Showing results (81-90 of 106) with videos related to
Sort By:
Pageof 11
The Journal of Urology|June 21, 2016
Prostate Magnetic Resonance Imaging and Magnetic Resonance Imaging Targeted Biopsy in Patients with a Prior Negative Biopsy: A Consensus Statement by AUA and SARAndrew B Rosenkrantz, Sadhna Verma, Peter Choyke, et al.JAMA Surgery|April 30, 2025
Surgical Performance Metrics for 1-Year Patient-Reported Outcomes After Radical ProstatectomyJohn R Heard, Umar Ghaffar, Runzhuo Ma, et al.The Journal of Urology|April 21, 2021
Deep Learning Improves Speed and Accuracy of Prostate Gland Segmentations on Magnetic Resonance Imaging for Targeted BiopsySimon John Christoph Soerensen, Richard E Fan, Arun Seetharaman, et al.Urologic Oncology|April 21, 2020
Multicenter analysis of clinical and MRI characteristics associated with detecting clinically significant prostate cancer in PI-RADS (v2.0) category 3 lesionsBashir Al Hussein Al Awamlh, Leonard S Marks, Geoffrey A Sonn, et al.Therapeutic Advances in Urology|October 17, 2022
A review of artificial intelligence in prostate cancer detection on imagingIndrani Bhattacharya, Yash S Khandwala, Sulaiman Vesal, et al.Medical Physics|June 22, 2020
Registration of presurgical MRI and histopathology images from radical prostatectomy via RAPSODIMirabela Rusu, Wei Shao, Christian A Kunder, et al.Medical Image Analysis|February 7, 2021
3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstructionRewa R Sood, Wei Shao, Christian Kunder, et al.Medical Image Analysis|January 1, 2021
ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostateWei Shao, Linda Banh, Christian A Kunder, et al.Medical Image Analysis|November 16, 2021
Selective identification and localization of indolent and aggressive prostate cancers via CorrSigNIA: an MRI-pathology correlation and deep learning frameworkIndrani Bhattacharya, Arun Seetharaman, Christian Kunder, et al.European Urology Open Science|July 30, 2024
Inter-reader Agreement for Prostate Cancer Detection Using Micro-ultrasound: A Multi-institutional StudySteve R Zhou, Moon Hyung Choi, Sulaiman Vesal, et al.Pageof 11