Search Within

Jung Hun Oh

  1. "Sloan Kettering Institute Postdocs"
Formats
  1. Journal Article (57)
  2. Meeting Abstract (33)
  3. Book Section (1)
  4. Conference Paper (1)
Groups
  1. Medical Physics (92)
  2. Sloan Kettering Institute Postdocs (92)
  3. Population Sciences Research Program (34)
  4. Radiation Oncology, Department of (25)
  5. Department of Medicine (23)
  6. Radiology, Department of (22)

More Groups

People
  1. Joseph Deasy (75)
  2. Maria Thor (31)
  3. Aditya Apte (22)
  4. Amita Dave (17)
  5. Nancy Lee (17)
  6. Ramesh Paudyal (14)

More People

Years
  1. 2025 (5)
  2. 2024 (8)
  3. 2023 (5)
  4. 2022 (9)
  5. 2021 (8)
  6. 2020 (15)

More Years

Publications
  1. Medical Physics (16)
  2. International Journal of Radiation Oncology, Biology, Physics (13)
  3. Radiotherapy and Oncology (9)
  4. Tomography (4)
  5. Blood (3)
  6. Cancers (3)

More Publications

Publishers
  1. Elsevier Inc. (28)
  2. American Association of Physicists in Medicine (16)
  3. MDPI (8)
  4. Nature Publishing Group (6)
  5. Frontiers Media S.A. (4)
  6. American Society of Hematology (3)

More Publishers

Results (92)

Export to EndNote / Excel | PubMed

Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • Dynamic network curvature analysis of gene expression reveals novel potential therapeutic targets in sarcoma
    Journal Article

    Elkin, R.; Oh, J. H.; Dela Cruz, F.; Norton, L.; Deasy, J. O.; Kung, A. L.; Tannenbaum, A. R.
    Scientific Reports (2024)

    Fulltext@MSK | Save
  • A genome-wide association study of contralateral breast cancer in the Women’s Environmental Cancer and Radiation Epidemiology Study
    Journal Article

    Sun, X.; Reiner, A. S.; Tran, A. P.; Watt, G. P.; Oh, J. H.; Mellemkjær, L.; Lynch, C. F.; Knight, J. A.; John, E. M.; Malone, K. E.; more...
    Breast Cancer Research (2024)

    Fulltext@MSK | Save
  • Exploring published and novel pre-treatment CT and PET radiomics to stratify risk of progression among early-stage non-small cell lung cancer patients treated with stereotactic radiation
    Journal Article

    Thor, M.; Fitzgerald, K.; Apte, A.; Hun Oh, J.; Iyer, A.; Odiase, O.; Nadeem, S.; Yorke, E. D.; Chaft, J.; Wu, A. J.; more...
    Radiotherapy and Oncology (2024)

    Fulltext@MSK | Save
  • Network modeling of apoptosis-related genes reveal a high-risk cluster in multiple myeloma
    Meeting Abstract

    Simhal, A. K.; Maclachlan, K. H.; Usmani, S. Z.; Norton, L.; Deasy, J. O.; Oh, J. H.; Tannenbaum, A.
    Blood (2023)

    Fulltext@MSK | Save
  • Gene interaction network analysis in multiple myeloma detects complex immune dysregulation associated with shorter survival
    Journal Article

    Simhal, A. K.; Maclachlan, K. H.; Elkin, R.; Zhu, J.; Norton, L.; Deasy, J. O.; Oh, J. H.; Usmani, S. Z.; Tannenbaum, A.
    Blood Cancer Journal (2023)

    Fulltext@MSK | Save
  • Preoperative (18)F-FDG PET/CT and CT radiomics for identifying aggressive histopathological subtypes in early stage lung adenocarcinoma
    Journal Article

    Choi, W.; Liu, C. J.; Alam, S. R.; Oh, J. H.; Vaghjiani, R.; Humm, J.; Weber, W.; Adusumilli, P. S.; Deasy, J. O.; Lu, W.
    Computational and Structural Biotechnology Journal (2023)

    Fulltext@MSK | Save
  • Predicting the germline dependence of hematuria risk in prostate cancer radiotherapy patients
    Journal Article

    Oh, J. H.; Lee, S.; Thor, M.; Rosenstein, B. S.; Tannenbaum, A.; Kerns, S.; Deasy, J. O.
    Radiotherapy and Oncology (2023)

    Fulltext@MSK | Save
  • Geometric graph neural networks on multi-omics data to predict cancer survival outcomes
    Journal Article

    Zhu, J.; Oh, J. H.; Simhal, A. K.; Elkin, R.; Norton, L.; Deasy, J. O.; Tannenbaum, A.
    Computers in Biology and Medicine (2023)

    Fulltext@MSK | Save
  • Using AI to predict radiotherapy toxicity risk based on patient germline genotyping
    Book Section

    Oh, J. H.; Lee, S.; Thor, M.; Deasy, J. O.
    In Mun, S. K.; Dieterich, S. (Eds.) Artificial Intelligence in Radiation Oncology (2022)

    Fulltext@MSK | Save
  • Network topology analysis reveals unique multiple myeloma genomic subtypes and potential new therapeutic targets
    Meeting Abstract

    Simhal, A.; Maclachlan, K.; Elkin, R.; Zhu, J.; Usmani, S.; Deasy, J. O.; Oh, J. H.; Tannenbaum, A.
    Clinical Lymphoma, Myeloma and Leukemia (2022)

    Fulltext@MSK | Save