{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T01:43:55Z","timestamp":1775007835926,"version":"3.50.1"},"reference-count":49,"publisher":"Springer Science and Business Media LLC","issue":"3-4","license":[{"start":{"date-parts":[[2018,2,12]],"date-time":"2018-02-12T00:00:00Z","timestamp":1518393600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2018,2,12]],"date-time":"2018-02-12T00:00:00Z","timestamp":1518393600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/100000144","name":"Division of Computer and Network Systems","doi-asserted-by":"publisher","award":["1629913"],"award-info":[{"award-number":["1629913"]}],"id":[{"id":"10.13039\/100000144","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000153","name":"Division of Biological Infrastructure","doi-asserted-by":"crossref","award":["1661280"],"award-info":[{"award-number":["1661280"]}],"id":[{"id":"10.13039\/100000153","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100000153","name":"Division of Biological Infrastructure","doi-asserted-by":"crossref","award":["1661289"],"award-info":[{"award-number":["1661289"]}],"id":[{"id":"10.13039\/100000153","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neuroinform"],"published-print":{"date-parts":[[2018,10]]},"DOI":"10.1007\/s12021-018-9361-5","type":"journal-article","created":{"date-parts":[[2018,2,12]],"date-time":"2018-02-12T14:13:11Z","timestamp":1518444791000},"page":"339-349","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Large-scale Exploration of Neuronal Morphologies Using Deep Learning and Augmented Reality"],"prefix":"10.1007","volume":"16","author":[{"given":"Zhongyu","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Erik","family":"Butler","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kang","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aidong","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuiwang","family":"Ji","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8719-448X","authenticated-orcid":false,"given":"Shaoting","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,2,12]]},"reference":[{"key":"9361_CR1","first-page":"153","volume":"19","author":"Y Bengio","year":"2007","unstructured":"Bengio, Y., Lamblin, P., Popovici, D., & Larochelle, H. (2007). Greedy layer-wise training of deep networks. NIPS, 19, 153.","journal-title":"NIPS"},{"issue":"1","key":"9361_CR2","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/S0165-0270(98)00091-0","volume":"84","author":"RC Cannon","year":"1998","unstructured":"Cannon, R.C., Turner, D.A., Pyapali, G.K., & Wheal, H.V. (1998). An on-line archive of reconstructed hippocampal neurons. Journal of Neuroscience Methods, 84(1), 49\u201354.","journal-title":"Journal of Neuroscience Methods"},{"key":"9361_CR3","doi-asserted-by":"crossref","unstructured":"Conjeti, S., Katouzian, A., Kazi, A., Mesbah, S., Beymer, D., Syeda-Mahmood, T.F., & Navab, N. (2016a). Metric hashing forests. Medical image analysis, 34, 13\u201329.","DOI":"10.1016\/j.media.2016.05.010"},{"key":"9361_CR4","doi-asserted-by":"crossref","unstructured":"Conjeti, S., Mesbah, S., Negahdar, M., Rautenberg, P.L., Zhang, S., Navab, N., & Katouzian, A. (2016b). Neuron-miner: an advanced tool for morphological search and retrieval in neuroscientific image databases. Neuroinformatics, 14(4), 369\u2013385.","DOI":"10.1007\/s12021-016-9300-2"},{"key":"9361_CR5","doi-asserted-by":"publisher","first-page":"150","DOI":"10.3389\/fncom.2010.00150","volume":"4","author":"LDF Costa","year":"2010","unstructured":"Costa, L.D.F., Zawadzki, K., Miazaki, M., Viana, M.P., & Taraskin, S. (2010). Unveiling the neuromorphological space. Frontiers in Computational Neuroscience, 4, 150\u2013163.","journal-title":"Frontiers in Computational Neuroscience"},{"issue":"2","key":"9361_CR6","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1016\/j.neuron.2016.06.012","volume":"91","author":"M Costa","year":"2016","unstructured":"Costa, M., Manton, J.D., Ostrovsky, A.D., Prohaska, S., & Jefferis, G.S. (2016). NBLAST: Rapid, sensitive comparison of neuronal structure and construction of neuron family databases. Neuron, 91(2), 293\u2013311.","journal-title":"Neuron"},{"issue":"12","key":"9361_CR7","doi-asserted-by":"publisher","first-page":"2916","DOI":"10.1109\/TPAMI.2012.193","volume":"35","author":"Y Gong","year":"2013","unstructured":"Gong, Y., Lazebnik, S., Gordo, A., & Perronnin, F. (2013). Iterative quantization: a procrustean approach to learning binary codes for large-scale image retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(12), 2916\u20132929.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"9361_CR8","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., & Sun, J. (2016). Deep residual learning for image recognition. In Proceedings of the IEEE conference on Computer Vision and Pattern Recognition (CVPR) (pp. 770\u2013778).","DOI":"10.1109\/CVPR.2016.90"},{"issue":"5786","key":"9361_CR9","doi-asserted-by":"publisher","first-page":"504","DOI":"10.1126\/science.1127647","volume":"313","author":"GE Hinton","year":"2006","unstructured":"Hinton, G.E., & Salakhutdinov, R.R. (2006). Reducing the dimensionality of data with neural networks. Science, 313(5786), 504\u2013507.","journal-title":"Science"},{"key":"9361_CR10","unstructured":"Ioffe, S., & Szegedy, C. (2015). Batch normalization: accelerating deep network training by reducing internal covariate shift. In International Conference on Machine Learning (ICML) (pp. 448\u2013456)."},{"issue":"12","key":"9361_CR11","doi-asserted-by":"publisher","first-page":"2270","DOI":"10.1016\/j.patcog.2005.01.012","volume":"38","author":"A Jain","year":"2005","unstructured":"Jain, A., Nandakumar, K., & Ross, A. (2005). Score normalization in multimodal biometric systems. Pattern recognition, 38(12), 2270\u20132285.","journal-title":"Pattern recognition"},{"issue":"1","key":"9361_CR12","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1186\/1471-2105-14-222","volume":"14","author":"S Ji","year":"2013","unstructured":"Ji, S. (2013). Computational genetic neuroanatomy of the developing mouse brain: dimensionality reduction, visualization, and clustering. BMC bioinformatics, 14(1), 222.","journal-title":"BMC bioinformatics"},{"key":"9361_CR13","unstructured":"Krizhevsky, A., Sutskever, I., & Hinton, G.E. (2012). Imagenet classification with deep convolutional neural networks. In Advances in Neural Information Processing Systems (NIPS) (pp. 1097\u20131105)."},{"issue":"7553","key":"9361_CR14","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"Y LeCun","year":"2015","unstructured":"LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436\u2013444.","journal-title":"Nature"},{"issue":"11","key":"9361_CR15","doi-asserted-by":"publisher","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y LeCun","year":"1998","unstructured":"LeCun, Y., Bottou, L., Bengio, Y., & Haffner, P. (1998). Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11), 2278\u20132324.","journal-title":"Proceedings of the IEEE"},{"key":"9361_CR16","doi-asserted-by":"crossref","unstructured":"Li, R., Zeng, T., Peng, H., & Ji, S. (2017a). Deep learning segmentation of optical microscopy images improves 3-D neuron reconstruction. IEEE Transactions on Medical Imaging, 36(7), 1533\u20131541.","DOI":"10.1109\/TMI.2017.2679713"},{"key":"9361_CR17","doi-asserted-by":"crossref","unstructured":"Li, Z., Fang, R., Shen, F., Katouzian, A., & Zhang, S. (2017b). Indexing and mining large-scale neuron databases using maximum inner product search. Pattern Recognition, 63, 680\u2013688.","DOI":"10.1016\/j.patcog.2016.09.041"},{"key":"9361_CR18","doi-asserted-by":"crossref","unstructured":"Li, Z., Metaxas, D.N., Lu, A., & Zhang, S. (2017c). Interactive exploration for continuously expanding neuron databases. Methods, 115, 100\u2013109.","DOI":"10.1016\/j.ymeth.2017.02.005"},{"key":"9361_CR19","doi-asserted-by":"crossref","unstructured":"Li, Z., Shen, F., Fang, R., Conjeti, S., Katouzian, A., & Zhang, S. (2016). Maximum inner product search for morphological retrieval of large-scale neuron data.. In International Symposium on Biomedical Imaging (ISBI) (pp. 602\u2013606).","DOI":"10.1109\/ISBI.2016.7493340"},{"key":"9361_CR20","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1016\/j.media.2017.09.007","volume":"43","author":"Z Li","year":"2018","unstructured":"Li, Z., Zhang, X., Mller, H., & Zhang, S. (2018). Large-scale retrieval for medical image analytics: A comprehensive review. Medical Image Analysis, 43, 66\u201384.","journal-title":"Medical Image Analysis"},{"issue":"11","key":"9361_CR21","doi-asserted-by":"publisher","first-page":"2450","DOI":"10.1109\/TCSVT.2016.2592329","volume":"27","author":"J Liu","year":"2017","unstructured":"Liu, J., Zhang, S., Liu, W., Deng, C., Zheng, Y., & Metaxas, D.N. (2017). Scalable mammogram retrieval using composite anchor graph hashing with iterative quantization. IEEE Transactions on Circuits and Systems for Video Technology, 27(11), 2450\u20132460.","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"9361_CR22","unstructured":"Liu, W., Wang, J., Ji, R., Jiang, Y.G., & Chang, S.F. (2012). Super vised hashing with kernels. In Proceedings of the IEEE conference on Computer Vision and Pattern Recognition (CVPR) (pp. 2074\u20132081)."},{"key":"9361_CR23","unstructured":"Liu, W., Wang, J., Kumar, S., & Chang, S.F. (2011). Hashing with graphs. In International Conference on Machine Learning (ICML) (pp. 1\u20138)."},{"key":"9361_CR24","doi-asserted-by":"crossref","unstructured":"Masci, J., Meier, U., Ciresan, D., & Schmidhuber, J. (2011). Stacked convolutional auto-encoders for hierarchical feature extraction. ICANN, 52\u201359.","DOI":"10.1007\/978-3-642-21735-7_7"},{"key":"9361_CR25","doi-asserted-by":"crossref","unstructured":"Mesbah, S., Conjeti, S., Kumaraswamy, A., Rautenberg, P., Navab, N., & Katouzian, A. (2015). Hashing forests for morphological search and retrieval in neuroscientific image databases. In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) (pp. 52\u201359).","DOI":"10.1007\/978-3-319-24571-3_17"},{"key":"9361_CR26","doi-asserted-by":"crossref","unstructured":"Mukherjee, S., Basu, S., Condron, B., & Acton, S.T. (2013). Tree2Tree2: neuron tracing in 3D. In International Symposium on Biomedical Imaging (ISBI) (pp. 448\u2013451).","DOI":"10.1109\/ISBI.2013.6556508"},{"key":"9361_CR27","unstructured":"Nair, V., & Hinton, G.E. (2010). Rectified linear units improve restricted boltzmann machines. In International Conference on Machine Learning (ICML) (pp. 807\u2013814)."},{"issue":"4","key":"9361_CR28","doi-asserted-by":"publisher","first-page":"348","DOI":"10.1038\/nbt.1612","volume":"28","author":"H Peng","year":"2010","unstructured":"Peng, H., Ruan, Z., Long, F., Simpson, J.H., & Myers, E.W. (2010). V3D enables real-time 3D visualization and quantitative analysis of large-scale biological image data sets. Nature biotechnology, 28(4), 348\u2013353.","journal-title":"Nature biotechnology"},{"key":"9361_CR29","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1146\/annurev-statistics-010814-020120","volume":"2","author":"R Salakhutdinov","year":"2015","unstructured":"Salakhutdinov, R. (2015). Learning deep generative models. Annual Review of Statistics and Its Application, 2, 361\u2013385.","journal-title":"Annual Review of Statistics and Its Application"},{"issue":"5","key":"9361_CR30","doi-asserted-by":"publisher","first-page":"866","DOI":"10.1038\/nprot.2008.51","volume":"3","author":"R Scorcioni","year":"2008","unstructured":"Scorcioni, R., Polavaram, S., & Ascoli, G.A. (2008). L-Measure: a web-accessible tool for the analysis, comparison and search of digital reconstructions of neuronal morphologies. Nature protocols, 3(5), 866\u2013876.","journal-title":"Nature protocols"},{"key":"9361_CR31","doi-asserted-by":"crossref","unstructured":"Shen, F., Liu, W., Zhang, S., Yang, Y., & Shen, H.T. (2015). Learning binary codes for maximum inner product search. In IEEE International Conference on Computer Vision (ICCV) (pp. 4148\u20134156).","DOI":"10.1109\/ICCV.2015.472"},{"issue":"9","key":"9361_CR32","doi-asserted-by":"publisher","first-page":"2022","DOI":"10.1109\/TMM.2017.2699863","volume":"19","author":"F Shen","year":"2017","unstructured":"Shen, F., Yang, Y., Liu, L., Liu, W., Tao, D., & Shen, H.T. (2017). Asymmetric binary coding for image search. IEEE Transactions on Multimedia, 19(9), 2022\u20132032.","journal-title":"IEEE Transactions on Multimedia"},{"key":"9361_CR33","unstructured":"Simonyan, K., & Zisserman, A. (2014). Very deep convolutional networks for large-scale image recognition, arXiv:\n                    1409.1556\n                    \n                  ."},{"key":"9361_CR34","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., & Rabinovich, A. (2015). Going deeper with convolutions. In Proceedings of the IEEE conference on Computer Vision and Pattern Recognition (CVPR) (pp. 1\u20139).","DOI":"10.1109\/CVPR.2015.7298594"},{"issue":"4","key":"9361_CR35","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1007\/s12021-015-9272-7","volume":"13","author":"Y Wan","year":"2015","unstructured":"Wan, Y., Long, F., Qu, L., Xiao, H., Hawrylycz, M., Myers, E.W., & Peng, H. (2015). BlastNeuron for automated comparison, retrieval and clustering of 3D neuron morphologies. Neuroinformatics, 13(4), 487\u2013499.","journal-title":"Neuroinformatics"},{"issue":"1","key":"9361_CR36","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1109\/JPROC.2015.2487976","volume":"104","author":"J Wang","year":"2016","unstructured":"Wang, J., Liu, W., Kumar, S., & Chang, S.F. (2016). Learning to hash for indexing big dataa survey. Proceedings of the IEEE, 104(1), 34\u201357.","journal-title":"Proceedings of the IEEE"},{"key":"9361_CR37","unstructured":"Weiss, Y., Torralba, A., & Fergus, R. (2009). Spectral hashing. In Advances in Neural Information Processing Systems (NIPS) (pp. 1753\u20131760)."},{"issue":"4","key":"9361_CR38","doi-asserted-by":"publisher","first-page":"1968","DOI":"10.1016\/j.neuroimage.2011.03.050","volume":"56","author":"G Wu","year":"2011","unstructured":"Wu, G., Jia, H., Wang, Q., & Shen, D. (2011). SharpMean: groupwise registration guided by sharp mean image and tree-based registration. NeuroImage, 56(4), 1968\u20131981.","journal-title":"NeuroImage"},{"key":"9361_CR39","doi-asserted-by":"crossref","unstructured":"Yan, C., Zhang, Y., Dai, F., Wang, X., Li, L., & Dai, Q. (2014a). Parallel deblocking filter for HEVC on many-core processor. Electronics Letters, 50(5), 367\u2013368.","DOI":"10.1049\/el.2013.3235"},{"key":"9361_CR40","doi-asserted-by":"crossref","unstructured":"Yan, C., Zhang, Y., Xu, J., Dai, F., Li, L., Dai, Q., & Wu, F. (2014b). A highly parallel framework for HEVC coding unit partitioning tree decision on many-core processors. IEEE Signal Processing Letters, 21(5), 573\u2013576.","DOI":"10.1109\/LSP.2014.2310494"},{"key":"9361_CR41","doi-asserted-by":"crossref","unstructured":"Yan, C., Zhang, Y., Xu, J., Dai, F., Zhang, J., Dai, Q., & Wu, F. (2014c). Efficient parallel framework for HEVC motion estimation on many-core processors. IEEE Transactions on Circuits and Systems for Video Technology, 24(12), 2077\u20132089.","DOI":"10.1109\/TCSVT.2014.2335852"},{"key":"9361_CR42","doi-asserted-by":"crossref","unstructured":"Yu, G., & Yuan, J. (2014). Scalable forest hashing for fast similarity search. In IEEE International Conference on Multimedia and Expo (ICME) (pp. 1\u20136).","DOI":"10.1109\/ICME.2014.6890219"},{"key":"9361_CR43","doi-asserted-by":"crossref","unstructured":"Zeiler, M.D., Taylor, G.W., & Fergus, R. (2011). Adaptive deconvolutional networks for mid and high level feature learning. In IEEE International Conference on Computer Vision (ICCV) (pp. 2018\u20132025).","DOI":"10.1109\/ICCV.2011.6126474"},{"key":"9361_CR44","doi-asserted-by":"crossref","unstructured":"Zhang, S., Yang, M., Cour, T., Yu, K., & Metaxas, D.N. (2015a). Query specific rank fusion for image retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(4), 803\u2013815.","DOI":"10.1109\/TPAMI.2014.2346201"},{"issue":"5","key":"9361_CR45","doi-asserted-by":"publisher","first-page":"1377","DOI":"10.1109\/JBHI.2015.2461671","volume":"20","author":"X Zhang","year":"2016","unstructured":"Zhang, X., Dou, H., Ju, T., Xu, J., & Zhang, S. (2016). Fusing heterogeneous features from stacked sparse autoencoder for histopathological image analysis. IEEE journal of biomedical and health informatics, 20(5), 1377\u20131383.","journal-title":"IEEE journal of biomedical and health informatics"},{"key":"9361_CR46","doi-asserted-by":"crossref","unstructured":"Zhang, X., Liu, W., Dundar, M., Badve, S., & Zhang, S. (2015b). Towards large-scale histopathological image analysis: Hashing-based image retrieval. IEEE Transactions on Medical Imaging, 34(2), 496\u2013506.","DOI":"10.1109\/TMI.2014.2361481"},{"key":"9361_CR47","doi-asserted-by":"crossref","unstructured":"Zhang, X., Xing, F., Su, H., Yang, L., & Zhang, S. (2015c). High-throughput histopathological image analysis via robust cell segmentation and hashing. Medical image analysis, 26(1), 306\u2013315.","DOI":"10.1016\/j.media.2015.10.005"},{"issue":"1","key":"9361_CR48","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1007\/s12021-015-9278-1","volume":"14","author":"Z Zhou","year":"2016","unstructured":"Zhou, Z., Liu, X., Long, B., & Peng, H. (2016). TReMAP: automatic 3D neuron reconstruction based on tracing, reverse mapping and assembling of 2D projections. Neuroinformatics, 14(1), 41\u201350.","journal-title":"Neuroinformatics"},{"issue":"2","key":"9361_CR49","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1007\/s12021-014-9249-y","volume":"13","author":"Z Zhou","year":"2015","unstructured":"Zhou, Z., Sorensen, S., Zeng, H., Hawrylycz, M., & Peng, H. (2015). Adaptive image enhancement for tracing 3D morphologies of neurons and brain vasculatures. Neuroinformatics, 13(2), 153\u2013166.","journal-title":"Neuroinformatics"}],"container-title":["Neuroinformatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12021-018-9361-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12021-018-9361-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12021-018-9361-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,17]],"date-time":"2020-05-17T16:16:15Z","timestamp":1589732175000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12021-018-9361-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,2,12]]},"references-count":49,"journal-issue":{"issue":"3-4","published-print":{"date-parts":[[2018,10]]}},"alternative-id":["9361"],"URL":"https:\/\/doi.org\/10.1007\/s12021-018-9361-5","relation":{},"ISSN":["1539-2791","1559-0089"],"issn-type":[{"value":"1539-2791","type":"print"},{"value":"1559-0089","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,2,12]]},"assertion":[{"value":"12 February 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}