{"id":18,"date":"2015-09-16T20:21:49","date_gmt":"2015-09-16T20:21:49","guid":{"rendered":"http:\/\/babbage.cs.niu.edu\/niucswp\/ilaal\/?page_id=18"},"modified":"2015-09-16T20:21:49","modified_gmt":"2015-09-16T20:21:49","slug":"publications","status":"publish","type":"page","link":"https:\/\/babbage.cs.niu.edu\/niucswp\/ilaal\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"

Recent Publications<\/h1>\n

T. Smafield, V. Pasupuleti, K. Sharma, R.L. Huganir, B. Ye, J. Zhou, “Automatic Dendritic Length Quantification for High Throughput Screening of Mature Neurons<\/a>,”\u00a0Neuroinformatics, <\/em>2015. \u00a0doi:10.1007\/s12021-015-9267-4.<\/p>\n

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<\/a>,” Current Biology<\/em>, 2014, doi:http:\/\/dx.doi.org\/10.1016\/j.cub.2014.03.041.<\/p>\n

J. Zhou, S. Lamichhane, G. Sterne, B. Ye, H.C. Peng, “BIOCAT: A Pattern Recognition Platform for Customizable Biological Image Classification and Annotation<\/a>,”\u00a0BMC Bioinformatics<\/em>, 2013, 14:291 doi:10.1186\/1471-2105-14-291.<\/p>\n

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)<\/em>. Washington D.C. Sept. 2013. pp324-332.<\/p>\n

S. Lamichhace and J. Zhou, “Automatic Analysis of Dendritic Territory for Neuronal Images,” International Symposium on Bioinformatics Research and Applications.<\/em>\u00a0Dallas, Texas. May 21-23, 2012.<\/p>\n

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)<\/em>. pp309-403.<\/p>\n

J. Zhou and J. Zhang, “Pointwise Regression and Clustering Analysis for 3D Gene Expression in the Drosophila Blastoderm,”\u00a0Workshop on Microscopic Image Analysis with Applications to Biology (MIAAB 2011)<\/em>.<\/p>\n

B. S. Divakaruni and J. Zhou, “Image categorization using codebooks built from scored and selected local features<\/a>,” The 2011 International Conference on Image Processing, Computer Vision and Pattern Recognition (IPCV 2011).<\/p>\n

J. Zhou, J. Yao, J. Deng and J. Dewald, “EEG-based classification for elbow versus shoulder torque intentions involving stroke subjects ,”\u00a0Computers in Biology and Medicine.<\/i> 39:443-452. 2009.<\/p>\n

J. Zhou, H. C. Peng, and C. Y. Suen, “Data driven decomposition for multi-class classification”, Pattern Recognition<\/i>, 41:67-76, 2008.<\/p>\n

J. Zhou and H. C. Peng, “Automatic recognition and annotation of gene expression patterns of fly embryos,”\u00a0Bioinformatics<\/i>, 23(5):589-596, 2007.<\/p>\n

H. C. Peng, F. H. Long, J. Zhou,\u00a0 G. Leung,\u00a0 M. Eisen, and\u00a0 E. Myers, “Automatic image analysis for gene expression patterns of fly embryos<\/a>,”\u00a0BMC Cell Biology<\/i>, vol. 8. 2007.<\/p>\n

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<\/i> (CIBCB2007), pp.455-460, 2007.<\/p>\n

J. Zhou and H. C. Peng, “Automatic recognition and annotation of gene expression patterns of fly embryos”, Workshop on Multiscale Biological\u00a0 Imaging, Data Mining\u00a0 & Informatics<\/i> (Bioimage Informatics 2006), pp.49-50, 2006.<\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

Recent Publications T. Smafield, V. Pasupuleti, K. Sharma, R.L. Huganir, B. Ye, J. Zhou, “Automatic Dendritic Length Quantification for High Throughput Screening of Mature Neurons,”\u00a0Neuroinformatics, 2015. \u00a0doi:10.1007\/s12021-015-9267-4. L. Yang, R. Li, T. Kaneko, K. Takle, R.K. Morikawa, L. Essex, X.…<\/span><\/p>\n

Read more ›<\/a><\/div>\n

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