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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.
  • Enhancing Swin transformer with semantic attention for explainable prediction: A case study with lung cancer CT images
    Meeting Abstract

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

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  • Deep learning improves registration accuracy for voxel-based radiotherapy outcomes modeling
    Meeting Abstract

    Choi, C. M. S.; Jiang, J.; Deasy, J. O.; Rimner, A.; Thor, M.; Veeraraghavan, H.
    Radiotherapy and Oncology (2024)

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  • Robustness of pretrained transformers on lung cancer segmentation with computed tomography scans
    Meeting Abstract

    Rangnekar, A.; Nadkarni, N.; Jiang, J.; Veeraraghavan, H.
    Medical Physics (2024)

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  • Comparison of deep learning network and ants on the registration of MR to PET CT for head and neck cancer patients
    Meeting Abstract

    Zhao, W.; Jiang, J.; Aliotta, E.; Paudyal, R.; Shukla-Dave, A.; Yu, Y.; Lee, N. Y.; Deasy, J. O.; Veeraraghavan, H.
    Medical Physics (2024)

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  • Evaluation of CT-based AI segmentation on ethos hypersight CBCT for head and neck radiotherapy
    Meeting Abstract

    Hu, Y. C.; Kuo, L.; Elguindi, S. F.; Lim, S. B. G.; Jiang, J.; Veeraraghavan, H.; Zhang, P.; Aristophanous, M.; Cervino, L. I.
    Medical Physics (2024)

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  • Cloud-based dissemination of AI models using pyCERR
    Meeting Abstract

    Iyer, A.; LoCastro, E. M.; Jiang, J.; Veeraraghavan, H.; Elguindi, S. F.; Deasy, J. O.; Apte, A. P.
    Medical Physics (2024)

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  • Al generated clinical target volumes for oropharyngeal cancers using a general foundation model
    Meeting Abstract

    Elguindi, S.; Lee, N. Y.; Yu, Y.; Jiang, J.; Deasy, J. O.; Veeraraghavan, H.
    International Journal of Radiation Oncology, Biology, Physics (2024)

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  • In-depth timing study of AI-assisted oar contouring with a single institution expert
    Meeting Abstract

    Elguindi, S.; Jiang, J.; Veeraraghavan, H.; Apte, A.; LoCastro, E.; Iyer, A.; Onochie, I.
    International Journal of Radiation Oncology, Biology, Physics (2024)

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  • AI contouring in HDR prostate brachytherapy using a general foundation model
    Meeting Abstract

    Beaudry, J.; Youssef, I.; Damato, A. L.; Jiang, J.; Veeraraghavan, H.; Kollmeier, M. A.; Elguindi, S.
    International Journal of Radiation Oncology, Biology, Physics (2024)

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  • Predicting thoracic toxicity with large vision foundation model using pretreatment data
    Meeting Abstract

    Choi, C.; Jiang, J.; Thor, M.; Rimner, A.; Deasy, J. O.; Kim, J. S.; Veeraraghavan, H.
    International Journal of Radiation Oncology, Biology, Physics (2024)

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