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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.
  • Dominant index prostatic lesions segmentation using deep learning for MR-guided radiative ablation
    Meeting Abstract

    Simeth, J.; Jiang, J.; Nosov, A.; Wimber, A.; Zelefsky, M.; Tyagi, N.; Veeraraghavan, H.
    Medical Physics (2022)

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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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  • Beating the curse of dimensionality: Applying unbalanced optimal transport clustering of delta radiomics to predict survival outcomes in lung cancer patients treated with immunotherapy
    Meeting Abstract

    Veeraraghavan, H.; Oh, J.; Zhu, J.; Jiang, J.; Tannenbaum, A.; Gomez, D.; Deasy, J.
    Medical Physics (2022)

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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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  • 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)

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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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  • 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)

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  • 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)

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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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