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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.
  • Artificial Intelligence apps for medical image analysis using pyCERR and cancer genomics cloud
    Meeting Abstract

    Apte, A.; LoCastro, E.; Iyer, A.; Elguindi, S.; Jiang, J.; Oh, J. H.; Veeraraghavan, H.; Shukla-Dave, A.; Deasy, J. O.
    Clinical Cancer Research (2025)

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  • Prediction of radiotherapy-Induced esophagitis in non-small cell lung cancer using a 3D vision foundation model
    Meeting Abstract

    Choi, C. M. S.; Jiang, J.; Mankuzhy, N.; Chang, J.; Zeng, J.; Vargas, C.; Urbanic, J.; Choi, I.; Mcdonald, M.; Gray, J.; more...
    Clinical Cancer Research (2025)

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  • Multi-modality AI predictor of lung cancer immunotherapy treatment response of durable response (DR)
    Meeting Abstract

    Jiang, J.; Yu, H.; Gomez, D.; Veeraraghavan, H.
    Radiotherapy and Oncology (2025)

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  • Activating mutations in the MET kinase domain co-occur with other driver oncogenes and mediate resistance to targeted therapy in NSCLC
    Journal Article

    Nakazawa, S.; Pecci, F.; Ricciuti, B.; Gottlieb, F. H.; Facchinetti, F.; Harada, G.; Chen, M. F.; Repetto, M.; Giacomini, F.; Jiang, J.; more...
    Journal of Thoracic Oncology (2025)

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  • Large language model trained on clinical oncology data predicts cancer progression
    Journal Article

    Zhu, M.; Lin, H.; Jiang, J.; Jinia, A. J.; Jee, J.; Pichotta, K.; Waters, M.; Rose, D.; Schultz, N.; Chalise, S.; more...
    npj Digital Medicine (2025)

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  • Quantifying uncertainty in lung cancer segmentation with foundation models applied to mixed-domain datasets
    Conference Paper

    Rangnekar, A.; Nadkarni, N.; Jiang, J.; Veeraraghavan, H.
    SPIE (2025)

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  • Benchmarking transferability of self-supervised pretraining for multi-organ segmentation on different modalities
    Conference Paper

    Jiang, J.; Veeraraghavan, H.
    IEEE (2025)

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  • DCATNet: Polyp segmentation with deformable convolution and contextual-aware attention network
    Journal Article

    Wang, Z.; Li, T.; Liu, M.; Jiang, J.; Liu, X.
    BMC Medical Imaging (2025)

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  • Self-supervised learning improves robustness of deep learning lung tumor segmentation models to CT imaging differences
    Journal Article

    Jiang, J.; Rangnekar, A.; Veeraraghavan, H.
    Medical Physics (2025)

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  • Tumor aware recurrent inter-patient deformable image registration of computed tomography scans with lung cancer
    Journal Article

    Jiang, J.; Choi, C. M. S.; Thor, M.; Deasy, J. O.; Veeraraghavan, H.
    Medical Physics (2025)

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