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Yan Mee Law

Showing results (31-40 of 58) with videos related to

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Academic Radiology|August 30, 2023
Evaluation of Compressed SENSE on Image Quality and Reduction of MRI Acquisition Time: A Clinical Validation StudyPohchoo Seow, Si Wei Kheok, Meng Ai Png, et al.
BJU International|May 22, 2020
Multiparametric MRI-ultrasonography software fusion prostate biopsy: initial results using a stereotactic robotic-assisted transperineal prostate biopsy platform comparing systematic vs targeted biopsyAlvin Y M Lee, Xin Yan Yang, Han Jie Lee, et al.
Academic Radiology|April 26, 2024
Automated Detection and Grading of Extraprostatic Extension of Prostate Cancer at MRI via Cascaded Deep Learning and Random Forest ClassificationBenjamin D Simon, Katie M Merriman, Stephanie A Harmon, et al.
AJR. American Journal of Roentgenology|March 28, 2019
Interreader Variability of Prostate Imaging Reporting and Data System Version 2 in Detecting and Assessing Prostate Cancer Lesions at Prostate MRIMatthew D Greer, Joanna H Shih, Nathan Lay, et al.
BJU International|February 4, 2021
Defining prostate cancer size and treatment margin for focal therapy: does intralesional heterogeneity impact the performance of multiparametric MRI?Edwin Jonathan Aslim, Yu Xi Terence Law, Stephanie Man Chung Fook-Chong, et al.
AJR. American Journal of Roentgenology|July 5, 2023
Comparison of MRI-Based Staging and Pathologic Staging for Predicting Biochemical Recurrence of Prostate Cancer After Radical ProstatectomyKatie M Merriman, Stephanie A Harmon, Mason J Belue, et al.
European Radiology|July 21, 2025
Artificial intelligence-generated apparent diffusion coefficient (AI-ADC) maps for prostate gland assessment: a multi-reader studyKutsev Bengisu Ozyoruk, Stephanie A Harmon, Enis C Yilmaz, et al.
Asian Journal of Urology|July 13, 2019
Multiparametric MRI reporting using Prostate Imaging Reporting and Data System version 2.0 (PI-RADSv2) retains clinical efficacy in a predominantly post-biopsy patient populationEdwin Jonathan Aslim, Yan Mee Law, Puay Hoon Tan, et al.
Diagnostic and Interventional Radiology (Ankara, Turkey)|January 11, 2018
Multiparametric MRI for the detection of local recurrence of prostate cancer in the setting of biochemical recurrence after low dose rate brachytherapyLuca F Valle, Matthew D Greer, Joanna H Shih, et al.
Radiology|July 21, 2017
Validation of the Dominant Sequence Paradigm and Role of Dynamic Contrast-enhanced Imaging in PI-RADS Version 2Matthew D Greer, Joanna H Shih, Nathan Lay, et al.
Pageof 6

Showing results (31-40 of 58) with videos related to

Sort By:
Pageof 6
Academic Radiology|August 30, 2023
Evaluation of Compressed SENSE on Image Quality and Reduction of MRI Acquisition Time: A Clinical Validation StudyPohchoo Seow, Si Wei Kheok, Meng Ai Png, et al.
BJU International|May 22, 2020
Multiparametric MRI-ultrasonography software fusion prostate biopsy: initial results using a stereotactic robotic-assisted transperineal prostate biopsy platform comparing systematic vs targeted biopsyAlvin Y M Lee, Xin Yan Yang, Han Jie Lee, et al.
Academic Radiology|April 26, 2024
Automated Detection and Grading of Extraprostatic Extension of Prostate Cancer at MRI via Cascaded Deep Learning and Random Forest ClassificationBenjamin D Simon, Katie M Merriman, Stephanie A Harmon, et al.
AJR. American Journal of Roentgenology|March 28, 2019
Interreader Variability of Prostate Imaging Reporting and Data System Version 2 in Detecting and Assessing Prostate Cancer Lesions at Prostate MRIMatthew D Greer, Joanna H Shih, Nathan Lay, et al.
BJU International|February 4, 2021
Defining prostate cancer size and treatment margin for focal therapy: does intralesional heterogeneity impact the performance of multiparametric MRI?Edwin Jonathan Aslim, Yu Xi Terence Law, Stephanie Man Chung Fook-Chong, et al.
AJR. American Journal of Roentgenology|July 5, 2023
Comparison of MRI-Based Staging and Pathologic Staging for Predicting Biochemical Recurrence of Prostate Cancer After Radical ProstatectomyKatie M Merriman, Stephanie A Harmon, Mason J Belue, et al.
European Radiology|July 21, 2025
Artificial intelligence-generated apparent diffusion coefficient (AI-ADC) maps for prostate gland assessment: a multi-reader studyKutsev Bengisu Ozyoruk, Stephanie A Harmon, Enis C Yilmaz, et al.
Asian Journal of Urology|July 13, 2019
Multiparametric MRI reporting using Prostate Imaging Reporting and Data System version 2.0 (PI-RADSv2) retains clinical efficacy in a predominantly post-biopsy patient populationEdwin Jonathan Aslim, Yan Mee Law, Puay Hoon Tan, et al.
Diagnostic and Interventional Radiology (Ankara, Turkey)|January 11, 2018
Multiparametric MRI for the detection of local recurrence of prostate cancer in the setting of biochemical recurrence after low dose rate brachytherapyLuca F Valle, Matthew D Greer, Joanna H Shih, et al.
Radiology|July 21, 2017
Validation of the Dominant Sequence Paradigm and Role of Dynamic Contrast-enhanced Imaging in PI-RADS Version 2Matthew D Greer, Joanna H Shih, Nathan Lay, et al.
Pageof 6