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Peter Gibbs

  1. "Medical Physics"
Formats
  1. Journal Article (9)
  2. Book Section (1)
  3. Meeting Abstract (1)
Groups
  1. Medical Physics (11)
  2. Radiochemistry and Imaging Sciences Service (11)
  3. Radiology, Department of (11)
  4. Sloan Kettering Institute Postdocs (11)
  5. Body Imaging Service (9)
  6. Molecular Imaging and Therapy Service (7)

More Groups

People
  1. Katja Pinker-Domenig (7)
  2. Roberto Lo Gullo (7)
  3. Sunitha Thakur (7)
  4. Elizabeth Morris (6)
  5. Isaac Daimiel Naranjo (5)
  6. Maxine Jochelson (5)

More People

Years
  1. 2023 (2)
  2. 2022 (2)
  3. 2021 (2)
  4. 2020 (5)
Publications
  1. Cancers (2)
  2. European Radiology (2)
  3. Breast Cancer Research (1)
  4. Diagnostics (1)
  5. Diffusion MRI of the Breast (1)
  6. EBioMedicine (1)

More Publications

Publishers
  1. Elsevier Inc. (3)
  2. MDPI (3)
  3. Springer (2)
  4. Biomed Central Ltd (1)
  5. Lippincott Williams & Wilkins (1)
  6. Society of Nuclear Medicine (1)

Results (11)

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  • ComBat harmonization for MRI radiomics: Impact on nonbinary tissue classification by machine learning
    Journal Article

    Leithner, D.; Nevin, R. B.; Gibbs, P.; Weber, M.; Otazo, R.; Vargas, H. A.; Mayerhoefer, M. E.
    Investigative Radiology (2023)

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  • Artificial intelligence-enhanced breast MRI and DWI: Current status and future applications
    Book Section

    Pinker, K.; Lo Gullo, R.; Eskreis-Winkler, S.; Bitencourt, A.; Gibbs, P.; Thakur, S. B.
    In Iima, M.; Partridge, S. C.; Le Bihan, D. (Eds.) Diffusion MRI of the Breast (2023)

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  • Impact of ComBat harmonization on PET radiomics-based tissue classification: A dual-center PET/MRI and PET/CT study
    Journal Article

    Leithner, D.; Schöder, H.; Haug, A.; Vargas, H. A.; Gibbs, P.; Häggström, I.; Rausch, I.; Weber, M.; Becker, A. S.; Schwartz, J.; more...
    Journal of Nuclear Medicine (2022)

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  • Breast lesion classification with multiparametric breast MRI using radiomics and machine learning: A comparison with radiologists’ performance
    Journal Article

    Naranjo, I. D.; Gibbs, P.; Reiner, J. S.; Lo Gullo, R.; Thakur, S. B.; Jochelson, M. S.; Thakur, N.; Baltzer, P. A. T.; Helbich, T. H.; Pinker, K.
    Cancers (2022)

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  • Assessing PD-L1 expression status using radiomic features from contrast-enhanced breast MRI in breast cancer patients: Initial results
    Journal Article

    Lo Gullo, R.; Wen, H.; Reiner, J. S.; Hoda, R.; Sevilimedu, V.; Martinez, D. F.; Thakur, S. B.; Jochelson, M. S.; Gibbs, P.; Pinker, K.
    Cancers (2021)

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  • Radiomics and machine learning with multiparametric breast MRI for improved diagnostic accuracy in breast cancer diagnosis
    Journal Article

    Daimiel Naranjo, I.; Gibbs, P.; Reiner, J. S.; Lo Gullo, R.; Sooknanan, C.; Thakur, S. B.; Jochelson, M. S.; Sevilimedu, V.; Morris, E. A.; Baltzer, P. A. T.; more...
    Diagnostics (2021)

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  • Radiomics and machine learning with DWI for breast cancer diagnosis: Comparison with dynamic contrast enhanced and multiparametric MRI
    Meeting Abstract

    Daimiel Naranjo, I.; Gibss, P.; Sooknanan, C.; Logullo, R.; Rossi Saccarelli, C.; Morris, E.; Thakur, S.; Pinker, K.
    European Journal of Cancer (2020)

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  • Improved characterization of sub-centimeter enhancing breast masses on MRI with radiomics and machine learning in BRCA mutation carriers
    Journal Article

    Lo Gullo, R.; Daimiel, I.; Rossi Saccarelli, C.; Bitencourt, A.; Gibbs, P.; Fox, M. J.; Thakur, S. B.; Martinez, D. F.; Jochelson, M. S.; Morris, E. A.; more...
    European Radiology (2020)

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  • MRI-based machine learning radiomics can predict HER2 expression level and pathologic response after neoadjuvant therapy in HER2 overexpressing breast cancer
    Journal Article

    Bitencourt, A. G. V.; Gibbs, P.; Rossi Saccarelli, C.; Daimiel, I.; Lo Gullo, R.; Fox, M. J.; Thakur, S.; Pinker, K.; Morris, E. A.; Morrow, M.; more...
    EBioMedicine (2020)

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  • Ultrafast dynamic contrast-enhanced breast MRI may generate prognostic imaging markers of breast cancer
    Journal Article

    Onishi, N.; Sadinski, M.; Hughes, M. C.; Ko, E. S.; Gibbs, P.; Gallagher, K. M.; Fung, M. M.; Hunt, T. J.; Martinez, D. F.; Shukla-Dave, A.; more...
    Breast Cancer Research (2020)

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