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Hierarchical, Distributed and Brain-Inspired Learning for Internet of Things Systems., , , , , , и . ICDCS, стр. 511-522. IEEE, (2023)Classifying Cancer Grades Using Temporal Ultrasound for Transrectal Prostate Biopsy., , , , , , , , , и 3 other автор(ы). MICCAI (1), том 9900 из Lecture Notes in Computer Science, стр. 653-661. (2016)Ultrasound-Based Characterization of Prostate Cancer: An in vivo Clinical Feasibility Study., , , , , , , , , и 4 other автор(ы). MICCAI (2), том 8150 из Lecture Notes in Computer Science, стр. 279-286. Springer, (2013)Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing., , , и . CoRR, (2024)Augmenting MRI-transrectal ultrasound-guided prostate biopsy with temporal ultrasound data: a clinical feasibility study., , , , , , , , , и 5 other автор(ы). Int. J. Comput. Assist. Radiol. Surg., 10 (6): 727-735 (2015)Ultrasound-Based Characterization of Prostate Cancer Using Joint Independent Component Analysis., , , , , , , , , и 6 other автор(ы). IEEE Trans. Biomed. Eng., 62 (7): 1796-1804 (2015)Stochastic Defect Localization for Cooperative Additive Manufacturing Using Gaussian Mixture Maps., , , и . J. Comput. Inf. Sci. Eng., (2024)Neural computation for robust and holographic face detection., , , , , , , , и . DAC, стр. 31-36. ACM, (2022)Using Hidden Markov Models to capture temporal aspects of ultrasound data in prostate cancer., , , , , , , , , и 1 other автор(ы). BIBM, стр. 446-449. IEEE Computer Society, (2015)Fusion of multi-parametric MRI and temporal ultrasound for characterization of prostate cancer: in vivo feasibility study., , , , , , , , , и 9 other автор(ы). Computer-Aided Diagnosis, том 9785 из SPIE Proceedings, стр. 97851K. SPIE, (2016)