Found: 13
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Automated artificial intelligence-based analysis of skeletal muscle volume predicts overall survival after cystectomy for urinary bladder cancer.
- Published in:
- European Radiology Experimental, 2021, v. 5, n. 1, p. 1, doi. 10.1186/s41747-021-00248-8
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- Article
Artificial intelligence-aided CT segmentation for body composition analysis: a validation study.
- Published in:
- European Radiology Experimental, 2021, v. 5, n. 1, p. 1, doi. 10.1186/s41747-021-00210-8
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- Publication type:
- Article
Freely available convolutional neural network-based quantification of PET/CT lesions is associated with survival in patients with lung cancer.
- Published in:
- EJNMMI Physics, 2022, v. 9, n. 1, p. 1, doi. 10.1186/s40658-022-00437-3
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- Publication type:
- Article
AI-based detection of lung lesions in [18F]FDG PET-CT from lung cancer patients.
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- EJNMMI Physics, 2021, v. 8, n. 1, p. 1, doi. 10.1186/s40658-021-00376-5
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- Publication type:
- Article
RECOMIA—a cloud-based platform for artificial intelligence research in nuclear medicine and radiology.
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- EJNMMI Physics, 2020, v. 7, n. 1, p. 1, doi. 10.1186/s40658-020-00316-9
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- Publication type:
- Article
Correction to: 3D skeletal uptake of <sup>18</sup>F sodium fluoride in PET/CT images is associated with overall survival in patients with prostate cancer.
- Published in:
- 2019
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- Publication type:
- Correction Notice
3D skeletal uptake of F sodium fluoride in PET/CT images is associated with overall survival in patients with prostate cancer.
- Published in:
- EJNMMI Research, 2017, v. 7, n. 1, p. 1, doi. 10.1186/s13550-017-0264-5
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- Publication type:
- Article
A Preanalytic Validation Study of Automated Bone Scan Index: Effect on Accuracy and Reproducibility Due to the Procedural Variabilities in Bone Scan Image Acquisition.
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- Journal of Nuclear Medicine, 2016, v. 57, n. 12, p. 1865, doi. 10.2967/jnumed.116.177030
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- Publication type:
- Article
Analytic Validation of the Automated Bone Scan Index as an Imaging Biomarker to Standardize Quantitative Changes in Bone Scans of Patients with Metastatic Prostate Cancer.
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- Journal of Nuclear Medicine, 2016, v. 57, n. 1, p. 41, doi. 10.2967/jnumed.115.160085
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- Publication type:
- Article
A prospective study to evaluate the intra-individual reproducibility of bone scans for quantitative assessment in patients with metastatic prostate cancer.
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- BMC Medical Imaging, 2018, v. 18, n. 1, p. N.PAG, doi. 10.1186/s12880-018-0257-5
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- Publication type:
- Article
Automated classification of PET‐CT lesions in lung cancer: An independent validation study.
- Published in:
- Clinical Physiology & Functional Imaging, 2022, v. 42, n. 5, p. 327, doi. 10.1111/cpf.12773
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- Publication type:
- Article
Deep learning‐based quantification of PET/CT prostate gland uptake: association with overall survival.
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- Clinical Physiology & Functional Imaging, 2020, v. 40, n. 2, p. 106, doi. 10.1111/cpf.12611
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- Publication type:
- Article
Evaluation of changes in Bone Scan Index at different acquisition time‐points in bone scintigraphy.
- Published in:
- Clinical Physiology & Functional Imaging, 2018, v. 38, n. 6, p. 1015, doi. 10.1111/cpf.12518
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- Publication type:
- Article