T. Smafield, V. Pasupuleti, K. Sharma, R.L. Huganir, B. Ye, J. Zhou, “Automatic Dendritic Length Quantification for High Throughput Screening of Mature Neurons,” Neuroinformatics, 2015. doi:10.1007/s12021-015-9267-4.
L. Yang, R. Li, T. Kaneko, K. Takle, R.K. Morikawa, L. Essex, X. Wang, J. Zhou, K. Emoto, Y. Xiang, B. Ye, “Trim9 Regulates Activity-Dependent Fine-Scale Topography in Drosophila,” Current Biology, 2014, doi:http://dx.doi.org/10.1016/j.cub.2014.03.041.
J. Zhou, S. Lamichhane, G. Sterne, B. Ye, H.C. Peng, “BIOCAT: A Pattern Recognition Platform for Customizable Biological Image Classification and Annotation,” BMC Bioinformatics, 2013, 14:291 doi:10.1186/1471-2105-14-291.
J. Zhou, A. Brunson, J. Winans, K. Duffin and N. Karonis, “Performance Model Selection for Learning-based Biological Image Analysis on a Cluster,” ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM BCB 2013). Washington D.C. Sept. 2013. pp324-332.
S. Lamichhace and J. Zhou, “Automatic Analysis of Dendritic Territory for Neuronal Images,” International Symposium on Bioinformatics Research and Applications. Dallas, Texas. May 21-23, 2012.
J. Zhou and H.C. Peng, “Counting Cells in 3D Confocal Images Based on Discriminative Models,” ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM BCB 2011). pp309-403.
J. Zhou and J. Zhang, “Pointwise Regression and Clustering Analysis for 3D Gene Expression in the Drosophila Blastoderm,” Workshop on Microscopic Image Analysis with Applications to Biology (MIAAB 2011).
B. S. Divakaruni and J. Zhou, “Image categorization using codebooks built from scored and selected local features,” The 2011 International Conference on Image Processing, Computer Vision and Pattern Recognition (IPCV 2011).
J. Zhou, J. Yao, J. Deng and J. Dewald, “EEG-based classification for elbow versus shoulder torque intentions involving stroke subjects ,” Computers in Biology and Medicine. 39:443-452. 2009.
J. Zhou, H. C. Peng, and C. Y. Suen, “Data driven decomposition for multi-class classification”, Pattern Recognition, 41:67-76, 2008.
J. Zhou and H. C. Peng, “Automatic recognition and annotation of gene expression patterns of fly embryos,” Bioinformatics, 23(5):589-596, 2007.
H. C. Peng, F. H. Long, J. Zhou, G. Leung, M. Eisen, and E. Myers, “Automatic image analysis for gene expression patterns of fly embryos,” BMC Cell Biology, vol. 8. 2007.
J. Zhou and S. Yedida, “Channel selection in EEG-based prediction of shoulder/elbow movement intentions: a computational approach”,IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB2007), pp.455-460, 2007.
J. Zhou and H. C. Peng, “Automatic recognition and annotation of gene expression patterns of fly embryos”, Workshop on Multiscale Biological Imaging, Data Mining & Informatics (Bioimage Informatics 2006), pp.49-50, 2006.