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Journal of Medical Imaging (Bellingham, Wash.)|June 21, 2017
Detection of prostate cancer in multiparametric MRI using random forest with instance weightingNathan Lay, Yohannes Tsehay, Matthew D Greer, et al.
International Journal of Computer Assisted Radiology and Surgery|March 29, 2017
Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detectionShekoofeh Azizi, Parvin Mousavi, Pingkun Yan, et al.
Expert Review of Clinical Pharmacology|June 30, 2021
Immunotherapy of High Risk Non-Muscle Invasive Bladder CancerMichael Ahdoot, Dan Theodorescu
Bioconjugate Chemistry|November 12, 2014
Cancer drug delivery: considerations in the rational design of nanosized bioconjugatesHisataka Kobayashi, Baris Turkbey, Rira Watanabe, et al.
Quantitative Imaging in Medicine and Surgery|July 5, 2022
Combining and analyzing novel multi-parametric magnetic resonance imaging metrics for predicting Gleason scoreRulon Mayer, Baris Turkbey, Peter Choyke, et al.
Quantitative Imaging in Medicine and Surgery|March 14, 2022
Development and testing quantitative metrics from multi-parametric magnetic resonance imaging that predict Gleason score for prostate tumorsRulon Mayer, Charles B Simone, Baris Turkbey, et al.
Journal of Magnetic Resonance Imaging : JMRI|March 27, 2025
Toward a Refined PI-RADS: The Feasibility and Limitations of More Informative Metrics in Reviewing MRI ScansOmer Tarik Esengur, Hunter Stecko, Emma Stevenson, et al.
European Journal of Radiology|November 11, 2008
New horizons in prostate cancer imagingGregory Ravizzini, Baris Turkbey, Karen Kurdziel, et al.
Quantitative Imaging in Medicine and Surgery|January 4, 2021
Algorithms applied to spatially registered multi-parametric MRI for prostate tumor volume measurementRulon Mayer, Charles B Simone, Baris Turkbey, et al.
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