Hasil Pencarian - Roberto Lo Gullo

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  1. 1
    Combining molecular and imaging metrics in cancer: radiogenomics

    Combining molecular and imaging metrics in cancer: radiogenomics oleh Roberto Lo Gullo, Isaac Daimiel, Elizabeth A. Morris, Katja Pinker

    Diterbitkan 2020-01-01
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  2. 2
    Fibromatosis of the breast mimicking cancer: A case report

    Fibromatosis of the breast mimicking cancer: A case report oleh Maria Carmela Grimaldi, Chiara Trentin, Roberto Lo Gullo, Enrico Cassano

    Diterbitkan 2018-02-01
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  3. 3
    Machine learning with multiparametric magnetic resonance imaging of the breast for early prediction of response to neoadjuvant chemotherapy

    Machine learning with multiparametric magnetic resonance imaging of the breast for early prediction of response to neoadjuvant chemotherapy oleh Roberto Lo Gullo, Sarah Eskreis-Winkler, Elizabeth A. Morris, Katja Pinker

    Diterbitkan 2020-02-01
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  4. 4
    MRI background parenchymal enhancement, fibroglandular tissue, and mammographic breast density in patients with invasive lobular breast cancer on adjuvant endocrine hormonal treatment: associations with survival

    MRI background parenchymal enhancement, fibroglandular tissue, and mammographic breast density in patients with invasive lobular breast cancer on adjuvant endocrine hormonal treatm... oleh Roberto Lo Gullo, Isaac Daimiel, Carolina Rossi Saccarelli, Almir Bitencourt, Varadan Sevilimedu, Danny F. Martinez, Maxine S. Jochelson, Elizabeth A. Morris, Jeffrey S. Reiner, Katja Pinker

    Diterbitkan 2020-08-01
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  5. 5
    Differentiation Between Benign and Metastatic Breast Lymph Nodes Using Apparent Diffusion Coefficients

    Differentiation Between Benign and Metastatic Breast Lymph Nodes Using Apparent Diffusion Coefficients oleh Reza Fardanesh, Sunitha B. Thakur, Sunitha B. Thakur, Varadan Sevilimedu, Joao V. Horvat, Roberto Lo Gullo, Jeffrey S. Reiner, Sarah Eskreis-Winkler, Nikita Thakur, Nikita Thakur, Katja Pinker

    Diterbitkan 2022-02-01
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  6. 6
    MRI-based machine learning radiomics can predict HER2 expression level and pathologic response after neoadjuvant therapy in HER2 overexpressing breast cancer

    MRI-based machine learning radiomics can predict HER2 expression level and pathologic response after neoadjuvant therapy in HER2 overexpressing breast cancer oleh Almir G.V. Bitencourt, Peter Gibbs, Carolina Rossi Saccarelli, Isaac Daimiel, Roberto Lo Gullo, Michael J. Fox, Sunitha Thakur, Katja Pinker, Elizabeth A. Morris, Monica Morrow, Maxine S. Jochelson

    Diterbitkan 2020-11-01
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  7. 7
    Radiomics and Machine Learning with Multiparametric Breast MRI for Improved Diagnostic Accuracy in Breast Cancer Diagnosis

    Radiomics and Machine Learning with Multiparametric Breast MRI for Improved Diagnostic Accuracy in Breast Cancer Diagnosis oleh Isaac Daimiel Naranjo, Peter Gibbs, Jeffrey S. Reiner, Roberto Lo Gullo, Caleb Sooknanan, Sunitha B. Thakur, Maxine S. Jochelson, Varadan Sevilimedu, Elizabeth A. Morris, Pascal A. T. Baltzer, Thomas H. Helbich, Katja Pinker

    Diterbitkan 2021-05-01
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