Prof. Hyunjin Park

School of Electronic and Electrical Engineering

Sungkyunkwan University, Korea

Email: [email protected], [email protected]

Qualifications

2003 Ph.D., University of Michigan, USA, Biomedical Engineering

2000 M.Sc., University of Michigan, USA, Electrical Engineering

2000 M.Sc., University of Michigan, USA, Biomedical Engineering

1997 B.Sc., Seoul National University, Korea, Electrical Engineering

Publications (Selected)

1. Lee, J. E., Kim, S., Park, S., Choi, H., Park, B. Y., & Park, H. (2025). Atypical maturation of the functional connectome hierarchy in autism. Molecular autism, 16(1), 21.
2. Lee, J. E., Byeon, K., Kim, S., Park, B. Y., & Park, H. (2025). Revealing the Multivariate Associations Between Autistic Traits and Principal Functional Connectome. Neuroinformatics, 23(2), 1-13.
3. Kim, S., Yoo, S., Xie, K., Royer, J., Larivière, S., Byeon, K., ... & Park, B. Y. (2024). Comparison of different group-level templates in gradient-based multimodal connectivity analysis. Network neuroscience, 8(4), 1009-1031.
4. Pachade, S., Porwal, P., Kokare, M., Deshmukh, G., Sahasrabuddhe, V., Luo, Z., ... & Mériaudeau, F. (2025). RFMiD: Retinal Image Analysis for multi-Disease Detection Challenge. Medical Image Analysis, 99, 103365.
5. Na, I., Kim, J., Ko, E. S., & Park, H. (2024, October). RadiomicsFill-Mammo: Synthetic Mammogram Mass Manipulation with Radiomics Features. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 723-733). Cham: Springer Nature Switzerland.
6. Kim, S., Kim, M., Lee, J. E., Park, B. Y., & Park, H. (2024). Prognostic model for predicting Alzheimer’s disease conversion using functional connectome manifolds. Alzheimer's Research & Therapy, 16(1), 217.
7. Oh, S., Kim, S., Lee, J. E., Park, B. Y., Won, J. H., & Park, H. (2024). Multimodal analysis of disease onset in Alzheimer’s disease using Connectome, Molecular, and genetics data. NeuroImage: Clinical, 43, 103660.
8. Cho, H. H., Choe, J., Kim, J., Oh, Y. J., Park, H., Lee, K., & Lee, H. Y. (2024). 3D airway geometry analysis of factors in airway navigation failure for lung nodules. Cancer Imaging, 24(1), 84.
9. Yoo, S., Jang, Y., Hong, S. J., Park, H., Valk, S. L., Bernhardt, B. C., & Park, B. Y. (2024). Whole-brain structural connectome asymmetry in autism. NeuroImage, 288, 120534.
10. Kim, J., Kim, J., Park, Y. H., Yoo, H., Kim, J. P., Jang, H., ... & Seo, S. W. (2024). Distinct spatiotemporal patterns of cortical thinning in Alzheimer’s disease-type cognitive impairment and subcortical vascular cognitive impairment. Communications biology, 7(1), 198.
11. Na, I., Noh, J. J., Kim, C. K., Lee, J. W., & Park, H. (2024). Combined radiomics-clinical model to predict platinum-sensitivity in advanced high-grade serous ovarian carcinoma using multimodal MRI. Frontiers in Oncology, 14, 1341228.
12. Kim, J., & Park, H. (2024). Adaptive latent diffusion model for 3d medical image to image translation: Multi-modal magnetic resonance imaging study. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 7604-7613).
13. Yang, K., Musio, F., Ma, Y., Juchler, N., Paetzold, J. C., Al-Maskari, R., ... & Menze, B. (2024). Benchmarking the cow with the topcow challenge: Topology-aware anatomical segmentation of the circle of willis for cta and mra. ArXiv, arXiv-2312.
14. Na, I., Kim, J., & Park, H. (2023). Synthetic tumor manipulation: With radiomics features. arXiv preprint arXiv:2311.02586.
15. Lee, H. W., Kim, E., Na, I., Kim, C. K., Seo, S. I., & Park, H. (2023). Novel multiparametric magnetic resonance imaging-based deep learning and clinical parameter integration for the prediction of long-term biochemical recurrence-free survival in prostate cancer after radical prostatectomy. Cancers, 15(13), 3416.
16. Hong, S. W., Song, H. N., Choi, J. U., Cho, H. H., Baek, I. Y., Lee, J. E., ... & Seo, W. K. (2023). Automated in-depth cerebral arterial labelling using cerebrovascular vasculature reframing and deep neural networks. Scientific Reports, 13(1), 3255.
17. Lee, C. H., Park, H., Lee, M. J., & Park, B. Y. (2023). Whole‐brain functional gradients reveal cortical and subcortical alterations in patients with episodic migraine. Human Brain Mapping, 44(6), 2224-2233.

Profile Details

WoS ResearcherID:A-1164-2007

https://orcid.org/0000-0001-5681-8918

https://professor.skku.edu/researcher_eng/professorList.do?mode=searchList&srSearchVal=PARK%2C+HYUN+JIN

https://www.researchgate.net/profile/Hyunjin-Park-10

https://scholar.google.com/citations?user=Pt2N0C8AAAAJ&hl=zh-CN