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Computer-Aided Prostate Cancer Detection Using Ultrasound RF Time Series: In Vivo Feasibility Study., , , , , , , , , and 4 other author(s). IEEE Trans. Med. Imaging, 34 (11): 2248-2257 (2015)Heterogeneous Recurrence Analysis of Disease-Altered Spatiotemporal Patterns in Multi-Channel Cardiac Signals., , and . IEEE J. Biomed. Health Informatics, 24 (6): 1619-1631 (2020)Ultrasound-Guided Characterization of Interstitial Ablated Tissue Using RF Time Series: Feasibility Study., , , , , , , , , and 1 other author(s). IEEE Trans. Biomed. Eng., 60 (6): 1608-1618 (2013)Robust In-Memory Computing with Hyperdimensional Stochastic Representation., , , , , , and . NANOARCH, page 1-6. IEEE, (2021)Using reinforcement learning for tuning genetic algorithms., , , and . GECCO Companion, page 1503-1507. ACM, (2021)Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study., , , , , , , , , and 2 other author(s). Int. J. Comput. Assist. Radiol. Surg., 11 (6): 947-956 (2016)Random Forest Modeling for Survival Analysis of Cancer Recurrences., , , and . CASE, page 399-404. IEEE, (2019)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)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)Asimulation analysis of the vehicle axle and spring assembly lines., , and . WSC, page 2249-2259. IEEE/ACM, (2015)