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Donghoon Lee

  1. "Sloan Kettering Institute Postdocs"
Formats
  1. Journal Article (7)
  2. Meeting Abstract (3)
  3. Conference Paper (1)
Groups
  1. Medical Physics (11)
  2. Sloan Kettering Institute Postdocs (11)
  3. Radiotherapy Physics Service (6)
People
  1. Yu-Chi Hu (9)
  2. Mohamad Sadegh Riyahi Alam (7)
  3. Pengpeng Zhang (7)
  4. Jue Jiang (5)
  5. Saad Nadeem (5)
  6. Ellen Yorke (3)

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Years
  1. 2023 (3)
  2. 2022 (4)
  3. 2021 (2)
  4. 2020 (2)
Publications
  1. Medical Physics (5)
  2. Physics in Medicine and Biology (2)
  3. Journal of Applied Clinical Medical Physics (1)
  4. Lecture Notes in Computer Science (1)
  5. Radiation Physics and Chemistry (1)
  6. Radiotherapy and Oncology (1)
Publishers
  1. American Association of Physicists in Medicine (5)
  2. Elsevier Inc. (2)
  3. IOP Publishing Ltd (2)
  4. American College of Medical Physics (1)
  5. Springer (1)

Results (11)

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  • Seq2Morph: A deep learning deformable image registration algorithm for longitudinal imaging studies and adaptive radiotherapy
    Journal Article

    Lee, D.; Alam, S.; Jiang, J.; Cervino, L.; Hu, Y. C.; Zhang, P.
    Medical Physics (2023)

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  • RMSim: Controlled respiratory motion simulation on static patient scans
    Journal Article

    Lee, D.; Yorke, E.; Zarepisheh, M.; Nadeem, S.; Hu, Y. C.
    Physics in Medicine and Biology (2023)

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  • Deep learning-based computed tomographic image super-resolution via wavelet embedding
    Journal Article

    Kim, H.; Lee, H.; Lee, D.
    Radiation Physics and Chemistry (2023)

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  • Accuracy evaluation of surface registration algorithm using normal distribution transform in stereotactic body radiotherapy/radiosurgery: A phantom study
    Journal Article

    Lee, H.; Park, J. M.; Kim, K. H.; Lee, D. H.; Sohn, M. J.
    Journal of Applied Clinical Medical Physics (2022)

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  • Realistic respiratory motion simulation using deep learning
    Meeting Abstract

    Lee, D.; Nadeem, S.; Hu, Y.
    Medical Physics (2022)

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  • Longitudinal unsupervised deformable image registration network for adaptive radiotherapy
    Meeting Abstract

    Lee, D.; Hu, Y.; Alam, S.; Jiang, J.; Cervino, L.; Zhang, P.
    Medical Physics (2022)

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  • Deep learning driven predictive treatment planning for adaptive radiotherapy of lung cancer
    Journal Article

    Lee, D.; Hu, Y. C.; Kuo, L.; Alam, S.; Yorke, E.; Li, A.; Rimner, A.; Zhang, P.
    Radiotherapy and Oncology (2022)

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  • Deformation driven Seq2Seq longitudinal tumor and organs-at-risk prediction for radiotherapy
    Journal Article

    Lee, D.; Alam, S. R.; Jiang, J.; Zhang, P.; Nadeem, S.; Hu, Y. C.
    Medical Physics (2021)

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  • Powering predictive treatment planning by a Seq2Seq deep learning predictor
    Meeting Abstract

    Lee, D.; Hu, Y.; Kuo, L.; Alam, S.; Yorke, E.; Rimner, A.; Zhang, P.
    Medical Physics (2021)

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  • Predictive dose accumulation for HN adaptive radiotherapy
    Journal Article

    Lee, D.; Zhang, P.; Nadeem, S.; Alam, S.; Jiang, J.; Caringi, A.; Allgood, N.; Aristophanous, M.; Mechalakos, J.; Hu, Y. C.
    Physics in Medicine and Biology (2020)

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