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The Effect of Virtual Reality Cognitive Training for Attention Enhancement.

, , , , , , , и . Cyberpsy., Behavior, and Soc. Networking, 5 (2): 129-137 (2002)

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Ik-hwan Cho

Seungcheol Baek

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Sohee Baek

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Learning a Structured Graphical Model with Boosted Top-Down Features for Ultrasound Image Segmentation., , , , , , , и . MICCAI (1), том 8149 из Lecture Notes in Computer Science, стр. 227-234. Springer, (2013)The Effect of Virtual Reality Cognitive Training for Attention Enhancement., , , , , , , и . Cyberpsy., Behavior, and Soc. Networking, 5 (2): 129-137 (2002)A New Approach for Personal Identification Based on dVCG., , , , и . IEICE Trans. Inf. Syst., 91-D (4): 1201-1205 (2008)Ultrasound breast lesion segmentation using adaptive parameters., , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 9035 из SPIE Proceedings, стр. 90351E. SPIE, (2014)Computer-aided lesion diagnosis in B-mode ultrasound by border irregularity and multiple sonographic features., , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 8670 из SPIE Proceedings, стр. 86701O. SPIE, (2013)Multiobjective evolutionary optimization for tumor segmentation of breast ultrasound images., , , , , , и . EMBC, стр. 3650-3653. IEEE, (2013)Performance improvement of deep learning based gesture recognition using spatiotemporal demosaicing technique., , , , , , , , , и 3 other автор(ы). ICIP, стр. 1624-1628. IEEE, (2016)Fast microcalcification detection in ultrasound images using image enhancement and threshold adjacency statistics., , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 8670 из SPIE Proceedings, стр. 86701Q. SPIE, (2013)VRIFA: a nonlinear SVM visualization tool using nomogram and localized radial basis function (LRBF) kernels., , , , , и . CIKM, стр. 2081-2082. ACM, (2009)Application of irregular and unbalanced data to predict diabetic nephropathy using visualization and feature selection methods., , , , , и . Artif. Intell. Medicine, 42 (1): 37-53 (2008)