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Jue Jiang

Formats
  1. Journal Article (37)
  2. Meeting Abstract (36)
  3. Conference Paper (9)
  4. Book Section (1)
Groups
  1. Medical Physics (83)
  2. Sloan Kettering Institute Postdocs (83)
  3. Radiotherapy Physics Service (31)
  4. Radiation Oncology, Department of (16)
  5. Population Sciences Research Program (15)
  6. Graduate Medical Education (13)

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People
  1. Harini Veeraraghavan (62)
  2. Joseph Deasy (41)
  3. Neelam Tyagi (21)
  4. Andreas Rimner (19)
  5. Yu-Chi Hu (19)
  6. Maria Thor (15)

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Years
  1. 2025 (10)
  2. 2024 (16)
  3. 2023 (7)
  4. 2022 (14)
  5. 2021 (9)
  6. 2020 (9)

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Publications
  1. Medical Physics (38)
  2. International Journal of Radiation Oncology, Biology, Physics (7)
  3. Lecture Notes in Computer Science (6)
  4. IEEE Transactions on Medical Imaging (5)
  5. Physics and Imaging in Radiation Oncology (3)
  6. Physics in Medicine and Biology (3)

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Publishers
  1. American Association of Physicists in Medicine (38)
  2. Elsevier Inc. (15)
  3. IEEE (10)
  4. Springer (6)
  5. Elsevier B.V. (4)
  6. IOP Publishing Ltd (3)

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Results (83)


Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • 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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  • Patient-specific anatomic context and shape prior (PACS)-aware recurrent network for cone-beam CT lung cancer segmentation
    Meeting Abstract

    Jiang, J.; Alam, S.; Chen, I.; Zhang, P.; Rimner, A.; Deasy, J.; Veeraraghavan, H.
    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 cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation
    Journal Article

    Jiang, J.; Riyahi Alam, S.; Chen, I.; Zhang, P.; Rimner, A.; Deasy, J. O.; Veeraraghavan, H.
    Medical Physics (2021)

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  • A deep learning-based automatic first-arrival picking method for ultrasound sound-speed tomography
    Journal Article

    Qu, X.; Yan, G.; Zheng, D.; Fan, S.; Rao, Q.; Jiang, J.
    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (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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  • An attention-supervised full-resolution residual network for the segmentation of breast ultrasound images
    Journal Article

    Qu, X.; Shi, Y.; Hou, Y.; Jiang, J.
    Medical Physics (2020)

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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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