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Peter Gibbs

Formats
  1. Journal Article (28)
  2. Meeting Abstract (2)
  3. Review (2)
  4. Book Section (1)
Groups
  1. Radiochemistry and Imaging Sciences Service (33)
  2. Radiology, Department of (33)
  3. Sloan Kettering Institute Postdocs (23)
  4. Body Imaging Service (21)
  5. Molecular Imaging and Therapy Service (12)
  6. Medical Physics (11)

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People
  1. Katja Pinker-Domenig (13)
  2. Elizabeth Morris (10)
  3. Danny Martinez (8)
  4. Roberto Lo Gullo (8)
  5. Marius Mayerhoefer (7)
  6. Maxine Jochelson (7)

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Years
  1. 2025 (1)
  2. 2023 (3)
  3. 2022 (10)
  4. 2021 (8)
  5. 2020 (8)
  6. 2019 (3)
Publications
  1. Cancers (7)
  2. European Radiology (5)
  3. European Journal of Nuclear Medicine and Molecular Imaging (2)
  4. Journal of Nuclear Medicine (2)
  5. Acta Radiologica (1)
  6. Annals of Thoracic Surgery (1)

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Publishers
  1. Springer (9)
  2. MDPI (8)
  3. Elsevier Inc. (5)
  4. Society of Nuclear Medicine (2)
  5. Biomed Central Ltd (1)
  6. Elsevier B.V (1)

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Results (33)


Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • Can MRI radiomics distinguish residual adenocarcinoma from acellular mucin in treated rectal cancer?
    Journal Article

    Corines, M. J.; Ibrahim, A.; Baheti, A.; Gibbs, P.; Sheedy, S. P.; Lee, S.; Nougaret, S.; Ernst, R.; Moreno, C. C.; Korngold, E.; more...
    European Journal of Radiology (2025)

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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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  • Conventional and radiomic features to predict pathology in the preoperative assessment of anterior mediastinal masses
    Journal Article

    Mayoral, M.; Pagano, A. M.; Araujo-Filho, J. A. B.; Zheng, J.; Perez-Johnston, R.; Tan, K. S.; Gibbs, P.; Shepherd, A. F.; Rimner, A.; Simone, C. B. 2nd; more...
    Lung Cancer (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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  • A simultaneous multiparametric (18)F-FDG PET/MRI radiomics model for the diagnosis of triple negative breast cancer
    Journal Article

    Romeo, V.; Kapetas, P.; Clauser, P.; Baltzer, P. A. T.; Rasul, S.; Gibbs, P.; Hacker, M.; Woitek, R.; Pinker, K.; Helbich, T. H.
    Cancers (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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  • CT-based radiogenomic analysis of clinical stage I lung adenocarcinoma with histopathologic features and oncologic outcomes
    Journal Article

    Perez-Johnston, R.; Araujo-Filho, J. A.; Connolly, J. G.; Caso, R.; Whiting, K.; Tan, K. S.; Zhou, J.; Gibbs, P.; Rekhtman, N.; Ginsberg, M. S.; more...
    Radiology (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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  • Multiparametric (18)F-FDG PET/MRI-based radiomics for prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer
    Journal Article

    Umutlu, L.; Kirchner, J.; Bruckmann, N. M.; Morawitz, J.; Antoch, G.; Ting, S.; Bittner, A. K.; Hoffmann, O.; Häberle, L.; Ruckhäberle, E.; more...
    Cancers (2022)

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