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Fusion of MRI to 3D TRUS for Mechanically-Assisted Targeted Prostate Biopsy: System Design and Initial Clinical Experience.

, , , , , , , , and . Prostate Cancer Imaging, volume 6963 of Lecture Notes in Computer Science, page 121-133. Springer, (2011)

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3D ultrasound imaging in image-guided intervention., , , , , and . EMBC, page 6151-6154. IEEE, (2014)Ultrasound-Based Characterization of Prostate Cancer Using Joint Independent Component Analysis., , , , , , , , , and 6 other author(s). IEEE Trans. Biomed. Eng., 62 (7): 1796-1804 (2015)Evaluating the utility of 3D TRUS image information in guiding intra-procedure registration for motion compensation., , , , and . Medical Imaging: Image-Guided Procedures, volume 9036 of SPIE Proceedings, page 90361B. SPIE, (2014)Interactive 3D segmentation of the prostate in magnetic resonance images using shape and local appearance similarity analysis., , , , and . Medical Imaging: Image-Guided Procedures, volume 8671 of SPIE Proceedings, page 86710N. SPIE, (2013)Accuracy and variability of tumor burden measurement on multi-parametric MRI., , , , , , , , , and 3 other author(s). Medical Imaging: Digital Pathology, volume 9041 of SPIE Proceedings, page 90410I. SPIE, (2014)Fusion of multi-parametric MRI and temporal ultrasound for characterization of prostate cancer: in vivo feasibility study., , , , , , , , , and 9 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97851K. SPIE, (2016)Robust 2-D-3-D Registration Optimization for Motion Compensation During 3-D TRUS-Guided Biopsy Using Learned Prostate Motion Data., , , , , , and . IEEE Trans. Medical Imaging, 36 (10): 2010-2020 (2017)Optimizing MRI-targeted fusion prostate biopsy: the effect of systematic error and anisotropy on tumor sampling., , , , and . Medical Imaging: Image-Guided Procedures, volume 9415 of SPIE Proceedings, page 94151J. SPIE, (2015)Ultrasound-Based Characterization of Prostate Cancer: An in vivo Clinical Feasibility Study., , , , , , , , , and 4 other author(s). MICCAI (2), volume 8150 of Lecture Notes in Computer Science, page 279-286. Springer, (2013)Computer-Aided Prostate Cancer Detection Using Ultrasound RF Time Series: In Vivo Feasibility Study., , , , , , , , , and 4 other author(s). IEEE Trans. Medical Imaging, 34 (11): 2248-2257 (2015)