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Jue Jiang

  1. "Radiotherapy Physics Service"
Formats
  1. Meeting Abstract (16)
  2. Journal Article (12)
  3. Conference Paper (3)
Groups
  1. Medical Physics (31)
  2. Radiotherapy Physics Service (31)
  3. Sloan Kettering Institute Postdocs (31)
  4. Radiation Oncology, Department of (8)
  5. Graduate Medical Education (5)
  6. Survivorship Research (5)

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People
  1. Harini Veeraraghavan (27)
  2. Neelam Tyagi (21)
  3. Joseph Deasy (18)
  4. Yu-Chi Hu (15)
  5. Laura Cervino Arriba (8)
  6. Sean Berry (8)

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Years
  1. 2024 (2)
  2. 2023 (3)
  3. 2022 (6)
  4. 2021 (3)
  5. 2020 (4)
  6. 2019 (9)

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Publications
  1. Medical Physics (22)
  2. Lecture Notes in Computer Science (3)
  3. Physics and Imaging in Radiation Oncology (2)
  4. Physics in Medicine and Biology (2)
  5. IEEE Transactions on Medical Imaging (1)
  6. International Journal of Radiation Oncology, Biology, Physics (1)
Publishers
  1. American Association of Physicists in Medicine (22)
  2. Springer (3)
  3. Elsevier B.V. (2)
  4. IOP Publishing Ltd (2)
  5. Elsevier Inc. (1)
  6. IEEE (1)

Results (31)

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  • Automated contour edit tracking to improve AI auto-segmentation
    Meeting Abstract

    Elguindi, S.; Li, A.; Zhu, M.; Cervino, L.; Veeraraghavan, H.; Jiang, J.; LoCastro, E.
    Medical Physics (2022)

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  • Synthetic lung MRI for auto-segmentation using Unet training: Supervised cross-domain adaptation from CT to MRI
    Meeting Abstract

    Liu, Y.; Jiang, J.; Tyagi, N.; Veeraraghavan, H.; Li, G.; Deasy, J.; Cervino, L.
    Medical Physics (2021)

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  • Multi-year clinical experience with in-house developed AI auto-segmentation for radiotherapy planning
    Meeting Abstract

    Elguindi, S.; Jiang, J.; Apte, A.; Iyer, A.; LoCastro, E.; Hu, Y.; Cha, E.; Gillespie, E.; Onochie, I.; Gorovets, D.; more...
    Medical Physics (2021)

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  • Deep learning auto-segmentation and automated treatment planning for trismus risk reduction in head and neck cancer radiotherapy
    Journal Article

    Thor, M.; Iyer, A.; Jiang, J.; Apte, A.; Veeraraghavan, H.; Allgood, N. B.; Kouri, J. A.; Zhou, Y.; LoCastro, E.; Elguindi, S.; more...
    Physics and Imaging in Radiation Oncology (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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  • PSIGAN: Joint probabilistic segmentation and image distribution matching for unpaired cross-modality adaptation-based MRI segmentation
    Journal Article

    Jiang, J.; Hu, Y. C.; Tyagi, N.; Rimner, A.; Lee, N.; Deasy, J. O.; Berry, S.; Veeraraghavan, H.
    IEEE Transactions on Medical Imaging (2020)

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  • Self-derived organ attention for unpaired CT-MRI deep domain adaptation based MRI segmentation
    Journal Article

    Jiang, J.; Hu, Y. C.; Tyagi, N.; Wang, C.; Lee, N.; Deasy, J. O.; Sean, B.; Veeraraghavan, H.
    Physics in Medicine and Biology (2020)

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  • Patch-based generative adversarial neural network models for head and neck MR-only planning
    Journal Article

    Klages, P.; Benslimane, I.; Riyahi, S.; Jiang, J.; Hunt, M.; Deasy, J. O.; Veeraraghavan, H.; Tyagi, N.
    Medical Physics (2020)

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  • Deep learning-based auto-segmentation of targets and organs-at-risk for magnetic resonance imaging only planning of prostate radiotherapy
    Journal Article

    Elguindi, S.; Zelefsky, M. J.; Jiang, J.; Veeraraghavan, H.; Deasy, J. O.; Hunt, M. A.; Tyagi, N.
    Physics and Imaging in Radiation Oncology (2019)

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  • Integrating cross-modality hallucinated MRI with CT to aid mediastinal lung tumor segmentation
    Conference Paper

    Jue, J.; Jason, H.; Neelam, T.; Andreas, R.; Sean, B. L.; Joseph, D. O.; Harini, V.
    Springer (2019)

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