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Jue Jiang

  1. "Lecture Notes in Computer Science"
Formats
  1. Conference Paper (6)
Groups
  1. Medical Physics (6)
  2. Sloan Kettering Institute Postdocs (6)
  3. Radiotherapy Physics Service (3)
  4. Center for Pancreatic Cancer Research (1)
  5. GME, Radiation Oncology (1)
  6. Graduate Medical Education (1)

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People
  1. Harini Veeraraghavan (5)
  2. Neelam Tyagi (3)
  3. Yu-Chi Hu (3)
  4. Andreas Rimner (2)
  5. Joseph Deasy (2)
  6. Pengpeng Zhang (2)

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Years
  1. 2024 (1)
  2. 2022 (1)
  3. 2020 (2)
  4. 2019 (1)
  5. 2018 (1)
Publications
  1. Lecture Notes in Computer Science (6)
Publishers
  1. Springer (6)

Results (6)

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  • 3D Swin transformer for partial medical auto segmentation
    Conference Paper

    Rangnekar, A.; Jiang, J.; Veeraraghavan, H.
    Springer (2024)

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  • Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)
    Conference Paper

    Jiang, J.; Tyagi, N.; Tringale, K.; Crane, C.; Veeraraghavan, H.
    Springer (2022)

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  • Longitudinal prediction of radiation-induced anatomical changes of parotid glands during radiotherapy using deep learning
    Conference Paper

    Lee, D.; Alam, S.; Nadeem, S.; Jiang, J.; Zhang, P.; Hu, Y. C.
    Springer (2020)

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  • Unified cross-modality feature disentangler for unsupervised multi-domain MRI abdomen organs segmentation
    Conference Paper

    Jiang, J.; Veeraraghavan, H.
    Springer (2020)

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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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  • Tumor-aware, adversarial domain adaptation from CT to MRI for lung cancer segmentation
    Conference Paper

    Jiang, J.; Hu, Y. C.; Tyagi, N.; Zhang, P.; Rimner, A.; Mageras, G. S.; Deasy, J. O.; Veeraraghavan, H.
    Springer (2018)

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