Gadolinium Deposition and Nephrogenic Systemic Fibrosis: A Radiologist's Primer von Mathur, Mahan, Jones, Jason R., Weinreb, Jeffrey C.

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Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI von Hamm, Charlie A., Wang, Clinton J., Savic, Lynn J., Ferrante, Marc, Schobert, Isabel, Schlachter, Todd, Lin, MingDe, Duncan, James S., Weinreb, Jeffrey C., Chapiro, Julius, Letzen, Brian

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PI-RADS Steering Committee: The PI-RADS Multiparametric MRI and MRI-directed Biopsy Pathway von Padhani, Anwar R, Barentsz, Jelle, Villeirs, Geert, Rosenkrantz, Andrew B, Margolis, Daniel J, Turkbey, Baris, Thoeny, Harriet C, Cornud, François, Haider, Masoom A, Macura, Katarzyna J, Tempany, Clare M, Verma, Sadhna, Weinreb, Jeffrey C

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Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2 von Turkbey, Baris, Rosenkrantz, Andrew B., Haider, Masoom A., Padhani, Anwar R., Villeirs, Geert, Macura, Katarzyna J., Tempany, Clare M., Choyke, Peter L., Cornud, Francois, Margolis, Daniel J., Thoeny, Harriet C., Verma, Sadhna, Barentsz, Jelle, Weinreb, Jeffrey C.

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Organized Chaos: Does PI-RADS Version 2 Work in the Transition Zone? von Weinreb, Jeffrey C

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Use of Intravenous Iodinated Contrast Media in Patients with Kidney Disease: Consensus Statements from the American College of Radiology and the National Kidney Foundation von Davenport, Matthew S., Perazella, Mark A., Yee, Jerry, Dillman, Jonathan R., Fine, Derek, McDonald, Robert J., Rodby, Roger A., Wang, Carolyn L., Weinreb, Jeffrey C.

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Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging features von Wang, Clinton J., Hamm, Charlie A., Savic, Lynn J., Ferrante, Marc, Schobert, Isabel, Schlachter, Todd, Lin, MingDe, Weinreb, Jeffrey C., Duncan, James S., Chapiro, Julius, Letzen, Brian

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Abbreviated Biparametric Versus Standard Multiparametric MRI for Diagnosis of Prostate Cancer: A Systematic Review and Meta-Analysis von Kang, Zhen, Min, Xiangde, Weinreb, Jeffrey, Li, Qiubai, Feng, Zhaoyan, Wang, Liang

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Symptoms Associated with Gadolinium Exposure (SAGE): A Suggested Term von McDonald, Robert J, Weinreb, Jeffrey C, Davenport, Matthew S

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Use of Intravenous Gadolinium-based Contrast Media in Patients with Kidney Disease: Consensus Statements from the American College of Radiology and the National Kidney Foundation von Weinreb, Jeffrey C, Rodby, Roger A, Yee, Jerry, Wang, Carolyn L, Fine, Derek, McDonald, Robert J, Perazella, Mark A, Dillman, Jonathan R, Davenport, Matthew S

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Low-Cost Low-Field MRI Has Arrived: What Does It Mean for Radiology? von Weinreb, Jeffrey C.

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BI-RADS, C-RADS, CAD-RADS, LI-RADS, Lung-RADS, NI-RADS, O-RADS, PI-RADS, TI-RADS: Reporting and Data Systems von An, Julie Y, Unsdorfer, Kyle M L, Weinreb, Jeffrey C

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Synopsis of the PI-RADS v2 Guidelines for Multiparametric Prostate Magnetic Resonance Imaging and Recommendations for Use von Barentsz, Jelle O, Weinreb, Jeffrey C, Verma, Sadhna, Thoeny, Harriet C, Tempany, Clare M, Shtern, Faina, Padhani, Anwar R, Margolis, Daniel, Macura, Katarzyna J, Haider, Masoom A, Cornud, Francois, Choyke, Peter L

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Contrast Coverage: Focus on Patient Safety von Weinreb, Jeffrey C.

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25 Years of Contrast-Enhanced MRI: Developments, Current Challenges and Future Perspectives von Lohrke, Jessica, Frenzel, Thomas, Endrikat, Jan, Alves, Filipe Caseiro, Grist, Thomas M., Law, Meng, Lee, Jeong Min, Leiner, Tim, Li, Kun-Cheng, Nikolaou, Konstantin, Prince, Martin R., Schild, Hans H., Weinreb, Jeffrey C., Yoshikawa, Kohki, Pietsch, Hubertus

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Gadolinium Retention: A Research Roadmap from the 2018 NIH/ACR/RSNA Workshop on Gadolinium Chelates von McDonald, Robert J, Levine, Deborah, Weinreb, Jeffrey, Kanal, Emanuel, Davenport, Matthew S, Ellis, James H, Jacobs, Paula M, Lenkinski, Robert E, Maravilla, Kenneth R, Prince, Martin R, Rowley, Howard A, Tweedle, Michael F, Kressel, Herbert Y

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Searching for prostate cancer by fully automated magnetic resonance imaging classification: deep learning versus non-deep learning von Wang, Xinggang, Yang, Wei, Weinreb, Jeffrey, Han, Juan, Li, Qiubai, Kong, Xiangchuang, Yan, Yongluan, Ke, Zan, Luo, Bo, Liu, Tao, Wang, Liang

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Deep learning–assisted differentiation of pathologically proven atypical and typical hepatocellular carcinoma (HCC) versus non-HCC on contrast-enhanced MRI of the liver von Oestmann, Paula M., Wang, Clinton J., Savic, Lynn J., Hamm, Charlie A., Stark, Sophie, Schobert, Isabel, Gebauer, Bernhard, Schlachter, Todd, Lin, MingDe, Weinreb, Jeffrey C., Batra, Ramesh, Mulligan, David, Zhang, Xuchen, Duncan, James S., Chapiro, Julius

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PI-RADS Committee Position on MRI Without Contrast Medium in Biopsy-Naive Men With Suspected Prostate Cancer: Narrative Review von Schoots, Ivo G., Barentsz, Jelle O., Bittencourt, Leonardo K., Haider, Masoom A., Macura, Katarzyna J., Margolis, Daniel J. A., Moore, Caroline M., Oto, Aytekin, Panebianco, Valeria, Siddiqui, Mohummad M., Tempany, Clare, Turkbey, Baris, Villeirs, Geert M., Weinreb, Jeffrey C., Padhani, Anwar R.

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Perioperative Complications and Mortality After Spinal Fusions: Analysis of Trends and Risk Factors von Goz, Vadim, Weinreb, Jeffrey H, McCarthy, Ian, Schwab, Frank, Lafage, Virginie, Errico, Thomas J

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