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AJR. American Journal of Roentgenology|May 6, 2026
Artificial Intelligence Sees the Image, Radiologists See the PatientYee Seng Ng, Antonio C WestphalenAbdominal Radiology (New York)|June 28, 2019
Lost in translation: lessons learned from the "demise" of MRSI of the prostateAntonio C WestphalenAJR. American Journal of Roentgenology|December 28, 2013
Prostate imaging reporting and data system (PI-RADS): reflections on early experience with a standardized interpretation scheme for multiparametric prostate MRIAntonio C Westphalen, Andrew B RosenkrantzTranslational Andrology and Urology|July 21, 2017
Multiparametric magnetic resonance imaging of the prostate-a basic tutorialMiguel C Cabarrus, Antonio C WestphalenRadiologic Clinics of North America|November 6, 2012
Imaging prostate cancerAdam J Jung, Antonio C WestphalenRadiographics : a Review Publication of the Radiological Society of North America, Inc|April 18, 2024
Understanding and Mitigating Bias in Imaging Artificial IntelligenceAli S Tejani, Yee Seng Ng, Yin Xi, et al.Journal of Cellular Biochemistry|January 4, 2012
Chemical transfection of dye-conjugated microRNA precursors for microRNA functional analysis of M2 macrophagesYee Seng Ng, Hernan Roca, David Fuller, et al.Radiologic Clinics of North America|February 9, 2018
Multiparametric MR imaging of the Prostate: Interpretation Including Prostate Imaging Reporting and Data System Version 2Alessandro Furlan, Amir A Borhani, Antonio C WestphalenThe Urologic Clinics of North America|July 23, 2018
Multiparametric MR imaging of the Prostate: Interpretation Including Prostate Imaging Reporting and Data System Version 2Alessandro Furlan, Amir A Borhani, Antonio C WestphalenCurrent Oncology Reports|February 7, 2023
The Evidence for Using Artificial Intelligence to Enhance Prostate Cancer MR ImagingRodrigo Canellas, Marc D Kohli, Antonio C WestphalenPageof 14