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Stochastic Modeling of Temporal Ultrasound Data for Prostate Cancer Diagnostics.. Queen's University at Kingston, Ontario, Canada, (2017)Incorporation of DNA methylation into eQTL mapping in African Americans., , , , , , and . PSB, WorldScientific, (2021)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)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)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. Eng., 65 (8): 1798-1809 (2018)