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Prostate Cancer: Improved Tissue Characterization by Temporal Modeling of Radio-Frequency Ultrasound Echo Data.

, , , , , , , , , , and . MICCAI (1), volume 9900 of Lecture Notes in Computer Science, page 644-652. (2016)

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Asimulation analysis of the vehicle axle and spring assembly lines., , and . Winter Simulation Conference, page 2249-2259. IEEE/ACM, (2015)Monitoring of Tissue Ablation Using Time Series of Ultrasound RF Data., , , , , , , and . MICCAI (1), volume 6891 of Lecture Notes in Computer Science, page 379-386. Springer, (2011)Prostate Cancer: Improved Tissue Characterization by Temporal Modeling of Radio-Frequency Ultrasound Echo Data., , , , , , , , , and 1 other author(s). MICCAI (1), volume 9900 of Lecture Notes in Computer Science, page 644-652. (2016)Stochastic Modeling of Temporal Enhanced Ultrasound: Impact of Temporal Properties on Prostate Cancer Characterization., , , , , , , , , and 2 other author(s). IEEE Trans. Biomed. Engineering, 65 (8): 1798-1809 (2018)Using Hidden Markov Models to capture temporal aspects of ultrasound data in prostate cancer., , , , , , , , , and 1 other author(s). BIBM, page 446-449. IEEE Computer Society, (2015)Ultrasound-Based Characterization of Prostate Cancer Using Joint Independent Component Analysis., , , , , , , , , and 6 other author(s). IEEE Trans. Biomed. Engineering, 62 (7): 1796-1804 (2015)Models of temporal enhanced ultrasound data for prostate cancer diagnosis: the impact of time-series order., , , , , , , , , and 2 other author(s). Medical Imaging: Image-Guided Procedures, volume 10135 of SPIE Proceedings, page 101351D. SPIE, (2017)Augmenting MRI-transrectal ultrasound-guided prostate biopsy with temporal ultrasound data: a clinical feasibility study., , , , , , , , , and 5 other author(s). Int. J. Comput. Assist. Radiol. Surg., 10 (6): 727-735 (2015)Tissue Classification Using Ultrasound-Induced Variations in Acoustic Backscattering Features., , , , and . IEEE Trans. Biomed. Engineering, 60 (2): 310-320 (2013)Ultrasound-Guided Characterization of Interstitial Ablated Tissue Using RF Time Series: Feasibility Study., , , , , , , , , and 1 other author(s). IEEE Trans. Biomed. Engineering, 60 (6): 1608-1618 (2013)