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Hyemin Um

Formats
  1. Journal Article (7)
  2. Meeting Abstract (6)
Groups
  1. Medical Physics (13)
  2. Sloan Kettering Institute Postdocs (12)
  3. Neuroradiology Service (10)
  4. Radiology, Department of (10)
  5. Alumni (GSK) (3)
  6. GSK Faculty (3)

More Groups

People
  1. Harini Veeraraghavan (13)
  2. Robert Young (10)
  3. Florent Tixier (9)
  4. Joseph Deasy (7)
  5. Aditi Iyer (4)
  6. Aditya Apte (4)

More People

Years
  1. 2023 (1)
  2. 2020 (1)
  3. 2019 (7)
  4. 2018 (4)
Publications
  1. Medical Physics (7)
  2. Neuro-Oncology (2)
  3. Advances in Radiation Oncology (1)
  4. Journal of Clinical Oncology (1)
  5. Oncotarget (1)
  6. Physics in Medicine and Biology (1)
Publishers
  1. American Association of Physicists in Medicine (7)
  2. Oxford University Press (2)
  3. American Society of Clinical Oncology (1)
  4. Elsevier Inc. (1)
  5. IOP Publishing Ltd (1)
  6. Impact Journals (1)

Results (13)


Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • Radiomic analysis to predict histopathologically confirmed pseudoprogression in glioblastoma patients
    Journal Article

    McKenney, A. S.; Weg, E.; Bale, T. A.; Wild, A. T.; Um, H.; Fox, M. J.; Lin, A.; Yang, J. T.; Yao, P.; Birger, M. L.; more...
    Advances in Radiation Oncology (2023)

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  • Volumetric analysis of IDH-mutant lower-grade glioma: A natural history study of tumor growth rates before and after treatment
    Journal Article

    Huang, R. Y.; Young, R. J.; Ellingson, B. M.; Veeraraghavan, H.; Wang, W.; Tixier, F.; Um, H.; Nawaz, R.; Luks, T.; Kim, J.; more...
    Neuro-Oncology (2020)

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  • MRI radiomic features are associated with survival in melanoma brain metastases treated with immune checkpoint inhibitors
    Journal Article

    Bhatia, A.; Birger, M.; Veeraraghavan, H.; Um, H.; Tixier, F.; McKenney, A. S.; Cugliari, M.; Caviasco, A.; Bialczak, A.; Malani, R.; more...
    Neuro-Oncology (2019)

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  • Impact of image preprocessing on the scanner dependence of multi-parametric MRI radiomic features and covariate shift in multi-institutional glioblastoma datasets
    Journal Article

    Um, H.; Tixier, F.; Bermudez, D.; Deasy, J. O.; Young, R. J.; Veeraraghavan, H.
    Physics in Medicine and Biology (2019)

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  • Reliability of tumor segmentation in glioblastoma: Impact on the robustness of MRI-radiomic features
    Journal Article

    Tixier, F.; Um, H.; Young, R. J.; Veeraraghavan, H.
    Medical Physics (2019)

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  • Synthetic CTs generated by deep learning approaches: How good are they for radiomics analysis?
    Meeting Abstract

    Tixier, F.; Klages, P.; Riyahi, S.; Jiang, J.; Um, H.; Tyagi, N.; Young, R.; Veeraraghavan, H.
    Medical Physics (2019)

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  • Longitudinal segmentation of parotid gland changes from MRI through unsupervised cross-modality deep learning through structure-specific appearance constraints
    Meeting Abstract

    Jiang, J.; Um, H.; Hu, Y.; Tyagi, N.; Wang, C.; Lee, N.; Deasy, J.; Berry, S.; Veeraraghavan, H.
    Medical Physics (2019)

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  • Multiple resolution residual network for automatic lung tumor and lymph node segmentation using CT images
    Meeting Abstract

    Um, H.; Jiang, J.; Rimner, A.; Luo, L.; Deasy, J.; Thor, M.; Veeraraghavan, H.
    Medical Physics (2019)

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  • Preoperative MRI-radiomics features improve prediction of survival in glioblastoma patients over MGMT methylation status alone
    Journal Article

    Tixier, F.; Um, H.; Bermudez, D.; Iyer, A.; Apte, A.; Graham, M. S.; Nevel, K. S.; Deasy, J. O.; Young, R. J.; Veeraraghavan, H.
    Oncotarget (2019)

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  • MRI texture features and outcomes to immune checkpoint inhibitors in melanoma brain metastases
    Meeting Abstract

    Bhatia, A.; Birger, M.; Veeraraghavan, H.; Um, H.; McKenney, A. S.; Cugliari, M.; Caviasco, A.; Bialczak, A.; Malani, R.; Zhang, Z.; more...
    Journal of Clinical Oncology (2018)

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