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Icon: An Interactive Approach to Train Deep Neural Networks for Segmentation of Neuronal Structures.

F. Gonda, V. Kaynig, T. Jones, D. Haehn, J. Lichtman, T. Parag, and H. Pfister. CoRR, (2016)

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Ssecrett and NeuroTrace: Interactive Visualization and Analysis Tools for Large-Scale Neuroscience Data Sets.W. Jeong, J. Beyer, M. Hadwiger, R. Blue, C. Law, A. Reina, R. Reid, J. Lichtman, and H. Pfister. IEEE Computer Graphics and Applications, 30 (3): 58-70 (2010)3D Axon Structure Extraction and Analysis in Confocal Fluorescence Microscopy Images.Y. Zhang, X. Zhou, J. Lu, J. Lichtman, D. Adjeroh, and S. Wong. Neural Computation, 20 (8): 1899-1927 (2008)Icon: An Interactive Approach to Train Deep Neural Networks for Segmentation of Neuronal Structures.F. Gonda, V. Kaynig, T. Jones, D. Haehn, J. Lichtman, T. Parag, and H. Pfister. CoRR, (2016)Large-Scale Automatic Reconstruction of Neuronal Processes from Electron Microscopy ImagesV. Kaynig, A. Reina, S. Knowles-Barley, M. Roberts, T. Jones, N. Kasthuri, E. Miller, J. Lichtman, and H. Pfister. CoRR, (2013)Large-scale automatic reconstruction of neuronal processes from electron microscopy images.V. Kaynig, A. Reina, S. Knowles-Barley, M. Roberts, T. Jones, N. Kasthuri, E. Miller, J. Lichtman, and H. Pfister. Medical Image Analysis, 22 (1): 77-88 (2015)Using nonlinear diffusion and mean shift to detect and connect cross-sections of axons in 3D optical microscopy images.H. Cai, X. Xu, J. Lu, J. Lichtman, S. Yung, and S. Wong. Medical Image Analysis, 12 (6): 666-675 (2008)The open connectome project data cluster: scalable analysis and vision for high-throughput neuroscience.R. Burns, K. Lillaney, D. Berger, L. Grosenick, K. Deisseroth, R. Reid, W. Roncal, P. Manavalan, D. Bock, N. Kasthuri and 10 other author(s). SSDBM, page 27:1-27:11. ACM, (2013)Neural Process Reconstruction from Sparse User Scribbles.M. Roberts, W. Jeong, A. Reina, M. Unger, H. Bischof, J. Lichtman, and H. Pfister. MICCAI (1), volume 6891 of Lecture Notes in Computer Science, page 621-628. Springer, (2011)Shape-constrained repulsive snake method to segment and track neurons in 3D microscopy images.H. Cai, X. Xu, J. Lu, J. Lichtman, S. Yung, and S. Wong. ISBI, page 538-541. IEEE, (2006)High Throughput Connectomics (Dagstuhl Seminar 18481).M. Helmstaedter, J. Lichtman, and N. Shavit. Dagstuhl Reports, 8 (11): 112-138 (2018)

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Icon: An Interactive Approach to Train Deep Neural Networks for Segmentation of Neuronal Structures.

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Disambiguation of "Lichtman, Jeff"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Icon: An Interactive Approach to Train Deep Neural Networks for Segmentation of Neuronal Structures.

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Icon: An Interactive Approach to Train Deep Neural Networks for Segmentation of Neuronal Structures.