TED: A Tolerant Edit Distance for segmentation evaluation.
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Francesc Moreno-Noguer | Matthew Cook | Jonas Klein | Jan Funke | Albert Cardona | A. Cardona | F. Moreno-Noguer | Jan Funke | Matthew Cook | Jonas Klein
[1] Gerhard Stephan,et al. Segmented anisotropic ssTEM dataset of neural tissue , 2013 .
[2] Francesc Moreno-Noguer,et al. Structured learning of assignment models for neuron reconstruction to minimize topological errors , 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).
[3] Martial Hebert,et al. Toward Objective Evaluation of Image Segmentation Algorithms , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Kevin L. Briggman,et al. Structural neurobiology: missing link to a mechanistic understanding of neural computation , 2012, Nature Reviews Neuroscience.
[5] M. London,et al. Dendritic computation. , 2005, Annual review of neuroscience.
[6] Martial Hebert,et al. Measures of Similarity , 2005, 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1.
[7] James J. Little,et al. A Linear Programming Approach for Multiple Object Tracking , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[8] Luca Maria Gambardella,et al. Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images , 2012, NIPS.
[9] Albert Cardona. Towards Semi-Automatic Reconstruction of Neural Circuits , 2012, Neuroinformatics.
[10] Amelio Vázquez Reina,et al. Large-Scale Automatic Reconstruction of Neuronal Processes from Electron Microscopy Images , 2013, Medical Image Anal..
[11] Thomas Hofmann,et al. Large Margin Methods for Structured and Interdependent Output Variables , 2005, J. Mach. Learn. Res..
[12] Luca Maria Gambardella,et al. Candidate Sampling for Neuron Reconstruction from Anisotropic Electron Microscopy Volumes , 2014, MICCAI.
[13] H. Sebastian Seung,et al. Boundary Learning by Optimization with Topological Constraints , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[14] Joachim M. Buhmann,et al. Crowdsourcing the creation of image segmentation algorithms for connectomics , 2015, Front. Neuroanat..
[15] Louis K. Scheffer,et al. Small Sample Learning of Superpixel Classifiers for EM Segmentation , 2014, MICCAI.
[16] Jianbo Shi,et al. Machine Learning of Hierarchical Clustering to Segment 2D and 3D Images , 2013, PloS one.
[17] Ullrich Köthe,et al. Learning to Segment Neurons with Non-local Quality Measures , 2013, MICCAI.
[18] Matthew Cook,et al. Efficient automatic 3D-reconstruction of branching neurons from EM data , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[19] Julie H. Simpson,et al. BrainAligner: 3D Registration Atlases of Drosophila Brains , 2011, Nature Methods.
[20] Viren Jain,et al. Deep and Wide Multiscale Recursive Networks for Robust Image Labeling , 2013, ICLR.
[21] Jitendra Malik,et al. From contours to regions: An empirical evaluation , 2009, CVPR.
[22] Jitendra Malik,et al. Learning to detect natural image boundaries using local brightness, color, and texture cues , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[23] Jitendra Malik,et al. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[24] Eric L. Miller,et al. Segmentation fusion for connectomics , 2011, 2011 International Conference on Computer Vision.
[25] William M. Rand,et al. Objective Criteria for the Evaluation of Clustering Methods , 1971 .
[26] Maryann E Martone,et al. The combination of chemical fixation procedures with high pressure freezing and freeze substitution preserves highly labile tissue ultrastructure for electron tomography applications. , 2008, Journal of structural biology.
[27] Ullrich Köthe,et al. A Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness , 2012, ECCV.
[28] Alexander J. Smola,et al. Bundle Methods for Regularized Risk Minimization , 2010, J. Mach. Learn. Res..
[29] Camille Roth,et al. Natural Scales in Geographical Patterns , 2017, Scientific Reports.