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

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

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  • Colorectal polyp segmentation with denoising diffusion probabilistic models
    Journal Article

    Wang, Z.; Liu, M.; Jiang, J.; Qu, X.
    Computers in Biology and Medicine (2024)

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  • EH-former: Regional easy-hard-aware transformer for breast lesion segmentation in ultrasound images
    Journal Article

    Qu, X.; Zhou, J.; Jiang, J.; Wang, W.; Wang, H.; Wang, S.; Tang, W.; Lin, X.
    Information Fusion (2024)

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  • Ultrasound channel attention residual network for medical plane wave echo data-based average sound speed estimation
    Journal Article

    Zheng, F.; Fan, S.; Wei, Y.; Wang, Z.; Wei, X.; Borjigin, W.; Jiang, J.; Qu, X.
    Measurement: Journal of the International Measurement Confederation (2024)

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  • Wasserstein HOG: Local directionality extraction via optimal transport
    Journal Article

    Zhu, J.; Veeraraghavan, H.; Jiang, J.; Oh, J. H.; Norton, L.; Deasy, J. O.; Tannenbaum, A.
    IEEE Transactions on Medical Imaging (2024)

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  • Artificial intelligence-based automated segmentation and radiotherapy dose mapping for thoracic normal tissues
    Journal Article

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

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  • Determining the dosimetric accuracy of deep learning-based fully automated registration-segmentation approach for thoracic cancer organs-at-risk contouring
    Meeting Abstract

    Choi, C.; Thor, M.; Jiang, J.; Rimner, A.; Veeraraghavan, H.
    International Journal of Radiation Oncology, Biology, Physics (2023)

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  • Clinical feasibility of deep learning-based CT during treatment CBCT tumor registration-segmentation in thoracic radiotherapy (RT)
    Meeting Abstract

    Choi, C.; Mankuzhy, N. P.; Jiang, J.; Elguindi, S.; Thor, M.; Rimner, A.; Veeraraghavan, H.
    International Journal of Radiation Oncology, Biology, Physics (2023)

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  • AI serial image prediction of progression-free survival (PFS) for locally advanced non-small cell lung cancer (LA-NSCLC) patients treated with chemoradiation (CRT) and durvalumab consolidation
    Meeting Abstract

    Veeraraghavan, H.; Jiang, J.; Jee, J.; Lebow, E. S.; Deasy, J. O.; Rimner, A.; Shaverdian, N.; Yu, H.; Gomez, D. R.
    International Journal of Radiation Oncology, Biology, Physics (2023)

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  • Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone-beam CT
    Journal Article

    Jiang, J.; Hong, J.; Tringale, K.; Reyngold, M.; Crane, C.; Tyagi, N.; Veeraraghavan, H.
    Medical Physics (2023)

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