Found: 19
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Low dose positron emission tomography emulation from decimated high statistics: A clinical validation study.
- Published in:
- Medical Physics, 2019, v. 46, n. 6, p. 2638, doi. 10.1002/mp.13517
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- Article
Convolutional neural networks for improving image quality with noisy PET data.
- Published in:
- EJNMMI Research, 2020, v. 10, n. 1, p. N.PAG, doi. 10.1186/s13550-020-00695-1
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- Publication type:
- Article
Quantitative <sup>68</sup>Ga-DOTATATE PET/CT parameters for the prediction of therapy response in patients with progressive metastatic neuroendocrine tumors treated with <sup>177</sup>LuDOTATATE .
- Published in:
- Journal of Nuclear Medicine, 2021, v. 62, n. 12, p. 1, doi. 10.2967/jnumed.120.256727
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- Publication type:
- Article
Quantitative <sup>68</sup>Ga-DOTATATE PET/CT parameters for the prediction of therapy response in patients with progressive metastatic neuroendocrine tumors treated with <sup>177</sup>LuDOTATATE.
- Published in:
- Journal of Nuclear Medicine, 2021, v. 62, n. 11, p. 1, doi. 10.2967/jnumed.120.256727
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- Publication type:
- Article
Quantitative <sup>68</sup>Ga-DOTATATE PET/CT parameters for the prediction of therapy response in patients with progressive metastatic neuroendocrine tumors treated with <sup>177</sup>LuDOTATATE.
- Published in:
- Journal of Nuclear Medicine, 2021, v. 62, n. 10, p. 1, doi. 10.2967/jnumed.120.256727
- By:
- Publication type:
- Article
Quantitative <sup>68</sup>Ga-DOTATATE PET/CT parameters for the prediction of therapy response in patients with progressive metastatic neuroendocrine tumors treated with <sup>177</sup>Lu-DOTATATE.
- Published in:
- Journal of Nuclear Medicine, 2021, v. 62, n. 8, p. 1, doi. 10.2967/jnumed.120.256727
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- Publication type:
- Article
Quantitative <sup>68</sup>Ga-DOTATATE PET/CT parameters for the prediction of therapy response in patients with progressive metastatic neuroendocrine tumors treated with <sup>177</sup>Lu-DOTATATE.
- Published in:
- Journal of Nuclear Medicine, 2021, v. 62, n. 7, p. 1, doi. 10.2967/jnumed.120.256727
- By:
- Publication type:
- Article
Quantitative <sup>68</sup>Ga-DOTATATE PET/CT parameters for the prediction of therapy response in patients with progressive metastatic neuroendocrine tumors treated with <sup>177</sup>Lu-DOTATATE.
- Published in:
- Journal of Nuclear Medicine, 2021, v. 62, n. 6, p. 23, doi. 10.2967/jnumed.120.256727
- By:
- Publication type:
- Article
Quantitative <sup>68</sup>Ga-DOTATATE PET/CT parameters for the prediction of therapy response in patients with progressive metastatic neuroendocrine tumors treated with <sup>177</sup>Lu-DOTATATE.
- Published in:
- Journal of Nuclear Medicine, 2021, v. 62, n. 5, p. 1, doi. 10.2967/jnumed.120.256727
- By:
- Publication type:
- Article
Quantitative <sup>68</sup>Ga-DOTATATE PET/CT parameters for the prediction of therapy response in patients with progressive metastatic neuroendocrine tumors treated with <sup>177</sup>Lu-DOTATATE.
- Published in:
- Journal of Nuclear Medicine, 2021, v. 62, n. 3, p. 1, doi. 10.2967/jnumed.120.256727
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- Publication type:
- Article
<sup>18</sup>F-DCFPyL PET/CT in Patients with Subclinical Recurrence of Prostate Cancer: Effect of Lesion Size, Smooth Filter and Partial Volume Correction on Prostate Cancer Molecular Imaging Standardized Evaluation (PROMISE) criteria.
- Published in:
- Journal of Nuclear Medicine, 2020, v. 61, n. 12, p. 1, doi. 10.2967/jnumed.120.241737
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- Publication type:
- Article
<sup>18</sup>F-DCFPyL PET/CT in Patients with Subclinical Recurrence of Prostate Cancer: Effect of Lesion Size, Smooth Filter and Partial Volume Correction on Prostate Cancer Molecular Imaging Standardized Evaluation (PROMISE) criteria.
- Published in:
- Journal of Nuclear Medicine, 2020, v. 61, n. 11, p. 1, doi. 10.2967/jnumed.120.241737
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- Publication type:
- Article
<sup>18</sup>F-DCFPyL PET/CT in Patients with Subclinical Recurrence of Prostate Cancer: Effect of Lesion Size, Smooth Filter and Partial Volume Correction on Prostate Cancer Molecular Imaging Standardized Evaluation (PROMISE) criteria.
- Published in:
- Journal of Nuclear Medicine, 2020, v. 61, n. 10, p. 1, doi. 10.2967/jnumed.120.241737
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- Publication type:
- Article
<sup>18</sup>F-DCFPyL PET/CT in Patients with Subclinical Recurrence of Prostate Cancer: Effect of Lesion Size, Smooth Filter and Partial Volume Correction on Prostate Cancer Molecular Imaging Standardized Evaluation (PROMISE) criteria.
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- Journal of Nuclear Medicine, 2020, v. 61, n. 9, p. 1, doi. 10.2967/jnumed.120.241737
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- Publication type:
- Article
<sup>18</sup>F-DCFPyL PET/CT in Patients with Subclinical Recurrence of Prostate Cancer: Effect of Lesion Size, Smooth Filter and Partial Volume Correction on Prostate Cancer Molecular Imaging Standardized Evaluation (PROMISE) criteria.
- Published in:
- Journal of Nuclear Medicine, 2020, v. 61, n. 7, p. 1, doi. 10.2967/jnumed.120.241737
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- Publication type:
- Article
<sup>18</sup>F-DCFPyL PET/CT in Patients with Subclinical Recurrence of Prostate Cancer: Effect of Lesion Size, Smooth Filter and Partial Volume Correction on Prostate Cancer Molecular Imaging Standardized Evaluation (PROMISE) criteria.
- Published in:
- Journal of Nuclear Medicine, 2020, v. 61, n. 6, p. 1, doi. 10.2967/jnumed.120.241737
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- Publication type:
- Article
18F-DCFPyL PET/CT in Patients with Subclinical Recurrence of Prostate Cancer: Effect of Lesion Size, Smooth Filter and Partial Volume Correction on Prostate Cancer Molecular Imaging Standardized Evaluation (PROMISE) criteria.
- Published in:
- Journal of Nuclear Medicine, 2020, v. 61, n. 5, p. 1, doi. 10.2967/jnumed.120.241737
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- Publication type:
- Article
<sup>18</sup>F-DCFPyL PET/CT in Patients with Subclinical Recurrence of Prostate Cancer: Effect of Lesion Size, Smooth Filter and Partial Volume Correction on Prostate Cancer Molecular Imaging Standardized Evaluation (PROMISE) criteria.
- Published in:
- Journal of Nuclear Medicine, 2020, v. 61, n. 4, p. 1, doi. 10.2967/jnumed.120.241737
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- Article
Evaluation of Multimodal Algorithms for the Segmentation of Multiparametric MRI Prostate Images.
- Published in:
- Computational & Mathematical Methods in Medicine, 2020, p. 1, doi. 10.1155/2020/8861035
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- Publication type:
- Article