Journal &
ai-conference PAPERS

ACCEPT & PUBLICATION

(* Correspondence)

1. Kim, Y., Lee, JW., Lee, B.C., *Seo, H. (2025). An Unsupervised Metal Artifact Reduction Model via Physics-Based Metal-Aware Networks in CT Images. Medical Physics, 52(11).

2. {Seo, H., Kim, S., Choi, K.,}, Kim, S., Han, K., Kim, Y., Seo, N., Jeong, J., Lim, J. (2025). Artificial Intelligence Model for Detection of Colorectal Cancer on Routine Abdominopelvic CT Examinations: A Training and External-Testing Study. American Journal of Roentgenology, 224(4), 1-10.

3. Kang, B., Lee, W., Seo, H., Heo, H., Park, HW. (2024). Self-supervised learning for denoising of multidimensional MRI data. Magnetic Resonance in Medicine, 92(5), 1980-1994.

4. Kim, J., Lee, W., Kang, B., *Seo, H., *Park, HW. (2024). A Noise Robust Image Reconstruction using Slice Aware Cycle Interpolator Network for Parallel Imaging in MRI. Medical Physics, 51(6), 4143-4157.

5. Leem, S., *Seo, H. (2024). Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention. Proceedings of the AAAI Conference on Artificial Intelligence, 38(4), 2956-2964.

6. Lee, S., Jung, S., *Seo, H. (2024). Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile. Proceedings of the AAAI Conference on Artificial Intelligence, 38(4), 2929-2937.

7. *Seo, H., Lee, S., Yun, S., Leem, S., So S., Han D.H. (2024). RenseNet: A Deep Learning Network Incorporating Residual and Dense Blocks with Edge Conservative Module to Improve Small Lesion Classification. Cancers, 16(3), 570.

8. Lee, J., Seo, H., Lee, W., Park, HW. (2024). Unsupervised Motion Artifact Correction of Turbo Spin-Echo MRI using Deep Image Prior. Magnetic Resonance in Medicine, 92(1), 28-42.

9. Lee, J., Seo, H., Choi, Y., Lee, C., Kim, S., Lee, S., Kim, E. (2023). An Endodontic forecasting model based on the analysis of preoperative dental radiographs: A pilot study on an endodontic predictive deep neural network. Journal of Endodntics, 49(6), 710-719.

10. *Seo, H., So, S., Yun, S., Lee, S., Barg, J. (2022). Spatial Feature Conservation Networks (SFCNs) for Dilated Convolutions to Improve Breast Cancer Segmentation from DCE-MRI. MICCAI Workshops joint LNCS proceedings.

11. Kim, C., Bekar, O., Seo, H., Park, SM., Lee, D. (2022). Computed Tomography Vertebral Segmentation from Multi-Vendor Scanner Data. Journal of Computational Design and Engineering, 9(4), 1650-1664.

12. Park, S., Kim, H., Shim, E., Hwang, BY., Kim, Y, Lee, JW., *Seo, H. (2022). Deep Learning-Based Automatic Segmentation of Mandible and Maxilla in Multi-Center CT Images. applied sciences, 12(3), 1358. 

13. Seo, H., Yu L., Ren H., Li, X., Shen, L., Xing L. (2021). Deep Neural Network with Consistency Regularization of Multi-Output Channels to Improve Tumor Detection and Delineation. IEEE Transactions on Medical Imaging, 40(12), 3369-3378.

14. Seo, H., Bassenne M., Xing L. (2021). Closing the Gap between Deep Neural Network Modeling and Decision‐Making Metric via Generalized Loss Function. IEEE Transactions on Medical Imaging, 40(2), 585-593.

15. Seo, H., Huang C., Bassenne M., Xiao R., Xing L. (2020). Modified U‐Net (mU‐Net) with Incorporation of Object‐Dependent High Level Features for Improved Liver and Liver‐Tumor Segmentation in CT Images. IEEE Transactions on Medical Imaging, 39(5), 1316-1325.

16. Seo, H., Khuzani MB., Vasdevan V., Huang C., Xiao R., Xing L. (2020). Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State‐of‐Art Applications. Medical Physics, 47(5), e148-e167.

17. So, S., Seo, H., Park, HW. (2020). A locally segmented reconstruction method for parallel imaging. Magnetic Resonance in Medicine, 84(3), 1638-1647.

18. Jia X., Mai X., Cui Y., Yuan Y., Xing X., Seo H., Xing L., Meng M.Q.-H. Automatic Polyp Recognition in Colonoscopy Images Using Deep Learning and Two-Stage Pyramidal Feature Prediction. (2020). IEEE Transactions on Automation Science and Engineering, 17(3), 1570-1584.

19. {Seo, H., Kim, J.,}, So S., and Park HW. (2018). A Multi‐Contrast Imaging Method Using Steady‐State Free Precession with Alternating RF Flip Angles. Magnetic Resonance in Medicine, 80(4), 1341‐1351.

20. Kim, B., Seo, H., Kim, D., and Park HW. (2018). Retrospective motion gating in cardiac MRI using a simultaneously acquired navigator. NMR in Biomedicine, 31(3), e3874.

21. Kim, D., Seo, H., Cho, J., Kwon K., and Park HW. (2018). Non‐Contrast‐Enhanced Peripheral MR Angiography using Velocity‐Selective Excitation. Magnetic Resonance in Medicine, 79(2), 779-788.

22. Seo, H., Kim,D., Oh, C., and Park, HW. (2017). Self‐Gated Cardiac Cine Imaging Using Phase Information. Magnetic Resonance in Medicine,77(3), 1216‐1222.

23. Kim, D., Seo, H., Oh, C., Han, Y., and Park, HW. (2016). Multi‐slice imAGe generation using intra‐slice parallel imaging and inter‐slice shifting (MAGGULLI). Physics in Medicine and Biology, 64(4), 1692‐1704.

24. Choi, J., Seo, H., Lim, Y., Han, Y., and Park HW. (2015). Sliding TOF: Sliding time of flight MR angiography using a dynamic image reconstruction method. Magnetic Resonance in Medicine, 73(3), 1177‐1183.

25. Seo, H., Choi, J., Oh, C., Han, Y., and Park, HW. (2014). Isotropic diffusion weighting for measurement of high‐resolution apparent diffusion coefficient map using a single radial scan in MRI. Physics in Medicine and Biology, 59(20), 6289‐6303.

26. Seo, H., and Park, HW. (2013). A Novel Detection Method of Periodically Moving Region in Radial MRI. IEIE Transactions on Smart Processing and Computing, 2(4), 203‐207.