bo-yong Park, Hyunjin Park, Jae Young Baik, Li Shen

Medical Image Anal., 2021

A Novel Bayesian Semi-parametric Model for Learning Heritable Imaging Traits.

Yize Zhao, Xiwen Zhao, Mansu Kim, Jingxuan Bao, Li Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Interpretable temporal graph neural network for prognostic prediction of Alzheimer's disease using longitudinal neuroimaging data.

Mansu Kim, Jaesik Kim, Jeffrey Qu, Heng Huang, Qi Long, Kyung-Ah Sohn, Dokyoon Kim, Li Shen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Joint-Connectivity-Based Sparse Canonical Correlation Analysis of Imaging Genetics for Detecting Biomarkers of Parkinson's Disease.

Mansu Kim, Ji Hye Won, Jinyoung Youn, Hyunjin Park

IEEE Trans. Medical Imaging, 2020

GraphNet-based imaging biomarker model to explain levodopa-induced dyskinesia in Parkinson's disease.

Mansu Kim, Ji Sun Kim, Jinyoung Youn, Hyunjin Park, Jin Whan Cho

Comput. Methods Programs Biomed., 2020

Structural Connectivity Enriched Functional Brain Network Using Simplex Regression with GraphNet.

Mansu Kim, Jingxaun Bao, Kefei Liu, Bo-yong Park, Hyunjin Park, Li Shen

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Deep Network-Based Feature Selection for Imaging Genetics: Application to Identifying Biomarkers for Parkinson's Disease.

Mansu Kim, Ji Hye Won, Jisu Hong, Junmo Kwon, Hyunjin Park, Li Shen

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Deep Multiview Learning to Identify Population Structure with Multimodal Imaging.

Yixue Feng, Mansu Kim, Xiaohui Yao, Kefei Liu, Qi Long, Li Shen

Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

Estimating Hard-tissue Conditions from Dental Images via Machine Learning.

Jingxuan Bao, Mansu Kim, Qing Sun, Anderson T. Hara, Gerardo Maupome, Li Shen

Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019

Subtype Identification of Parkinson's Disease Using Sparse Canonical Correlation and Clustering Analysis of Multimodal Neuroimaging.

Ji Hye Won, Mansu Kim, Jinyoung Yoon, Hyunjin Park

Proceedings of the Metadata and Semantic Research - 13th International Conference, 2019

2017

Imaging genetics approach to predict progression of Parkinson's diseases.

Mansu Kim, Seong-jin Son, Hyunjin Park

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017