* Underline indicates presenting author
34. Lee, H., Hua, C., Krasin, M., Merchant, T. E., Ates, O., and Uh, J., “Interfractional Monitoring of Body Surface Changes Via Daily CBCT Imaging for Adaptive Proton Therapy,” AAPM Annual Meeting 2024
33. Jegal, J., Jeon, C., Han, Y., Kim, N., Lee, H., Ahn, S. H., and Shin, J., “Factoring Time-Structure of Pencil Beam Scanning into Computing Dose to Circulating Blood Cells,” AAPM Annual Meeting 2024
32. Bushe, D. H., Lee, H., Lalonde, A., Paganetti, H., and Winey, B., “Dual-Domain Conditional Diffusion Model for Cone-Beam CT Scatter Correction in Head and Neck Cancer Adaptive Proton Therapy,” AAPM Annual Meeting 2024
31. Bobić, M., Choulilitsa, E., Lee, H., Czerska K., Christensen, J. B., Winey, B., Lomax, A. J., Paganetti, H., Nesteruk, K. P., and Albertini, F., "Multi-Institutional Experimental Validation of Online Adaptive Proton Therapy Workflows,” AAPM Annual Meeting 2024
30. Lee, H., Shah, K., Schuemann, J., Paganetti, H., Shih, H., Chamseddine, I., “Prediction of radiation-induced brain necrosis after proton therapy using brain vasculature and 3D dose distribution,” AAPM Annual Meeting 2023
29. Lee, H., Cheon, B.-W., Feld, J., Grogg, K., Perl, J., Ramos-Mendez, J., Faddegon, B., Min, C. H., Paganetti, H., Schuemann, J., “Extending the TOPAS simulation toolkit for medical imaging systems,” AAPM Annual Meeting 2023
28. Tamborino, G., Lee, H., Bertolet, A., Schuemann, J., Lee, C., Paganetti, H., “The TOPAS Extension for Secondary Cancer Risk Evaluation After Radiotherapy,” AAPM Annual Meeting 2022
27. Lee, H., Lalonde, A., Winey, B., Sharp, G., Paganetti, H., “A Hybrid Scatter Correction Algorithm for CBCT to Incorporate System-Specific Information with a Deep Learning-Based Scatter Correction Algorithm,” AAPM Annual Meeting 2022
26. Bobić, M., Nesteruk, K., Lee, H., Lalonde, A., Winey, B., Lomax, A., Paganetti, H., “Online Plan Adaptation in Intensity-Modulated Proton Therapy Based On Planned Versus Cumulative Dose Indices,” AAPM Annual Meeting 2022
25. Lee, H., Shin, J., Verburg, J., Bobić, M., Winey, B., Schuemann, J., Paganetti, H., “moqui: MOnte carlo code for QUIck proton dose calculation,” MCMA 2022
24. Lee, H., Feld, J., Grogg, K., Perl, J., Faddegon, B., Paganetti, H., Schuemann, J., “TOPAS-Imaging: An extension to the TOPAS simulation toolkit for medical imaging systems,” MCMA 2022
23. Kim, H., Lee, H., Lee, S., Choi, Y.-w., Choi, Y. J., Kim, K. H., Seo, W., Shin, C., Cho, S., “A feasibility study of dual-energy digital breast tomosynthesis for three-compartment-breast imaging,” SPIE Medical Imaging 2022
22. Lee, H., Shin, J., Verburg, J. and Paganetti, H., “Development of a fast and memory-efficient Monte Carlo code for proton dose calculation,” AAPM 2021
21. Lee, H., Kim, H., Lee, S., Choi, Y., Kim, K. H., Choi, Y.-w., and Cho, S., “Neutral dose dual-energy digital breast tomosynthesis using deep-neural-networks,” IEEE ISBI 2020
20. Lee, S., Kim, H., Lee, H., Jeong, U., and Cho, S., “Convolutional-neural-network based breast thickness correction in digital breast tomosynthesis,” SPIE Medical Imaging 2020
19. Lee, H., Kim, H., and Cho, S., “Reconstructing interior transmission tomographic images with an offset-detector using a deep-neural-network,” Fully 3D 2019
18. Cho, M.-s., Lee, M., Lee, H., Kim, S., and Cho, B., “Dosimetric Evaluation of Couch Based Tracking Method Using Robotic Arm-Based Couch,” AAPM 2018
17. Kim, H., Lee, H., Kwak J., Jeong, C., and Cho, B., “Incorporating L0-Norm Regularization Into Cycle-Consistent Generative Adversarial Network (cGAN) for MR-To-CT Translation,” AAPM 2018
16. Lee, H., Kim, H., Kwak, J., Kim, Y. S., Cho, S., and Cho, B., “Deep Convolutional-Neural-Network Enabling a Direct Prediction of Fluence-Map For prostate IMRT,” AAPM 2018
15. Lee, H., Kim, H., Cho, S., “Reconstructing interior tomography images with offset detector using deep-neural-network,” Summer School of Bio-signal Processing 2018
14. Lee, J., Lee, H., and Cho, S. “Sinogram synthesis using convolutional-neural-network for sparsely view-sampled CT,” SPIE Medical Imaging 2018
13. Lee, H., Cheong, K., Jung, J., Yeo, I., and Cho, S., “Improving on-beam CT reconstruction from transit imaging of treatment beams via MV-To-KV HU calibration for dose verification,” AAPM 2017
12. Kim, H., Lee, H., and Cho, S., “Comparison study of 2D/3D-Synthetic Dictionary Based Reconstruction for Low-dose X-ray CT,” Fully 3D 2017
11. Lee, H., Lee, J., and Cho, S., “View-interpolation of sparsely sampled sinogram using convolutional neural network,” SPIE Medical Imaging 2017
10. Kwon, T., Lee, H., Lee, T., Kim, C., Kim, Y., and Cho, S., “Panoramic Dental Tomosynthesis Auto-focusing using Convolutional Neural Network (CNN) Method,” IFMIA 2017
9. Wi, S., Lee, H., and Cho, S., “Feasibility study on many-view under-sampling (MVUS) using spiral beam filter,” CT Meeting 2016
8. Son, K., Lee, H., Kim, C., Kim, J., and Cho, S., “Dose Reduction Strategy Using Attenuation‐Based Tube Current Modulation Method in CBCT for IGRT,” AAPM 2016
7. Lee, H., Cheong, K. H., Jung, J. W., Cho, S., Jung, S.-H., Kim, J., and Yeo, I., “On-Treatment image reconstruction using transit images of treatment beams through patient and those through planning CT images,” AAPM 2016
6. Kim, C., Park, M., Lee, H., and S., Cho, S., “Scatter correction in CBCT with an offset detector through a deconvolution method using data consistency,” SPIE Medical Imaging 2016
5. Son, K., Cho, S., Lee, H., Han, Y., Ju, S. G., Kim, J., “Calculating Radiation Imaging Dose Using Monte Carlo Simulation for Image-guided Radiation Therapy,” 8th International Symposium on Radiation Safety and Detection Technology 2015
4. Son, K., Cho, S., Lee, H., Han, Y., Ju, S. G., Kim, J., “A strategy of reducing radiation imaging dose using the exposure-controlled CBCT method for IGRT,” Joint Conference of The Korean Society of Radiation Oncology and Korean Society of Medica Physics 2015
3. Lee, H., Pua, R., Min, J., Cho, S., “IncreasedCT number accuracy in beam-blocker based scatter correction method,” Korean Society of Medica Physics Spring Meeting 2015
2. Lee, H., Pua, R., Min, J., and Cho, S., “Physics on beam-blocker-based scatter estimation and correction,” Joint Conference of IWAIT and FIMIA 2015
1. Lee, H., Shin, S., Cho, S., “Applying image registration techniques to construct 3D object from topologic images,” International Meeting on AFM in Life Sciences and Medicine 2014