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Joseph Owen Deasy

Formats
  1. Meeting Abstract (271)
  2. Journal Article (227)
  3. Conference Paper (15)
  4. Review (6)
  5. Book Section (4)
  6. Editorial (3)
  7. Correspondence (1)
Groups
  1. Medical Physics (527)
  2. Sloan Kettering Institute Postdocs (280)
  3. Radiotherapy Physics Service (207)
  4. Radiation Oncology, Department of (128)
  5. Population Sciences Research Program (116)
  6. Radiology, Department of (64)

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People
  1. Aditya Apte (151)
  2. Jung Hun Oh (144)
  3. Maria Thor (114)
  4. Andreas Rimner (102)
  5. Harini Veeraraghavan (84)
  6. Nancy Lee (55)

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Years
  1. 2025 (12)
  2. 2024 (30)
  3. 2023 (25)
  4. 2022 (44)
  5. 2021 (47)
  6. 2020 (39)

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Publications
  1. Medical Physics (181)
  2. International Journal of Radiation Oncology, Biology, Physics (107)
  3. Radiotherapy and Oncology (43)
  4. Physics in Medicine and Biology (18)
  5. Physics and Imaging in Radiation Oncology (10)
  6. Acta Oncologica (9)

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Publishers
  1. American Association of Physicists in Medicine (181)
  2. Elsevier Inc. (176)
  3. IOP Publishing Ltd (18)
  4. Nature Publishing Group (17)
  5. Elsevier B.V. (10)
  6. Springer (10)

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Results (527)


Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • Dynamic multiatlas selection-based consensus segmentation of head and neck structures from CT images
    Journal Article

    Haq, R.; Berry, S. L.; Deasy, J. O.; Hunt, M.; Veeraraghavan, H.
    Medical Physics (2019)

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  • Dual-input tracer kinetic modeling of dynamic contrast-enhanced MRI in thoracic malignancies
    Journal Article

    Lee, S. H.; Rimner, A.; Deasy, J. O.; Hunt, M. A.; Tyagi, N.
    Journal of Applied Clinical Medical Physics (2019)

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  • Deep learning-based auto-segmentation of targets and organs-at-risk for magnetic resonance imaging only planning of prostate radiotherapy
    Journal Article

    Elguindi, S.; Zelefsky, M. J.; Jiang, J.; Veeraraghavan, H.; Deasy, J. O.; Hunt, M. A.; Tyagi, N.
    Physics and Imaging in Radiation Oncology (2019)

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  • Cardio-pulmonary substructure segmentation of CT images using convolutional neural networks
    Conference Paper

    Haq, R.; Hotca, A.; Apte, A.; Rimner, A.; Deasy, J. O.; Thor, M.
    Springer (2019)

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  • Integrating cross-modality hallucinated MRI with CT to aid mediastinal lung tumor segmentation
    Conference Paper

    Jue, J.; Jason, H.; Neelam, T.; Andreas, R.; Sean, B. L.; Joseph, D. O.; Harini, V.
    Springer (2019)

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  • A theoretical investigation of adequate range uncertainty margins in proton treatment planning to preserve tumor control probability
    Conference Paper

    Taasti, V. T.; Jeong, J.; Jackson, A.; Deasy, J. O.
    Informa Healthcare (2019)

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  • Prediction of treatment (tx)-induced fatigue in breast cancer (BC) patients (pts) using machine learning on genome-wide association (GWAS) data in the prospective CANTO cohort
    Meeting Abstract

    Lee, S.; Deasy, J. O.; Oh, J. H.; Di Meglio, A.; Boyault, S.; Rousseau-Tsangaris, M.; Besse, C.; Thomas, E.; Boland-AugeĢ, A.; Cottu, P. H.; more...
    Journal of Clinical Oncology (2019)

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  • An anti-tumor immune response is evoked by partial-volume single dose radiation
    Meeting Abstract

    Haimovitz-Friedman, A.; Humm, J.; Deasy, J. O.; Wolchok, J.; Merghoub, T.; Russell, J.; Li, H.; Samstein, R.; Budhu, S.; Powell, S.; more...
    Cancer Research (2019)

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  • Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets
    Journal Article

    Jiang, J.; Hu, Y. C.; Tyagi, N.; Zhang, P.; Rimner, A.; Deasy, J. O.; Veeraraghavan, H.
    Medical Physics (2019)

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  • Toward predicting the evolution of lung tumors during radiotherapy observed on a longitudinal MR imaging study via a deep learning algorithm
    Journal Article

    Wang, C.; Rimner, A.; Hu, Y. C.; Tyagi, N.; Jiang, J.; Yorke, E.; Riyahi, S.; Mageras, G.; Deasy, J. O.; Zhang, P.
    Medical Physics (2019)

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