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Jung Hun Oh

Formats
  1. Journal Article (108)
  2. Meeting Abstract (77)
  3. Conference Paper (7)
  4. Book Section (1)
  5. Editorial (1)
Groups
  1. Medical Physics (194)
  2. Sloan Kettering Institute Postdocs (99)
  3. Radiation Oncology, Department of (49)
  4. Radiology, Department of (41)
  5. Population Sciences Research Program (36)
  6. Radiotherapy Physics Service (32)

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People
  1. Joseph Deasy (148)
  2. Aditya Apte (67)
  3. Maria Thor (31)
  4. Nancy Lee (27)
  5. Amita Dave (23)
  6. Vaios Hatzoglou (22)

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Years
  1. 2025 (12)
  2. 2024 (9)
  3. 2023 (7)
  4. 2022 (13)
  5. 2021 (12)
  6. 2020 (20)

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Publications
  1. International Journal of Radiation Oncology, Biology, Physics (37)
  2. Medical Physics (33)
  3. Radiotherapy and Oncology (17)
  4. Clinical Cancer Research (5)
  5. PLoS ONE (5)
  6. Journal of Magnetic Resonance Imaging (4)

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Publishers
  1. Elsevier Inc. (67)
  2. American Association of Physicists in Medicine (33)
  3. MDPI (9)
  4. Oxford University Press (9)
  5. Nature Publishing Group (8)
  6. American Association for Cancer Research (6)

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Results (194)


Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • Gene- and pathway-based deep neural network for multi-omics data integration to predict cancer survival outcomes
    Conference Paper

    Hao, J.; Masum, M.; Oh, J. H.; Kang, M.
    Springer (2019)

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  • Predictors of acute throat or esophageal patient reported pain during radiation therapy for head and neck cancer
    Journal Article

    Gay, H. A.; Oh, J. H.; Apte, A. P.; Daly, M. D.; Adkins, D. R.; Rich, J.; Oppelt, P. J.; Dyk, P. T.; Mullen, D. F.; Eschen, L.; more...
    Clinical and Translational Radiation Oncology (2018)

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  • PASCL: Pathway-based sparse deep clustering for identifying unknown cancer subtypes
    Conference Paper

    Mallavarapu, T.; Hao, J.; Kim, Y.; Oh, J. H.; Kang, M.
    IEEE (2018)

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  • Cox-PASNet: Pathway-based sparse deep neural network for survival analysis
    Conference Paper

    Hao, J.; Kim, Y.; Mallavarapu, T.; Oh, J. H.; Kang, M.
    IEEE (2018)

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  • Incorporating spatial dose metrics in machine learning-based normal tissue complication probability (NTCP) models of severe acute dysphagia resulting from head and neck radiotherapy
    Journal Article

    Dean, J.; Wong, K.; Gay, H.; Welsh, L.; Jones, A. B.; Schick, U.; Oh, J. H.; Apte, A.; Newbold, K.; Bhide, S.; more...
    Clinical and Translational Radiation Oncology (2018)

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  • Pretreatment dynamic contrast-enhanced MRI biomarkers correlate with progression-free survival in primary central nervous system lymphoma
    Journal Article

    Hatzoglou, V.; Oh, J. H.; Buck, O.; Lin, X.; Lee, M.; Shukla-Dave, A.; Young, R. J.; Peck, K. K.; Vachha, B.; Holodny, A. I.; more...
    Journal of Neuro-Oncology (2018)

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  • The role of heart-related dose-volume metrics on overall survival in the RTOG 0617 clinical trial
    Meeting Abstract

    Thor, M.; Deasy, J. O.; Hu, C.; Choy, H.; Komaki, R. U.; Masters, G.; Blumenschein, G. R.; Forster, K. M.; Oh, J. H.; Kavadi, V. S.; more...
    International Journal of Radiation Oncology, Biology, Physics (2018)

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  • Identifying biological subtypes of head and neck squamous cell carcinoma (HNSCC) from contrast enhanced CT scans using radiomic and The Cancer Genome Atlas (TCGA)
    Meeting Abstract

    Katsoulakis, E.; Oh, J. H.; Leeman, J. E.; Yu, Y.; Tsai, C. J.; McBride, S.; Katabi, N.; Apte, A.; Deasy, J. O.; Lee, N.; more...
    International Journal of Radiation Oncology, Biology, Physics (2018)

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  • Machine learning and modeling: Data, validation, communication challenges
    Journal Article

    El Naqa, I.; Ruan, D.; Valdes, G.; Dekker, A.; McNutt, T.; Ge, Y.; Wu, Q. J.; Oh, J. H.; Thor, M.; Smith, W.; more...
    Medical Physics (2018)

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  • Predicting genitourinary toxicity by machine learning on genome-wide single nucleotide polymorphisms
    Meeting Abstract

    Lee, S.; Oh, J.; Kerns, S.; Rosenstein, B.; Ostrer, H.; Deasy, J.
    Radiotherapy and Oncology (2018)

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