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Random walk based segmentation for the prostate on 3D transrectal ultrasound images.

, , , , , , , , , and . Medical Imaging: Image-Guided Procedures, volume 9786 of SPIE Proceedings, page 978607. SPIE, (2016)

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MRI-TRUS Image Synthesis with Application to Image-Guided Prostate Intervention., , , , , and . SASHIMI@MICCAI, volume 9968 of Lecture Notes in Computer Science, page 157-166. (2016)Quantitative growth measurement of lesions in hepatic interval CT exams., , , , , and . Medical Imaging: Image Processing, volume 6914 of SPIE Proceedings, page 69141G. SPIE, (2008)Random walk based segmentation for the prostate on 3D transrectal ultrasound images., , , , , , , , , and . Medical Imaging: Image-Guided Procedures, volume 9786 of SPIE Proceedings, page 978607. SPIE, (2016)Learning Non-rigid Deformations for Robust, Constrained Point-based Registration in Image-Guided MR-TRUS Prostate Intervention., , , , , , and . Medical Image Anal., (2017)Learning nonrigid deformations for constrained point-based registration for image-guided MR-TRUS prostate intervention., , , , and . ISBI, page 1592-1595. IEEE, (2015)An image registration based ultrasound probe calibration., , , and . Medical Imaging: Image Processing, volume 8314 of SPIE Proceedings, page 831423. SPIE, (2012)Generalizable Multi-Site Training and Testing Of Deep Neural Networks Using Image Normalization., , , , , , , , , and . ISBI, page 348-351. IEEE, (2019)Combining population and patient-specific characteristics for prostate segmentation on 3D CT images., , , , , , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 978427. SPIE, (2016)