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General-Purpose Object Recognition in 3D Volume Data Sets Using Gray-Scale Invariants --- Classification of Airborne Pollen-Grains Recorded with a Confocal Laser Scanning Microscope.

, , and . ICPR (2), page 290-. IEEE Computer Society, (2002)

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Mean Shift Gradient Vector Flow: A Robust External Force Field for 3D Active Surfaces., , , , and . ICPR, page 2784-2787. IEEE Computer Society, (2010)Image Analysis of Arabidopsis Trichome Patterning in 4D Confocal Datasets., , , , , , and . ISBI, page 742-745. IEEE, (2009)Spherical Bessel Filter for 3D object detection., , , and . ISBI, page 728-733. IEEE, (2011)Cell segmentation and tracking in phase contrast images using graph cut with asymmetric boundary costs., and . ISBI, page 1220-1223. IEEE, (2015)Correction of inter-scanner and within-subject variance in structural MRI based automated diagnosing., , , , , , , , , and 1 other author(s). NeuroImage, (2014)Self-learning Segmentation and Classification of Cell-Nuclei in 3D Volumetric Data Using Voxel-Wise Gray Scale Invariants., , , and . DAGM-Symposium, volume 3663 of Lecture Notes in Computer Science, page 377-384. Springer, (2005)A Probabilistic U-Net for Segmentation of Ambiguous Images., , , , , , , , and . NeurIPS, page 6965-6975. (2018)3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation., , , , and . MICCAI (2), volume 9901 of Lecture Notes in Computer Science, page 424-432. (2016)Joint 3D cell segmentation and classification in the Arabidopsis root using energy minimization and shape priors., , , , , and . ISBI, page 422-425. IEEE, (2013)3D invariants for automated pollen recognition.. Universität Freiburg im Breisgau, (2007)