Research output per year
Research output per year
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Dive into the research topics where Junghoon Lee is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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A deep learning-based clinical target volume segmentation in female pelvic MRI for radiation therapy planning
Zabihollahy, F., Viswanathan, A. N., Schmidt, E. J. & Lee, J., 2022, Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling. Linte, C. A. & Siewerdsen, J. H. (eds.). SPIE, 120341D. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12034).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Cranial Meninges Reconstruction Based on Convolutional Networks and Deformable Models: Applications to Longitudinal Study of Normal Aging
Duan, P., Han, S., Zuo, L., An, Y., Liu, Y., Alshareef, A., Lee, J., Carass, A., Resnick, S. M. & Prince, J. L., 2022, Medical Imaging 2022: Image Processing. Colliot, O., Isgum, I., Landman, B. A. & Loew, M. H. (eds.). SPIE, 1203215. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12032).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Demonstrating the benefits of corrective intraoperative feedback in improving the quality of duodenal hydrogel spacer placement
Hooshangnejad, H., Han-Oh, S., Shin, E. J., Narang, A., Rao, A. D., Lee, J., McNutt, T., Hu, C., Wong, J. & Ding, K., Jul 2022, In: Medical physics. 49, 7, p. 4794-4803 10 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Finite Element-Based Personalized Simulation of Duodenal Hydrogel Spacer: Spacer Location Dependent Duodenal Sparing and a Decision Support System for Spacer-Enabled Pancreatic Cancer Radiation Therapy
Hooshangnejad, H., Youssefian, S., Narang, A., Shin, E. J., Rao, A. D., Han-Oh, S., McNutt, T., Lee, J., Hu, C., Wong, J. & Ding, K., Mar 24 2022, In: Frontiers in Oncology. 12, 833231.Research output: Contribution to journal › Article › peer-review
Open Access -
Fully automated segmentation of clinical target volume in cervical cancer from magnetic resonance imaging with convolutional neural network
Zabihollahy, F., Viswanathan, A. N., Schmidt, E. J. & Lee, J., 2022, (Accepted/In press) In: Journal of applied clinical medical physics.Research output: Contribution to journal › Article › peer-review
Open Access