Papp, L., Spielvogel, C. P., Grubmüller, B., Grahovac, M., Krajnc, D., Ecsedi, B., . . . Kramer, G. (2021). Supervised machine learning enables non-invasive lesion characterization in primary prostate cancer with [68Ga]Ga-PSMA-11 PET/MRI. European Journal of Nuclear Medicine & Molecular Imaging, 48(6), 1795-1806.
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Cita Chicago Style (17a ed.)
Papp, L., et al. "Supervised Machine Learning Enables Non-invasive Lesion Characterization in Primary Prostate Cancer with [68Ga]Ga-PSMA-11 PET/MRI."
European Journal of Nuclear Medicine & Molecular Imaging 48, no. 6 (2021): 1795-1806.
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Cita MLA (9a ed.)
Papp, L., et al. "Supervised Machine Learning Enables Non-invasive Lesion Characterization in Primary Prostate Cancer with [68Ga]Ga-PSMA-11 PET/MRI."
European Journal of Nuclear Medicine & Molecular Imaging, vol. 48, no. 6, 2021, pp. 1795-1806.
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