2020
Kitrungrotsakul T., Han X., Iwamoto Y. Takemoto S., Yokota H., Ipponjima S., Nemoto T., Xiong W., Chen Y.W. (2020) An end-to-end CNN and LSTM network with 3D anchors for mitotic cell detection in 4D microscopic images and its parallel implementation on multiple GPUs. Neural Comput. & Applic., 32: 5669–5679.
doi: 10.1007/s00521-019-04374-8.
Wang J., Li J., Han X.-H., Lin L., Hu H., Xu Y., Chen Q., Iwamoto Y., Chen Y.-W. (2020) Tensor-based Sparse Representations of Multi-phase Medical Images for Classification of Focal Liver Lesions. Pattern Recognition Letter, 130: 207-215.
doi: 10.1016/j.patrec.2019.01.001.
Kitrungrotsakul T., Han X.-H., Iwamoto Y., Takemoto S., Yokota H., Ipponjima S., Nemoto T., Xiong W., Chen Y.-W. (2019) A Cascade of 2.5D CNN and Bidirectional CLSTM Network for Mitotic Cell Detection in 4D Microscopy Image. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2019;10.1109/TCBB.2019.2919015.
doi: 10.1109/TCBB.2019.2919015.
Yang S., Han X., Chen Y.-W., (2019) Three-Dimensional Embryonic Image Segmentation and Registration Based on Shape Index and Ellipsoid-fitting Method. International Journal of Computational Biology, 26 (2): 128-142.
doi: 10.1089/cmb.2018.0165.
2018
Yang S.H., Han X.H., Chen Y.-W. (2018) Automatic Segmentation of Cellular/Nuclear Boundaries Based on the Shape Index of Image Intensity Surfaces. In: Chen YW., Tanaka S., Howlett R., Jain L. (eds) Innovation in Medicine and Healthcare 2017 . KES-InMed 2018 2017. Smart Innovation, Systems and Technologies, vol 71. Springer, Cham.
doi: 10.1007/978-3-319-59397-5_8.
2017
Qiao X., Liu X., Chen Y.-W., Liu Z.-P. (2017) Multi-Dimentional Data Reperensentation Using Linear Tensor Coding. IET Image Processing, 11 (7): 492-501.
doi:10.1049/iet-ipr.2016.0795.
Han X.-H., Chen Y.-W. (2017) Generalized Aggregation of Sparse Coded Multi-Spectra for Satellite Scene Classification, ISPRS Int. J. Geo-Inf., 6: 175-191.
doi:10.3390/ijgi6060175.
Wang J., Han X.-H., Xu Y., Lin L., Hu H., Jin C., Chen Y.-W. (2017) Tensor Sparse Representation of Temporal Features for Content-Based Retrieval of Focal Liver Lesions Using Multi-Phase Medical Images. Proc. of The 19th IEEE International Symposium on Multimedia 2017 (ISM2017), Taichung, Taiwan.
doi:10.1109/ISM.2017.100.
