Publications

2026

• Lee, D., et al. (2026). Theoretical prediction of bias in model-based material decomposition. In Medical Imaging 2026: Physics of Medical Imaging (Vol. 13924). SPIE. [Oral Presentation]

• Lee, D., et al. (2026). Quantitative enhancement of spectral imaging in photon-counting CT via dynamic energy thresholding. In Medical Imaging 2026: Physics of Medical Imaging (Vol. 13924). SPIE. [Oral Presentation]

• Subramanian, S., Lee, D., et al. (2026). Intra-operative brain perfusion assessment for ischemic stroke using 2D digital subtraction angiography: First pilot clinical study. In Medical Imaging 2026: Physics of Medical Imaging (Vol. 13924). SPIE. [Oral Presentation]

2025

• Lee, D., Zhan, X., Tai, W. Y., Zbijewski, W., & Taguchi, K. (2025). Calibration method for reducing ring artifacts in energy bin images for photon-counting CT. IEEE Transactions on Medical Imaging, 45(2), 569-582.

• Lee, D., Subramanian, S., Xu, J., Yedavalli, V., Hoseinyazdi, M., Lakhani, D., & Taguchi, K. (2025). Fast intraoperative 2D/3D head registration for image-guided interventions using biplane X-ray angiography. Medical Physics 52(12). [Editor's Choice]

• Lee, D., et al. (2025). Theoretical bias prediction in model-based material decomposition. In 2025 IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room-Temperature Semiconductor Detectors (NSS MIC RTSD). IEEE.

• Lee, D., Zhan, X., Tai, W. Y., Zbijewski, W., & Taguchi, K. (2025). Pixel-to-pixel variation correction using cylindrical phantoms in photon-counting CT: Total count results. In Medical Imaging 2025: Physics of Medical Imaging (Vol. 13405). SPIE.

• Lee, D., et al. (2025). Direct head orientation parameter estimation for IPEN. In Medical Imaging 2025: Physics of Medical Imaging (Vol. 13405). SPIE.

• Wei, J., Lee, D., et al. (2025). Log conversion with fewer counts for photon counting CT: Decreasing both bias and variance simultaneously. In Medical Imaging 2025: Physics of Medical Imaging (Vol. 13405). SPIE. [Oral Presentation]

2024

• Lee, D., Zhan, X., Tai, W. Y., Zbijewski, W., & Taguchi, K. (2024). Improving model–data mismatch for photon-counting detector model using global and local model parameters. Medical Physics 51(2), 964–977. [Highlighted Paper]

• Tai, W. Y., Lee, D., Zhan, X., Taguchi, K., & Zbijewski, W. (2024). Impact of bowtie scatter on iodine quantification in photon-counting CT. Radiological Society of North America 2024 Scientific Assembly and Annual Meeting, Chicago, IL. [Oral Presentation]

• Subramanian, S., Segars, W. P., Lee, T. Y., Faria, A. V., Lee, D., et al. (2024). A CT system-free approach for brain perfusion assessment: Temporal perfusion index estimation. In Medical Imaging 2024: Physics of Medical Imaging (Vol. 12925). SPIE.

• Jo, H. H., Lee, D., & Cho, S. (2024). Image up-sampling method for dual-radiation nondestructive cargo inspection system. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1065, 169541.

2023

• Subramanian, S., Lee, D., Faria, A. V., Unberath, M., Segars, W. P., & Taguchi, K. (2023). Brain perfusion CT without a CT system. Radiological Society of North America 2023 Scientific Assembly and Annual Meeting, Chicago, IL. [Oral Presentation]

• Tai, W. Y., Lee, D., Zhan, X., Taguchi, K., & Zbijewski, W. (2023). Fast Monte Carlo scatter correction in photon-counting CT. Radiological Society of North America 2023 Scientific Assembly and Annual Meeting, Chicago, IL.

• Lee, D., et al. (2023). Photon-counting detector model using local parameters for pixel-to-pixel deviations. In Medical Imaging 2023: Physics of Medical Imaging (Vol. 12463). SPIE. [Oral Presentation]

• Tai, W. Y., Lee, D., et al. (2023). Effects of bowtie scatter on material decomposition in photon-counting CT. In Medical Imaging 2023: Physics of Medical Imaging (Vol. 12463). SPIE. [Oral Presentation]

• Subramanian, S., Lee, D., et al. (2023). Brain tissue perfusion assessment without using a CT system. In 2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room-Temperature Semiconductor Detectors (NSS MIC RTSD). IEEE.

• Lee, D., et al. (2023). Advanced photon-counting detector simulator with a count-rate-dependent mapping operator and a pixel-to-pixel variation generator. In 2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room-Temperature Semiconductor Detectors (NSS MIC RTSD). IEEE.

• Yun, S., Jeong, U., Lee, D., et al. (2023). Image quality improvement in bowtie-filter-equipped cone-beam CT using a dual-domain neural network. Medical Physics 50(12), 7498–7512.

2022

• Tai, W. Y., Lee, D., Zhan, X., Taguchi, K., & Zbijewski, W. (2022). Impact of scatter on material decomposition accuracy in photon-counting CT. Radiological Society of North America 2022 Scientific Assembly and Annual Meeting, Chicago, IL. [Oral Presentation]

• Yun, S., Jeong, U., Lee, D., et al. (2022). Dual-domain network with transfer learning for reducing bowtie-filter induced artifacts in half-fan cone-beam CT. In 7th International Conference on Image Formation in X-Ray Computed Tomography (Vol. 12304). SPIE.

2021

• Lee, D., Yun, S., Soh, J., Lim, S., Kim, H., & Cho, S. (2021). A generalized simultaneous algebraic reconstruction technique (G-SART) for dual-energy X-ray computed tomography. Journal of X-Ray Science and Technology, 29(1), 21–36.

• Lee, D., & Cho, S. (2021). Learned energy-flexible algorithm using joint sparsity for dual-energy CT: A preliminary study. 16th Virtual International Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine.

2020

• Lee, D., Jo, H., Shim, S., Kim, J., Oh, K., Lee, B., Lee, N., & Cho, S. (2020). Effective noise reduction algorithm for material decomposition in dual-energy X-ray inspection. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 968, 163930.

• Cho, S., Lee, S., Lee, J., Lee, D., et al. (2020). A novel low-dose dual-energy imaging method for a fast-rotating gantry-type CT scanner. IEEE Transactions on Medical Imaging, 40(3), 1007–1020.

• Lee, D., & Cho, S. (2020). Learned energy-flexible algorithm using joint sparsity for dual-energy CT. Korean Society of Medical Physics. [Oral Presentation; Best Oral Presentation Award]

• Lee, D., & Cho, S. (2020). Spectrum-based algebraic simultaneous reconstruction technique (SSART) for material decomposition in dual-energy CT imaging. Korean Society of Medical Physics.

• Lee, D., Jo, H., & Cho, S. (2020). Single-scan dual-energy CT image reconstruction via normalized gradient magnitude image (NGMI) regularization. 6th International Conference on Image Formation in X-Ray Computed Tomography. CT-meeting.

2019

• Kim, H., Lee, D., et al. (2019). Improvement of the bonding properties of mineral trioxide aggregate by elastin-like polypeptide supplementation. Scanning, 2019, 8953982.

2018

• Lee, D., Lee, J., Min, J., Lee, B., Lee, B., Oh, K., Kim, J., & Cho, S. (2018). Efficient material decomposition method for dual-energy X-ray cargo inspection system. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 884, 105–112.

• Oh, K., Kim, J., Kim, S., M. Chae, Lee, D., et al. (2018). Evaluation and optimization of an image acquisition system for dual-energy cargo inspections. IEEE Transactions on Nuclear Science, 65(9), 2657–2661.

• Lee, D., Jo, H., & Cho, S. (2018). K-means algorithm incorporating a competitive mechanism for noise reduction in material decomposition of dual-energy X-ray inspection. Korean Society of Radiation Industry. [Oral Presentation; Best Paper Award]

• Lee, D., Soh, J., Lim, S., & Cho, S. (2018). A beam-hardening correction method based on a discrete spectral attenuation model in X-ray microcomputed tomography. In IEEE Nuclear Science Symposium and Medical Imaging Conference. IEEE NSS/MIC. IEEE.

2017

• Lee, D., Lee, J., Kim, H., Lee, T., Soh, J., Park, M., Kim, C., Lee, Y. J., & Cho, S. (2017). A feasibility study of low-dose single-scan dual-energy cone-beam CT in many-view under-sampling framework. IEEE Transactions on Medical Imaging, 36(12), 2578–2587.