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Learning to Segment Neurons with Non-local Quality Measures.

, , , , and . MICCAI (2), volume 8150 of Lecture Notes in Computer Science, page 419-427. Springer, (2013)

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Learning-based Segmentation for Connectomics. Heidelberg University, Germany, (2014)base-search.net (ftunivheidelb:oai:archiv.ub.uni-heidelberg.de:16834).Automated Multiscale 3D Feature Learning for Vessels Segmentation in Thorax CT Images., , , , and . CoRR, (2019)Fully Convolutional Deep Network Architectures for Automatic Short Glass Fiber Semantic Segmentation from CT scans., , , , , , , and . CoRR, (2019)Reference Setup for Quantitative Comparison of Segmentation Techniques for Short Glass Fiber CT Data., , , , , , and . CoRR, (2019)How to Extract the Geometry and Topology from Very Large 3D Segmentations, , , and . CoRR, (2010)Automated cell nucleus detection for large-volume electron microscopy of neural tissue., , , and . ISBI, page 69-72. IEEE, (2014)3D segmentation of SBFSEM images of neuropil by a graphical model over supervoxel boundaries., , , , , , and . Medical Image Anal., 16 (4): 796-805 (2012)Globally Optimal Closed-Surface Segmentation for Connectomics., , , , , , , and . ECCV (3), volume 7574 of Lecture Notes in Computer Science, page 778-791. Springer, (2012)Runtime-Flexible Multi-dimensional Arrays and Views for C++98 and C++0x, , , and . CoRR, (2010)Instance Segmentation of Fibers from Low Resolution CT Scans via 3D Deep Embedding Learning., , , and . BMVC, page 268. BMVA Press, (2018)