Evaluating the feasibility of AI-predicted bpMRI image features for predicting prostate cancer aggressiveness: a multi-center study by Kexin Wang, Ning Luo, Zhaonan Sun, Xiangpeng Zhao, Lilan She, Zhangli Xing, Yuntian Chen, Chunlei He, Pengsheng Wu, Xiangpeng Wang, ZiXuan Kong

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Radiomics based Machine Learning Models for Classification of Prostate Cancer Grade Groups from Multi Parametric MRI Images by Fatemeh Zandie, Mohammad Salehi, Asghar Maziar, Mohammad Reza Bayatiani, Reza Paydar

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Multiparametric MRI and artificial intelligence in predicting and monitoring treatment response in bladder cancer by Yuki Arita, Thomas C. Kwee, Oguz Akin, Keisuke Shigeta, Ramesh Paudyal, Christian Roest, Ryo Ueda, Alfonso Lema-Dopico, Sunny Nalavenkata, Lisa Ruby, Noam Nissan, Hiromi Edo, Soichiro Yoshida, Amita Shukla-Dave, Lawrence H. Schwartz

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Assessment of renal insufficiency in patients with renal artery stenosis by multiparametric magnetic resonance imaging by Long Zhao, Feng-Bo Xu, Jia-Yi Liu, Shuang Li, Nan Zhang, Zhong-Hua Sun, Guo-Qin Wang, Lei Xu

Subjects: “…Multiparametric magnetic resonance imaging…”
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Advanced Restriction Imaging and Reconstruction Technology for Prostate Magnetic Resonance Imaging (ART-Pro): A Study Protocol for a Multicenter, Multinational Trial Evaluating Bip... by Madison T. Baxter, Christopher C. Conlin, Aditya Bagrodia, Tristan Barrett, Hauke Bartsch, Anja Brau, Matthew Cooperberg, Anders M. Dale, Arnaud Guidon, Michael E. Hahn, Mukesh G. Harisinghani, Juan F. Javier-DesLoges, Sophia C. Kamran, Christopher J. Kane, Joshua M. Kuperman, Daniel J.A. Margolis, Paul M. Murphy, Nabih Nakrour, Michael A. Ohliger, Rebecca Rakow-Penner, Ahmed Shabaik, Jeffry P. Simko, Clare M. Tempany, Natasha Wehrli, Sean A. Woolen, Jingjing Zou, Tyler M. Seibert

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