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Jue Jiang

  1. "Population Sciences Research Program"
Formats
  1. Meeting Abstract (9)
  2. Journal Article (5)
Groups
  1. Medical Physics (14)
  2. Population Sciences Research Program (14)
  3. Sloan Kettering Institute Postdocs (14)
  4. Summer Clinical Oncology Research Experience (SCORE) (3)
  5. Radiation Oncology, Department of (2)
  6. Radiotherapy Physics Service (2)

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People
  1. Harini Veeraraghavan (14)
  2. Maria Thor (14)
  3. Joseph Deasy (12)
  4. Andreas Rimner (8)
  5. Sharif Elguindi (5)
  6. Aditi Iyer (4)

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Years
  1. 2025 (1)
  2. 2024 (3)
  3. 2023 (2)
  4. 2022 (3)
  5. 2021 (3)
  6. 2020 (1)

More Years

Publications
  1. Medical Physics (6)
  2. International Journal of Radiation Oncology, Biology, Physics (3)
  3. Physics and Imaging in Radiation Oncology (2)
  4. Physica Medica (1)
  5. Physics in Medicine and Biology (1)
  6. Radiotherapy and Oncology (1)
Publishers
  1. American Association of Physicists in Medicine (6)
  2. Elsevier Inc. (5)
  3. Elsevier B.V. (2)
  4. IOP Publishing Ltd (1)

Results (14)

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  • Tumor aware recurrent inter-patient deformable image registration of computed tomography scans with lung cancer
    Journal Article

    Jiang, J.; Choi, C. M. S.; Thor, M.; Deasy, J. O.; Veeraraghavan, H.
    Medical Physics (2025)

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  • Deep learning improves registration accuracy for voxel-based radiotherapy outcomes modeling
    Meeting Abstract

    Choi, C. M. S.; Jiang, J.; Deasy, J. O.; Rimner, A.; Thor, M.; Veeraraghavan, H.
    Radiotherapy and Oncology (2024)

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  • Predicting thoracic toxicity with large vision foundation model using pretreatment data
    Meeting Abstract

    Choi, C.; Jiang, J.; Thor, M.; Rimner, A.; Deasy, J. O.; Kim, J. S.; Veeraraghavan, H.
    International Journal of Radiation Oncology, Biology, Physics (2024)

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  • Artificial intelligence-based automated segmentation and radiotherapy dose mapping for thoracic normal tissues
    Journal Article

    Jiang, J.; Choi, C. M. S.; Deasy, J. O.; Rimner, A.; Thor, M.; Veeraraghavan, H.
    Physics and Imaging in Radiation Oncology (2024)

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  • Determining the dosimetric accuracy of deep learning-based fully automated registration-segmentation approach for thoracic cancer organs-at-risk contouring
    Meeting Abstract

    Choi, C.; Thor, M.; Jiang, J.; Rimner, A.; Veeraraghavan, H.
    International Journal of Radiation Oncology, Biology, Physics (2023)

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  • Clinical feasibility of deep learning-based CT during treatment CBCT tumor registration-segmentation in thoracic radiotherapy (RT)
    Meeting Abstract

    Choi, C.; Mankuzhy, N. P.; Jiang, J.; Elguindi, S.; Thor, M.; Rimner, A.; Veeraraghavan, H.
    International Journal of Radiation Oncology, Biology, Physics (2023)

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  • An AI-based approach to inter-subject deformable image registration
    Meeting Abstract

    Jiang, J.; Thor, M.; Rimner, A.; Deasy, J.; Veeraraghavan, H.
    Medical Physics (2022)

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  • Longitudinal monitoring of esophageal expansion to capture acute esophagitis prior to its onset
    Meeting Abstract

    Veeraraghavan, H.; Jiang, J.; Rimner, A.; Deasy, J.; Thor, M.
    Medical Physics (2022)

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  • Prospectively-validated deep learning model for segmenting swallowing and chewing structures in CT
    Journal Article

    Iyer, A.; Thor, M.; Onochie, I.; Hesse, J.; Zakeri, K.; LoCastro, E.; Jiang, J.; Veeraraghavan, H.; Elguindi, S.; Lee, N. Y.; more...
    Physics in Medicine and Biology (2022)

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  • Decreasing NTCP toxicity in lung cancer RT by reducing PTV margins using a combined deep learning auto-segmentation and automated treatment planning approach
    Meeting Abstract

    Thor, M.; Veeraraghavan, H.; Jiang, J.; Zarepisheh, M.; Rimner, A.; Deasy, J.
    Medical Physics (2021)

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