Neriman Gokden on Muck Rack

Neriman Gokden

As seen in: MDPI, Academic Radiology
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Articles

External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection

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By Mason J. Belue, Neriman Gokden, Jackson Massey, Emily Biben, Suryakala Buddha, Sumit Shah, Stephanie Harmon, Baris Turkbey, Ahmet Murat Aydin, Vaneeza Mukhtar, Roopa Ram, Joe Jose, Timothy Langford
| Academic Radiology
Abbreviations AI (artificial intelligence) PCa (prostate cancer) csPCa (clinically significant prostate cancer) PI-RADS (Prostate imaging reporting and data systems) PSA (prostate-specific antigen) PSAD (PSA density) MRI (magnetic resonance imaging) PPV (positive predictive value) NPV (negative predictive value) Key Words Artificial intelligence Machine learning Magnetic resonance imaging Prostate cancer Prostate biopsy Get full text access Log in, subscribe or purchase for full access.
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Stem Cell Theory of Cancer: Clinical Implications for Cellular Metabolism and Anti-Cancer Metabolomics

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By Shi-Ming Tu, jim chen, Sanjay Maraboyina, Neriman Gokden
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Stem Cell Theory of Cancer: Clinical Implications of Epigenomic versus Genomic Biomarkers in Cancer Care

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By Shi-Ming Tu, Zhongning Chen, Ahmet Murat Aydin, Neriman Gokden
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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