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Peter Gibbs

  1. "Molecular Imaging and Therapy Service"
Formats
  1. Journal Article (12)
Groups
  1. Molecular Imaging and Therapy Service (12)
  2. Radiochemistry and Imaging Sciences Service (12)
  3. Radiology, Department of (12)
  4. Sloan Kettering Institute Postdocs (9)
  5. Body Imaging Service (8)
  6. Medical Physics (7)

More Groups

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

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Years
  1. 2023 (1)
  2. 2022 (3)
  3. 2021 (4)
  4. 2020 (3)
  5. 2019 (1)
Publications
  1. Cancers (4)
  2. European Radiology (2)
  3. Breast Cancer Research and Treatment (1)
  4. Diagnostics (1)
  5. EBioMedicine (1)
  6. European Journal of Nuclear Medicine and Molecular Imaging (1)

More Publications

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

Results (12)

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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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  • 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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  • Can (18)F-FDG PET/CT radiomics features predict clinical outcomes in patients with locally advanced esophageal squamous cell carcinoma?
    Journal Article

    Jayaprakasam, V. S.; Gibbs, P.; Gangai, N.; Bajwa, R.; Sosa, R. E.; Yeh, R.; Greally, M.; Ku, G. Y.; Gollub, M. J.; Paroder, V.
    Cancers (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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  • Diagnostic value of radiomics and machine learning with dynamic contrast-enhanced magnetic resonance imaging for patients with atypical ductal hyperplasia in predicting malignant upgrade
    Journal Article

    Lo Gullo, R.; Vincenti, K.; Rossi Saccarelli, C.; Gibbs, P.; Fox, M. J.; Daimiel, I.; Martinez, D. F.; Jochelson, M. S.; Morris, E. A.; Reiner, J. S.; more...
    Breast Cancer Research and Treatment (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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  • Can follow-up be avoided for probably benign US masses with no enhancement on MRI?
    Journal Article

    Avendano, D.; Marino, M. A.; Onishi, N.; Leithner, D.; Martinez, D. F.; Gibbs, P.; Jochelson, M.; Pinker, K.; Morris, E. A.; Sutton, E. J.
    European Radiology (2021)

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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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