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Mireia Crispin Ortuzar

Formats
  1. Meeting Abstract (6)
  2. Journal Article (4)
Groups
  1. Medical Physics (10)
  2. Sloan Kettering Institute Postdocs (10)
  3. Radiation Oncology, Department of (5)
  4. Radiotherapy Physics Service (4)
  5. Molecular Imaging and Therapy Service (2)
  6. Radiology, Department of (2)

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People
  1. Joseph Deasy (10)
  2. Aditya Apte (6)
  3. Jung Hun Oh (6)
  4. John Humm (5)
  5. Nancy Lee (5)
  6. Jeho Jeong (4)

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Years
  1. 2020 (1)
  2. 2018 (2)
  3. 2017 (6)
  4. 2016 (1)
Publications
  1. Medical Physics (6)
  2. Radiotherapy and Oncology (2)
  3. International Journal of Radiation Oncology, Biology, Physics (1)
  4. Physics in Medicine and Biology (1)
Publishers
  1. American Association of Physicists in Medicine (6)
  2. Elsevier Inc. (3)
  3. IOP Publishing Ltd (1)

Results (10)


Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • Non-invasive imaging prediction of tumor hypoxia: A novel developed and externally validated CT and FDG-PET-based radiomic signatures
    Journal Article

    Sanduleanu, S.; Jochems, A.; Upadhaya, T.; Even, A. J. G.; Leijenaar, R. T. H.; Dankers, F. J. W. M.; Klaassen, R.; Woodruff, H. C.; Hatt, M.; Kaanders, H. J. A. M.; more...
    Radiotherapy and Oncology (2020)

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  • Technical Note: Extension of CERR for computational radiomics: A comprehensive MATLAB platform for reproducible radiomics research
    Journal Article

    Apte, A. P.; Iyer, A.; Crispin-Ortuzar, M.; Pandya, R.; van Dijk, L. V.; Spezi, E.; Thor, M.; Um, H.; Veeraraghavan, H.; Oh, J. H.; more...
    Medical Physics (2018)

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  • Predicting hypoxia status using a combination of contrast-enhanced computed tomography and (18)F-fluorodeoxyglucose positron emission tomography radiomics features
    Journal Article

    Crispin-Ortuzar, M.; Apte, A.; Grkovski, M.; Oh, J. H.; Lee, N. Y.; Schòˆder, H.; Humm, J. L.; Deasy, J. O.
    Radiotherapy and Oncology (2018)

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  • Predicting lung tumor regression: Combining FDG PET-based mechanistic models and CT-based geometric models
    Meeting Abstract

    Crispin Ortuzar, M.; Zhang, P.; Jeong, J.; Rimner, A.; Deasy, J. O.
    Medical Physics (2017)

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  • Robustness against artifacts, reliability and reproducibility of CT radiomics features in head and neck cancer
    Meeting Abstract

    Crispin Ortuzar, M.; Deasy, J. O.; Apte, A.
    Medical Physics (2017)

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  • Best in Physics (Joint Imaging-Therapy): Using FDG PET and CT radiomics features to predict FMISO uptake in head and neck cancer
    Meeting Abstract

    Crispin Ortuzar, M.; Apte, A.; Grkovski, M.; Oh, J. H.; Lee, N. Y.; Humm, J. L.; Deasy, J. O.
    Medical Physics (2017)

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  • Comparison between mechanistic radiobiological modeling vs. Fowler BED equation in evaluating lung cancer radiotherapy outcome for a broad range of fractionation
    Meeting Abstract

    Jeong, J.; Oh, J.; Fontanella, A.; Crispin-Ortuzar, M.; Deasy, J. O.
    Medical Physics (2017)

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  • Combined FDG and CT radiomics features predict FMISO uptake in head and neck cancer
    Meeting Abstract

    Crispin-Ortuzar, M.; Apte, A.; Grkovski, M.; Oh, J. H.; Lee, N.; Humm, J.; Deasy, J. O.
    International Journal of Radiation Oncology, Biology, Physics (2017)

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  • A radiobiological model of radiotherapy response and its correlation with prognostic imaging variables
    Journal Article

    Crispin-Ortuzar, M.; Jeong, J.; Fontanella, A. N.; Deasy, J. O.
    Physics in Medicine and Biology (2017)

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  • Radiobiological modeling of tumor response during radiotherapy based on pre-treatment dynamic PET imaging data
    Meeting Abstract

    Crispin-Ortuzar, M.; Grkovski, M.; Beattie, B.; Lee, N.; Riaz, N.; Humm, J.; Jeong, J.; Fontanella, A.; Deasy, J.
    Medical Physics (2016)

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