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Radiomics in Lung Diseases Imaging: State-of-the-Art for Clinicians.
- Published in:
- Journal of Personalized Medicine, 2021, v. 11, n. 7, p. 602, doi. 10.3390/jpm11070602
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- Publication type:
- Article
Deep learning based identification of bone scintigraphies containing metastatic bone disease foci.
- Published in:
- Cancer Imaging, 2023, v. 23, n. 1, p. 1, doi. 10.1186/s40644-023-00524-3
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- Publication type:
- Article
External validation of a radiomic signature to predict p16 (HPV) status from standard CT images of anal cancer patients.
- Published in:
- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-34162-3
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- Publication type:
- Article
Response to the letter to the editor on the article: a non-invasive, automated diagnosis of Menière's disease using radiomics and machine learning on conventional magnetic resonance imaging—a multicentric, case-controlled feasibility study.
- Published in:
- 2022
- By:
- Publication type:
- Letter
A non-invasive, automated diagnosis of Menière's disease using radiomics and machine learning on conventional magnetic resonance imaging: A multicentric, case-controlled feasibility study.
- Published in:
- La Radiologia Medica, 2022, v. 127, n. 1, p. 72, doi. 10.1007/s11547-021-01425-w
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- Publication type:
- Article
A review in radiomics: Making personalized medicine a reality via routine imaging.
- Published in:
- Medicinal Research Reviews, 2022, v. 42, n. 1, p. 426, doi. 10.1002/med.21846
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- Publication type:
- Article
The "hype" of hydrops in classifying vestibular disorders: a narrative review.
- Published in:
- Journal of Neurology, 2020, v. 267, p. 197, doi. 10.1007/s00415-020-10278-8
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- Publication type:
- Article
Deep learning for the fully automated segmentation of the inner ear on MRI.
- Published in:
- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-82289-y
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- Publication type:
- Article
Development and Validation of an Automated Radiomic CT Signature for Detecting COVID-19.
- Published in:
- Diagnostics (2075-4418), 2021, v. 11, n. 1, p. 41, doi. 10.3390/diagnostics11010041
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- Publication type:
- Article
Machine Learning to Identify Patients at Risk of Developing New-Onset Atrial Fibrillation after Coronary Artery Bypass.
- Published in:
- Journal of Cardiovascular Development & Disease (JCDD), 2023, v. 10, n. 2, p. 82, doi. 10.3390/jcdd10020082
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- Publication type:
- Article