2018
Yamada R., Ide H., Yudistira N., Kurita T. (2018) Texture Segmentation using Siamese Network and Hierarchical Region Merging. 2018 24th International Conference on Pattern Recognition (ICPR), Beijing, 2735-2740.
doi: 10.1109/ICPR.2018.8545348.
2017
Kavitha M.S., Kurita T., Park S.-Y., Chien S.-I., Bae J.-S., Ahn B.-C. (2017) Deep vector-based convolutional neural network approach for automatic recognition of colonies of induced pluripotent stem cells. PLoS ONE, 12 (12): e0189974.
doi: 10.1371/journal.pone.0189974.
Hirakawa T., Tamaki T., Kurita T., Raytchev B., Kaneda K., Wang C., Najman L., T.Koide, Yoshida S., Mieno H. Tanaka S. (2017) Discriminative Subtree Selection for NBI Endoscopic Image Labeling. In: Chen CS., Lu J., Ma KK. (eds) Computer Vision – ACCV 2016 Workshops. ACCV 2016. Lecture Notes in Computer Science, vol 10117. Springer, Cham.
doi: 10.1007/978-3-319-54427-4_44.
Yamanaka J., Kuwashima S., Kurita T. (2017) Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network. Proc. of ICONIP2017, Part II, LNCS 10635, 217-225. arXiv:1707.05425.
Fukushima Y., and Kurita T.(2016) Hierarchical region merging with region adjacency graph constraints using hypercolumns extracted from the trained CNN. Proc. of the International Workshop on Frontiers of Computer Vision (FCV2017).
2016
Raytchev B., Masuda A., Minakawa M., Tanaka K., Kurita T., Imamura T., Suzuki M., Tamaki T., Kaneda K. (2016) Detection of Differentiated vs. Undifferentiated Colonies of iPS Cells Using Random Forests Modeled with the Multivariate Polya Distribution. MICCAI 2016, Part II, LNCS9901, 667-675.
doi:10.1007/978-3-319-46723-8_77.
Hidaka A., Kurita T. (2016) Optimum Nonlinear Discriminant Analysis and Discriminant Kernel Support Vector Machine. IEICE Transactions on Info. & Syst., 99-D(11): 2734-2744.
doi:10.1587/transinf.2016EDP7081.
