Search Within

Jue Jiang

Formats
  1. Journal Article (36)
  2. Meeting Abstract (33)
  3. Conference Paper (9)
  4. Book Section (1)
Groups
  1. Medical Physics (79)
  2. Sloan Kettering Institute Postdocs (79)
  3. Radiotherapy Physics Service (31)
  4. Population Sciences Research Program (14)
  5. Radiation Oncology, Department of (14)
  6. Graduate Medical Education (11)

More Groups

People
  1. Harini Veeraraghavan (59)
  2. Joseph Deasy (39)
  3. Neelam Tyagi (21)
  4. Andreas Rimner (19)
  5. Yu-Chi Hu (19)
  6. Maria Thor (14)

More People

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

More Years

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)

More Publications

Publishers
  1. American Association of Physicists in Medicine (38)
  2. Elsevier Inc. (13)
  3. IEEE (10)
  4. Springer (6)
  5. Elsevier B.V. (4)
  6. IOP Publishing Ltd (3)

More Publishers

Results (79)


Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • 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)

    Fulltext@MSK | Save
  • Unpaired cross-modality educed distillation (CMEDL) for medical image segmentation
    Journal Article

    Jiang, J.; Rimner, A.; Deasy, J. O.; Veeraraghavan, H.
    IEEE Transactions on Medical Imaging (2022)

    Fulltext@MSK | Save
  • 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)

    Fulltext@MSK | Save
  • Deep learning from small labeled datasets applied to medical image analysis
    Book Section

    Veeraraghavan, H.; Jiang, J.
    In El-Baz, A. S.; Suri, J. S. (Eds.) State of the Art in Neural Networks and Their Applications: Volume 1 (2021)

    Fulltext@MSK | Save
  • 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)

    Fulltext@MSK | Save
  • 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)

    Fulltext@MSK | Save
  • 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)

    Fulltext@MSK | Save
  • 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)

    Fulltext@MSK | Save
  • 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)

    Fulltext@MSK | Save
  • 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)

    Fulltext@MSK | Save